In:
PLOS Neglected Tropical Diseases, Public Library of Science (PLoS), Vol. 15, No. 2 ( 2021-2-24), p. e0009056-
Abstract:
While many studies have focused on identifying the association between meteorological factors and the activity of COVID-19, we argue that the contribution of meteorological factors to a reduction of the risk of COVID-19 was minimal when the effects of control measures were taken into account. In this study, we assessed how much variability in COVID-19 activity is attributable to city-level socio-demographic characteristics, meteorological factors, and the control measures imposed. We obtained the daily incidence of COVID-19, city-level characteristics, and meteorological data from a total of 102 cities situated in 27 provinces/municipalities outside Hubei province in China from 1 January 2020 to 8 March 2020, which largely covers almost the first wave of the epidemic. Generalized linear mixed effect models were employed to examine the variance in the incidence of COVID-19 explained by different combinations of variables. According to the results, including the control measure effects in a model substantially raised the explained variance to 45%, which increased by 〉 40% compared to the null model that did not include any covariates. On top of that, including temperature and relative humidity in the model could only result in 〈 1% increase in the explained variance even though the meteorological factors showed a statistically significant association with the incidence rate of COVID-19. In conclusion, we showed that very limited variability of the COVID-19 incidence was attributable to meteorological factors. Instead, the control measures could explain a larger proportion of variance.
Type of Medium:
Online Resource
ISSN:
1935-2735
DOI:
10.1371/journal.pntd.0009056
DOI:
10.1371/journal.pntd.0009056.g001
DOI:
10.1371/journal.pntd.0009056.g002
DOI:
10.1371/journal.pntd.0009056.t001
DOI:
10.1371/journal.pntd.0009056.t002
DOI:
10.1371/journal.pntd.0009056.t003
DOI:
10.1371/journal.pntd.0009056.t004
DOI:
10.1371/journal.pntd.0009056.t005
DOI:
10.1371/journal.pntd.0009056.s001
DOI:
10.1371/journal.pntd.0009056.s002
DOI:
10.1371/journal.pntd.0009056.s003
DOI:
10.1371/journal.pntd.0009056.s004
DOI:
10.1371/journal.pntd.0009056.s005
DOI:
10.1371/journal.pntd.0009056.s006
DOI:
10.1371/journal.pntd.0009056.s007
DOI:
10.1371/journal.pntd.0009056.r001
DOI:
10.1371/journal.pntd.0009056.r002
DOI:
10.1371/journal.pntd.0009056.r003
DOI:
10.1371/journal.pntd.0009056.r004
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2021
detail.hit.zdb_id:
2429704-5