Author: Alessio Notari
Title: Temperature dependence of COVID-19 transmission Document date: 2020_3_30
ID: 0oma7hdu_8
Snippet: We analyzed two datasets. A first list of countries was selected on March 26th. Using such datasets for α and T for each country, we fit with two functions α(T ), as explained in the next section. Note that the statistical errors on the α parameters, considering Poissonian errors on the daily counting of cases, are typically much smaller than the spread of the values of α among the various countries. This is due to systematic effects, which a.....
Document: We analyzed two datasets. A first list of countries was selected on March 26th. Using such datasets for α and T for each country, we fit with two functions α(T ), as explained in the next section. Note that the statistical errors on the α parameters, considering Poissonian errors on the daily counting of cases, are typically much smaller than the spread of the values of α among the various countries. This is due to systematic effects, which are dominant, as we will discuss later on. For this reason we disregarded statistical errors on α. The analysis was done using the software Mathematica, from Wolfram Research, Inc..
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