Author: Gil Caspi; Uri Shalit; Soren Lund Kristensen; Doron Aronson; Lilac Caspi; Oran Rossenberg; Avi Shina; Oren Caspi
Title: Climate effect on COVID-19 spread rate: an online surveillance tool Document date: 2020_3_30
ID: mdyojac2_25
Snippet: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.03.26.20044727 doi: medRxiv preprint Climate variables such as precipitation, morning and evening humidity, and wind speed did not display a significant correlation with both RR and RoS (Figure 4 To examine the correlation with alternative parameters that might affect the RR or RoS we tested the correlation between country population size an.....
Document: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.03.26.20044727 doi: medRxiv preprint Climate variables such as precipitation, morning and evening humidity, and wind speed did not display a significant correlation with both RR and RoS (Figure 4 To examine the correlation with alternative parameters that might affect the RR or RoS we tested the correlation between country population size and the degree of disease spread (Supplementary Table 1 ). Both RR and RoS did not correlate with country population size. In addition, there was no significant difference between country population size in "cold" climate and "warm" climate countries. Finally, the number of COVID-19 tests taken may affect disease All rights reserved. No reuse allowed without permission.
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