The Influence of Average Temperature and Relative Humidity on New Cases of COVID-19: Time-Series Analysis.

ABSTRACT:

Background

The influence of meteorological factors on the transmission and spread of COVID-19 is of interest and has not been investigated.

Objective

This study aimed to investigate the associations between meteorological factors and the daily number of new cases of COVID-19 in 9 Asian cities.

Methods

Pearson correlation and generalized additive modeling (GAM) were performed to assess the relationships between daily new COVID-19 cases and meteorological factors (daily average temperature and relative humidity) with the most updated data currently available.

Results

The Pearson correlation showed that daily new confirmed cases of COVID-19 were more correlated with the average temperature than with relative humidity. Daily new confirmed cases were negatively corr

SUBMITTER: He Z 

PROVIDER: S-EPMC7836910 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature