Author: Gentile Francesco Ficetola; Diego Rubolini
Title: Climate affects global patterns of COVID-19 early outbreak dynamics Document date: 2020_3_27
ID: fcaeoyxd_28
Snippet: We used linear mixed models (LMMs) to relate the global variation of r 50 , r 25 and r 100 to the five environmental predictors (temperature and humidity of outbreak month; population density; health expenditure and PM2.5). To associate climate variables to the estimated r-values for each country/region, we first extracted the mean month of the 5 days over which we computed the r- 20 values (rounded to the nearest integer) (outbreak month). We th.....
Document: We used linear mixed models (LMMs) to relate the global variation of r 50 , r 25 and r 100 to the five environmental predictors (temperature and humidity of outbreak month; population density; health expenditure and PM2.5). To associate climate variables to the estimated r-values for each country/region, we first extracted the mean month of the 5 days over which we computed the r- 20 values (rounded to the nearest integer) (outbreak month). We then assigned to the r-values of each country/region the mean temperature and humidity of the month during which the outbreak occurred. Country was included as a random factor to take into account potential non-. CC-BY-NC-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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