What vaccine candidates are being tested for Covid-19?

Questions remain following first COVID-19 vaccine results.

Developing a vaccine for covid-19.

A vaccine is not too far for COVID-19.

A vaccine is not too far for COVID-19

Developing a vaccine for covid-19

Race for a COVID-19 vaccine

Possible treatment of Covid-19 with a therapeutic vaccine.

COVID-19 disrupts vaccine delivery

Vaccine designers take first shots at COVID-19.

COVID-19 Follow up Testing

Antibody Testing for COVID-19

Testing for COVID-19 at travel clinics in Japan

The positive effects of covid-19.

Testing for COVID-19

The starting line for COVID-19 vaccine development

COVID-19 vaccines start moving into advanced trials.

Rapid COVID-19 vaccine development

Trials of BCG vaccine will test for covid-19 protection

Coping with Covid-19.

COVID 19

COVID-19 vaccines for all?

15 drugs being tested to treat COVID-19 and how they would work.

Stopping the Spread of COVID-19.

The Promise and Peril of Antibody Testing for COVID-19.

COVID-19.

Severe Covid-19.

Quarantine hospitals are essential for COVID-19 contention.

COVID-19

Covid-19

Tracking the impact of interventions against COVID-19 in absence of extensive testing.

COVID-19 testing.

COVID-19 vaccine development pipeline gears up

COVID-19 testing

COVID-19: The race for a vaccine

The COVID-19 vaccine development landscape.

After Covid-19

The day after COVID-19

Existing Drugs Might Treat COVID-19.

COVID-19 and Family Doctors

COVID-19 and pregnancy

COVID-19 and Smoking

COVID-19 and smoking

COVID-19 is milder in children possibly due to cross-immunity

Coping with Covid-19

Assessing the severity of COVID-19.

Possible method for the production of a Covid-19 vaccine.

Can existing live vaccines prevent COVID-19?

Treat COVID-19 as Though It Is Airborne: It May Be

The hunt for covid-19 drugs

Many drugs and vaccines are now being developed and tested

Understanding and reducing the fear of COVID-19

Biggest COVID-19 trial tests repurposed drugs first.

Inhaled NO and COVID-19

A hidden danger of COVID-19

Commercial influence and covid-19

Chloroquine and hydroxychloroquine as available weapons to fight COVID-19

Rapid review of COVID-19.

Research towards treating COVID-19.

The positive effects of covid-19

The many uncertainties of COVID-19

A hidden danger of COVID-19.

COVID-19 may transmit through aerosol

Several neonates reported positive for COVID-19.

Covid-19: Testing testing

Some drugs for COVID-19.

Stopping the Spread of COVID-19

Potential threats of COVID-19 on quarantined families

Potential Threats of COVID-19 On Quarantined Families

Severe Covid-19

Covid-19: Two antibody tests are "highly specific" but vary in sensitivity, evaluations find.

The impact of COVID-19

The convalescent sera option for containing COVID-19.

COVID-19 and the need of targeted inverse quarantine

Skin and COVID-19

COVID-19 has become one of the biggest health concern, along with huge economic burden. With no clear remedies to treat the disease, doctors are repurposing drugs like chloroquine and remdesivir to treat COVID-19 patients. In parallel, research institutes in collaboration with biotech companies have identified strategies to use viral proteins as vaccine candidates for COVID-19. Although this looks promising, they still need to pass the test of challenge studies in animal models. As various models for SARS-CoV-2 are under testing phase, biotech companies have bypassed animal studies and moved to Phase I clinical trials. In view of the present outbreak, this looks a justified approach, but the problem is that in the absence of animal studies, we can never predict the outcomes in humans. Since animal models are critical for vaccine development and SARS-CoV-2 has different transmission dynamics, in this review we compare different animal models of SARS-CoV-2 with humans for their pathogenic, immune response and transmission dynamics that make them ideal models for vaccine testing for COVID-19. Another issue of using animal model is the ethics of using animals for research; thus, we also discuss the pros and cons of using animals for vaccine development studies.

Caution about early intubation and mechanical ventilation in COVID-19

A Call for Pediatric COVID-19 Clinical Trials.

The many uncertainties of COVID-19.

Existing Drugs Might Treat COVID-19

COVID-19 Strikes the Vulnerable

Children are at risk from COVID-19

Children are at Risk from COVID-19

Rapid review of COVID-19

Covid-19: testing times

Combination prevention for COVID-19.

Potential neurological symptoms of COVID-19

Testing COVID-19 therapies to prevent progression of mild disease

Covid-19 and public health

COVID-19 Strikes the Vulnerable.

COVID-19 targets the right lung

Current global vaccine and drug efforts against COVID-19: Pros and cons of bypassing animal trials.


What are the longer-term complications of those who recover from COVID-19?

Coping with Covid-19.

Long term complications and rehabilitation of COVID-19 patients

With the ongoing pandemic of COVID-19 having caught the world almost unaware millions of people across the globe are presently grappling to deal with its acute effects . Our previous experience with members of the same corona virus family (SARS and MERS) which have caused two major epidemics in the past albeit of much lower magnitude , has taught us that the harmful effect of such outbreaks are not limited to acute complications alone .Long term cardiopulmonary, glucometabolic and neuropsychiatric complications have been documented following these infections .In the given circumstance it is therefore imperative to keep in mind the possible complications that may occur after the acute phase of the disease subsides and to prepare the healthcare system for such challenges.

Surviving the trauma of COVID-19

Long term complications and rehabilitation of COVID-19 patients.

Surviving the trauma of COVID-19.

Severe Covid-19.

Challenge for Rehabilitation After Hospitalization for COVID-19

Coping with Covid-19

COVID-19: The road to recovery

Neurologic aspects of covid-19: a concise review.

In addition to the conventional respiratory symptoms, patients with COVID-19 can exhibit neurological complications. In this concise review, we aim to report the most frequent neurologic manifestations related to Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV2) infection. SARS-CoV2 can reach the central nervous system from the bloodstream or olfactory pathway by binding ACE-2 receptor and the spike protein protease TMPRSS2. Headache is reported in more than 10% of affected patients and loss of smell and taste disturbance are reported in a slightly smaller percentage of cases. Acute cerebrovascular events are diagnosed in less than 3% of COVID-19 patients, but those with more severe manifestations have cerebrovascular events in more than 6% of the cases, as reported by two retrospective studies from Italy and China. Moreover, five cases of large-vessel stroke have been described in low-symptomatic COVID-19 patients aging less than 50 years suggesting that SARS-CoV2 can be associated with an increase of the risk of stroke in relatively young people. Peripheral nerve diseases can be observed after an apparently uneventful SARS-CoV2. Based on a literature review, nine patients experienced Guillain-Barrè syndrome (GBS) and 6 of these needed mechanical ventilation. Two more cases have been described with Miller-Fisher syndrome or polyneuritis cranialis, both had rapidly resolving symptoms. In conclusion, nervous system symptoms can be observed during SARS-CoV2 infection of which headache and smell and taste disturbance are the main symptoms reported. Cerebrovascular complications can complicate the course of COVID-19 in apparently low-risk patients. GBS is a life-threatening manifestation of COVID-19.

Patients who have recovered from covid-19: issuing certificates and offering voluntary registration.

Rehabilitation of COVID-19 patients.

What unusual symptoms to seek for COVID-19?

Severe Covid-19

Assessing the severity of COVID-19.

COVID-19 and Family Doctors

The neurological impact of COVID-19

Rehabilitation of COVID-19 patients

Management of Patients with Cerebellar Ataxia During the COVID-19 Pandemic: Current Concerns and Future Implications

The current worldwide severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic that causes coronavirus disease 2019 (COVID-19) has brought some medical systems to the brink of collapse. This crisis is also negatively impacting the care of patients with non-COVID-19 conditions, including those with cerebellar ataxia (CA). Older patients with CA and those with immune-mediated ataxias on immunosuppressive medication are potentially at high risk of developing serious complications of the infection, although it is also possible that immunosuppressive agents may provide a defense against cytokine storm. This has implications for even greater attention to preventing contracting the disease through physical distancing and/or isolation. The CA patient population is also at higher risk because of the neurological complexities of their underlying disorder and the comorbid medical illnesses that often accompany the genetic ataxias. As the disruption of social patterns and healthcare delivery in response to the crisis continues, interruption of rehabilitation, speech and language therapy, and face-to-face consultations threatens to have a negative impact on the course and well-being of CA patients. Mental and physical health is also potentially at greater risk because the prevailing uncertainty and anxiety may be superimposed upon cerebellum-specific neuropsychological challenges. We identify and review some of the short- and long-term consequences of this global pandemic for the community of ataxia patients and their families and for the clinical and academic neurologists/ataxiologists caring for these patients. This includes the recognition that telemedicine has emerged as a principle means of caregiver-patient contact and that neurological manifestations of COVID-19 including those specific to cerebellar neurobiology are increasingly recognized and will require close surveillance and monitoring. This COVID-19 Cerebellum Task Force consensus provides some guidance on how we may approach this uncertain time and consider preparing for the new realities we face in CA patient care once this acute crisis has passed.

