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arXiv · 2005.06032

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
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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.

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J. M. Calabuig, L. M. García-Raffi, A. García-Valiente, E. A. Sánchez-Pérez. 2020-12-14. Kaplan-Meier type survival curves for COVID-19: a health data based decision-making tool. https://arxiv.org/abs/2005.06032

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