Kaplan-Meier type survival curves for COVID-19: a health data based decision-making tool

التفاصيل البيبلوغرافية
العنوان: Kaplan-Meier type survival curves for COVID-19: a health data based decision-making tool
المؤلفون: Calabuig, J. M., García-Raffi, L. M., García-Valiente, A., Sánchez-Pérez, E. A.
سنة النشر: 2020
المجموعة: Physics (Other)
Quantitative Biology
مصطلحات موضوعية: Quantitative Biology - Populations and Evolution, Physics - Physics and Society, 62M05, 93C95
الوصف: 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.
Comment: 12 pages, 6 figures
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2005.06032
رقم الأكسشن: edsarx.2005.06032
قاعدة البيانات: arXiv