Recovering from COVID-19: the key issues

Balanced diet is a major casualty in COVID-19

A SARS-CoV-2 koronavírus által okozott COVID-19-járvány neurológiai vonatkozásai./ [Neurological aspects of the COVID-19 pandemic caused by the SARS-CoV-2 coronavirus]

By the spring of 2020 the COVID-19 outbreak caused by the new SARS-CoV-2 coronavirus has become a pandemic, requiring fast and efficient reaction from societies and health care systems all over the world. Fever, coughing and dyspnea are considered the major signs of COVID-19. In addition to the involvement of the respiratory system, the infection may result in other symptoms and signs as well. Based on reports to date, neurological signs or symptoms appear in 30-50% of hospitalized COVID-19 patients, with higher incidence in those with more severe disease. Classical acute neurological syndromes have also been reported to associate with COVID-19. A drop in the volume of services for other acute diseases has been described in countries with healthcare systems focusing on COVID-19. During the COVID-19 epidemic it is also important to provide appropriate continuous care for those with chronic neurological disorders. It will be the task of the future to estimate the collateral damage caused by the COVID-19 epidemic on the outcome of other neurological disorders, and to screen for the possible late neurological complications of the SARS-CoV-2 coronavirus infection.

COVID 19

The positive effects of covid-19.

Treat COVID-19 as Though It Is Airborne: It May Be

The short-term impact of COVID-19 pandemic on spine surgeons: a cross-sectional global study

PURPOSE: The outbreak of COVID-19 erupted in December 2019 in Wuhan, China. In a few weeks, it progressed rapidly into a global pandemic which resulted in an overwhelming burden on health care systems, medical resources and staff. Spine surgeons as health care providers are no exception. In this study, we try to highlight the impact of the crisis on spine surgeons in terms of knowledge, attitude, practice and socioeconomic burden. METHODS: This was global, multicentric cross-sectional study on 781 spine surgeons that utilized an Internet-based validated questionnaire to evaluate knowledge about COVID-19, availability of personal protective equipment, future perceptions, effect of this crisis on practice and psychological distress. Univariate and multivariate ordinal logistic regression analyses were used to evaluate the predictors for the degree of COVID-19 effect on practice. RESULTS: Overall, 20.2%, 52% and 27.8% of the participants were affected minimally, intermediately and hugely by COVID-19, respectively. Older ages (β = 0.33, 95% CI 0.11–0.56), orthopedic spine surgeons (β = 0.30, 95% CI 0.01–0.61) and those who work in the private sector (β = 0.05, 95% CI 0.19–0.61) were the most affected by COVID-19. Those who work in university hospitals (β = − 0.36, 95% CI 0.00 to − 0.71) were affected the least. The availability of N95 masks (47%) and disposable eye protectors or face shields (39.4%) was significantly associated with lower psychological stress (p = 0.01). Only 6.9%, 3.7% and 5% had mild, moderate and severe mental distress, respectively. CONCLUSION: While it is important to recognize the short-term impact of COVID-19 pandemic on the practice of spine surgery, predicting where we will be standing in 6–12 months remains difficult and unknown. The COVID-19 crisis will probably have an unexpected long-term impact on lives and economies.

COVID-19 and Smoking

COVID-19 and smoking

Life, Interrupted.

The effects of COVID-19 are still unfolding.

Is reinfection possible after recovery from COVID-19?

[Neurological aspects of the COVID-19 pandemic caused by the SARS-CoV-2 coronavirus].

COVID-19's Crushing Effects on Medical Practices, Some of Which Might Not Survive.

Vet nurse consultations could help financial recovery from Covid-19.

The day after COVID-19

Potential neuroinvasive pathways of SARS-CoV-2: Deciphering the spectrum of neurological deficit seen in coronavirus disease-2019 (COVID-19)

Coronavirus disease-2019 (COVID-19) was declared a global pandemic on 11 March 2020. Scientists and clinicians must acknowledge that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has the potential to attack the human body in multiple ways simultaneously and exploit any weaknesses of its host. A multipronged attack could potentially explain the severity and extensive variety of signs and symptoms observed in patients with COVID-19. Understanding the diverse tactics of this virus to infect the human body is both critical and incredibly complex. Although patients diagnosed with COVID-19 have primarily presented with pulmonary involvement, viral invasion, and injury to diverse end organs is also prevalent and well documented in these patients, but has been largely unheeded. Human organs known for angiotensin-converting enzyme 2 (ACE2) expression including the gastrointestinal tract, kidneys, heart, adrenals, brain, and testicles are examples of extra pulmonary tissues with confirmed invasion by SARS-CoV-2. Initial multiple organ involvement may present with vague signs and symptoms to alert health care professionals early in the course of COVID-19. Another example of an ongoing, yet neglected element of the syndromic features of COVID-19, are the reported findings of loss of smell, altered taste, ataxia, headache, dizziness, and loss of consciousness, which suggest a potential for neural involvement. In this review, we further deliberate on the neuroinvasive potential of SARS-CoV-2, the neurologic symptomology observed in COVID-19, the host-virus interaction, possible routes of SARS-CoV-2 to invade the central nervous system, other neurologic considerations for patients with COVID-19, and a collective call to action.

Neurologic aspects of covid-19: a concise review

In addition to the conventional respiratory symptoms, patients with COVID-19 can exhibit neurological complications In this concise review, we aim to report the most frequent neurologic manifestations related to Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV2) infection SARS-CoV2 can reach the central nervous system from the bloodstream or olfactory pathway by binding ACE-2 receptor and the spike protein protease TMPRSS2 Headache is reported in more than 10% of affected patients and loss of smell and taste disturbance are reported in a slightly smaller percentage of cases Acute cerebrovascular events are diagnosed in less than 3% of COVID-19 patients, but those with more severe manifestations have cerebrovascular events in more than 6% of the cases, as reported by two retrospective studies from Italy and China Moreover, five cases of large-vessel stroke have been described in low-symptomatic COVID-19 patients aging less than 50 years suggesting that SARS-CoV2 can be associated with an increase of the risk of stroke in relatively young people Peripheral nerve diseases can be observed after an apparently uneventful SARS-CoV2 Based on a literature review, nine patients experienced Guillain-Barre syndrome (GBS) and 6 of these needed mechanical ventilation Two more cases have been described with Miller-Fisher syndrome or polyneuritis cranialis, both had rapidly resolving symptoms In conclusion, nervous system symptoms can be observed during SARS-CoV2 infection of which headache and smell and taste disturbance are the main symptoms reported Cerebrovascular complications can complicate the course of COVID-19 in apparently low-risk patients GBS is a life-threatening manifestation of COVID-19

COVID-19 Cardiac Injury: Implications for Long-Term Surveillance and Outcomes in Survivors

Up to 20-30% of patients hospitalized with coronavirus disease (COVID-19) have evidence of myocardial involvement. Acute cardiac injury in patients hospitalized with COVID-19 is associated with higher morbidity and mortality. There are no data on how acute treatment for COVID-19 may affect convalescent phase or long-term cardiac recovery and function. Myocarditis from other viral pathogens can evolve into overt or subclinical myocardial dysfunction, and sudden death has been described in the convalescent phase of viral myocarditis. This raises concerns for patients recovering from COVID-19. Some patients will have subclinical and possibly overt cardiovascular abnormalities. Patients with ostensibly recovered cardiac function may still be at risk for cardiomyopathy and cardiac arrhythmias. Screening for residual cardiac involvement in the convalescent phase for patients recovered from COVID-19 associated cardiac injury is needed. The type of testing, and therapies for post COVID-19 myocardial dysfunction will need to be determined. Therefore, now is the time to plan for appropriate registries and clinical trials to properly assess these issues and prepare for long-term sequelae of "post-COVID-19 Cardiac Syndrome".

Restricted family visiting in intensive care during COVID-19

What if the worst consequences of COVID-19 concerned non-COVID patients?

We highlight in this short article the side-effects of COVID-19 pandemic on the management of non-COVID patients, with potential detrimental and irreversible complications. We thus propose adjusted strategies to deal with both COVID and non-COVID patients.

Importance: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in December 2019, causing human coronavirus disease 2019 (COVID-19), which has now spread into a worldwide pandemic. The pulmonary manifestations of COVID-19 have been well described in the literature. Two similar human coronaviruses that cause Middle East respiratory syndrome (MERS-CoV) and severe acute respiratory syndrome (SARS-CoV-1) are known to cause disease in the central and peripheral nervous systems. Emerging evidence suggests COVID-19 has neurologic consequences as well. Observations: This review serves to summarize available information regarding coronaviruses in the nervous system, identify the potential tissue targets and routes of entry of SARS-CoV-2 into the central nervous system, and describe the range of clinical neurological complications that have been reported thus far in COVID-19 and their potential pathogenesis. Viral neuroinvasion may be achieved by several routes, including transsynaptic transfer across infected neurons, entry via the olfactory nerve, infection of vascular endothelium, or leukocyte migration across the blood-brain barrier. The most common neurologic complaints in COVID-19 are anosmia, ageusia, and headache, but other diseases, such as stroke, impairment of consciousness, seizure, and encephalopathy, have also been reported. Conclusions and Relevance: Recognition and understanding of the range of neurological disorders associated with COVID-19 may lead to improved clinical outcomes and better treatment algorithms. Further neuropathological studies will be crucial to understanding the pathogenesis of the disease in the central nervous system, and longitudinal neurologic and cognitive assessment of individuals after recovery from COVID-19 will be crucial to understand the natural history of COVID-19 in the central nervous system and monitor for any long-term neurologic sequelae.

Neuropathogenesis and Neurologic Manifestations of the Coronaviruses in the Age of Coronavirus Disease 2019: A Review.

Importance Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in December 2019, causing human coronavirus disease 2019 (COVID-19), which has now spread into a worldwide pandemic. The pulmonary manifestations of COVID-19 have been well described in the literature. Two similar human coronaviruses that cause Middle East respiratory syndrome (MERS-CoV) and severe acute respiratory syndrome (SARS-CoV-1) are known to cause disease in the central and peripheral nervous systems. Emerging evidence suggests COVID-19 has neurologic consequences as well. Observations This review serves to summarize available information regarding coronaviruses in the nervous system, identify the potential tissue targets and routes of entry of SARS-CoV-2 into the central nervous system, and describe the range of clinical neurological complications that have been reported thus far in COVID-19 and their potential pathogenesis. Viral neuroinvasion may be achieved by several routes, including transsynaptic transfer across infected neurons, entry via the olfactory nerve, infection of vascular endothelium, or leukocyte migration across the blood-brain barrier. The most common neurologic complaints in COVID-19 are anosmia, ageusia, and headache, but other diseases, such as stroke, impairment of consciousness, seizure, and encephalopathy, have also been reported. Conclusions and Relevance Recognition and understanding of the range of neurological disorders associated with COVID-19 may lead to improved clinical outcomes and better treatment algorithms. Further neuropathological studies will be crucial to understanding the pathogenesis of the disease in the central nervous system, and longitudinal neurologic and cognitive assessment of individuals after recovery from COVID-19 will be crucial to understand the natural history of COVID-19 in the central nervous system and monitor for any long-term neurologic sequelae.

Considerations for Postacute Rehabilitation for Survivors of COVID-19

Coronavirus disease (COVID-19), the infection caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was first reported on December 31, 2019. Because it has only been studied for just over three months, our understanding of this disease is still incomplete, particularly regarding its sequelae and long-term outcomes. Moreover, very little has been written about the rehabilitation needs of patients with COVID-19 after discharge from acute care. The objective of this report is to answer the question "What rehabilitation services do survivors of COVID-19 require?" The question was asked within the context of a subacute hospital delivering geriatric inpatient and outpatient rehabilitation services. Three areas relevant to rehabilitation after COVID-19 were identified. First, details of how patients may present have been summarized, including comorbidities, complications from an intensive care unit stay with or without intubation, and the effects of the virus on multiple body systems, including those pertaining to cardiac, neurological, cognitive, and mental health. Second, I have suggested procedures regarding the design of inpatient rehabilitation units for COVID-19 survivors, staffing issues, and considerations for outpatient rehabilitation. Third, guidelines for rehabilitation (physiotherapy, occupational therapy, speech-language pathology) following COVID-19 have been proposed with respect to recovery of the respiratory system as well as recovery of mobility and function. A thorough assessment and an individualized, progressive treatment plan which focuses on function, disability, and return to participation in society will help each patient to maximize their function and quality of life. Careful consideration of the rehabilitation environment will ensure that all patients recover as completely as possible.

Have the symptoms of patients with COVID-19 changed over time during hospitalization?

Myocarditis detected after COVID-19 recovery.

Frailty in the face of COVID-19

Frailty in the Face of COVID-19

INTRODUCTION: Sudden olfactory dysfunction is a new symptom related to COVID-19, with little data on its duration or recovery rate. OBJECTIVE: To characterize patients with sudden olfactory dysfunction during the COVID-19 pandemic, especially their recovery data. METHODS: An online survey was conducted by the Brazilian Society of Otorhinolaryngology and Cervico-Facial Surgery, and Brazilian Academy of Rhinology, including doctors who assessed sudden olfactory dysfunction patients starting after February 1st, 2020. Participants were posteriorly asked by e-mail to verify data on the recovery of sudden olfactory loss and test for COVID-19 at the end of the data collection period. RESULTS: 253 sudden olfactory dysfunction patients were included, of which 59.1% were females with median age of 36 years, with a median follow-up period of 31 days. 183 patients (72.3%) had been tested for COVID-19, and of those 145 (79.2%) tested positive. Patients that tested positive for COVID-19 more frequently showed non-specific inflammatory symptoms (89.7% vs. 73.7%; p=0.02), a lower rate of total recovery of sudden olfactory dysfunction (52.6% vs. 70.3%; p=0.05) and a longer duration to achieve total recovery (15 days vs. 10 days; p=0.0006) than the ones who tested negative for COVID-19. Considering only positive-COVID-19 patients, individuals with sudden hyposmia completely recovered more often than the ones with sudden anosmia (68.4% vs. 50.0%; p=0.04). CONCLUSION: Positive-COVID-19 patients with sudden olfactory dysfunction showed lower total recovery rate and longer duration than negative-COVID-19 patients. Additionally, total recovery was seen more frequently in positive-COVID-19 patients with sudden hyposmia than the ones with sudden anosmia.

A hidden danger of COVID-19.

The impact of COVID-19

Commercial influence and covid-19

Crisis Leadership During and Following COVID-19.

Hepatic consequences of COVID-19 infection. Lapping or biting?

The outbreak of coronavirus disease 2019 (COVID-19) starting last December in China placed emphasis on liver involvement during infection. This review discusses the underlying mechanisms linking COVID-19 to liver dysfunction, according to recent available information, while waiting further studies. The manifestations of liver damage are usually mild (moderately elevated serum aspartate aminotransferase activities), and generally asymptomatic. Few patients can still develop severe liver problems, and therapeutic options can be limited. Liver dysfunction may affect about one-third of the patients, with prevalence greater in men than women, and in elderly. Mechanisms of damage are complex and include direct cholangiocyte damage and other coexisting conditions such as the use of antiviral drugs, systemic inflammatory response, respiratory distress syndrome-induced hypoxia, sepsis, and multiple organ dysfunction. During new COVID-19 infections, liver injury may be observed. If liver involvement appears during COVID-19 infection, however, attention is required. This is particularly true if patients are older or have a pre-existing history of liver diseases. During COVID-19 infection, the onset of liver damage impairs the prognosis, and hospital stay is longer.

Coronavirus disease (COVID-19), the infection caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was first reported on December 31, 2019. Because it has only been studied for just over three months, our understanding of this disease is still incomplete, particularly regarding its sequelae and long-term outcomes. Moreover, very little has been written about the rehabilitation needs of patients with COVID-19 after discharge from acute care. The objective of this report is to answer the question “What rehabilitation services do survivors of COVID-19 require?” The question was asked within the context of a subacute hospital delivering geriatric inpatient and outpatient rehabilitation services. Three areas relevant to rehabilitation after COVID-19 were identified. First, details of how patients may present have been summarized, including comorbidities, complications from an intensive care unit stay with or without intubation, and the effects of the virus on multiple body systems, including those pertaining to cardiac, neurological, cognitive, and mental health. Second, I have suggested procedures regarding the design of inpatient rehabilitation units for COVID-19 survivors, staffing issues, and considerations for outpatient rehabilitation. Third, guidelines for rehabilitation (physiotherapy, occupational therapy, speech-language pathology) following COVID-19 have been proposed with respect to recovery of the respiratory system as well as recovery of mobility and function. A thorough assessment and an individualized, progressive treatment plan which focuses on function, disability, and return to participation in society will help each patient to maximize their function and quality of life. Careful consideration of the rehabilitation environment will ensure that all patients recover as completely as possible.

Myocarditis detected after COVID-19 recovery

The impact of COVID-19.

Covid-19 fatality is likely overestimated.

Covid-19: Surviving the long road ahead

Covid-19 fatality is likely overestimated

Proposed protocol to keep COVID-19 out of hospitals.

Covid-19: The inside story of the RECOVERY trial.

