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Dataset Information

Association between ambient temperature and COVID-19 infection in 122 cities from China.


ABSTRACT:

Background

Coronavirus disease 2019 (COVID-19) has become a severe public health problem globally. Both epidemiological and laboratory studies have shown that ambient temperature could affect the transmission and survival of coronaviruses. This study aimed to determine whether the temperature is an essential factor in the infection caused by this novel coronavirus.

Methods

Daily confirmed cases and meteorological factors in 122 cities were collected between January 23, 2020, to February 29, 2020. A generalized additive model (GAM) was applied to explore the nonlinear relationship between mean temperature and COVID-19 confirmed cases. We also used a piecewise linear regression to determine the relationship in detail.

Results

The exposure-response curves suggested that

SUBMITTER: Xie J 

PROVIDER: S-EPMC7142675 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature