Weather variability and transmissibility of COVID-19: a time series analysis based on effective reproductive number

Author:

Si XiaohanORCID,Bambrick Hilary,Zhang Yuzhou,Cheng Jian,McClymont HannahORCID,Bonsall Michael B.,Hu WenbiaoORCID

Abstract

AbstractCOVID-19 is causing a significant burden on medical and healthcare resources globally due to high numbers of hospitalisations and deaths recorded as the pandemic continues. This research aims to assess the effects of climate factors (i.e., daily average temperature and average relative humidity) on effective reproductive number of COVID-19 outbreak in Wuhan, China during the early stage of the outbreak. Our research showed that effective reproductive number of COVID-19 will increase by 7.6% (95% Confidence Interval: 5.4% ~ 9.8%) per 1°C drop in mean temperature at prior moving average of 0–8 days lag in Wuhan, China. Our results indicate temperature was negatively associated with COVID-19 transmissibility during early stages of the outbreak in Wuhan, suggesting temperature is likely to effect COVID-19 transmission. These results suggest increased precautions should be taken in the colder seasons to reduce COVID-19 transmission in the future, based on past success in controlling the pandemic in Wuhan, China.

Publisher

Cambridge University Press (CUP)

Reference29 articles.

1. A likelihood-based method for real-time estimation of the serial interval and reproductive number of an epidemic;Forsberg White;Statistics in Medicine,2008

2. Association between ambient temperature and COVID-19 infection in 122 cities from China;Zhu;Science of the Total Environment,2020

3. Serial interval of novel coronavirus (COVID-19) infections;Nishiura;International Journal of Infectious Diseases,2020

4. ARIMA models for predicting the end of COVID-19 pandemic and the risk of second rebound;Malki;Neural Computing and Applications,2020

5. The effect of latitude and PM2.5 on spreading of SARS-CoV-2 in tropical and temperate zone countries;Chennakesavulu;Environmental Pollution,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3