Covid-19 cases increase steeply in US south and west

A hidden danger of COVID-19

Neuropathology of COVID-19: a spectrum of vascular and acute disseminated encephalomyelitis (ADEM)-like pathology

We report the neuropathological findings of a patient who died from complications of COVID-19. The decedent was initially hospitalized for surgical management of underlying coronary artery disease. He developed post-operative complications and was evaluated with chest imaging studies. The chest computed tomography (CT) imaging results were indicative of COVID-19 and he was subsequently tested for SARS-CoV-2, which was positive. His condition worsened and he died after more than 2 weeks of hospitalization and aggressive treatment. The autopsy revealed a range of neuropathological lesions, with features resembling both vascular and demyelinating etiologies. Hemorrhagic white matter lesions were present throughout the cerebral hemispheres with surrounding axonal injury and macrophages. The subcortical white matter had scattered clusters of macrophages, a range of associated axonal injury, and a perivascular acute disseminated encephalomyelitis (ADEM)-like appearance. Additional white matter lesions included focal microscopic areas of necrosis with central loss of white matter and marked axonal injury. Rare neocortical organizing microscopic infarcts were also identified. Imaging and clinical reports have demonstrated central nervous system complications in patients' with COVID-19, but there is a gap in our understanding of the neuropathology. The lesions described in this case provide insight into the potential parainfectious processes affecting COVID-19 patients, which may direct clinical management and ongoing research into the disease. The clinical course of the patient also illustrates that during prolonged hospitalizations neurological complications of COVID may develop, which are particularly difficult to evaluate and appreciate in the critically ill.

Consideration of prevention and management of long-term consequences of post-acute respiratory distress syndrome in patients with COVID-19.

This manuscript provides support for physical therapists to focus on the long-term, as well as the short-term, consequences of acute respiratory distress syndrome (ARDS) associated with COVID-19. Since late November 2019, COVID-19 has become a global health pandemic and threat. Although most people have no or mild symptoms, COVID-19 spreads aggressively and can lead to ARDS rapidly in a proportion of individuals. The evidence supports that gas exchange and countering the negative effects of bed rest and immobility are priorities in severely affected patients admitted to the intensive care unit (ICU). However, in recent years, research has focused on poor long-term functional outcomes in patients with ARDS, often associated with ICU-acquired weakness, deconditioning, and myopathies and neuropathies. In addition to physical therapists providing respiratory support in the ICU, the literature unequivocally supports the view that early intervention for ICU management of patients with ARDS secondary to COVID-19 needs to focus on reducing contributors to impaired long-term function, with direct attention paid to preventing or managing ICU-acquired weakness, deconditioning, and myopathies and neuropathies, in conjunction with respiratory care.

PURPOSE: The outbreak of COVID-19 erupted in December 2019 in Wuhan, China. In a few weeks, it progressed rapidly into a global pandemic which resulted in an overwhelming burden on health care systems, medical resources and staff. Spine surgeons as health care providers are no exception. In this study, we try to highlight the impact of the crisis on spine surgeons in terms of knowledge, attitude, practice and socioeconomic burden. METHODS: This was global, multicentric cross-sectional study on 781 spine surgeons that utilized an Internet-based validated questionnaire to evaluate knowledge about COVID-19, availability of personal protective equipment, future perceptions, effect of this crisis on practice and psychological distress. Univariate and multivariate ordinal logistic regression analyses were used to evaluate the predictors for the degree of COVID-19 effect on practice. RESULTS: Overall, 20.2%, 52% and 27.8% of the participants were affected minimally, intermediately and hugely by COVID-19, respectively. Older ages (ß = 0.33, 95% CI 0.11-0.56), orthopedic spine surgeons (ß = 0.30, 95% CI 0.01-0.61) and those who work in the private sector (ß = 0.05, 95% CI 0.19-0.61) were the most affected by COVID-19. Those who work in university hospitals (ß = - 0.36, 95% CI 0.00 to - 0.71) were affected the least. The availability of N95 masks (47%) and disposable eye protectors or face shields (39.4%) was significantly associated with lower psychological stress (p = 0.01). Only 6.9%, 3.7% and 5% had mild, moderate and severe mental distress, respectively. CONCLUSION: While it is important to recognize the short-term impact of COVID-19 pandemic on the practice of spine surgery, predicting where we will be standing in 6-12 months remains difficult and unknown. The COVID-19 crisis will probably have an unexpected long-term impact on lives and economies.

Distinguishing between direct and indirect consequences of covid-19.

The Challenges Wrought by COVID-19.

Covid-19 cases increase steeply in US south and west.

Covid-19 and Post Intensive Care Syndrome: A Call for Action.

Although we are currently overwhelmed by the astonishing speed of infection of the Covid-19 pandemic, and the daily onslaught of new, and ever-worsening predictions, it is vital that we begin to prepare for the aftershocks of the pandemic. Prominent among this will be the cohort of post-intensive case survivors who have been mechanically ventilated and will like experience short- and medium-term consequences of the experience. The notion that patients surviving intensive care and mechanical ventilation for several weeks can be discharged home without further medical attention is a dangerous illusion. Post Intensive Care Syndrome and other severe conditions will require not only adequate screening but early rehabilitation and other interventions. Action must be taken now to prepare for this inevitable shock to the healthcare system.

Even with COVID-19 neurosurgeons should still perform necessary urgent/emergent neurosurgery to avoid major permanent neurological deficits

A systematic review of convalescent plasma treatment for COVID19

Background. Transfusion of convalescent immune plasma (CP) is commonly used in epidemics. Several articles now describe clinical report data of CP for treatment of SARS-CoV-2-induced COVID-19 disease. Methods. A systematic literature review was conducted using the NCBI curated COVID-19 related open-resource literature database LitCovid to identify studies using CP as treatment for COVID-19 patients. We retrieved and curated all COVID-19 related patient and treatment characteristics from previously reported studies. A Poisson model was developed to evaluate the association between age of the patients, older age being the most common risk factor for COVID-19 mortality, and recovery time since CP treatment using data extracted from the literature. Results. From 18,293 identified COVID-19 related articles, we included ten studies reporting results of CP treatment for COVID-19 from a total of 61 patients. Decreased symptoms of severe COVID-19 and clearance of SARS-CoV-2 RNA were the most direct observations. We found that patients over the age of sixty who received CP treatment for COVID-19 had a significantly prolonged recovery estimated by viral clearance (from 10 to 29 days since first dose of CP) compared to younger patients, who recovered from the infection in less than a week after receiving CP treatment. Conclusions. Limited published results on plasma transfusion treatment for COVID-19 disease with concomitant treatments suggest that CP therapy for COVID-19 is well tolerated and effective. First randomized clinical trial results, however, reveal no improvements in recovery time for elderly patients with severe COVID-19 between standard treatment alone and added with convalescent plasma. Accordingly, we argue that older patients may need a significantly longer time for recovery. Further randomized clinical trial data for COVID-19 with rigorous ethical standards is urgently needed.

COVID-19 and emergency surgery

Typically Atypical: COVID-19 Presenting as a Fall in an Older Adult

Up to 20-30% of patients hospitalized with coronavirus disease (COVID-19) have evidence of myocardial involvement. Acute cardiac injury in patients hospitalized with COVID-19 is associated with higher morbidity and mortality. There are no data on how acute treatment for COVID-19 may affect convalescent phase or long-term cardiac recovery and function. Myocarditis from other viral pathogens can evolve into overt or subclinical myocardial dysfunction, and sudden death has been described in the convalescent phase of viral myocarditis. This raises concerns for patients recovering from COVID-19. Some patients will have subclinical and possibly overt cardiovascular abnormalities. Patients with ostensibly recovered cardiac function may still be at risk for cardiomyopathy and cardiac arrhythmias. Screening for residual cardiac involvement in the convalescent phase for patients recovered from COVID-19 associated cardiac injury is needed. The type of testing, and therapies for post COVID-19 myocardial dysfunction will need to be determined. Therefore, now is the time to plan for appropriate registries and clinical trials to properly assess these issues and prepare for long-term sequelae of “post-COVID-19 Cardiac Syndrome”

Immediate and long-term consequences of COVID-19 infections for the development of neurological disease

Increasing evidence suggests that infection with Sars-CoV-2 causes neurological deficits in a substantial proportion of affected patients. While these symptoms arise acutely during the course of infection, less is known about the possible long-term consequences for the brain. Severely affected COVID-19 cases experience high levels of proinflammatory cytokines and acute respiratory dysfunction and often require assisted ventilation. All these factors have been suggested to cause cognitive decline. Pathogenetically, this may result from direct negative effects of the immune reaction, acceleration or aggravation of pre-existing cognitive deficits, or de novo induction of a neurodegenerative disease. This article summarizes the current understanding of neurological symptoms of COVID-19 and hypothesizes that affected patients may be at higher risk of developing cognitive decline after overcoming the primary COVID-19 infection. A structured prospective evaluation should analyze the likelihood, time course, and severity of cognitive impairment following the COVID-19 pandemic.

Neurologic manifestations in hospitalized patients with COVID-19: The ALBACOVID registry.

