Correlation Between Local Air Temperature and the COVID-19 Pandemic in Hubei, China

Copyright © 2021 Hu, Xiao, Zhu, Zhu and Liu..

Objective: To clarify the correlation between temperature and the COVID-19 pandemic in Hubei. Methods: We collected daily newly confirmed COVID-19 cases and daily temperature for six cities in Hubei Province, assessed their correlations, and established regression models. Results: For temperatures ranging from -3.9 to 16.5°C, daily newly confirmed cases were positively correlated with the maximum temperature ~0-4 days prior or the minimum temperature ~11-14 days prior to the diagnosis in almost all selected cities. An increase in the maximum temperature 4 days prior by 1°C was associated with an increase in the daily newly confirmed cases (~129) in Wuhan. The influence of temperature on the daily newly confirmed cases in Wuhan was much more significant than in other cities. Conclusion: Government departments in areas where temperatures range between -3.9 and 16.5°C and rise gradually must take more active measures to address the COVID-19 pandemic.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:8

Enthalten in:

Frontiers in public health - 8(2020) vom: 31., Seite 604870

Sprache:

Englisch

Beteiligte Personen:

Hu, Cheng-Yi [VerfasserIn]
Xiao, Lu-Shan [VerfasserIn]
Zhu, Hong-Bo [VerfasserIn]
Zhu, Hong [VerfasserIn]
Liu, Li [VerfasserIn]

Links:

Volltext

Themen:

COVID-19
Climate and health
Daily new confirmed infections
Infectious disease
Journal Article
Temperature
Weather-outbreak correlation

Anmerkungen:

Date Completed 22.02.2021

Date Revised 22.02.2021

published: Electronic-eCollection

Citation Status MEDLINE

doi:

10.3389/fpubh.2020.604870

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM320980294