“…While much has been written about the pandemic’s short-term impacts, this study analyzes anticipated long-term impacts on the labor force of 2029 by comparing original 2029 labor projections to special COVID-adjusted projections recently published by the US Bureau of Labor Statistics. …”
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“…This is a retrospective observational study using the repeated-cross sectional data (n = 14548; unweighted) using the US Census Bureau’s Household Pulse Survey from July 2021 to March 2022. …”
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“…Demographic data from Statistics Canada and the U.S. Census Bureau to 2060 are adjusted for COVID-19 age-group-specific mortality and then projected forward in five-year increments. …”
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“…METHODS: Subjects were at least 25 years old and without lung cancer at enrollment in the United States Census Bureau’s National Longitudinal Mortality Survey in 1995–2008. …”
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“…Race and ethnicity are reported separately. We used U.S. Census Bureau statistics and the Texas Department of State Health Services statistics to determine the crude (unadjusted) and adjusted procedure rates of patients undergoing MBS. …”
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“…We investigate the association between neighborhood social disadvantage and the ability to socially distance, infections, and mortality in Spring 2020. We combine Census Bureau and NYC open data with SARS-CoV-2 testing data using supervised dimensionality-reduction with Bayesian Weighted Quantile Sums regression. …”
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“…FUNDING: Henry Fok Foundation and Hong Kong Health Bureau.…”
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“…This research linked CRC mortality data obtained from the National Cancer Institute with data from the United States Census Bureau, the Centers for Disease Control and Prevention, and the National Solar Radiation Database to examine geographic and racial/ethnic differences, and develop a spatial regression model that adjusted for several factors that may attribute to health disparities among ethnic/racial groups. …”
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“…Regional variables were retrieved from the National Bureau of Statistics database. Both unadjusted and adjusted methods were considered in the analyses. …”
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“…A neighborhood SES score was calculated for each patient using data from the United States Census Bureau and patients were grouped by high vs. low SES neighborhoods. …”
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“…The current study seeks to describe organisational as well as clinical and patient related factors across ten PICU's in and outside the Amsterdam region, adjusted for or stratified by level of urbanization. …”
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“…Maps were developed to provide graphical display of the data. All analyses were adjusted for the complex census design and analytical weights provided by the Census Bureau. …”
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“…METHODS: Weighted data on self-reported CVD and several SES measures were analyzed for 5,417 Indigenous and 15,432 non-Indigenous adults aged 18-64 years from two nationally representative surveys conducted in parallel by the Australian Bureau of Statistics in 2004-05. RESULTS: After adjusting for age and sex, self-reported CVD prevalence was generally higher among those of lower SES in both the Indigenous and non-Indigenous populations. …”
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“…Incremental Cost-Effectiveness Ratios (ICERs) below A$50 000 per Disability Adjusted Life Year (DALY) averted are considered good value for money. …”
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“…We compared APIs' age-adjusted cancer mortality rates to other racial/ethnic groups and by API subgroup (i.e., Chinese, Koreans, Asian Indians, and Filipinos) using New York City (NYC) Mortality data and Census Bureau population estimates for 2001–2010. …”
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“…METHODS AND RESULTS: This retrospective cohort study included patients with a diagnosis of CVD, CAD, or PAD from the database contained in the Taiwan National Health Insurance Bureau during 2001–2004. A total of 19954 patients were enrolled in this study. …”
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“…We used as the independent variable the Bureau of Labor Statistics unadjusted total state employment series. …”
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“…Incidence and mortality rates were age-adjusted and presented by population group (Jews/Arabs) and gender. …”
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“…We calculated the data on cost from the perspective of our National Health Insurance Bureau. Sensitivity analyses were conducted to determine the impact of several variables. …”
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“…Using surveillance data from the Wisconsin Department of Health Services, Division of Public Health and the US Census Bureau, this cross-sectional study determined the intersectional effect of poverty, home ownership, and racial/ethnic composition on childhood lead exposure in Milwaukee County neighborhoods using linear regression adjusting for average census tract housing age and number of children. …”
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