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Human mobility and poverty as key drivers of COVID-19 transmission and control

BACKGROUND: Applying heavy nationwide restrictions is a powerful method to curtail COVID-19 transmission but poses a significant humanitarian and economic crisis. Thus, it is essential to improve our understanding of COVID-19 transmission, and develop more focused and effective strategies. As human...

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Autores principales: Yechezkel, Matan, Weiss, Amit, Rejwan, Idan, Shahmoon, Edan, Ben-Gal, Shachaf, Yamin, Dan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7993906/
https://www.ncbi.nlm.nih.gov/pubmed/33765977
http://dx.doi.org/10.1186/s12889-021-10561-x
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author Yechezkel, Matan
Weiss, Amit
Rejwan, Idan
Shahmoon, Edan
Ben-Gal, Shachaf
Yamin, Dan
author_facet Yechezkel, Matan
Weiss, Amit
Rejwan, Idan
Shahmoon, Edan
Ben-Gal, Shachaf
Yamin, Dan
author_sort Yechezkel, Matan
collection PubMed
description BACKGROUND: Applying heavy nationwide restrictions is a powerful method to curtail COVID-19 transmission but poses a significant humanitarian and economic crisis. Thus, it is essential to improve our understanding of COVID-19 transmission, and develop more focused and effective strategies. As human mobility drives transmission, data from cellphone devices can be utilized to achieve these goals. METHODS: We analyzed aggregated and anonymized mobility data from the cell phone devices of> 3 million users between February 1, 2020, to May 16, 2020 — in which several movement restrictions were applied and lifted in Israel. We integrated these mobility patterns into age-, risk- and region-structured transmission model. Calibrated to coronavirus incidence in 250 regions covering Israel, we evaluated the efficacy and effectiveness in decreasing morbidity and mortality of applying localized and temporal lockdowns (stay-at-home order). RESULTS: Poorer regions exhibited lower and slower compliance with the restrictions. Our transmission model further indicated that individuals from impoverished areas were associated with high transmission rates. Considering a horizon of 1–3 years, we found that to reduce COVID-19 mortality, school closure has an adverse effect, while interventions focusing on the elderly are the most efficient. We also found that applying localized and temporal lockdowns during regional outbreaks reduces the overall mortality and morbidity compared to nationwide lockdowns. These trends were consistent across vast ranges of epidemiological parameters, and potential seasonal forcing. CONCLUSIONS: More resources should be devoted to helping impoverished regions. Utilizing cellphone data despite being anonymized and aggregated can help policymakers worldwide identify hotspots and apply designated strategies against future COVID-19 outbreaks. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-10561-x.
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spelling pubmed-79939062021-03-26 Human mobility and poverty as key drivers of COVID-19 transmission and control Yechezkel, Matan Weiss, Amit Rejwan, Idan Shahmoon, Edan Ben-Gal, Shachaf Yamin, Dan BMC Public Health Research Article BACKGROUND: Applying heavy nationwide restrictions is a powerful method to curtail COVID-19 transmission but poses a significant humanitarian and economic crisis. Thus, it is essential to improve our understanding of COVID-19 transmission, and develop more focused and effective strategies. As human mobility drives transmission, data from cellphone devices can be utilized to achieve these goals. METHODS: We analyzed aggregated and anonymized mobility data from the cell phone devices of> 3 million users between February 1, 2020, to May 16, 2020 — in which several movement restrictions were applied and lifted in Israel. We integrated these mobility patterns into age-, risk- and region-structured transmission model. Calibrated to coronavirus incidence in 250 regions covering Israel, we evaluated the efficacy and effectiveness in decreasing morbidity and mortality of applying localized and temporal lockdowns (stay-at-home order). RESULTS: Poorer regions exhibited lower and slower compliance with the restrictions. Our transmission model further indicated that individuals from impoverished areas were associated with high transmission rates. Considering a horizon of 1–3 years, we found that to reduce COVID-19 mortality, school closure has an adverse effect, while interventions focusing on the elderly are the most efficient. We also found that applying localized and temporal lockdowns during regional outbreaks reduces the overall mortality and morbidity compared to nationwide lockdowns. These trends were consistent across vast ranges of epidemiological parameters, and potential seasonal forcing. CONCLUSIONS: More resources should be devoted to helping impoverished regions. Utilizing cellphone data despite being anonymized and aggregated can help policymakers worldwide identify hotspots and apply designated strategies against future COVID-19 outbreaks. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-10561-x. BioMed Central 2021-03-25 /pmc/articles/PMC7993906/ /pubmed/33765977 http://dx.doi.org/10.1186/s12889-021-10561-x Text en © The Author(s) 2021 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/. The Creative Commons Public Domain Dedication waiver (http://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 Article
Yechezkel, Matan
Weiss, Amit
Rejwan, Idan
Shahmoon, Edan
Ben-Gal, Shachaf
Yamin, Dan
Human mobility and poverty as key drivers of COVID-19 transmission and control
title Human mobility and poverty as key drivers of COVID-19 transmission and control
title_full Human mobility and poverty as key drivers of COVID-19 transmission and control
title_fullStr Human mobility and poverty as key drivers of COVID-19 transmission and control
title_full_unstemmed Human mobility and poverty as key drivers of COVID-19 transmission and control
title_short Human mobility and poverty as key drivers of COVID-19 transmission and control
title_sort human mobility and poverty as key drivers of covid-19 transmission and control
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7993906/
https://www.ncbi.nlm.nih.gov/pubmed/33765977
http://dx.doi.org/10.1186/s12889-021-10561-x
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