Nonlinear modulation of COVID-19 transmission by climate conditions

Meng Gao; Qiming Zhou; Xian Yang; Qingxiang Li; Shiqing Zhang; Ken Kin Lam Yung; Yike Guo

doi:10.1002/met.1985

Nonlinear modulation of COVID-19 transmission by climate conditions

Meng Gao
, Qiming Zhou
, Xian Yang
, Qingxiang Li
, Shiqing Zhang
, Ken Kin Lam Yung
, Yike Guo

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Research output: Contribution to journal › Article › peer-review

Abstract

COVID-19 is spreading rapidly worldwide, posing great threats to public health and economy. This study aims to examine how the transmission of COVID-19 is modulated by climate conditions, which is of great importance for better understanding of the seasonal feature of COVID-19. Constrained by the accurate observations we can make, the basic reproduction numbers (R0) for each country were inferred and linked to temperature and relative humidity (RH) with statistical analysis. Using R0 as the measure of COVID-19 transmission potential, we find stronger transmission of COVID-19 under mildly warm (0°C < T 60%) climate conditions, while extremely low (T 20°C) temperature or a dry climate (RH

Original language	Undefined
Article number	e1985
Journal	Meteorological Applications
Volume	28
Issue number	2
Early online date	23 Mar 2021
DOIs	https://doi.org/10.1002/met.1985
Publication status	Published - 23 Mar 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1002/met.1985

Cite this

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title = "Nonlinear modulation of COVID-19 transmission by climate conditions",

abstract = "COVID-19 is spreading rapidly worldwide, posing great threats to public health and economy. This study aims to examine how the transmission of COVID-19 is modulated by climate conditions, which is of great importance for better understanding of the seasonal feature of COVID-19. Constrained by the accurate observations we can make, the basic reproduction numbers (R0) for each country were inferred and linked to temperature and relative humidity (RH) with statistical analysis. Using R0 as the measure of COVID-19 transmission potential, we find stronger transmission of COVID-19 under mildly warm (0°C < T 60\%) climate conditions, while extremely low (T 20°C) temperature or a dry climate (RH ",

author = "Meng Gao and Qiming Zhou and Xian Yang and Qingxiang Li and Shiqing Zhang and Yung, \{Ken Kin Lam\} and Yike Guo",

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AU - Gao, Meng

AU - Zhou, Qiming

AU - Yang, Xian

AU - Li, Qingxiang

AU - Zhang, Shiqing

AU - Yung, Ken Kin Lam

AU - Guo, Yike

PY - 2021/3/23

Y1 - 2021/3/23

N2 - COVID-19 is spreading rapidly worldwide, posing great threats to public health and economy. This study aims to examine how the transmission of COVID-19 is modulated by climate conditions, which is of great importance for better understanding of the seasonal feature of COVID-19. Constrained by the accurate observations we can make, the basic reproduction numbers (R0) for each country were inferred and linked to temperature and relative humidity (RH) with statistical analysis. Using R0 as the measure of COVID-19 transmission potential, we find stronger transmission of COVID-19 under mildly warm (0°C < T 60%) climate conditions, while extremely low (T 20°C) temperature or a dry climate (RH

AB - COVID-19 is spreading rapidly worldwide, posing great threats to public health and economy. This study aims to examine how the transmission of COVID-19 is modulated by climate conditions, which is of great importance for better understanding of the seasonal feature of COVID-19. Constrained by the accurate observations we can make, the basic reproduction numbers (R0) for each country were inferred and linked to temperature and relative humidity (RH) with statistical analysis. Using R0 as the measure of COVID-19 transmission potential, we find stronger transmission of COVID-19 under mildly warm (0°C < T 60%) climate conditions, while extremely low (T 20°C) temperature or a dry climate (RH

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