text:
TITLE: CDC Firearm Injury Surveillance Study
AGENCY/PROGRAM: National Center for Injury Prevention and Control, Centers for Disease Control and Prevention
DESCRIPTION: The National Center for Injury Prevention and Control (NCIPC), Centers for Disease Control and Prevention (CDC) has launched an effort to understand the magnitude and characteristics of nonfatal firearm-related injuries (FA) in the United States. These injuries have a tremendous impact on our society in terms of morbidity, cost of medical care, and long-term disability, especially associated with head and spinal cord injuries.
Data are being obtained through the National Electronic Injury Surveillance System (NEISS) and these data have been very usefulf or monitoring national estimates of the incidence of nonfatal FA injuries treated in hospital emergency departments (EDs). The NEISS consists of a stratified probability sample of all hospitals with EDs in the United States. The U.S. Consumer Product Safety Commission (CPSC) operates NEISS and uses the system to identify hazards and track product-related injuries. Currently, 98 NEISS hospitals participate. This study is being conducted through an interagency agreement and in collaboration with the CPSC. We have demonstrated that NEISS can provide valid national estimates of nonfatal FA injuries treated in hospital EDs.
Ongoing national surveillance of nonfatal FA injuries using NEISS was initiated in June 1992. We are currently collecting information on method of transport to the ED, demographic characteristics of the injured person, type of injury, primary body part affected, hospitalization, intent of injury, victim-offender relationship, type of firearm used, and other circumstances about the injury incident.
These files contain data on: Functional/Health Status; Age/Gender; Other Demographic/Sociocultural; and Other (circumstances/ nature/intent of injury).
RACE/ETHNICITY: Race categories are: American Indian/Alaskan Native; Asian or Pacific Islander; Black; White; and Other. Ethnicity categories are: Hispanic; and Not of Hispanic Origin.
DATA LIMITATIONS: Data on race/ethnicity are obtained as specified on hospital emergency department records. If a person is reported as Hispanic, race is usually recorded as "other." NEISS provides national estamates, but does not provide state and local estimates.
STATUS: Started in June 1992, this continuous data collection is active.
HOW TO ACCESS DATA: Data are available in scientific journals and written reports. Public use files are also available for NEISS FA data obtained from 1993 through 1999. Data can be accessed through the University of Michigan's Inter-University Consortium for Political and Social Research (ICPSR), National Archive of Criminal Justice Data http://www.icpsr.umich.edu/NACJD/archive.html, study number 3018.
CONTACT PERSON: J. Lee Annest, Ph.D.
Director, Office of Statistics & Programming
National Center for Injury and Prevention and Control
Mailstop K-59, 4770 Buford Hwy.
lannest@cdc.gov
TITLE: National Electronic Injury Surveillance System (NEISS) All Injury Program (AIP)
ACRONYM: NEISS AIP
AGENCY/PROGRAM: National Center for Injury Prevention and Control (NCIPC), Centers for Disease Control and Prevention
DESCRIPTION: The National Center for Injury Prevention and Control (NCIPC), Centers for Disease Control and Prevention (CDC) is collaborating with the U.S. Consumer Product Safety Commission (CPSC) to expand the National Electronic Injury Surveillance System (NEISS) to collect data on all types and causes of injuries treated in a representative sample of U.S. hospitals with emergency departments (ED). National estimates of nonfatal injuries are available for 2000 and will soon be available for 2001.
The NEISS All Injury Program is designed to provide national incidence estimates of all types and external causes of nonfatal injuries and poisonings treated in U.S. hospital EDs. Its scope will go beyond routine reporting of injuries associated with consumer-related products in CPSC's jurisdiction to include all injuries and poisonings. The data can be used to (1) measure the magnitude and distribution of nonfatal injuries in the United States; (2) monitor unintentional and violence-related nonfatal injuries over time, (3) identify emerging injury problems; (4) identify specific cases for follow-up investigations of particular injury-related problems; and (5) set national priorities. A fundamental principle of this expansion effort is that preliminary surveillance data will be made available in a timely manner to a number of federal agencies with unique and overlapping public health responsibilities. Annually, the final edited data will be released on a public use data tape for use by other public health professionals and researchers.
NEISS provides data on age, race/ethnicity, sex of the patient, diagnosis, primary body part affected, consumer products involved, disposition at ED discharge (i.e., hospitalized, transferred, treated and released, died), the locale where the injury occurred, work-relatedness, and a narrative description of the injury circumstances. Also, major categories of external cause of injury (e.g., motor vehicle, falls, cut/pierce, poisoning, fire/burn) and of intent of injury (e.g., unintentional, assault, intentional self-harm, legal intervention) are being coded for each case in a manner consistent with the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) coding rules and guidelines. In this way, if additional resources become available in the future, these data could be coded using ICD-10-CM external-cause-of-injury codes.
NCIPC's Web-based Injury Statistics Query and Reporting System (WISQARS), which can be accessed at the NCIPC home page www.cdc.gov/ncipc, provides a quick and easy interactive method of obtaining injury statistics in tailored report formats. In addition to the fatality data module, the NEISS AIP nonfatal data are available in two formats: Nonfatal Injury Reports and Leading Causes of Nonfatal Injury.
RACE/ETHNICITY: The four categories are: white, non-Hispanic black (including hispanic and non-hispanic), Hispanic (for all races other than black), and unknown/unspecified.
DATA LIMITATIONS: The nonfatal data does not offer the option to request leading causes of injury by race/ethnicity because of the relatively high percentage (appx. 17 %) with unknown race/ethnicity. For nonfatal injury reports users can request the number of injuries from a specific cause and intent of injury by race/ethnicity by selecting "race" as a sort option. Annualized national estimates presented for each race/ethnicity category will be low because they do not count cases recorded as "unknown" race/ethnicity. Another limitation is that state and local estimates are not available.
STATUS: The NEISS AIP began in July 2000 and is ongoing.
HOW TO ACCESS DATA: The Web-based Injury Statistics Query and Reporting System (WISQARS) is an internet-based injury statistics system designed to provide the user with the NEISS AIP data in two report formats: Nonfatal Injury Reports and Leading Causes of Nonfatal Injury. In addition, the user can create tailored reports to meet their individual needs. WISQARS can be located through the NCIPC home page at www.cdc.gov/ncipc.
TITLE: CDC Traumatic Brain Injury Surveillance System
ACRONYM: TBISS
DESCRIPTION: The National Center for Injury Prevention and Control (NCIPC), Centers for Disease Control and Prevention (CDC) had developed and maintains a surveillance system to understand the magnitude and characteristics of hospitalized and fatal traumatic brain injuries in the United States. These injuries have a tremendous impact on our society in terms of morbidity, cost of medical care, and long-term disability.
CDC began promoting the development of a multistate traumatic brain injury surveillance system in 1989, after the Federal Interagency Head Injury Task Force Report identified the need for better information on the public health impact of brain injuries. The surveillance system's purpose is to collect program wide information that can be used to help design targeted prevention programs addressing specific causes of TBI and populations at higher risk, to improve injured persons' access to health care, and to improve other services they need after injury.
In 1995, CDC published Guidelines for Surveillance of Central Nervous System Injury2 to help ensure that the multistate TBI surveillance system would generate valid and timely information representative of the U.S. population. These guidelines provided standard case definitions and clearly defined the data elements necessary to describe the occurrence, severity, and outcome of these injuries, their external causes, and associated risk factors. The core of these data elements are obtained from hospital discharge reports that are available to most state health departments.
In 1997, CDC published initial findings from this multistate TBI surveillance system, including data from four jurisdictions: Colorado, Missouri, Oklahoma, and Utah.
