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Kaplan-Meier type survival curves for COVID-19: a health data based decision-making tool | | J.M. Calabuig
; L.M. García-Raffi
; A. García-Valiente
; E.A. Sánchez-Pérez
; | | Date: |
12 May 2020 | | Abstract: | Countries are recording health information on the global spread of COVID-19
using different methods, sometimes changing the rules after a few days. They
are all publishing the number of new individuals infected, cured and dead,
along with some supplementary data. These figures are often recorded in a
non-uniform manner and do not match the standard definitions of these
variables. However, in this paper we show that the Kaplan-Meier curves
calculated with them could provide useful information about the dynamics of the
disease in different countries. Our aim is to present a robust and simple model
to show certain characteristics of the evolution of the dynamic process,
showing that the differences of evolution among the countries is reflected in
the corresponding Kaplan-Meier-type curves. We compare the curves obtained for
the most affected countries so far, proposing possible interpretations of the
properties that distinguish them. | | Source: | arXiv, 2005.6032 | | Services: | Forum | Review | PDF | Favorites | |
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