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The Feasibility of Conducting Epidemiologic Studies of Populations Residing Near Hazardous Waste Disposal Sites
Published in Frederick C. Kopfler, Gunther F. Craun, Environmental Epidemiology, 2019
Gary M. Marsh, Richard J. Caplan
The utility of ecologic analysis for evaluating health effects at hazardous waste sites depends heavily upon the availability of published summary data on exposure and/or health outcome that are specific for an appropriate unit of analysis. The National Priority List data bases and the centralized toxicological data banks, for example, are national-level data repositories that may provide useful summary data on potential exposure specific to geographic areas that contain toxic waste sites. On the other hand, the availability and accessibility of ecologic (or individual) data on health outcomes relevant to waste site studies vary according to geographic area and type of outcome. Also, the National Center for Health Statistics (NCHS) publishes summary vital statistics data collected through states on numerous topics. This is a particularly good source for determination of state, metropolitan, and national birth and death rates. Moreover, much of the NCHS data is available at the detailed individual record level on magnetic tapes, which can be purchased through the National Technical Information Service [26].
Environmental Disease
Published in Gary S. Moore, Kathleen A. Bell, Living with the Earth, 2018
Gary S. Moore, Kathleen A. Bell
The rate of Americans diagnosed with cancer and dying from it continue to decline. The results published in 2017 represent a collaboration of several agencies including the ACS, The NCI, The Centers for Disease Control and Prevention (CDC), including the National Center for Health Statistics (NCHS). The data on cancer incidence was generated from the NCI’s Surveillance Epidemiology and End Results (SEER) program representing 39 states’ cancer registries and 89 percent of the U.S. population, for cancer diagnoses between 1999 and 2013.77 The data on cancer deaths comes from the NCHS’s National Vital Statistics System, which collects death certificates from every state, including information of age, sex, and race/ethnicity. This data covered the years 2000–2014.
COVID-19 impact on excess deaths of various causes in the United States
Published in Annals of GIS, 2022
Akhil Kumar, Yogya Kalra, Weihe Wendy Guan, Vansh Tibrewal, Rupali Batta, Andrew Chen
The data that was used in this study was acquired from the Centers for Disease Control and Prevention’s (CDC) National Center for Health Statistics (NCHS), which includes the National Vital Statistics System (NVSS) that has the mortality statistics and access to the CDC WONDER data platform. Within the WONDER system, this study used the underlying causes of death for 1999–2019 by bridged-race categories (Centers for Disease Control and Prevention 2020a). The data for 2020 is provisional and was acquired from data.cdc.gov within the NCHS data platform (National Center for Health Statistics 2021). The linkage between 1999–2019 and 2020 data was done through the ICD-10 codes provided by the CDC. See Table 1 for reference. The natural cause of death was excluded as no ICD-10 code was present and COVID-19 was only present in 2020 data files.
Effect modification of ambient particle mortality by radon: A time series analysis in 108 U.S. cities
Published in Journal of the Air & Waste Management Association, 2019
Annelise J. Blomberg, Brent A. Coull, Iny Jhun, Carolina L.Z. Vieira, Antonella Zanobetti, Eric Garshick, Joel Schwartz, Petros Koutrakis
Daily mortality data through 2006 were obtained from the National Center for Health Statistics (NCHS), and data after 2006 were acquired from individual state departments of public health. We analyzed nonaccidental deaths due to all causes and specific diseases among individuals who resided in the city where they died. Outcomes were classified by the International statistical Classification of Disease, 10th revision (ICD-10), codes as follows: all causes (A00–R99), cardiovascular diseases (I01–I59), and respiratory diseases (J00–J99) (World Health Organization 2004). The proportion of residents over age 65 was obtained from the 2014 American Community Survey (U.S. Census Bureau 2016b), as was the percentage of all people whose income is below the poverty level (U.S. Census Bureau 2016a). Current cigarette use among adults was obtained from the 2016 Behavior Risk Factor Surveillance System (BRFSS) survey data for the year 2016 (Centers for Disease Control and Prevention [CDC] 2018).
NIOSH’s Respiratory Health Division: 50 years of science and service
Published in Archives of Environmental & Occupational Health, 2018
Kristin J. Cummings, Doug O. Johns, Jacek M. Mazurek, Frank J. Hearl, David N. Weissman
Population surveillance to track the burden of work-related respiratory disease and occupational respiratory hazards in the US has been an important component of RHD efforts. These efforts have complemented, built upon, and added unique value to the surveillance activities carried out by many states, the National Center for Health Statistics (NCHS), and other federal agencies, including the Bureau of Labor Statistics (BLS), OSHA, and MSHA. Examples of large data sets that have been used by RHD include the National Health and Nutrition Examination Survey (NHANES), Behavioral Risk Factor Surveillance System (BRFSS) Asthma Call-back Survey (ACBS), and large data sets collected for administrative purposes (e.g., Centers for Medicare and Medicaid Services claims; OSHA enforcement inspections data, MSHA coal mine inspector and mine operator dust data). Large data sets collected from these and other sources have been enhanced to improve specificity in identifying factors associated with occupational respiratory diseases. The occurrence of specific diseases has been described with regard to worker demographic characteristics, industry, occupation, geography, and temporal trends. The distribution and trends in occupational exposures to agents causing respiratory diseases also have been described.