Your browser doesn't support javascript.
Urban environments and COVID-19 in three Eastern states of the United States.
Lee, Whanhee; Kim, Honghyok; Choi, Hayon Michelle; Heo, Seulkee; Fong, Kelvin C; Yang, Jooyeon; Park, Chaerin; Kim, Ho; Bell, Michelle L.
  • Lee W; School of the Environment, Yale University, New Haven, CT, USA.
  • Kim H; School of the Environment, Yale University, New Haven, CT, USA.
  • Choi HM; School of the Environment, Yale University, New Haven, CT, USA.
  • Heo S; School of the Environment, Yale University, New Haven, CT, USA.
  • Fong KC; School of the Environment, Yale University, New Haven, CT, USA.
  • Yang J; Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea.
  • Park C; Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea.
  • Kim H; Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea.
  • Bell ML; School of the Environment, Yale University, New Haven, CT, USA. Electronic address: michelle.bell@yale.edu.
Sci Total Environ ; 779: 146334, 2021 Jul 20.
Article in English | MEDLINE | ID: covidwho-1129186
ABSTRACT
The United States has the highest numbers of confirmed cases and deaths during the novel coronavirus disease 2019 (COVID-19) pandemic. Previous studies reported that urban residents are more vulnerable to the spread and mortality of COVID-19 than rural residents. However, the pathways through which urban environments affect COVID-19 spread and mortality are unclear. We collected daily data on the number of confirmed cases and deaths of COVID-19 from Mar. 01 to Nov. 16, 2020 for all 91 counties in New York, New Jersey, and Connecticut in the United States. We calculated the COVID-19 incidence %, daily reproduction number, and mortality %, then estimated the associations with urban environment indicators using regression models. COVID-19 outcomes were generally highest in areas with high population density, and this pattern was evident in the early period of epidemic. Among the area-level demographic variables, the percentage of Black or Hispanic residents showed the strongest positive association with COVID-19 outcomes. Higher risk of COVID-19 outcomes was also associated with higher percentage of overcrowded households, uninsured people, and income inequality. The percent elderly, sex ratio (the ratio of males to females), and greenness were negatively associated with risk of COVID-19 outcomes. The results of this study could indicate where resources are most needed.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Limits: Aged / Female / Humans / Male Country/Region as subject: North America Language: English Journal: Sci Total Environ Year: 2021 Document Type: Article Affiliation country: J.scitotenv.2021.146334

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Limits: Aged / Female / Humans / Male Country/Region as subject: North America Language: English Journal: Sci Total Environ Year: 2021 Document Type: Article Affiliation country: J.scitotenv.2021.146334