As a result of the Traumatic Brain Injury Act of 1996 (P.L. 104-166), CDC was able to add 11 states to the system in September 1997, bringing the total number of participants to 15. Participating states now include Alaska, Arizona, Arkansas, California, Colorado, Louisiana, Maryland, Minnesota, Missouri, Nebraska, New York, Oklahoma, Rhode Island, South Carolina, and Utah. Together, these states represent much of the diversity of populations found throughout the United States.
RACE/ETHNICITY: Categories of race are: American Indian/Alaskan Native; Asian or Pacific Islander; Black; White; and Other. Categories of ethnicity are: Hispanic; Not of Hispanic Origin.
DATA LIMITATIONS: Since information on nonfatal cases is obtained from hospital discharge data systems, data on race/ethnicity are not available from states.
HOW TO ACCESS DATA: Data are available in scientific journals and written reports. Public use files are not available yet. Data are available in statistical reports for 1990-1994.
CONTACT PERSON: David J. Thurman, M.D., M.P.H.
Medical Epidemiologist
Disability and Rehabilitation Team
Division of Acute Care
Rehabilitation Research and Disability Prevention
NCIPC, MS F-41
DXT9@cdc.gov
TITLE: State-Based Emergency Department Injury Surveillance
DESCRIPTION: This pilot system is designed to capture the state-wide incidence of emergency department related injuries. MA, MN, and SC are the states currently participating in this system, each using slightly different methods to achieve the same set of standardized data elements. Each of the three participating state health departments may choose to analyze subset areas within their states; and they may even want to provide a participating emergency department with summaries or analyses of the data it has submitted. Data will be available for all or part of 1998 and collection will probably continue in the future. At this time, it is expected that data will be collected quarterly and that each state will produce data-based reports at least annually.
Methods of data collection for this system include:
Data are originally collected by:
RACE/ETHNICITY: Race and/or Ethnicity data are not currently collected.
STATUS: This system collects data actively and passively.
HOW TO ACCESS DATA: Public use data files available. Interpreted results can be accessed through:
CONTACT PERSON: John Horan
joh3@cdc.gov
TITLE: Diphtheria Antitoxin
ACRONYM: DAT
AGENCY/PROGRAM: National Immunization Program, Centers for Disease Control and Prevention
DESCRIPTION: Diphtheria antitoxin is only available through CDC (on an individual basis as an 'orphan' drug). As such, it must be released on a case-by-case basis. We collect information on suspected diphtheria cases in the process of drug release and in follow-up via telephone discussions with treating physicians. The purpose is to characterize cases of diphtheria and thereby identify areas at risk for outbreaks and risk factors for disease.
Smallest area of analysis: We collect information from all over the country.
Years for which data are available: CDC has been collecting data on individual cases of diphtheria since the 1950s. Currently available files cover the period 1980 -1997.
notification of case(s)/events
antitoxin request
private/doctors or nurses
state/local health departments
Data are sent as needed.
RACE/ETHNICITY: Categorized by self identification by patient. Race and/or Ethnicity data available. The OMB Statistical Directive 15 two variable standard for reporting is used. Race categories are: White; Black; Asian or Pacific Islander; American Indian/Alaskan Native; and Other. Ethnicity categories are: Hispanic/Latino origin; and Not of Hispanic/Latino origin.
STATUS: This system collects data actively.
HOW TO ACCESS DATA: No data release policy specified. Preliminary analysis of data are done annually, more complete analysis of data are done every several years. Interpreted results can be accessed through:
MMWR Surveillance Summaries
CONTACT PERSON: Charles Vitek
cxv3@cdc.gov
TITLE: National Congenital Rubella Syndrome Registry
ACRONYM: NCRSR
DESCRIPTION: The system compiles information on all U.S. congenital rubella syndrome cases. The registry includes cases reported to CDC since 1969. Information collected includes demographic data, laboratory results, and disease symptoms. These data are used to calculate incidence rates and other national estimates on CRS. Data can be analyzed at the state level.
mailed survey
Data are collected weekly.
RACE/ETHNICITY: Race and/or Ethnicity data available. The OMB Statistical Directive 15 two variable standard for reporting is used. Race categories are: White; Black; Asian or Pacific Islander; American Indian or Alaskan Native; and Other. Ethnicity categories are: Hispanic/Latino origin; and Not of Hispanic/Latino origin. NCRSR has just started to collect country of origin.
HOW TO ACCESS DATA: No data release policy specified. Interpreted results can be accessed through:
internal reports
MMWR Weekly Reports
Peer-reviewed journals.
CONTACT PERSON: Susan Reef, MD
ser2@cdc.gov
TITLE: National Immunization Provider Record Check Study
ACRONYM: NIPRCS
AGENCY/PROGRAM: Centers for Disease Control and Prevention/National Immunization Provider/DMD/AB
DESCRIPTION: The NIPRCS is a component of the National Health Interview Survey (NHIS). The NHIS is a cross-sectional face-to-face household interview of the civilian, non-institutionalized population of the U.S. The NHIS collects a broad array of health information to monitor the health of the nation. Included in the NHIS is an immunization section which collects the immunization histories of children under 18 years of age.
The purpose of the NIPRCS is to validate the immunization histories of the children 12-35 months of age included in the NHIS. The immunization provider of the child is contacted by mail and/or telephone to complete a self administered questionnaire which includes a section to report all immunizations the child has received. Data from the NIPRCS are used to produce immunization coverage estimates for the nation. Data are collected on an ongoing basis; data are available for 1994 and 1995.
Files contain data on Other socio-demographic variables collected in this system that may explain racial and/or ethnic disparities include:
RACE/ETHNICITY: Race and/or Ethnicity data available. The information is self-reported during the NHIS interview. The OMB Statistical Directive 15 two variable standard for reporting is used. Race categories are: White; Black; American Indian; Eskimo; Aleut; Chinese; Filipino; Hawaiian; Korean; Vietnamese; Japanese; Asian Indian; Samoan; Guamanian; and Other Asian/Pacific Islander. Ethnicity categories are: Hispanic/Latino origin; and Not of Hispanic/Latino origin.
HOW TO ACCESS DATA: Internal data tapes. Interpreted results can be accessed through MMWR, peer reviewed journals.
CONTACT PERSON: Assessment Branch
National Immunization Program
1600 Clifton Rd, MS E-62
TITLE: National Immunization Survey
ACRONYM: NIS
DESCRIPTION: The National Immunization Program works throughout the 50 states, the District of Columbia, and the U.S. territories and commonwealths to maintain and enhance early childhood vaccination coverage levels. To monitor vaccination coverage for all recommended vaccines for children 19 through 35 months of age, the National Immunization survey (NIS) is being conducted in 78 areas, consisting of the 50 States, the District of Columbia, and 27 metropolitan areas. Beginning with the second quarter of 1994 the NIS data collection effort will conduct independent quarterly surveys in each of the 78 IAP areas. This will make it possible to combine four consecutive quarters of survey data with a degree of precision sufficient for analytic purposes to provide annualized estimates of the coverage rates for the five antigens (DTP, Polio, MMR, Hib, and Hep B) within each of the 78 IAP areas recommended in 1994. The survey has been flexible to allow monitoring of newly recommended vaccines.
The data collection methodology and sample design use list-assisted random digit dialing methods to sample households and conduct computer -assisted telephone interviews. Screening for households with children 19 through 35 months of age is conducted through brief interviews. When an eligible household is identified, data on vaccination history, including dates and/or numbers of immunization events and socio-demographic information are obtained for each child and household interviewed. These files contain data on: Functional/Health Status; Socioeconomic; and Age/Gender.
RACE/ETHNICITY: Race categories are: White; Black; American Indian; Asian; Other; Don't Know; and Refused Specification. Ethnicity categories are: Not Spanish/Hispanic; Mexican; Mexican-American; Chicano; Puerto Rican; Cuban; Other Spanish; Don't Know; and Refused Specification.
STATUS: Started in April 1994, this continuous data collection is active.
HOW TO ACCESS DATA: Findings from the NIS are currently available in MMWR publications. In addition, there are plans to include results from the NIS in an annual CDC/NIP surveillance report and in manuscripts published in peer-reviewed journals.
Data Management Division
Mailstop E62, 1600 Clifton Rd.
TITLE: Perinatal Hepatitis B Prevention Data Management System
ACRONYM: PHBPDMS
