Health Reports, published by the Health Analysis Division of Statistics Canada, is a peer-reviewed journal of population health and health services research. It is designed for a broad audience that includes health professionals, researchers, policymakers, and the general public. The journal publishes articles of wide interest that contain original and timely analyses of national or provincial/territorial surveys or administrative databases. New articles are published electronically each month. Health Reports had an impact factor of 2.673 for 2014 and a five-year impact factor of 4.167. All articles are indexed in PubMed. Our online catalogue is free and receives more than 500,000 visits per year. External submissions are welcome.

Summary values of bivariate correlation of full-term list search terms to regional Lyme disease rates of model training data.

The Comprehensive Epidemiologic Data Resource (CEDR) is the U.S. Department of Energy’s (DOE) electronic database comprised of health studies of DOE contract workers and environmental studies of areas surrounding DOE facilities. DOE recognizes the benefits of data sharing and supports the public’s right to know about worker and community health risks. CEDR provides independent researchers and the public with access to de-identified data collected since the Department’s early production years. CEDR’s holdings include more than 80 studies of more than one million workers. CEDR is a national user facility, with a large audience for data that are not available elsewhere.

Most of CEDR’s holdings are derived from epidemiologic studies of DOE workers at many large nuclear weapons plants, such as Hanford, Los Alamos, Oak Ridge, Savannah River Site, and Rocky Flats. These studies primarily use death certificate information to identify excess deaths and patterns of disease among workers to determine what factors contribute to the risk of developing cancer and other illnesses. In addition, many of these studies have radiation exposure measurements on individual workers. Other CEDR collections include historical dose reconstruction studies of past offsite radiologic and chemical exposures around the nuclear weapons facilities. Now a mature system in routine operational use, CEDR’s modern, Internet-based systems respond to thousands of requests to its Web server daily.

CEDR’s library of information, reports, journal articles, and data includes nearly 10,000 citations/documents. CEDR’s bibliographic search feature allows the user to select citations or publications associated with the studies found in the CEDR library.

CEDR’s data collection -- There are two types of data derived from epidemiologic studies:

1) Analytic data files: contain the data that a researcher directly used in conducting the analyses and result in reported findings or publication in a peer-reviewed journal. CEDR’s holdings include more than 200 analytic files.

2) Working data files: files that contain the raw or unedited data from which a researcher selected variables to form an initial analytic data file set. The data in the working data files may contain errors; as such, it is recommended that they be analyzed and results interpreted with caution. There are more than 100 working data files in CEDR’s holdings.

Long-term quantitative series for 20 Latin American countries, spanning from 1960 to 2020, on the number of hospital beds, physicians, nurses and healthcare expenditure. Matus-Lopez, M. and Fernández Pérez, P. 2023. "Transformations in Latin American Healthcare: A Retrospective Analysis of Hospital Beds, Medical Doctors, and Nurses from 1960 to 2022". Journal of Evolutionary Studies in Business. The information was extracted from official reports and cross-country databases. Official reports were available in digital format in the Institutional Repository for Information Sharing (IRIS) of Pan American Health Organization (PAHO). They were summary of four-year reports on Health Conditions in the Americas (PAHO 1962, 1966, 1970, 1974, 1978, 1982, 1986, 1990, 1994, 1998, 2002a), annual reports of Basic Indicators (PAHO 2002b, 2007, 2008, 2010, 2013), Health in South America (PAHO 2012) and Core Indicators (PAHO 2016). Databases were Open Data Portal of the Pan American Health Organization (PLISA) (PAHO 2023), Core Indicator Database provided directly by PAHO (PAHO 2022), Data Portal of National Health Workforce Accounts of the World Health Organization (NHWA) (WHO 2022), and the Global Health Expenditure Database of the World Health Organization (GHED) (WHO 2023). Serie 1. Hospital Beds per 1,000 inhabitants Serie 2. Physicians per 10,000 inhabitants Serie 3. Nurses per 10,000 inhabitants Serie 4. Government spending on health, per capita. Constant US dollars of 2020 Cite as:

