Kaplan-Meier Type Survival Curves for COVID-19: A Health Data Based Decision-Making Tool.

ABSTRACT: Countries are recording health information on the global spread of COVID-19 using different methods, sometimes changing the rules after a few days. All of them are publishing the number of new individuals infected, recovered and dead individuals, along with some supplementary material. These data are often recorded in a non-uniform manner and do not conform the standard definitions of these variables. In this paper we show that, using data from the first wave of the epidemic (February-June), Kaplan-Meier curves calculated with them could provide useful information on the dynamics of the disease in different countries. We developed our scheme based on the cumulative total number of infected, recovered and dead individuals provided by the countries. We present a robust and simple model to sh

SUBMITTER: Calabuig JM 

PROVIDER: S-EPMC8572972 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature