Author: Biqing Chen; Hao Liang; Xiaomin Yuan; Yingying Hu; Miao Xu; Yating Zhao; Binfen Zhang; Fang Tian; Xuejun Zhu
Title: Roles of meteorological conditions in COVID-19 transmission on a worldwide scale Document date: 2020_3_20
ID: 3svnvozz_49
Snippet: It might explain why the predicted values for Wuhan and countries other than China correlated with the observed data much better than those for Chinese cities other than Wuhan. Future research should investigate the epidemiological data more carefully and thoroughly to distinguish imported cases and local transmission. A final prediction model is proposed in the current study, which is easy to use for estimating the future 14-day epidemic trend o.....
Document: It might explain why the predicted values for Wuhan and countries other than China correlated with the observed data much better than those for Chinese cities other than Wuhan. Future research should investigate the epidemiological data more carefully and thoroughly to distinguish imported cases and local transmission. A final prediction model is proposed in the current study, which is easy to use for estimating the future 14-day epidemic trend of COVID-19 by using weather observations in the past two weeks. However, if strict control on population movement and clustering is implemented, the real case counts might deviate from the predicted values. is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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