DESCRIPTION: This system collects, stores, manages and analyzes data. In addition, it tracks and manages vaccines and other services administered. It also generates notification letters through a reminder/recall system and produces various reports and tables.
direct interview
individuals by self-report
public health clinics
public health laboratories
managed care organizations
Data are collected yearly.
File contains data on: Other socio-demographic variables collected in this system that may explain racial and/or ethnic disparities include:
RACE/ETHNICITY: Race and/or Ethnicity data available. The OMB Statistical Directive 15 two variable standard for reporting is used. Categories include: Race categories are:- White, Black, Asian/Pacific Islander, American Indian/Alaskan Native; and Other. Ethnicity categories are: Hispanic/Latino origin; and Not of Hispanic/Latino origin.
CONTACT PERSON: Edith Gary
exg1@cdc.gov
TITLE: Pertussis
DESCRIPTION: System provides the most data from SPSS and NETSS with details on each pertussis case reported by each state.
Data are collected weekly. CDC reports pertusis cases in the MMWR, in the weekly tables, and in the tables in the Annual Summary.
RACE/ETHNICITY: Race and/or Ethnicity data available. The OMB Statistical Directive 15 two variable standard for reporting is used. Race categories are: White; Black, Asian/Pacific Islander; American Indian/Alaskan Native; and Other. Ethnicity categories are: Hispanic/Latino origin; and Not of Hispanic/Latino origin.
HOW TO ACCESS DATA: No data release policy specified. No data access method specified.
CONTACT PERSON: Barbara Bardenheier
bfb7@cdc.gov
TITLE: Tetanus
DESCRIPTION: The system provides data describing each tetanus case in regards to the wound, type of wound, and where it occurred. If infection did not occur from a wound, then data on the associated condition, all medical care provided and when the infection was acquired are collected.
RACE/ETHNICITY: Race and/or Ethnicity data available. The OMB Statistical Directive 15 two variable standard for reporting is used. Race categories are: White; Black; Asian/Pacific Islander; American Indian/Alaskan Native; and Other. Ethnicity categories are: Hispanic/Latino origin; and Not of Hispanic/Latino origin.
HOW TO ACCESS DATA: CDC internal use files only. Interpreted results can be accessed through:
CONTACT PERSON: Barbara Bardenheir
TITLE: Vaccine Adverse Event Reporting System
ACRONYM: VAERS
DESCRIPTION: System compiles information on reports of adverse events following any U.S. licensed vaccine in all age groups. Events are reported by vaccine manufacturers, private health care providers, state immunization programs, parents of vaccinees, and vaccinees. National estimates of adverse events by vaccine antigen and vaccine lot are monitored.
vaccine manufacturers
Data are collected in an ongoing manner; NIP receives the data weekly.
RACE/ETHNICITY: Race and/or Ethnicity data not collected.
STATUS: This is an ongoing passive surveillance system.
CONTACT PERSON: Gina Terraciano Mootrey
gxt5@cdc.gov
TITLE: Vaccine Safety Datalink Project
ACRONYM: VSD
DESCRIPTION: NIP, with several HMO's, has linked automated immunizations and medical records annually. This project can determine possible causation by vaccines of rare adverse events temporarily associated with vaccines and is an excellent example of public health managed care partnerships.
HMO automated reporting
Data are collected yearly. Data are also sent as needed.
STATUS: Status unknown regarding whether or not this is an active or passive reporting system.
CONTACT PERSON: Bob Chen
rte1@cdc.gov
TITLE: Adult Blood-Lead Epidemiology and Surveillance Program
ACRONYM: ABLES
AGENCY/PROGRAM: National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention
DESCRIPTION: ABLES is an ongoing, state-based surveillance program of laboratory-reported adult blood levels in 35 states. The objective of the ABLES program is to reduce the number of adults with blood lead levels of 25 mcg/dl or greater (Healthy People 2010, Objective 20.7). ABLES tries to reach its objective by building capacity at the state level to initiate or improve surveillance programs which can accurately measure trends in adult blood lead levels and which can effectively intervene to prevent lead over-exposures.
laboratory blood lead level reports
public or private laboratories
state/local health departments or other designated departments
Data are collected quarterly.
STATUS: This system collects data passively.
HOW TO ACCESS DATA: Public use data files are not yet available but planned. Interpreted results can be accessed through:
CONTACT PERSON: Robert Roscoe
rjr1@cdc.gov
TITLE: Alaska Occupational Injury Surveillance System
ACRONYM: AOISS
DESCRIPTION: The Alaska Occupational Injury Surveillance System (AOISS) collects data on all fatal work-related traumatic injuries that occur in Alaska. Cases are identified through cooperation with federal, state , or local agencies in Alaska. Additional information is gathered from police, autopsy, FACE, and OSHA reports and print media. Data are currently available for the period 1990 through present. Data in AOISS are used to focus on prevention of fatal work-related injuries in Alaska. These data allow us to focus on industries, workers, causes, and risk factors for injuries for priority setting and further prevention research. These files contain data on: Functional/Health Status; Age/Gender; Other demographic/sociocultural; and Other (Industry; Occupation; weather; narrative data on circumstances of injury).
RACE/ETHNICITY: Race:White; Black; Asian, Pacific Islander; Alaska Native; Other non-white; Unknown. Ethnicity: Not identified.
DATA LIMITATIONS: Currently limited to mortality only
STATUS: Started in January 1990, this data collection activity is active.
HOW TO ACCESS DATA: Tabulations provided. No information identifying an individual patient is released.
CONTACT PERSON: CAPT Jan C.Manwaring, MPH
4230 University Drive, Grace Hall, Suite #310
jcm3@cdc.gov
TITLE: Alaska Trauma Registry, Work-Related Injury Surveillance
DESCRIPTION: The Alaska Trauma Registry (ATR) collects data from all hospitalized traumatic injuries that are admitted to any of the 24 hospitals in Alaska. The Alaska State Department of Health and Social Services, Division of Public Health, Section of Community Health and Emergency Medical Services administer the ATR with assistance from NIOSH focusing on work-related injury surveillance. Each hospital identifies cases and abstracts information from the patient's medical record. ATR cases are identified by a discharge diagnosis ICD-9-CM "N code" ranging from 800 through 995.99 and they have to be either admitted to a hospital in Alaska, transferred to another hospital and admitted, or have expired in the hospital emergency department. The abstracted information is then sent to the Alaska Department of Health and Social Services to be entered into the Alaska Trauma Registry computer database. Data are currently available for the period 1991 through 1999. Data in the ATR surveillance system are used to focus on nonfatal work-related injuries in Alaska. These data allow us to focus on industries, workers, and causes of injuries for priority setting and further injury prevention research.
These files contain data on: Functional/Health Status; Age/Gender; Other demographic/sociocultural; and Other (industry; narrative data on occupation and circumstances of injury).
RACE/ETHNICITY: Race categories are: White; Black; American Indian, non-Alaskan; Alaska Native; Asian, Pacific Islander; and Unknown.
Ethnicity categories are: White non-Hispanic; White Hispanic; Black non-Hispanic; and Black Hispanic.
DATA LIMITATIONS: Race is not stated in approximately 4% of the records
STATUS: Started in January 1991, this data collection activity is active
HOW TO ACCESS DATA: Tabulations provided. No information identifying an individual patient is released
CONTACT PERSON: Brad Husberg
bjh9@cdc.gov
TITLE: Coal Workers' X-Ray Surveillance Program
ACRONYM: CWXSP
DESCRIPTION: The Coal Workers' X-Ray Surveillance Program provides respiratory health screening and surveillance to monitor trends in coal workers' pneumoconiosis in U.S. miners. This program contributes surveillance data for prevention activities to reduce the burden of coal workers' pneumoconiosis and related lung diseases. Methods of data collection for this system include:
a CDC/ATSDR Employee
These files contain data on: Other socio-demographic variables collected in this system that may explain racial and/or ethnic disparities include:
RACE/ETHNICITY: Race and/or Ethnicity data available. These categories include: American Indian or Alaskan Native; Asian or Pacific Islander; Black, Not Hispanic Origin; Hispanic; White; and Not Hispanic Origin.
CONTACT PERSON: E. Lee Petsonk, M.D.
LPetsonk@cdc.gov
TITLE: Fatality Assessment and Control Evaluation
ACRONYM: FACE
