On the lag between deaths and infections in the first phase of the Covid-19 pandemic
Abstract
One of the key issues in fighting the current pandemic, or the ones to come, is to obtain objective quantitative indicators of the effectiveness of the measures taken to contain the epidemic. The aim of this work is to point out that the lag between the daily number of infections and casualties provides one such indicator. For this we determined the lag during the first phase of the Covid-19 pandemic for a series of countries using the data available at the server of the John Hopkins University using three different methods. Somewhat surprisingly, we find a lag varying substantially between countries, taking negative values (thus the maximum daily number of casulties preceding the maximum daily namber of new infections) in countries where no steps to contain the epidemic have been taken at the outset, with an average lag of 7 ± 0.3 days. Our results can be useful to health authorities in a search for the best strategy to fight the epidemic.
Key Messages
The lags between the maximum daily infections and casualties during the first phase of the Covid-19 pandemic differ widely between countries.
These lags are clear for some countries, but impossible to determine confidently for most.
In some countries the day at which the maximal number of daily deaths is attained precedes the day of the maximal number of casualties, indicating a failure to protect the most vulnerable part of the population.
The lags can serve as an objective quantitative measure of the effectiveness of the measures taken to contain the epidemic.
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