Abdullah M Al Alawi, Halima H Al Shuaili, Khalid Al-Naamani, Zakariya Al Naamani, Said A Al-Busafi
A Machine Learning-Based Mortality Prediction Model for Patients with Chronic Hepatitis C Infection: An Exploratory Study
Journal of clinical medicine
chapter aims provide repository data focusing national provincial levels describes broad status south african health system sociodemographic indicators determinants health status indicators well health service indicators data sourced primarily national routine data sources also captured major surveys global reports impact covid19 pandemic viewed multiple lenses covid19 hastened development new improved health information systems modules track disease health system inputs responses realtime reporting incident cases hospitalisations mortality enabled including weekly estimates number excess deaths associated pandemic ensuring innovations retained pandemic important covid19 also emphasised need ensure data systems use common unique identifier covid19 resulted many collateral impacts aspects health service delivery outcomes selected examples reported using routine data illustrate difference expected observed measures marked impacts shown primary health care utilisation rate antenatal care specific disease programmes tuberculosis screening testing treatment initiation hiv testing antiretroviral therapy initiation continuity care less dramatic impacts childhood immunisation coverage evident routine data community health workers vital cadre response covid19 mitigating disruptions health service delivery result pandemic yet role health system poorly documented managed since included mainstream information systems south africa transitions pandemic response means managing covid19 endemic disease key task retain useful health information systems innovations ensure continue contribute unfinished agenda universal health coverage