DESCRIPTION: The Fatality Assessment and Control Evaluation (FACE) surveillance system contains first reports of traumatic occupational fatalities in 15 states obtained through multiple sources of notification including death certificates, coroner and medical examiner reports, OSHA, law enforcement, the media, and other injury surveillance systems. Data are collected by 15 state programs funded through five-year cooperative agreements with NIOSH. FACE programs are housed within state departments of health, departments of labor, and universities. Data are currently available for the period 1990 through 1997. Because of varying funding cycles, not all states have yet contributed five years of data, nor are the data limited to the 15 states now being funded. The data in the FACE surveillance system allow description of the nature and magnitude of traumatic occupational fatalities and are used to set research and prevention priorities within the 15 program states. Because the FACE data are submitted monthly and include detailed narratives describing injury circumstances, they are used by NIOSH researchers to identify emerging injury hazards in the workplace.
The FACE program also maintains supplemental data files that contain information on fatalities for which a site investigation was conducted. Active emphasis areas include machinery-related fatalities, fatal falls from elevations, and logging-related incidents. Supplemental files cover employer characteristics, safety programs, worker training, use of personal protective equipment, environmental and site conditions, machinery maintenance, and other factors.
Files contain data on: Functional/Health Status; Age/ Gender; Other Demographic/Sociocultural; Other (narrative data on occupation; industry; cause of death; circumstances of injury).
RACE/ETHNICITY: Race categories are: White; Black; Native American; Asian or Pacific Islander; and Other. Ethnicity: Hispanic; Non-Hispanic; and Unknown.
DATA LIMITATIONS: Currently, FACE first reports are limited to 15 states. Participating states change from year to year because states enter and leave the program based on competition for funding.
STATUS: Started in January 1990, data collection is active, with data submitted electronically each month by participating states.
START DATE: January 1990
HOW TO ACCESS DATA: Tabulations provided. Data are not published or released in any format that would allow identification of an individual.
CONTACT PERSON: Stephanie G. Pratt
1095 Willowdale Rd., Mailstop P-180
sgp2@cdc.gov
TITLE: Hearing Conservation and Audiometric Database Analysis System
ACRONYM: HC&ADBA
DESCRIPTION: The HC&ADBA system consists of databases containing audiograms and collateral information gathered from government agencies and from corporations. The databases, collected as the result of collaborations between NIOSH and the other organizations, have been used to assess the effectiveness of hearing conservation programs for the design of a template to be applied for the collection of new data. This is a pilot surveillance system. Methods of data collection for this system include batch file transfer of data. Data are originally collected by HC&ADBA research partners. No frequency of data collection activities specified.
RACE/ETHNICITY: HC&ADBA does not collect race and/or ethnicity data directly. Most data sets in the HC&ADBA come from corporations which do not collect race and/or ethnicity data. If a contributed data set contains race and ethnicity data, the information will be maintained in the database.
HOW TO ACCESS DATA: CDC internal use files only. Interpreted results can be accessed through peer reviewed journals only.
CONTACT PERSON: John R. Franks, Ph.D.
jrf3@cdc.gov
TITLE: National Agricultural Workers Survey (NAWS) Youth Injury and Farm Worker Health Supplement
ACRONYM: NAWS
DESCRIPTION: The National Agricultural Workers Survey (NAWS) Youth Injury and Farm Worker Health Supplement is a special survey conducted jointly by the U.S. Department of Labor (USDOL) and the National Institute for Occupational Safety and Health (NIOSH) using the existing USDOL NAWS survey. The survey collects information on: farm-related injuries occurring to the youth (<20 years of age) of farm workers in the United States; farm-related injuries to farm workers less than 20 years of age; farm-related injuries to farm workers 20 years of age and older; and the occupational health for all farm workers in the sample. Survey data are collected on a sample of approximately 4,000 farm workers across the United States using personal interviews. Data from the NAWS Youth Injury and Farm Worker Health Supplement allow for the description of the nature and magnitude of farm-related injuries occurring to the youth of farm workers, as well as provide descriptive information on the occupational health status of farm workers in the United States. Data will be used to generate hypotheses for further research in the area of youth injury prevention and occupational health promotion in this special population.
These files contain data on: Functional/Health Status; Socioeconomic; Age/Gender; Other Demographic/Sociocultural; and Other (narrative data on circumstances of injury).
RACE/ETHNICITY: Race categories are: White; Black; Asian; Pacific Islander; and Other. Ethnicity categories are: Mexican; Puerto Rican; Central/South American; Other Hispanic; Non-Hispanic; and Unknown.
DATA LIMITATIONS: Data are based on a probability sample and may have small cell counts for certain variables collected by the survey.
STATUS: Started in October 1998, data collection will continue through September of 2004. Occupational health information will be available for all 6-years of data collection. Injury information will be available from October 1998 through September 1999, and October 2001 through September 2004
HOW TO ACCESS DATA: Access to the first year of data should be directed to: Daniel Carroll, Division of Program, Office of the Assistant Secretary for Policy, US Department of Labor, 200 Constitution Avenue NW, Washington, DC 20210; Telephone (202) 693-5077.
In obtaining data through the DOL, the National Institute for Occupational Safety and Health has agreed to follow all policies established by DOL for the release of data. Data will not be published/released in any format that would allow identification of an individual.
CONTACT PERSONS: John Myers
1095 Willowdale Road
JRMyers@cdc.gov
Toni Alterman or Andrea Steege
4676 Columbia Parkway
TAlterman@cdc.gov / ASteege@cdc.gov
TITLE: National Coal Workers' Autopsy Study
ACRONYM: NCWAS
DESCRIPTION: The National Coal Workers' Autopsy Study assists in the conduct of research for both the pathogenesis and epidemiology of coal workers' pneumoconiosis and silicosis. The NCWAS also provides forensic assistance in the investigation of coal mine fatalities, and medical evidence for deceased miners' families. In addition, this program also contributes to monitoring of trends in coal workers' pneumoconiosis and related diseases.
Files contain data on: Other socio-demographic variables collected in this system that may explain racial and/or ethnic disparities include:
RACE/ETHNICITY: Race and/or Ethnicity data available. These categories include: American Indian or Alaskan Native; Asian or Pacific Islander; Black, not Hispanic origin; Hispanic; White, and Not Hispanic Origin.
CONTACT PERSON: E. Lee Petsonk
TITLE: National Occupational Mortality Surveillance System (NOMS)
ACRONYM: NOMS
DESCRIPTION: The purpose of the data system is to provide a resource for surveillance and research in occupational health. The data apply to all decedents in the States providing data to the system. The States are not consistent from year to year. Data collection was instituted in 1979. Presently the system contains data from 1979 through 1999, with yearly additions of data through this period. The database is a nonrandom sample of the United States. Through 1999, the database contains about 24% of the U.S. deaths, with a total sample size of about 10,600,000 deaths. Substantially fewer states are providing data for years after 1999. Cause of death, occupational, and demographic information is collected for all ages, including State, county and city identifiers. For most States, the death certificate information is collected and coded by state health departments and provided to the National Center for Health Statistics (NCHS). NCHS edits the data and provides it to the National Institute for Occupational Safety and Health (NIOSH) and the National Cancer Institute. A few States have provided the data directly to NIOSH. The record unit is the decedent. Information is available about 2 years after data collection.
Files contain data on: Functional/Health Status; Socio-economic; Age/Gender; Other Demographic/ Sociocultural.
Additional information collected for the decedent which may help explain racial or ethnic disparities includes: date and place of death, cause of death, sex, age, marital status, state of birth, place of residence, occupation, industry, and education.
RACE/ETHNICITY: The race/ethnicity coding scheme varies across the project years. For all years, the following race/ethnicity categories exist: White; Black; American Indian (includes American, Alaskan, Canadian, Eskimao, and Aleut); Chinese; Japanese; Hawaiian; Filipino; Other Asian or Pacific Islander; and Other.
For 1979-1988 the category "All Other Races" was used. Additional codes added after 1988 are: Asian Indian; Korean; Samoan; Vietnamese; Guamanian.