OBJECTIVE The coronavirus disease 2019 (COVID-19) has spread worldwide since December 2019. Neurological symptoms have been reported as part of the clinical spectrum of the disease. We aim to determine whether neurological manifestations are common in hospitalized COVID-19 patients and to describe their main characteristics. METHODS We systematically review all patients diagnosed with COVID-19 admitted to hospital in a Spanish population during March 2020. Demographic characteristics, systemic and neurological clinical manifestations, and complementary tests were analyzed. RESULTS Of 841 patients hospitalized with COVID-19 (mean age 66.4 years, 56.2% men) 57.4% developed some form of neurological symptom. Nonspecific symptoms such as myalgias (17.2%), headache (14.1%), and dizziness (6.1%) were present mostly in the early stages of infection. Anosmia (4.9%) and dysgeusia (6.2%) tended to occur early (60% as the first clinical manifestation) and were more frequent in less severe cases. Disorders of consciousness occurred commonly (19.6%), mostly in older patients and in severe and advanced COVID-19 stages. Myopathy (3.1%), dysautonomia (2.5%), cerebrovascular diseases (1.7%), seizures (0.7%), movement disorders (0.7%), encephalitis (n=1), Guillain-Barré syndrome (n=1), and optic neuritis (n=1) were also reported, but less frequent. Neurological complications were the main cause of death in 4.1% of all deceased study subjects. CONCLUSIONS Neurological manifestations are common in hospitalized COVID-19 patients. In our series, more than half of patients presented some form of neurological symptom. Clinicians need to maintain close neurological surveillance for prompt recognition of these complications. The investigation of the mechanisms and emerging consequences of SARS-CoV-2 neurological involvement require further studies.

Commercial influence and covid-19.

La réhabilitation: indispensable pour les survivants d'un COVID-19 sévère./ [Rehabilitation is crucial for severe COVID-19 survivors]

COVID-19 survivors can have serious complications from this viral infection, particularly respiratory and cardiovascular with severe asthenia and fatigue. Several studies have already demonstrated the benefit of early rehabilitation after the acute phase, especially in patients who have been in intensive care. The authors present a rehabilitation program including interdisciplinary care with simple and reproducible clinical criteria.

We report the neuropathological findings of a patient who died from complications of COVID-19. The decedent was initially hospitalized for surgical management of underlying coronary artery disease. He developed post-operative complications and was evaluated with chest imaging studies. The chest computed tomography (CT) imaging results were indicative of COVID-19 and he was subsequently tested for SARS-CoV-2, which was positive. His condition worsened and he died after more than 2 weeks of hospitalization and aggressive treatment. The autopsy revealed a range of neuropathological lesions, with features resembling both vascular and demyelinating etiologies. Hemorrhagic white matter lesions were present throughout the cerebral hemispheres with surrounding axonal injury and macrophages. The subcortical white matter had scattered clusters of macrophages, a range of associated axonal injury, and a perivascular acute disseminated encephalomyelitis (ADEM)-like appearance. Additional white matter lesions included focal microscopic areas of necrosis with central loss of white matter and marked axonal injury. Rare neocortical organizing microscopic infarcts were also identified. Imaging and clinical reports have demonstrated central nervous system complications in patients’ with COVID-19, but there is a gap in our understanding of the neuropathology. The lesions described in this case provide insight into the potential parainfectious processes affecting COVID-19 patients, which may direct clinical management and ongoing research into the disease. The clinical course of the patient also illustrates that during prolonged hospitalizations neurological complications of COVID may develop, which are particularly difficult to evaluate and appreciate in the critically ill.

Timing of surgery after recovery from COVID-19 infection.

Cardiovascular Collateral Damages at the Time of COVID-19

Cardiovascular collateral damages at the time of COVID-19

Clinical features and outcomes of inpatients with neurological disease and COVID-19

Objective: To report the clinical and laboratory characteristics, as well as treatment and clinical outcomes of patients admitted for neurological diseases with COVID-19 in a Neuro-COVID unit compared to patients without COVID-19. Methods: In this retrospective, single centre cohort study, we included all adult inpatients with confirmed COVID-19, who had been discharged or died by April 5, 2020. Demographic, clinical, treatment, and laboratory data were extracted from medical records. Results: 173 patients were included in this study, of whom 56 resulted positive for COVID-19 and 117 resulted negative for COVID-19. Patients with COVID-19 were older, had a different distribution regarding admission diagnoses, including cerebrovascular disorders, and had a higher quick Sequential Organ Failure Assessment (qSOFA) score on admission (all p<0.05). In-hospital mortality rates and incident delirium were significantly higher in the COVID-19 group (all p<0.05). COVID-19 and non-COVID patients with stroke had similar baseline characteristics but patients with COVID-19 had higher modified Rankin scale scores at discharge (p<0.0001), with a significantly lower number of patients with a good outcome (p<0.0001). Multivariable regressions showed increasing odds of in-hospital death associated with higher qSOFA scores (odds ratio 4.47, 95% CI 1.21-16.5; p=0.025), lower platelet count (0.98, 0.97-0.99; p=0.005) and higher lactate dehydrogenase (1.01, 1.00-1.03; p=0.009) on admission. Conclusions: COVID-19 patients admitted with neurological disease, including stroke, have a significantly higher in-hospital mortality, incident delirium and higher disability than patients without COVID-19.

Caution when linking COVID-19 to mental health consequences

Post-COVID-19 global health strategies: the need for an interdisciplinary approach

For survivors of severe COVID-19 disease, having defeated the virus is just the beginning of an uncharted recovery path. What follows after the acute phase of SARS-CoV-2 infection depends on the extension and severity of viral attacks in different cell types and organs. Despite the ridiculously large number of papers that have flooded scientific journals and preprint-hosting websites, a clear clinical picture of COVID-19 aftermath is vague at best. Without larger prospective observational studies that are only now being started, clinicians can retrieve information just from case reports and or small studies. This is the time to understand how COVID-19 goes forward and what consequences survivors may expect to experience. To this aim, a multidisciplinary post-acute care service involving several specialists has been established at the Fondazione Policlinico Universitario A. Gemelli IRCSS (Rome, Italy). Although COVID-19 is an infectious disease primarily affecting the lung, its multi-organ involvement requires an interdisciplinary approach encompassing virtually all branches of internal medicine and geriatrics. In particular, during the post-acute phase, the geriatrician may serve as the case manager of a multidisciplinary team. The aim of this article is to describe the importance of the interdisciplinary approach––coordinated by geriatrician––to cope the potential post-acute care needs of recovered COVID-19 patients.

Assessment of patients who tested positive for COVID-19 after recovery

COVID-19 Complicated by Acute Pulmonary Embolism

Neurobiology of COVID-19

Anosmia, stroke, paralysis, cranial nerve deficits, encephalopathy, delirium, meningitis, and seizures are some of the neurological complications in patients with coronavirus disease-19 (COVID-19) which is caused by acute respiratory syndrome coronavirus 2 (SARS-Cov2). There remains a challenge to determine the extent to which neurological abnormalities in COVID-19 are caused by SARS-Cov2 itself, the exaggerated cytokine response it triggers, and/or the resulting hypercoagulapathy and formation of blood clots in blood vessels throughout the body and the brain. In this article, we review the reports that address neurological manifestations in patients with COVID-19 who may present with acute neurological symptoms (e.g., stroke), even without typical respiratory symptoms such as fever, cough, or shortness of breath. Next, we discuss the different neurobiological processes and mechanisms that may underlie the link between SARS-Cov2 and COVID-19 in the brain, cranial nerves, peripheral nerves, and muscles. Finally, we propose a basic "NeuroCovid" classification scheme that integrates these concepts and highlights some of the short-term challenges for the practice of neurology today and the long-term sequalae of COVID-19 such as depression, OCD, insomnia, cognitive decline, accelerated aging, Parkinson's disease, or Alzheimer's disease in the future. In doing so, we intend to provide a basis from which to build on future hypotheses and investigations regarding SARS-Cov2 and the nervous system.

Clinical characteristics and durations of hospitalized patients with COVID-19 in Beijing: a retrospective cohort study

Background: COVID-19 is still becoming an increasing global threat to public health. More detailed and specific characteristics of COVID-19 are needed to better understand this disease. Additionally, durations of COVID-19, e.g., the average time from exposure to recovery, which is of great value in understanding this disease, has not been reported so far. Aims: To give the information on clinical characteristics and different durations of COVID-19 and to identify the potential risk factors for longer hospitalization duration. Methods: In this retrospective study, we enrolled 77 patients (mean age: 52 years; 44.2% males) with laboratory-confirmed COVID-19 admitted to Beijing YouAn Hospital during 21st Jan and 8th February 2020. Epidemiological, clinical and radiological data on admission were collected; complications and outcomes were followed up until 29th February 2020. The study endpoint was the discharge within two weeks. Cox proportional-hazards regression was performed to identify risk factors for longer hospitalization duration. Results: Of 77 patients, there are 34 (44.2%) males, 24 (31.2%) with comorbidities, 22 (28.6%) lymphopenia, 20 (26.0%) categorized as severe patients, and 28 (36.4%) occurred complications. By the end of follow-up, 64 (83.1%) patients were discharged home after being tested negative for SARS-CoV-2 infections, 8 remained in hospital and 5 died. 36 (46.8%) patients were discharged within 14 days and thus reached the study endpoint, including 34 (59.6%) of 57 non-severe patients and 2 (10%) of 20 severe patients. The overall cumulative probability of the endpoint was 48.3%. Hospital length of stay and duration of exposure to discharge for 64 discharged patients were 13 (10-16.5) and 23 (18-24.5) days, respectively. Multivariable stepwise Cox regression model showed bilateral pneumonia on CT scan, shorter time from the illness onset to admission, the severity of disease and lymphopenia were independently associated with longer hospitalized duration. Conclusions: COVID-19 has significantly shorter duration of disease and hospital length of stay than SARS. Bilateral pneumonia on CT scan, shorter period of illness onset to admission, lymphopenia, the severity of disease are the risk factors for longer hospitalization duration of COVID-19.

