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The impact of natural disasters on the spread of COVID-19: a geospatial, agent-based epidemiology model

BACKGROUND: Natural disasters and infectious diseases result in widespread disruption to human health and livelihood. At the scale of a global pandemic, the co-occurrence of natural disasters is inevitable. However, the impact of natural disasters on the spread of COVID-19 has not been extensively e...

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Autores principales: de Vries, Maximillian Van Wyk, Rambabu, Lekaashree
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8641790/
http://dx.doi.org/10.1186/s12976-021-00151-0
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author de Vries, Maximillian Van Wyk
Rambabu, Lekaashree
author_facet de Vries, Maximillian Van Wyk
Rambabu, Lekaashree
author_sort de Vries, Maximillian Van Wyk
collection PubMed
description BACKGROUND: Natural disasters and infectious diseases result in widespread disruption to human health and livelihood. At the scale of a global pandemic, the co-occurrence of natural disasters is inevitable. However, the impact of natural disasters on the spread of COVID-19 has not been extensively evaluated through epidemiological modelling. METHODS: We create an agent-based epidemiology model based on COVID-19 clinical, epidemiological, and geographic data. We first model 35 scenarios with varying natural disaster timing and duration for a COVID-19 outbreak in a theoretical region. We then evaluate the potential effect of an eruption of Vesuvius volcano on the spread of COVID-19 in Campania, Italy. RESULTS: In a majority of cases, the occurrence of a natural disaster increases the number of disease related fatalities. For a natural disaster fifty days after infection onset, the median increase in fatalities is 2, 59, and 180% for a 2, 14, and 31-day long natural disaster respectively, when compared to the no natural disaster scenario. For the Campania case, the median increase in fatalities is 1.1 and 2.4 additional fatalities per 100,000 for eruptions on day 1 and 100 respectively, and 60.0 additional fatalities per 100,000 for an eruption close to the peak in infections (day 50). CONCLUSION: Our results show that the occurrence of a natural disaster in most cases leads to an increase in infection related fatalities, with wide variance in possible outcomes depending on the timing of the natural disaster relative to the peak in infections and the duration of the natural disaster. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12976-021-00151-0.
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spelling pubmed-86417902021-12-06 The impact of natural disasters on the spread of COVID-19: a geospatial, agent-based epidemiology model de Vries, Maximillian Van Wyk Rambabu, Lekaashree Theor Biol Med Model Research BACKGROUND: Natural disasters and infectious diseases result in widespread disruption to human health and livelihood. At the scale of a global pandemic, the co-occurrence of natural disasters is inevitable. However, the impact of natural disasters on the spread of COVID-19 has not been extensively evaluated through epidemiological modelling. METHODS: We create an agent-based epidemiology model based on COVID-19 clinical, epidemiological, and geographic data. We first model 35 scenarios with varying natural disaster timing and duration for a COVID-19 outbreak in a theoretical region. We then evaluate the potential effect of an eruption of Vesuvius volcano on the spread of COVID-19 in Campania, Italy. RESULTS: In a majority of cases, the occurrence of a natural disaster increases the number of disease related fatalities. For a natural disaster fifty days after infection onset, the median increase in fatalities is 2, 59, and 180% for a 2, 14, and 31-day long natural disaster respectively, when compared to the no natural disaster scenario. For the Campania case, the median increase in fatalities is 1.1 and 2.4 additional fatalities per 100,000 for eruptions on day 1 and 100 respectively, and 60.0 additional fatalities per 100,000 for an eruption close to the peak in infections (day 50). CONCLUSION: Our results show that the occurrence of a natural disaster in most cases leads to an increase in infection related fatalities, with wide variance in possible outcomes depending on the timing of the natural disaster relative to the peak in infections and the duration of the natural disaster. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12976-021-00151-0. BioMed Central 2021-12-03 /pmc/articles/PMC8641790/ http://dx.doi.org/10.1186/s12976-021-00151-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
de Vries, Maximillian Van Wyk
Rambabu, Lekaashree
The impact of natural disasters on the spread of COVID-19: a geospatial, agent-based epidemiology model
title The impact of natural disasters on the spread of COVID-19: a geospatial, agent-based epidemiology model
title_full The impact of natural disasters on the spread of COVID-19: a geospatial, agent-based epidemiology model
title_fullStr The impact of natural disasters on the spread of COVID-19: a geospatial, agent-based epidemiology model
title_full_unstemmed The impact of natural disasters on the spread of COVID-19: a geospatial, agent-based epidemiology model
title_short The impact of natural disasters on the spread of COVID-19: a geospatial, agent-based epidemiology model
title_sort impact of natural disasters on the spread of covid-19: a geospatial, agent-based epidemiology model
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8641790/
http://dx.doi.org/10.1186/s12976-021-00151-0
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