In addition, there is a Hispanic Origin and an Hispanic Origin/Race recode in the database after 1988.
Hispanic Origin coding after 1988: Non-Hispanic; Mexican; Puerto Rican; Cuban; Central or South American; Other and Unknown Hispanic; Hispanic Origin Unknown.
Hispanic Origin/Race recode after 1988: Mexican; Puerto Rican; Cuban; Central or South American; Other and Unknown Hispanic; Non-Hispanic White; Non-Hispanic Black; Non-Hispanic Other Races; Hispanic Origin Unknown.
Race or ethnicity is identified from the death certificate. Through 1998 the number of deaths by major race or ethnicity group is as follows:
White 8,785,347
Black 1,136,545
American Indian 40,628
Chinese 10,296
Japanese 12,837
Hawaiian 5,205
Filipino 7,232
Other Asian/P.I. 14,223
All Other 639
DATA LIMITATIONS: The Hispanic data (1989 on) are not satisfactory for all States.
STATUS: Starting in January 1979 to December 1979. Ongoing
HOW TO ACCESS DATA: Public use files, usable without restrictions. There is no case identification information available.
CONTACT PERSON: James T. Walker, Ph.D.
National Institute for Occupational Safety and Health Mailstop R-18, 4676 Columbia Pkwy.
jtw1@cdc.gov
TITLE: National Surveillance of Nonfatal Occupational Injury
ACRONYM: NEISS
DESCRIPTION: The U.S. Consumer Product Safety Commission (CPSC) developed and maintains the National Electronic Injury Surveillance System (NEISS) which collects information on consumer product-related injuries in a nationally representative probability sample of 101 hospital 24-hr emergency departments (ED). In collaboration with the National Institute for Occupational Safety and Health (NIOSH), CPSC collects injury information on civilian work-related injuries treated in 67 hospital emergency departments (a sub-sample of the 101 NEISS hospitals) regardless of consumer product involvement. The NEISS work-related injury information is used to obtain a national overview of nonfatal occupational injuries, to study specific types of injuries, to study specific worker populations, and to meet a variety of other occupational injury research needs.
These files contain data onFunctional/Health Status, Age/Gender, Other (injury characteristics, location, and narrative data on industry and circumstances of injury)
RACE/ETHNICITY: Race categories are: White; Black; Other (additional information may be included in a free-text field); and Not stated. Ethnicity categories are: May be included in a free-text field for Race = Other.
DATA LIMITATIONS: Not all participating hospitals collect race information on admissions/ED forms (approximately 20% of cases Race = not stated). Data are based on a probability sample and may have small cell counts for certain variables collected by the survey.
STATUS: Data collection began in October 1995 and is ongoing for all work-related non-fatal injuries regardless of consumer product involvement or age. Limited data are available on special populations (e.g., adolescents and older workers) for portions of 1992 through 1995.
START DATE: October 1995
HOW TO ACCESS DATA: Tabulations provided NIOSH follows all conditions of the Privacy Act and the Consumer Product Safety Act to protect individual identity/medical information and product information as established by the policies and procedures of CPSC for the release of data. Data will not be published/released in any format that would allow identification of an individual.
CONTACT PERSON: Larry L. Jackson
1095 Willowdale Road, Mail Stop P-180
lcj7@cdc.gov
TITLE: National Surveillance System for Pneumoconiosis Mortality
ACRONYM: NSSPM
DESCRIPTION: The purpose of this surveillance system is to provide a resource for surveillance and research in pneumoconiosis. The data are based on pneumoconiosis mortality data obtained annually from the National Center for Health Statistics since 1968. This system consists of several types of pneumoconiosis listed as underlying or contributing cause on the death certificates: coal workers' pneumoconiosis, asbestosis, silicosis, byssinosis, pneumoconiosis due to inhalation of other dust, and pneumoconiosis unspecified. Presently a total of 121,982 decedents with pneumoconiosis are coded for the NSSPM from 1968 through 1999.
These files contain data on: Causes of Death; Age/Gender; Other Demographic; Usual Occupation and Industry since 1985 (from approximately 26 states). No information on occupation and industry is available prior to 1985.
RACE/ETHNICITY: Race: White; Black; Asian-Pacific; Other Ethnicity: Mexican; Puerto Rican; Cuban; Central/South American; Non-Hispanic; and Other or Unknown.
STATUS: Started in 1995; continuous (annual) data collection; active.
HOW TO ACCESS DATA: Public use SAS data sets for NIOSH users on the SUN 6000 system in Morgantown. Data subsets provided by special request.
There is no case identification information available.
CONTACT PERSON: John M. Wood
jwood@cdc.gov
TITLE: National Traumatic Occupational Fatalities Surveillance System
ACRONYM: NTOF
DESCRIPTION: The National Traumatic Occupational Fatalities (NTOF) surveillance system is a death certificate-based census of occupational injury deaths. Death certificates are obtained from the 50 States, New York City, and the District of Columbia for decedents ages 16 years or older with an external cause of death (ICD-9, E800-E999) and for whom the certifier noted a positive response to the "Injury at Work?" item. Data are currently available for the period 1980 through 1998. Data for 1998 exclude New York State.
Data for 1999 will be added by the end of calendar year 2002. The data in the NTOF surveillance system allow description of the nature and magnitude of traumatic occupational fatalities and are used to set research and prevention priorities. These data also generate hypotheses for further research and support the analysis of narrative data.
These files contain data on: Functional/Health Status; Socioeconomic; Age/Gender; Other Demographic/ Sociocultural; and Other (narrative data on occupation; industry cause of death; circumstances of injury).
RACE/ETHNICITY: Race categories are: White; Black/Negro; Native American; Asian, Pacific Islander; and Other.
Ethnicity categories are: Mexican; Puerto Rican; Central/South American; Other Hispanic; Non-Hispanic; and Unknown.
DATA LIMITATIONS: The race/ethnicity coding scheme applies only to NTOF data for the year 1990 and forward.
STATUS: Started in January 1980, this periodic (annual) data collection is active.
HOW TO ACCESS DATA: Tabulations provided. In obtaining data from state vital records offices, the National Institute for Occupational Safety and Health has agreed to refer any requests for case-specific information back to the States. Data are not published/released in any format that would allow identification of an individual.
CONTACT PERSON: Suzanne M. Marsh
1095 Willowdale Rd., Mailstop 1808
smm2@cdc.gov
TITLE: Sentinel Event Notification Systems for Occupational Risks - Silicosis
ACRONYM: SENSOR Silicosis
DESCRIPTION: This system compiles information about cases of silicosis identified by two currently participating states--New Jersey and Ohio. Silicosis is an occupationally-related dust-induced lung disease. Case ascertainment methods vary by state but generally include the following sources: hospital discharge diagnoses, physician reports, Workers' Compensation, and death certificates. The SENSOR program links case findings to prevention/intervention activities. NIOSH has recently begun to electronically aggregate SENSOR silicosis data across the participating states. Data are currently available from NIOSH for SENSOR silicosis cases identified from 1993-1995. States submit data to NIOSH a variable number of years following initial case ascertainment to enable states to complete their case and workplace follow-up activities.
Computerized information
RACE/ETHNICITY: Race categories are: American Indian/Alaskan Native, Asian/Pacific Islander, Black, White, Other, Don't know. Hispanic Ethnicity: Yes, No, Don't know
CONTACT PERSON: Margaret Filios
MSF0@cdc.gov
TITLE: Sentinel Event Notification Systems for Occupational Risks - Work-Related Asthma
ACRONYM: SENSOR WRA
DESCRIPTION: This system compiles information about cases of work-related asthma identified in four states--California, Massachusetts, Michigan, and New Jersey. Case ascertainment methods vary by state but generally include the following sources: physician reports and hospital discharge diagnoses. The SENSOR program links case findings to prevention/intervention activities. NIOSH has recently begun to electronically aggregate SENSOR WRA data across the participating states. Data are currently available from NIOSH for SENSOR work-related asthma cases identified from 1993-1995. States submit data to NIOSH a variable number of years following initial case ascertainment to enable states to complete their case and workplace follow-up activities.
Other socio-demographic variables collected in this system that may explain racial and/or ethnic disparities include:
Race and ethnicity information are self-defined by the case-individual through the patient interview process.


