Predicting COVID-19 Peaks Around the World

Título

Predicting COVID-19 Peaks Around the World

Autor

Constantino Tsallis, Ugur Tirnakli

Descripción

The official data for the time evolution of active cases of COVID-19 pandemics around the world are available online. For all countries, a peak has been either observed (China and South Korea) or is expected in the near future. The approximate dates and heights of those peaks have important epidemiological implications. Inspired by similar complex behavior of volumes of transactions of stocks at the NYSE and NASDAQ, we propose a q-statistical functional form that appears to describe satisfactorily the available data for all countries. Consistently, predictions of the dates and heights of those peaks in severely affected countries become possible unless efficient treatments or vaccines, or sensible modifications of the adopted epidemiological strategies, emerge.

Fecha

2020

Materia

Epidemiology, complex systems, nonextensive statistical mechanics, Pandemics, COVID-19

Identificador

DOI: 10.3389/fphy.2020.00217

Fuente

Frontiers in Physics

Editor

Frontiers Media S.A.

Cobertura

Physics

Archivos

https://socictopen.socict.org/files/to_import/pdfs/5013055.pdf

Colección

Citación

Constantino Tsallis, Ugur Tirnakli, “Predicting COVID-19 Peaks Around the World,” SOCICT Open, consulta 18 de abril de 2026, https://socictopen.socict.org/items/show/3451.

Formatos de Salida

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