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The effect of temperature, humidity, precipitation and cloud coverage on the risk of COVID-19 infection in temperate regions of the USA-A case-crossover study.
Jansson, Moritz K; Yamamoto, Shelby.
Afiliação
  • Jansson MK; Institute of Medical Microbiology, Virology and Hygiene, University Medicine Rostock, Rostock, Germany.
  • Yamamoto S; School of Public Health, Edmonton Clinic Health Academy, University of Alberta, Edmonton, Alberta Canada.
PLoS One ; 17(9): e0273511, 2022.
Article em En | MEDLINE | ID: mdl-36107871
ABSTRACT

BACKGROUND:

Observations based on the spread of SARS-CoV-2 early into the COVID-19 pandemic have suggested a reduced burden in tropical regions leading to the assumption of a dichotomy between cold and dry and wet and warm climates.

OBJECTIVES:

Analyzing more than a whole year of COVID-19 infection data, this study intents to refine the understanding of meteorological variables (temperature, humidity, precipitation and cloud coverage) on COVID-19 transmission in settings that experience distinct seasonal changes. METHODS AND

FINDINGS:

A time stratified case-crossover design was adopted with a conditional Poisson model in combination with a distributed lag nonlinear model to assess the short-term impact of mentioned meteorological factors on COVID-19 infections in five US study sites (New York City (NYC); Marion County, Indiana (MCI); Baltimore and Baltimore County, Maryland (BCM); Franklin County, Ohio (FCO); King County, Washington (KCW)). Higher-than-average temperatures were consistently associated with a decreased relative risk (RR) of COVID-19 infection in four study sites. At 20 degrees Celsius COVID-19 infection was associated with a relative risk of 0.35 (95%CI 0.20-0.60) in NYC, 1.03 (95%CI0.57-1.84) in MCI, 0.34 (95%CI 0.20-0.57) in BCM, 0.52 (95%CI 0.31-0.87) in FCO and 0.21 (95%CI 0.10-0.44) in KCW. Higher-than-average humidity levels were associated with an increased relative risk of COVID-19 infection in four study sites. Relative to their respective means, at a humidity level of 15 g/kg (specific humidity) the RR was 5.83 (95%CI 2.05-16.58) in BCM, at a humidity level of 10 g/kg the RR was 3.44 (95%CI 1.95-6.01) in KCW.

CONCLUSIONS:

The results of this study suggest opposed effects for higher-than-average temperature and humidity concerning the risk of COVID-19 infection. While a distinct seasonal pattern of COVID-19 has not yet emerged, warm and humid weather should not be generally regarded as a time of reduced risk of COVID-19 infections.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Clinical_trials / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Clinical_trials / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article