text:
Yup, it's part of Deskpass. Try it for free
Work Better Wall St
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redpajama_set_name: RedPajamaCommonCrawl


text:
package ddd.support.domain.protocol

import ddd.support.domain.Message

case object Acknowledged

case class Acknowledged(msg: Message)

redpajama_set_name: RedPajamaGithub


Launched in 2014, the European Rover Challenge is one of the biggest international space and robotics event in the world. This international robotics competition brings together teams from over 65 teams from 20 countries spanning the globe to compete in tasks analogous to those performed by rovers on the surface of Mars and the Moon.
The ERC acts as a platform to present and evaluate potential technical solutions in the tasks inspired by plans and scenarios of developing NASA and ESA robotics missions.


SUBSTITUTE Tafadzwa Chitukutuku scored a memorable brace to help Herentals come from two goals behind to stun and grab a point against Yadah FC in a Castle Lager Premier league match at Rufaro Stadium yesterday.
It took just 11 minutes for the dominant Yadah side to take a deserved lead when Simbarashe Sithole scrambled the ball home inside a crowded box following a corner by Leeroy Murape.
Willard Kalongonda then doubled the lead 10 minutes after the breather with an easy tap-in after being set up by Ralph Matema.
At this point, the game looked dead and buried for Herentals, and as a last resort, they threw in Chitukutuku on the 69th minute to replace Archmore Majarira.
Still it looked beyond the striker's abilities as the game went into the referees' optional time, with Yadah comfortably leading.
Chitukutuku kick-started the comeback a minute into added time when he capitalised on Yadah's defensive mix-up and hit the back of the net with a firm shot from inside the penalty box.
Bouyed by the goal, Herentals pushed numbers forward and with the Yadah defence still shell-shocked and obviously in panic mode, 45-year Innocent Benza collected possession and passed to Chitukutuku who calmly put the ball into the back of the net again with a few seconds remaining on the clock to send his team into delirium.
Herentals coach Kumbirai Mutiwekuziva was a relieved man when the final whistle was blown.
"Miracles do happen in football. Fighting spirit, determination and at the same time hard work propelled us to get the draw. We were two goals down for the entire 90 minutes. Just to get two goals in the added minute is just amazing. Our game changer Tafadzwa Chitukutuku did an amazing job for us today. We are celebrating the draw as a victory due to the nature of the game. We did not play very well, " he admitted.
Yadah's Coach Thomas Ruzive was disappointed with the end result as his team were the dominant side in the game.
"I think the guys played very well, but lost concentration in the last minutes. It is very disappointing because we were dominating the whole game and in the last few minutes we lost concentration. The defenders slept on the wheel. I am very disappointed because we could have collected maximum points," he said.
Yadah FC: S Chimusoro, W Kalongonda, B Mapfumo, A Makopa, L Zvasiya, E Karembo, L Murape, B Chikwenya, S Sithole, R Matema( W Kaseke, 89'), M Masuyakuvi ( J Chitereki , 75').
He is a good player, this Herentals super sub.


text:
Rudolf Thieme (* 7. Juni 1925) ist ein ehemaliger deutscher Fußballspieler. In der Saison 1950/51 spielte er für Rotation Dresden in der DDR-Oberliga, der höchsten Spielklasse im DDR-Fußball.

Sportliche Laufbahn
Rudolf Thieme gewann mit der SG Dresden-Mickten 1949 den sächsischen Fußballpokal und 1950 die Fußballmeisterschaft in Sachsen. Im Entscheidungsspiel um die 1950er Meisterschaft gegen die SG Lauter schoss er als rechter Flügelstürmer das 1:0 beim 3:1-Sieg. In der anschließenden Aufstiegsrunde, in deren Verlauf die SG Mickten in die Betriebssportgemeinschaft (BSG) Sachsenverlag Dresden eingegliedert wurde, war Thieme bei den 21 erzielten Toren ebenfalls mit einem Treffer beteiligt. Die Dresdner gewannen die Aufstiegsrunde und stiegen damit in die DDR-Oberliga auf. Sie traten zu Beginn der Saison 1950/51 unter dem neuen Namen BSG Rotation an und hatten Rudolf Thieme mit im Kader. Er wurde auch im ersten Punktspiel zuhause gegen Rotation Babelsberg wieder als Rechtsaußen eingesetzt und erzielte beim 1:1-Unentschieden den Ausgleichstreffer für Dresden. Bis zum 6. Spieltag wurde er noch viermal als Mittelfeldspieler aufgeboten, danach kam er nur noch einmal am 25. Spieltag zum Einsatz. In der folgenden Saison stand Rudolf Thieme nicht mehr im Aufgebot von Rotation Dresden und spielte auch später nicht mehr im höherklassigen Fußball.

