Your browser doesn't support javascript.
Weather and COVID-19 Deaths During the Stay-at-Home Order in the United States.
J Occup Environ Med ; 63(6): 462-468, 2021 06 01.
Article in English | MEDLINE | ID: covidwho-1494061
ABSTRACT

OBJECTIVE:

To estimate the association between weather and COVID-19 fatality rates during US stay-at-home orders.

METHODS:

With a county-level longitudinal design, this study analyzed COVID-19 deaths from public health departments' daily reports and considered exposure as the 18 to 22 day-period before death. Models included state-level social distancing measures, Census Bureau demographics, daily weather information, and daily air pollution. The primary measures included minimum and maximum daily temperature, precipitation, ozone concentration, PM2.5 concentrations, and U.V. light index.

RESULTS:

A 1 °F increase in the minimum temperature was associated with 1.9% (95% CI, 0.2% to 3.6%) increase in deaths 20 days later. An ozone concentration increase of 1 ppb (part per billion) decreased daily deaths by 2.0% (95% CI, 0.1% to 3.6%); ozone levels below 38 ppb negatively correlated with deaths.

CONCLUSIONS:

Increased mobility may drive the observed association of minimum daily temperature on COVID-19 deaths.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Weather / COVID-19 Type of study: Observational study / Prognostic study Topics: Variants Limits: Humans Country/Region as subject: North America Language: English Journal: J Occup Environ Med Journal subject: Occupational Medicine / Environmental Health Year: 2021 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Weather / COVID-19 Type of study: Observational study / Prognostic study Topics: Variants Limits: Humans Country/Region as subject: North America Language: English Journal: J Occup Environ Med Journal subject: Occupational Medicine / Environmental Health Year: 2021 Document Type: Article