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Willie Brown

Biographic Data

ID6077679
NAMEWillie Brown
GIVEN NAMESWillie
FAMILY NAMEBrown
SIGNATUREBROWN W
AFFILIATIONSGuangqing Chi is with the Department of Agricultural Economics, Sociology, and Education, the Population Research Institute, and the Social Science Research Institute, Pennsylvania State University, University Park. Willie Brown is with the Information Technology Laboratory, United States Army Engineer Research and Development Center, Vicksburg, MS. Xiang Zhang and Yanbing Zheng are with the Department of Statistics, University of Kentucky, Lexington.
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS18
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2015
LATEST PUBLICATION YEAR2019
H-INDEX1
  • Growth and Persistence of Place-Based Mortality in the United States

    Arthur G Cosby, M Maya McDoom-Echebiri et al.•ARTICLE•American Journal of Public Health•2019•Cited by: 17•References: 18

    Objectives. To examine 47 years of US urban and rural mortality trends at the county level, controlling for effects of education, income, poverty, and race. Methods. We obtained (1) Centers for Disease Control and Prevention WONDER (Wide-ranging ONline Data for Epidemiologic Research) data (1970–2016) on 104 million deaths; (2) US Census data on education, poverty, and race; and (3) Bureau of Economic Analysis data on income. We calculated ordina…

  • Safer Roads Owing to Higher Gasoline Prices

    G Chi, Willie Brown et al.•ARTICLE•American Journal of Public Health•2015•Cited by: 1•References: 33

    Objectives. We investigated how much time passes before gasoline price changes affect traffic crashes. Methods. We systematically examined 2004 to 2012 Mississippi traffic crash data by age, gender, and race. Control variables were unemployment rate, seat belt use, alcohol consumption, climate, and temporal and seasonal variations. Results. We found a positive association between higher gasoline prices and safer roads. Overall, gasoline prices af…

  • Growth and Persistence of Place-Based Mortality in the United States

    Arthur G Cosby, M Maya McDoom-Echebiri et al.•ARTICLE•American Journal of Public Health•2019•Cited by: 17•References: 18

    Objectives. To examine 47 years of US urban and rural mortality trends at the county level, controlling for effects of education, income, poverty, and race. Methods. We obtained (1) Centers for Disease Control and Prevention WONDER (Wide-ranging ONline Data for Epidemiologic Research) data (1970–2016) on 104 million deaths; (2) US Census data on education, poverty, and race; and (3) Bureau of Economic Analysis data on income. We calculated ordina…

  • Safer Roads Owing to Higher Gasoline Prices

    G Chi, Willie Brown et al.•ARTICLE•American Journal of Public Health•2015•Cited by: 1•References: 33

    Objectives. We investigated how much time passes before gasoline price changes affect traffic crashes. Methods. We systematically examined 2004 to 2012 Mississippi traffic crash data by age, gender, and race. Control variables were unemployment rate, seat belt use, alcohol consumption, climate, and temporal and seasonal variations. Results. We found a positive association between higher gasoline prices and safer roads. Overall, gasoline prices af…

  • Safer Roads Owing to Higher Gasoline Prices

    G Chi, Willie Brown et al.•ARTICLE•American Journal of Public Health•2015•Cited by: 1•References: 33

    Objectives. We investigated how much time passes before gasoline price changes affect traffic crashes. Methods. We systematically examined 2004 to 2012 Mississippi traffic crash data by age, gender, and race. Control variables were unemployment rate, seat belt use, alcohol consumption, climate, and temporal and seasonal variations. Results. We found a positive association between higher gasoline prices and safer roads. Overall, gasoline prices af…

  • Growth and Persistence of Place-Based Mortality in the United States

    Arthur G Cosby, M Maya McDoom-Echebiri et al.•ARTICLE•American Journal of Public Health•2019•Cited by: 17•References: 18

    Objectives. To examine 47 years of US urban and rural mortality trends at the county level, controlling for effects of education, income, poverty, and race. Methods. We obtained (1) Centers for Disease Control and Prevention WONDER (Wide-ranging ONline Data for Epidemiologic Research) data (1970–2016) on 104 million deaths; (2) US Census data on education, poverty, and race; and (3) Bureau of Economic Analysis data on income. We calculated ordina…

Demography (2 works) · Economics (2 works) · Environmental health (2 works) · Medicine (2 works) · Race (biology) (2 works) · Affect (linguistics) (1 works) · Census (1 works) · Consumption (sociology) (1 works) · Crash (1 works) · Demographic economics (1 works)

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