Literatur
 Hanns Leske: Enzyklopädie des DDR-Fußballs. Verlag Die Werkstatt, Göttingen 2007, ISBN 978-3-89533-556-3, S. 491.
 Andreas Baingo, Michael Horn: Die Geschichte der DDR-Oberliga. 2. Auflage. Verlag Die Werkstatt, Göttingen 2004, ISBN 3-89533-428-6, S. 307.
 DSFS (Hrsg.): DDR-Chronik – DDR-Fußball 1949–1991 (Band 8). Berlin 2011.

Weblinks

Fußballspieler (SG Dresden-Mickten)
Fußballspieler (SC Einheit Dresden)
Fußballspieler (DDR)
Deutscher
DDR-Bürger
Geboren 1925
Mann

redpajama_set_name: RedPajamaWikipedia


Apartments Lifestyle offers accommodation in Novalja. Free private parking is available on site. The accommodation is equipped with a flat-screen TV. There is also a kitchen, equipped with an oven and fridge. Each unit is fitted with a private bathroom with a bath or shower. Towels and bed linen are available. Zadar Airport is 62 km from the property.
Please inform Apartments Lifestyle in advance of your expected arrival time. You can use the Special Requests box when booking, or contact the property directly with the contact details provided in your confirmation.
A damage deposit of EUR 180 is required on arrival. This will be collected as a cash payment. You should be reimbursed on check-out. Your deposit will be refunded in full in cash, subject to an inspection of the property.


text:
The Only Living Snowflake In New Hampshire
This tree has been decorated the last 4 years.
Mud Season has arrived in New Hampshire, and the snow pretty much gone. But as NHPR's Sean Hurley tells us, there's one final snowflake in the forest near his home that won't be melting any time soon.
A few years back, while walking the path around Smarts Brook with my family shortly before Christmas, we came upon a group of men decorating a tree in the forest.
Credit Sean Hurley
We came upon this group decorating a tree in 2016.
Ornaments in hand, John Norman and Mike Boisvert told us they were hoping to spread a little holiday cheer.
"Maybe people will add to this one," John Norman said. "Or maybe the tree next to it will start getting decorated and we'll have a little Christmas tree decorated forest," Mike Boisvert added.
"It will be like three trees, four trees, five trees decorated in this area," John Norman said. "We'll start a new tradition out here."
In fact, two trees were decorated in the forest that year - the following year, there were three. Were John and Mike onto something, I wondered? Maybe - this past winter there were four.
This year there were 4 trees decorated in Smarts Brook.
As an almost daily visitor to Smarts Brook, I began to hope there might be five. If I could happen upon a group decorating a 5th tree, maybe I could do a follow-up story that spoke to this idea of a growing tradition at Smarts Brook…
But there was no 5th tree and after the holiday passed, I began to hope that I might luck upon some group taking their ornaments down. Because that was another thing. After the initial wild tree decorating story aired there'd been a number of people critical of such antics – a suggestion that these dreamy decorators would never return to undreamily undecorate their trees.
Day after day, I roved the path, and one by one the trees were un-adorned, the decorations taken down…and I missed all the action.
But then - and only because the 4 trees had become so familiar to me by that point – I noticed there was a single ornament remaining on the 4th and furthest away tree – a silvery snowflake left on a branch. Accidentally forgotten – or had someone left it on purpose, I wondered?
A single silver snowflake - left behind on purpose or forgotten?
As I continued to regularly pass the tree and snowflake I soon realized I'd turned it into a glass half empty, glass half full kind of question. On gloomier days I was sure the snowflake was forgotten. On happier ones, I knew it was left on purpose and I liked to consider what seemed an arising difference…decorating a tree is one thing. Leaving an ornament behind, another. As decorator Mike Boisvert had told me, "What's kind of nice about it is someone is doing it on behalf of not really themselves but for other people."
But leaving a single ornament behind, if that's what happened, something no one would see - spoke to a shift in intent. From public to private. From a thing left for other people – to something left for oneself.
Sometime in late March, on a particularly dark, glass half-empty sort of day, I decided to take the snowflake down. It was hung not by hook but instead was wrapped by rusty wire to its branch…and though I didn't feel any moodshift, a little water must have fallen into my glass – as I soon find myself rewrapping the little wire around a lower branch. Instead of removing it – I rehung the snowflake.
Nothing happened for the next week or so – and then something.
Someone else – the original decorator I thought it must be - had come along and moved the snowflake. I undid the wire and rehung it elsewhere on the tree. And in this way a game of sorts had begun…a kind of wordless messaging between two strangers.
And then it was gone...
And then finally just this past week, as the real snowflakes melted from the forest and the ice disappeared from the trail, the silver ornament of this last snowflake was removed. The game was over.
That part of it anyway – because there's a new game afoot now. Whoever played the snowflake game with me is, I'm sure, sometimes, somewhere in these woods. And no matter my mood, every stranger I see now on the trail adds a little drop of water to my sometimes half empty glass.
Was it you? I wonder.
Arts & Culture Christmas TreesSean Hurley


Your commitment and eager to please attitude is a breath of fresh air. You are aware of our business and the energy with which we convey our beliefs about customer service and how it impacts on the brand of a company. Although we expect the highest standards in ourselves and others when it comes to business, occasionally we are disappointed.
An example of this was our IT system, installed by another provider, which was not delivering the results we would expect. We needed help… fast!
From the very outset you demonstrated an understanding of our predicament. Issues were pinpointed quickly and problems disappeared immediately. The IT issues were explained in plain English and you made every effort to signpost exactly what you were doing and why. Your commitment and eager to please attitude is a breath of fresh air.
We will definitely recommend you and the service you provide and are pleased to be an advocate of your business.


text:
In Memoriam: Dr. Andrew John Bandstra (1926-2019)
News, In Memoriam
Andrew Bandstra, professor emeritus of New Testament theology at Calvin Theological Seminary, was a loving and dedicated family man and committed friend. Bandstra died on Feb. 8 at the age of 92.
The youngest of nine children, Bandstra was born on a farm in Iowa. He attended Central College in Pella, Iowa, where he was on the football team. He also studied at Calvin College and Seminary and the Vrije Universiteit in Amsterdam, the Netherlands. He served in the armed forces in World War II.
After ordination in 1955, Bandstra pastored Lincoln Center Christian Reformed Church in Grundy Center, Iowa, before becoming a professor, first at Calvin College and then at Calvin Theological Seminary. He is remembered as an excellent and engaging teacher and preacher. He also served the church locally and at the denominational level and participated on boards of Christian schools and other community endeavors.
At his memorial service his daughters mentioned three things their father loved: "He loved having fun, he loved people, and he loved words." He enjoyed the opportunity to celebrate, a great game of golf, and relating to and cherishing every person he met. Known for his big smile, hearty laugh, and counselor's heart, Bandstra touched the lives of countless people.
He will be missed by his second wife, Ruth Ann; four daughters and their spouses; seven step-children and their spouses; and many grandchildren and great-grandchildren whom he rocked, held, loved, and supported. He was predeceased by his first wife, Mae Ruth, in 2007 and by his daughter Ruth Ann in 2018.
In Memoriam: Rev. Jacob Kuntz (1926-2019)
In Memoriam: Rev. John Koopmans (1927-2019)
In Memoriam: Rev. John Gerald Klomps (1934-2019)
In Memoriam: Rev. Bernard J. Niemeyer (1926-2020)
IN MEMORIAM: Rev. Gerrit Heersink October 24, 1926 – May 12, 2012


