Weather variability and transmissibility of COVID-19: a time series analysis based on effective reproductive number
| Title: | Weather variability and transmissibility of COVID-19: a time series analysis based on effective reproductive number |
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| Authors: | Xiaohan Si, Hilary Bambrick, Yuzhou Zhang, Jian Cheng, Hannah McClymont, Michael B. Bonsall, Wenbiao Hu, Michael Nevels |
| Source: | Experimental Results, Vol 2 (2021) |
| Publisher Information: | Cambridge University Press, 2021. |
| Publication Year: | 2021 |
| Collection: | LCC:Technology LCC:Medicine LCC:Science |
| Subject Terms: | weather factors, COVID-19, effective reproductive number, time series regression model, Technology, Medicine, Science |
| More Details: | COVID-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. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 2516-712X |
| Relation: | https://www.cambridge.org/core/product/identifier/S2516712X21000046/type/journal_article; https://doaj.org/toc/2516-712X |
| DOI: | 10.1017/exp.2021.4 |
| Access URL: | https://doaj.org/article/af96454919734c55a533830f38741882 |
| Accession Number: | edsdoj.f96454919734c55a533830f38741882 |
| Database: | Directory of Open Access Journals |
| ISSN: | 2516712X |
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| DOI: | 10.1017/exp.2021.4 |
| Published in: | Experimental Results |
| Language: | English |