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_22
Snippet: The copyright holder for this preprint Regression interpolation showed that the weather two weeks ago was correlated with the confirmed new case counts in a most reasonable manner for temperature, relative humidity, and visibility. The effects of all these four factors on confirmed new cases 14 days later all exhibited a parabolic or bell-shaped trend ( Figure 1 ). Thus, in the following analyses, epidemiological data were correlated with the wea.....
Document: The copyright holder for this preprint Regression interpolation showed that the weather two weeks ago was correlated with the confirmed new case counts in a most reasonable manner for temperature, relative humidity, and visibility. The effects of all these four factors on confirmed new cases 14 days later all exhibited a parabolic or bell-shaped trend ( Figure 1 ). Thus, in the following analyses, epidemiological data were correlated with the weather data 14 days ago.
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