COVID-19 Modelling: The Effects of Social Distancing

Título

COVID-19 Modelling: The Effects of Social Distancing

Autor

Oliva Bendtsen Cano, Sabrina Cano Morales, Claus Bendtsen

Descripción

The purpose of this article is to reach all those who find it difficult to become well informed about the steps that have been implemented to tackle the COVID-19 pandemic and to spark discussion and thought. Here, we use simple stochastic simulations to evaluate different approaches taken to manage the crisis. We then compare these results with updated data of what really happened in the UK and in South Africa. The initial simulations aligned well with how the pandemic has evolved throughout five months following lockdown. The models are, as expected, not fully accurate, but exact enough to be used as a guideline to the evolution of the disease in both high- and middle-income countries. This is shown through simulations formed by an open source code, which allows evaluation of the outcomes from different intervention scenarios or conditions.

Fecha

2020

Identificador

10.1155/2020/2041743

Fuente

Interdisciplinary Perspectives on Infectious Diseases

Editor

Hindawi Limited

Cobertura

Infectious and parasitic diseases

Archivos

https://socictopen.socict.org/files/to_import/pdfs/70912527e8c6807aa9d60c993f41e787.pdf

Colección

Citación

Oliva Bendtsen Cano, Sabrina Cano Morales, Claus Bendtsen, “COVID-19 Modelling: The Effects of Social Distancing,” SOCICT Open, consulta 20 de abril de 2026, https://socictopen.socict.org/items/show/7691.

Formatos de Salida

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