Incomplete and late recovery of sudden olfactory dysfunction in COVID-19()

INTRODUCTION: Sudden olfactory dysfunction is a new symptom related to COVID-19, with little data on its duration or recovery rate. OBJECTIVE: To characterize patients with sudden olfactory disfunction during the COVID-19 pandemic, especially their recovery data. METHODS: An online survey was conducted by the Brazilian Society of Otorhinolaryngology and Cervico-Facial Surgery, and Brazilian Academy of Rhinology, including doctors who assessed sudden olfactory dysfunction patients starting after February 1(st), 2020. RESULTS: 253 sudden olfactory dysfunction patients were included, of which 59.1% were females with median age of 36 years, with a median follow-up period of 31 days. 183 patients (72.3%) had been tested for COVID-19, and of those 145 (79.2%) tested positive. Patients that tested positive for COVID-19 more frequently showed non-specific inflammatory symptoms (89.7% vs. 73.7%; p = 0.02), a lower rate of total recovery of sudden olfactory dysfunction (52.6% vs. 70.3%; p = 0.05) and a longer duration to achieve total recovery (15 days vs. 10 days; p = 0.0006) than the ones who tested negative for COVID-19. Considering only positive-COVID-19 patients, individuals with sudden hyposmia completely recovered more often than the ones with sudden anosmia (68.4% vs. 50.0%; p = 0.04). CONCLUSION: Positive-COVID-19 patients with sudden olfactory dysfunction showed lower total recovery rate and longer duration than negative-COVID-19 patients. Additionally, total recovery was seen more frequently in positive-COVID-19 patients with sudden hyposmia than the ones with sudden anosmia.

Critical medication shortages further dwindling hospital resources during COVID-19

Clinical Features of COVID-19 in a Young Man with Massive Cerebral Hemorrhage—Case Report

COVID-19 is currently a pandemic in the world, can invade multiple systems, and has a high morbidity and mortality. So far, no cases of acute cerebrovascular disease have been reported. This article reports the clinical features of a COVID-19 patient whose first symptom was cerebral hemorrhage. More importantly, after the craniotomy, the patient had high fever and it was difficult to retreat. After cerebrospinal fluid testing, it was determined that an intracranial infection had occurred. After anti-infection and plasma infusion of the recovered person, the patient’s symptoms gradually improved. This case suggests that COVID-19 may infringe on cerebral blood vessels and cause cerebral hemorrhage. Transfusion of plasma from rehabilitation patients is effective for critically ill patients.

COVID-19 Does Not Lead to a "Typical" Acute Respiratory Distress Syndrome

Covid-19: The inside story of the RECOVERY trial

Personal Risk and Societal Obligation Amidst COVID-19

Existing Drugs Might Treat COVID-19.


What new public datasets are available related to COVID-19?

A systematic approach is needed to contain COVID-19 globally

COVID 19

Sample sizes in COVID-19-related research.

Public Opinions towards COVID-19 in California and New York on Twitter

Background: With the pandemic of COVID-19 and the release of related policies, discussions about the COVID-19 are widespread online. Social media becomes a reliable source for understanding public opinions toward this virus outbreak. Objective: This study aims to explore public opinions toward COVID-19 on social media by comparing the differences in sentiment changes and discussed topics between California and New York in the United States. Methods: A dataset with COVID-19-related Twitter posts was collected from March 5, 2020 to April 2, 2020 using Twitter streaming API. After removing any posts unrelated to COVID-19, as well as posts that contain promotion and commercial information, two individual datasets were created based on the geolocation tags with tweets, one containing tweets from California state and the other from New York state. Sentiment analysis was conducted to obtain the sentiment score for each COVID-19 tweet. Topic modeling was applied to identify top topics related to COVID-19. Results: While the number of COVID-19 cases increased more rapidly in New York than in California in March 2020, the number of tweets posted has a similar trend over time in both states. COVID-19 tweets from California had more negative sentiment scores than New York. There were some fluctuations in sentiment scores in both states over time, which might correlate with the policy changes and the severity of COVID-19 pandemic. The topic modeling results showed that the popular topics in both California and New York states are similar, with "protective measures" as the most prevalent topic associated with COVID-19 in both states. Conclusions: Twitter users from California had more negative sentiment scores towards COVID-19 than Twitter users from New York. The prevalent topics about COVID-19 discussed in both states were similar with some slight differences.

More effective strategies are required to strengthen public awareness of COVID-19: Evidence from Google Trends

BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) has posed stress on the health and well-being of both Chinese people and the public worldwide. Global public interest in this new issue largely reflects people’s attention to COVID-19 and their willingness to take precautionary actions. This study aimed to examine global public awareness of COVID-19 using Google Trends. METHODS: Using Google Trends, we retrieved public query data for terms of “2019-nCoV + SARS-CoV-2 + novel coronavirus + new coronavirus + COVID-19 + Corona Virus Disease 2019” between the 31(st) December 2019 and the 24(th) February 2020 in six major English-speaking countries, including the USA, the UK, Canada, Ireland, Australia, and New Zealand. Dynamic series analysis demonstrates the overall change trend of relative search volume (RSV) for the topic on COVID-19. We compared the top-ranking related queries and sub-regions distribution of RSV about COVID-19 across different countries. The correlation between daily search volumes on the topic related to COVID-19 and the daily number of people infected with SARS-CoV-2 was analyzed. RESULTS: The overall search trend of RSV regarding COVID-19 increased during the early period of observing time and reached the first apex on 31(st) January 2020. A shorter response time and a longer duration of public attention to COVID-19 was observed in public from the USA, the UK, Australia, and Canada, than that in Ireland and New Zealand. A slightly positive correlation between daily RSV about COVID-19 and the daily number of confirmed cases was observed (P < 0.05). People across countries presented a various interest to the RSV on COVID-19, and public awareness of COVID-19 was different in various sub-regions within countries. CONCLUSIONS: The results suggest that public response time to COVID-19 was different across countries, and the overall duration of public attention was short. The current study reminds us that governments should strengthen the publicity of COVID-19 nationally, strengthen the public's vigilance and sensitivity to COVID-19, inform public the importance of protecting themselves with enough precautionary measures, and finally control the spread of COVID-19 globally.

The day after COVID-19

The latest threat to global health is the COVID-19 outbreak. Although there exist large datasets of chest X-rays (CXR) and computed tomography (CT) scans, few COVID-19 image collections are currently available due to patient privacy. At the same time, there is a rapid growth of COVID-19-relevant articles in the biomedical literature. Here, we present COVID-19-CT-CXR, a public database of COVID-19 CXR and CT images, which are automatically extracted from COVID-19-relevant articles from the PubMed Central Open Access (PMC-OA) Subset. We extracted figures, associated captions, and relevant figure descriptions in the article and separated compound figures into subfigures. We also designed a deep-learning model to distinguish them from other figure types and to classify them accordingly. The final database includes 1,327 CT and 263 CXR images (as of May 9, 2020) with their relevant text. To demonstrate the utility of COVID-19-CT-CXR, we conducted four case studies. (1) We show that COVID-19-CT-CXR, when used as additional training data, is able to contribute to improved DL performance for the classification of COVID-19 and non-COVID-19 CT. (2) We collected CT images of influenza and trained a DL baseline to distinguish a diagnosis of COVID-19, influenza, or normal or other types of diseases on CT. (3) We trained an unsupervised one-class classifier from non-COVID-19 CXR and performed anomaly detection to detect COVID-19 CXR. (4) From text-mined captions and figure descriptions, we compared clinical symptoms and clinical findings of COVID-19 vs. those of influenza to demonstrate the disease differences in the scientific publications. We believe that our work is complementary to existing resources and hope that it will contribute to medical image analysis of the COVID-19 pandemic. The dataset, code, and DL models are publicly available at https://github.com/ncbi-nlp/COVID-19-CT-CXR.

Accurate Statistics on COVID-19 Are Essential for Policy Guidance and Decisions

COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature.

COVID-19.

In other Covid-19 news

Flattening the curve of new publications on COVID-19.

Resources during covid-19.

In other Covid-19 news.

Working together to contain and manage COVID-19.

COVID-19 current controversies.