text:
Canucks: Projecting Production of 2021-22 New Additions
October 13, 2021 October 13, 2021 by Sartaaj Bhullar
The Vancouver Canucks have made multiple key additions this past offseason. The team made a big trade with the Arizona Coyotes, adding Conor Garland and Oliver Ekman-Larsson for Loui Eriksson, Antoine Roussel, Jay Beagle, and three draft picks. They also made a trade with the Dallas Stars for Jason Dickinson. The Canucks have rookie Vasili Podkolzin joining the team this year while they signed defenceman Tucker Poolman. Here is how all five players should fair in their first season with the club.
Garland was one of the biggest additions to the Canucks' roster this past offseason. A few days later, the 25-year-old signed a five-year extension with an average annual value of $4.95 million.
Conor Garland, former Arizona Coyotes (Amy Irvin / The Hockey Writers)
With the Coyotes, he's posted 47 goals and 96 points through 164 games. He produced at a first-line rate in each of his first three seasons while the Coyotes ranked in the bottom five in the league for goals for per game throughout his career (from 'Canucks continue to go all in: Inside the Braden Holtby buyout and Conor Garland extension,' The Athletic, July 27, 2021). What makes Garland impressive is his goal-scoring production at five-on-five would lead all Canucks players over the past three seasons.
His production should increase with an offensive Canucks team, especially since he will get an opportunity to play with talented forwards in Elias Pettersson, Bo Horvat, J.T. Miller and Brock Boeser. In each of his three seasons, Garland was on pace to score 20+ goals in a full 82 game season, the highest being a 27 goal pace in the 2019-20 season. He has the potential to finish with 25+ goals at the very least. Meanwhile, his points per game pace have also increased. In 2018-19, he was on pace to post 31 points, then in 2019-20, he was on pace to post 47 points and finally, he was on pace to post 65 points last season. It is fair to expect him to be on pace to reach the 60 point mark with the Canucks this season.
Projection: 29 goals, 35 assists, 64 points
Joining Garland from Arizona was Ekman-Larsson. The 11-year veteran has slowed down in recent years, which made his addition a controversial one. Along with his decline in production, he came with a pretty high cap hit of $8.250 million, which the Coyotes retained 12% of.
Oliver Ekman-Larsson, former Arizona Coyotes (Amy Irvin / The Hockey Writers)
Still, some believe the fresh start in Vancouver could lead to a potential bounce back for him in the short term, at the very least. Most players see a decline at 30 years old, which is the age of the veteran defenceman, but there are a few cases where a declining defenceman sees a resurgence in their play at the age. The Athletic's Harman Dayal uses a few blueliners who bounced back, including Drew Doughty, Kevin Shattenkirk and Alex Martinez (from 'The case for an Oliver Ekman-Larsson bounce back and what could Bo Horvat's next contract look like? Canucks mailbag,' The Athletic, September 17, 2021). Dayal also uses P.K. Subban as an example of a player who's declined and continues to slip. The Canucks are hoping Ekman-Larsson follows the footsteps of the others and not Subban's.
Related: Vancouver Canucks 2021-22 Season Preview Section
Ekman-Larsson will be playing in a top-four role alongside Tyler Myers and on the power play. He will likely be expected to produce from the blue line while he and Myers will be used as the go-to d-pairing at five-on-five. He will also play on the second power-play unit, as Quinn Hughes will continue to quarterback the first unit, which means there could be a slight dip in his offensive production.
Outside of his career-high 55 points in 75 games in the 2015-16 season, Ekman Larsson has scored at close to a .5 point per game rate. He's seen a dip in his goals production over the past two seasons as well, scoring nine goals in 2019-20 and three goals in 2020-21. If he does see a bounce back this season, he could score close over 10 goals.
Projections: 11 goals, 31 assists, 42 points
Entering his rookie season with the Canucks is Vasily Podkolzin. The 2019 first-round pick joins the team after spending the last two seasons with the KHL's SKA Saint Petersburg, where he played limited minutes. With the Canucks this season, he will start off by playing on the fourth line. The team likely expects the forward to ease himself in and get comfortable with the NHL game. Podkolzin slowly found his game throughout the preseason, as he showed off his skills and IQ in the second half. As the season goes on, he could find himself in the team's top six while playing on the power play. He should be able to net 10+ goals and finish with close to 30 points.
The Canucks traded a 2021 third-round pick to the Dallas Stars for Dickinson. Dickinson will take on the role as the team's third-line centreman. Not much should be expected from the 26-year-old center on the offensive end, as he does his best work on the defensive end.
Jason Dickinson, traded to VAN, is an all-defence middle six forward who had some of the best scoring chance suppression numbers in the league this year. #Canucks pic.twitter.com/CBPISwtuAt
— JFresh (@JFreshHockey) July 17, 2021
Along with his shutdown role at 5-on-5, he should be used on the penalty kill. He averaged 1:41 time on ice while shorthanded with the team in 2020-21. In the last two seasons, he's been on pace to reaching the 10 goal mark through 82 games. In 2019-20, he was on pace to post 26 points, and last season, he was on pace to post 24 points. Seeing Dickinson finish with 20+ points is likely, while he nears the 10 goals marking.
Projection: 9 goals, 13 assists, 22 points
Poolman is more of a shutdown defender than an offensive blueliner. Throughout his three seasons with the Winnipeg Jets, Poolman posted five goals and 19 points through 120 games. Aside from the 2019-20 season, where he scored four goals and posted 16 points, he has struggled to put up points. In his rookie season, he scored a goal and registered one assist through 24 games, while last season, he had an assist through 39 games. He should be an important piece on the team's penalty kill this season.
Projection: 3 goals, 8 assists, 11 points
Canucks New Pieces Should Improve Team
Garland, Ekman-Larsson, Podkolzin, Dickinson and Poolman should improve different aspects of the Canucks this season. Garland should be a key piece of the team's top six as he improves the club's top-six. Ekman-Larsson's potential bounce-back season would give the Canucks a mobile blue line, and if he regains his form in the defensive end, he can form a shutdown d-pairing with Poolman.
Podkolzin has the potential of being a key piece to the franchise's success, and if he gets used to the NHL quickly, he can have a better season than expected. Meanwhile, Dickinson and Poolman should be helpful in the defensive end and on the penalty kill. Nonetheless, the team's newest addition should improve the Canucks' performance after a disappointing 2020-21 season.
Sartaaj Bhullar
Sartaaj has been watching hockey for over 15 years and covers the Vancouver Canucks for The Hockey Writers.
Categories Vancouver Canucks Tags Conor Garland, Jason Dickinson, Oliver Ekman-Larsson, Vasily Podkolzin


Liz Walker is a Senior Pastor for the Historic Roxbury (MA) Presbyterian Church with five videos in the C-SPAN Video Library; the first appearance was a 1986 House Committee as an Anchor for the WBZ-TV (Boston, MA). The year with the highest average number of views per program was 2013 with an average of 3,771 views per program. Most appearances with William "Bill" F. Weld (2), Thomas M. Menino (2). Most common tag: Massachusetts.