For more recent aggregated data reports on childhood obesity in NM, visit NM Healthy Kids Healthy Communities Program, NMDOH: https://www.nmhealth.org/about/phd/pchb/hknm/TitleChildhood Obese and Overweight Estimates, NM Counties 2016 - NMCHILDOBESITY2017SummaryCounty level childhood overweight and obese estimates for 2016 in New Mexico. *Most recent data known to be available on childhood obesity*NotesThis map shows NM County estimated rates of childhood overweight and obesity. US data is available upon request. Published in May, 2022. Data is most recent known sub-national obesity data set. If you know of another resource or more recent, please reach out. emcrae@chi-phi.orgSourceData set produced from the American Journal of Epidemiology and with authors and contributors out of the University of South Carolina, using data from the National Survey of Children's Health. Journal SourceZgodic, A., Eberth, J. M., Breneman, C. B., Wende, M. E., Kaczynski, A. T., Liese, A. D., & McLain, A. C. (2021). Estimates of childhood overweight and obesity at the region, state, and county levels: A multilevel small-area estimation approach. American Journal of Epidemiology, 190(12), 2618–2629. https://doi.org/10.1093/aje/kwab176 Journal article uses data fromThe United States Census Bureau, Associate Director of Demographic Programs, National Survey of Children’s Health 2020 National Survey of Children's Health Frequently Asked Questions. October 2021. Available from:https://www.census.gov/programs-surveys/nsch/data/datasets.htmlGIS Data Layer prepared byEMcRae_NMCDCFeature Servicehttps://nmcdc.maps.arcgis.com/home/item.html?id=80da398a71c14539bfb7810b5d9d5a99AliasDefinitionregionRegion NationallystateState (data set is NM only but national data is available upon request)fips_numCounty FIPScountyCounty NamerateRate of Obesitylower_ciLower Confidence Intervalupper_ciUpper Confidence IntervalfipstxtCounty FIPS text

This resource was retired on June 1, 2021 and is no longer updated. These data remain available to support research and development efforts. Disaster Lit®: Database for Disaster Medicine and Public Health is a dataset of links to disaster medicine and public health documents available on the Internet at no cost. Documents include expert guidelines, research reports, conference proceedings, training classes, factsheets, websites, databases, and similar materials selected from over 700 organizations for a professional audience. Materials were selected from non-commercial publishing sources and supplement disaster-related resources from PubMed (biomedical journal literature) and MedlinePlus (health information for the public).

Analysis of ‘Disaster Lit® (retired June 1, 2021)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/19f684aa-3a28-4577-bc67-27c4395b66f8 on 28 January 2022.

--- Dataset description provided by original source is as follows ---

This resource was retired on June 1, 2021 and is no longer updated. These data remain available to support research and development efforts. More information is available at https://www.nlm.nih.gov/dimrc/disasterinfo.html.

Disaster Lit®: Database for Disaster Medicine and Public Health is a dataset of links to disaster medicine and public health documents available on the Internet at no cost. Documents include expert guidelines, research reports, conference proceedings, training classes, factsheets, websites, databases, and similar materials selected from over 700 organizations for a professional audience. Materials were selected from non-commercial publishing sources and supplement disaster-related resources from PubMed (biomedical journal literature) and MedlinePlus (health information for the public).

--- Original source retains full ownership of the source dataset ---

The Canada Communicable Disease Report (CCDR) is a bilingual, peer-reviewed, open-access, online scientific journal published by the Public Health Agency of Canada (PHAC). It provides timely, authoritative and practical information on infectious diseases to clinicians, public health professionals, and policy-makers to inform policy, program development and practice.

The Canada Communicable Disease Report is a bilingual, open-access, peer-reviewed journal on the prevention and control of emerging and persistent infectious diseases.

The Canada Communicable Disease Report is a bilingual, open-access, peer-reviewed journal on the prevention and control of emerging and persistent infectious diseases.

The Canada Communicable Disease Report (CCDR) is a bilingual, peer-reviewed, open-access, online scientific journal published by the Public Health Agency of Canada (PHAC). It provides timely, authoritative and practical information on infectious diseases to clinicians, public health professionals, and policy-makers to inform policy, program development and practice.

Data availability as described in the voluntary national reviews, EMR.

Filled essential data components of LMIS records and reports in selected public health facilities of Jimma zone, 2024.

Multi variable logistic regression result on data quality for health centers of Hadiya zone southern Ethiopia 2018.

Priority maternal, newborn and child health data items for data consistency review.

Summary of various models for cov19 prediction and outcome analysis in recent reports from research and statistics.

Technical and behavioural factors of HMIS data quality in health centers of Hadiya zone, southern Ethiopia 2018.

Reporting time from the local public health agencies to the state public health agency by disease category, Germany 2012–2014.

Socio-demographic backgrounds of participants in selected public health facilities of Jimma zone, 2024.

IPVAW reports filed according to source.