After Covid-19

Resources during covid-19

Covid-19 and public health

COVID-19 data sources in Latin America and the Caribbean

Commercial influence and covid-19

COVID-19

Covid-19

Background: The outbreak of coronavirus disease 2019 (COVID-19) has posed stress on the health and well-being of both Chinese people and the public worldwide. Global public interest in this new issue largely reflects people's attention to COVID-19 and their willingness to take precautionary actions. This study aimed to examine global public awareness of COVID-19 using Google Trends. Methods: Using Google Trends, we retrieved public query data for terms of "2019-nCoV + SARS-CoV-2 + novel coronavirus + new coronavirus + COVID-19 + Corona Virus Disease 2019" between the 31st December 2019 and the 24th February 2020 in six major English-speaking countries, including the USA, the UK, Canada, Ireland, Australia, and New Zealand. Dynamic series analysis demonstrates the overall change trend of relative search volume (RSV) for the topic on COVID-19. We compared the top-ranking related queries and sub-regions distribution of RSV about COVID-19 across different countries. The correlation between daily search volumes on the topic related to COVID-19 and the daily number of people infected with SARS-CoV-2 was analyzed. Results: The overall search trend of RSV regarding COVID-19 increased during the early period of observing time and reached the first apex on 31st January 2020. A shorter response time and a longer duration of public attention to COVID-19 was observed in public from the USA, the UK, Australia, and Canada, than that in Ireland and New Zealand. A slightly positive correlation between daily RSV about COVID-19 and the daily number of confirmed cases was observed (P < 0.05). People across countries presented a various interest to the RSV on COVID-19, and public awareness of COVID-19 was different in various sub-regions within countries. Conclusions: The results suggest that public response time to COVID-19 was different across countries, and the overall duration of public attention was short. The current study reminds us that governments should strengthen the publicity of COVID-19 nationally, strengthen the public's vigilance and sensitivity to COVID-19, inform public the importance of protecting themselves with enough precautionary measures, and finally control the spread of COVID-19 globally.

COVID-19 Datasets: A Survey and Future Challenges

In December 2019, a novel virus named as COVID-19 emerged in the city of Wuhan, China. In early 2020, the COVID-19 virus spread in all continents of the world except Antarctica causing widespread infections and deaths due to its contagious characteristics and no medically proven treatment. The COVID-19 pandemic has been termed as most consequential global crisis after the World Wars. The first line of defense against the COVID-19 spread are the non-pharmaceutical measures like social distancing and personal hygiene. On the other hand, the medical service providers are the first responders for infected persons with severe symptoms of COVID-19. The great pandemic affecting billions of lives economically and socially has motivated the scientific community to come up with solutions based on computer-aided digital technologies for diagnosis, prevention, and estimation of COVID-19. Some of these efforts focus on statistical and Artificial Intelligence-based analysis of the available data concerning COVID-19. All of these scientific efforts necessitate that the data brought to service for the analysis should be open-source to promote the extension, validation, and collaboration of the work in the fight against the global pandemic. Our survey is motivated by the open-source efforts that can be mainly categorized as: (a) COVID-19 diagnosis from CT scans and X-ray images, (b) COVID-19 case reporting, transmission estimation, and prognosis from epidemiological, demographic, and mobility data, (c) COVID-19 emotional and sentiment analysis from social media, and (d) knowledge-based discovery and semantic analysis from the collection of scholarly articles covering COVID-19. We review and critically analyze works in these directions that are accompanied by open-source data and code. We hope that the article will provide the scientific community with an initiative to start open-source extensible and transparent research in the collective fight against COVID-19.

Web surveys in the time of COVID-19

Public Reporting of COVID-19 Management.

The Importance of Publishing Non-COVID-19 Research during COVID-19

Inside the heart of COVID-19

COVID-19 Is a Data Science Issue

At the heart of COVID-19

Crisis Leadership During and Following COVID-19.

Ethnicity and covid-19

The impact of COVID-19

Focusing on Vulnerable Populations During COVID-19.

Validate the integrity of research data on COVID 19

The impact of COVID-19.

Leading through COVID-19 crisis

Public Reporting of COVID-19 Management

Share mobile and social-media data to curb COVID-19.

Commercial influence and covid-19.

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

During the outbreak time of COVID-19, computed tomography (CT) is a useful manner for diagnosing COVID-19 patients. Due to privacy issues, publicly available COVID-19 CT datasets are highly difficult to obtain, which hinders the research and development of AI-powered diagnosis methods of COVID-19 based on CTs. To address this issue, we build an open-sourced dataset -- COVID-CT, which contains 349 COVID-19 CT images from 216 patients and 463 non-COVID-19 CTs. The utility of this dataset is confirmed by a senior radiologist who has been diagnosing and treating COVID-19 patients since the outbreak of this pandemic. We also perform experimental studies which further demonstrate that this dataset is useful for developing AI-based diagnosis models of COVID-19. Using this dataset, we develop diagnosis methods based on multi-task learning and self-supervised learning, that achieve an F1 of 0.90, an AUC of 0.98, and an accuracy of 0.89. According to the senior radiologist, models with such performance are good enough for clinical usage. The data and code are available at https://github.com/UCSD-AI4H/COVID-CT

Covid-19 and public health.

Is Working From Home The New Norm? An Observational Study Based on a Large Geo-tagged COVID-19 Twitter Dataset

As the COVID-19 pandemic swept over the world, people discussed facts, expressed opinions, and shared sentiments on social media. Since the reaction to COVID-19 in different locations may be tied to local cases, government regulations, healthcare resources and socioeconomic factors, we curated a large geo-tagged Twitter dataset and performed exploratory analysis by location. Specifically, we collected 650,563 unique geo-tagged tweets across the United States (50 states and Washington, D.C.) covering the date range from January 25 to May 10, 2020. Tweet locations enabled us to conduct region-specific studies such as tweeting volumes and sentiment, sometimes in response to local regulations and reported COVID-19 cases. During this period, many people started working from home. The gap between workdays and weekends in hourly tweet volumes inspired us to propose algorithms to estimate work engagement during the COVID-19 crisis. This paper also summarizes themes and topics of tweets in our dataset using both social media exclusive tools (i.e., #hashtags, @mentions) and the latent Dirichlet allocation model. We welcome requests for data sharing and conversations for more insights. Dataset link: http://covid19research.site/geo-tagged_twitter_datasets/

Covid-19 products

Severe Covid-19.

Characteristic feature in COVID-19 statistics in China

The Challenges Wrought by COVID-19.

Ethnicity and covid-19.

NAIST COVID: Multilingual COVID-19 Twitter and Weibo Dataset

Since the outbreak of coronavirus disease 2019 (COVID-19) in the late 2019, it has affected over 200 countries and billions of people worldwide. This has affected the social life of people owing to enforcements, such as"social distancing"and"stay at home."This has resulted in an increasing interaction through social media. Given that social media can bring us valuable information about COVID-19 at a global scale, it is important to share the data and encourage social media studies against COVID-19 or other infectious diseases. Therefore, we have released a multilingual dataset of social media posts related to COVID-19, consisting of microblogs in English and Japanese from Twitter and those in Chinese from Weibo. The data cover microblogs from January 20, 2020, to March 24, 2020. This paper also provides a quantitative as well as qualitative analysis of these datasets by creating daily word clouds as an example of text-mining analysis. The dataset is now available on Github. This dataset can be analyzed in a multitude of ways and is expected to help in efficient communication of precautions related to COVID-19.

COVID-19 Initiatives and a New Associate Editor

COVID-19 in the community

Research News: COVID-19

Coping with Covid-19.

Aggregating data from COVID-19 trials

Social media as a source of medical information during COVID-19.

COVID-19 Initiatives and a new Associate Editor.

Controlling COVID-19.

Rapid review of COVID-19.

A review of mathematical modeling, artificial intelligence and datasets used in the study, prediction and management of COVID-19

In the past few months, several works were published in regards to the dynamics and early detection of COVID-19 via mathematical modeling and Artificial intelligence (AI). The aim of this work is to provide the research community with comprehensive overview of the methods used in these studies as well as a compendium of available open source datasets in regards to COVID-19. In all, 61 journal articles, reports, fact sheets, and websites dealing with COVID-19 were studied and reviewed. It was found that most mathematical modeling done were based on the Susceptible-Exposed-Infected-Removed (SEIR) and Susceptible-infected-recovered (SIR) models while most of the AI implementations were Convolutional Neural Network (CNN) on X-ray and CT images. In terms of available datasets, they include aggregated case reports, medical images, management strategies, healthcare workforce, demography, and mobility during the outbreak. Both Mathematical modeling and AI have both shown to be reliable tools in the fight against this pandemic. Several datasets concerning the COVID-19 have also been collected and shared open source. However, much work is needed to be done in the diversification of the datasets. Other AI and modeling applications in healthcare should be explored in regards to this COVID-19.

Aggregating data from COVID-19 trials.

Leading through COVID-19 crisis.

COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images

The COVID-19 pandemic continues to have a devastating effect on the health and well-being of the global population. A critical step in the fight against COVID-19 is effective screening of infected patients, with one of the key screening approaches being radiology examination using chest radiography. Motivated by this and inspired by the open source efforts of the research community, in this study we introduce COVID-Net, a deep convolutional neural network design tailored for the detection of COVID-19 cases from chest X-ray (CXR) images that is open source and available to the general public. To the best of the authors' knowledge, COVID-Net is one of the first open source network designs for COVID-19 detection from CXR images at the time of initial release. We also introduce COVIDx, an open access benchmark dataset that we generated comprising of 13,975 CXR images across 13,870 patient patient cases, with the largest number of publicly available COVID-19 positive cases to the best of the authors' knowledge. Furthermore, we investigate how COVID-Net makes predictions using an explainability method in an attempt to not only gain deeper insights into critical factors associated with COVID cases, which can aid clinicians in improved screening, but also audit COVID-Net in a responsible and transparent manner to validate that it is making decisions based on relevant information from the CXR images. By no means a production-ready solution, the hope is that the open access COVID-Net, along with the description on constructing the open source COVIDx dataset, will be leveraged and build upon by both researchers and citizen data scientists alike to accelerate the development of highly accurate yet practical deep learning solutions for detecting COVID-19 cases and accelerate treatment of those who need it the most.

The COVID-19 Gene and Drug Set Library

The coronavirus (CoV) severe acute respiratory syndrome (SARS)-CoV-2 (COVID-19) pandemic has received rapid response by the research community to offer suggestions for repurposing of approved drugs as well as to improve our understanding of the COVID-19 viral life cycle molecular mechanisms. In a short period, tens of thousands of research preprints and other publications have emerged including those that report lists of experimentally validated drugs and compounds as potential COVID-19 therapies. In addition, gene sets from interacting COVID-19 virus-host proteins and differentially expressed genes when comparing infected to uninfected cells are being published at a fast rate. To organize this rapidly accumulating knowledge, we developed the COVID-19 Gene and Drug Set Library (https://amp.pharm.mssm.edu/covid19/), a collection of gene and drug sets related to COVID-19 research from multiple sources. The COVID-19 Gene and Drug Set Library is delivered as a web-based interface that enables users to view, download, analyze, visualize, and contribute gene and drug sets related to COVID-19 research. To evaluate the content of the library, we performed several analyses including comparing the results from 6 in-vitro drug screens for COVID-19 repurposing candidates. Surprisingly, we observe little overlap across these initial screens. The most common and unique hit across these screen is mefloquine, a malaria drug that should receive more attention as a potential therapeutic for COVID-19. Overall, the library of gene and drug sets can be used to identify community consensus, make researchers and clinicians aware of the development of new potential therapies, as well as allow the research community to work together towards a cure for COVID-19.

The many uncertainties of COVID-19.

The Challenges Wrought by COVID-19

The challenge of COVID-19 has accelerated the use of new data-sharing technologies

Patient and public involvement in covid-19 policy making.

Assessing the severity of COVID-19.

Personal Risk and Societal Obligation Amidst COVID-19.

Questions raised by COVID-19 case descriptions

Pivoting Research to COVID-19

The many uncertainties of COVID-19

Global Sentiments Surrounding the COVID-19 Pandemic on Twitter: Analysis of Twitter Trends

BACKGROUND: With the World Health Organization's pandemic declaration and government-initiated actions against coronavirus disease (COVID-19), sentiments surrounding COVID-19 have evolved rapidly. OBJECTIVE: This study aimed to examine worldwide trends of four emotions-fear, anger, sadness, and joy-and the narratives underlying those emotions during the COVID-19 pandemic. METHODS: Over 20 million social media twitter posts made during the early phases of the COVID-19 outbreak from January 28 to April 9, 2020, were collected using "wuhan," "corona," "nCov," and "covid" as search keywords. RESULTS: Public emotions shifted strongly from fear to anger over the course of the pandemic, while sadness and joy also surfaced. Findings from word clouds suggest that fears around shortages of COVID-19 tests and medical supplies became increasingly widespread discussion points. Anger shifted from xenophobia at the beginning of the pandemic to discourse around the stay-at-home notices. Sadness was highlighted by the topics of losing friends and family members, while topics related to joy included words of gratitude and good health. CONCLUSIONS: Overall, global COVID-19 sentiments have shown rapid evolutions within just the span of a few weeks. Findings suggest that emotion-driven collective issues around shared public distress experiences of the COVID-19 pandemic are developing and include large-scale social isolation and the loss of human lives. The steady rise of societal concerns indicated by negative emotions needs to be monitored and controlled by complementing regular crisis communication with strategic public health communication that aims to balance public psychological wellbeing.

Global Effort to Collect Data on Ventilated Patients With COVID-19.

COVID-19 affecting our world

Trainee education during COVID-19

Moving academic research forward during COVID-19

Rapid review of COVID-19

Call for commentaries on COVID-19

The impact of covid-19 on research

COVID-19 affecting our world.

A citizen science initiative for open data and visualization of COVID-19 outbreak in Kerala, India

India, the second most populated country in the world, reported its first COVID-19 case in the state of Kerala with a travel history from Wuhan. Subsequently, a surge of cases was observed in the state mainly through the individuals who traveled from Europe and the Middle East to Kerala, thus initiating an outbreak. Since public awareness through dissemination of reliable information plays a significant role in controlling the spread of the disease, the Department of Health Services, Government of Kerala initially released daily updates through daily textual bulletins. However, this unstructured data requires refinement and enrichment for upstream applications, such as visualization, and/or analysis. Here we reported a citizen science initiative that leveraged publicly available and crowd-verified data on COVID-19 outbreak in Kerala from the government bulletins, supplemented with the information from media outlets to generate reusable datasets. This data was further used to provide real-time analysis, and daily updates of COVID-19 cases in Kerala, through a user-friendly bilingual dashboard (https://covid19kerala.info/) for non-specialists. We ensured longevity and reusability of the dataset by depositing it in a public repository, aligning with open source principles for future analytical efforts. Finally, to show the scope of the sourced data, we also provided a snapshot of outbreak trends and demographic characteristics of the individuals affected with COVID-19 in Kerala during the first 99 days of the outbreak.

Deep-COVID: Predicting COVID-19 From Chest X-Ray Images Using Deep Transfer Learning

The COVID-19 pandemic is causing a major outbreak in more than 150 countries around the world, having a severe impact on the health and life of many people globally. One of the crucial step in fighting COVID-19 is the ability to detect the infected patients early enough, and put them under special care. Detecting this disease from radiography and radiology images is perhaps one of the fastest way to diagnose the patients. Some of the early studies showed specific abnormalities in the chest radiograms of patients infected with COVID-19. Inspired by earlier works, we study the application of deep learning models to detect COVID-19 patients from their chest radiography images. We first prepare a dataset of 5,000 Chest X-rays from the publicly available datasets. Images exhibiting COVID-19 disease presence were identified by board-certified radiologist. Transfer learning on a subset of 2,000 radiograms was used to train four popular convolutional neural networks, including ResNet18, ResNet50, SqueezeNet, and DenseNet-121, to identify COVID-19 disease in the analyzed chest X-ray images. We evaluated these models on the remaining 3,000 images, and most of these networks achieved a sensitivity rate of 97\%($\pm$ 5\%), while having a specificity rate of around 90\%. While the achieved performance is very encouraging, further analysis is required on a larger set of COVID-19 images, to have a more reliable estimation of accuracy rates. Besides sensitivity and specificity rates, we also present the receiver operating characteristic (ROC), area under the curve (AUC), and confusion matrix of each model. The dataset, model implementations (in PyTorch), and evaluations, are all made publicly available for research community, here: https://github.com/shervinmin/DeepCovid.git

COVID-19 lockdowns throughout the world

All about COVID-19 in brief

Twitter discussions and emotions about COVID-19 pandemic: a machine learning approach

The objective of the study is to examine coronavirus disease (COVID-19) related discussions, concerns, and sentiments that emerged from tweets posted by Twitter users. We analyze 4 million Twitter messages related to the COVID-19 pandemic using a list of 25 hashtags such as"coronavirus,""COVID-19,""quarantine"from March 1 to April 21 in 2020. We use a machine learning approach, Latent Dirichlet Allocation (LDA), to identify popular unigram, bigrams, salient topics and themes, and sentiments in the collected Tweets. Popular unigrams include"virus,""lockdown,"and"quarantine."Popular bigrams include"COVID-19,""stay home,""corona virus,""social distancing,"and"new cases."We identify 13 discussion topics and categorize them into five different themes, such as"public health measures to slow the spread of COVID-19,""social stigma associated with COVID-19,""coronavirus news cases and deaths,""COVID-19 in the United States,"and"coronavirus cases in the rest of the world". Across all identified topics, the dominant sentiments for the spread of coronavirus are anticipation that measures that can be taken, followed by a mixed feeling of trust, anger, and fear for different topics. The public reveals a significant feeling of fear when they discuss the coronavirus new cases and deaths than other topics. The study shows that Twitter data and machine learning approaches can be leveraged for infodemiology study by studying the evolving public discussions and sentiments during the COVID-19. Real-time monitoring and assessment of the Twitter discussion and concerns can be promising for public health emergency responses and planning. Already emerged pandemic fear, stigma, and mental health concerns may continue to influence public trust when there occurs a second wave of COVID-19 or a new surge of the imminent pandemic.

Avoiding Disinformation Traps in COVID-19

Full spectrum of COVID-19 severity still being depicted

Published evidence on COVID-19 in top-ranked journals: A descriptive study

COVID-19 in the community.

Data sharing in the era of COVID-19