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Estimating social contacts in mass gatherings for disease outbreak prevention and management: case of Hajj pilgrimage
BACKGROUND: Most mass gathering events have been suspended due to the SARS-CoV-2 pandemic. However, with vaccination rollout, whether and how to organize some of these mass gathering events arises as part of the pandemic recovery discussions, and this calls for decision support tools. The Hajj, one...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9433139/ https://www.ncbi.nlm.nih.gov/pubmed/36045430 http://dx.doi.org/10.1186/s40794-022-00177-3 |
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author | Tofighi, Mohammadali Asgary, Ali Tofighi, Ghassem Najafabadi, Mahdi M. Arino, Julien Amiche, Amine Rahman, Ashrafur McCarthy, Zachary Bragazzi, Nicola Luigi Thommes, Edward Coudeville, Laurent Grunnill, Martin David Bourouiba, Lydia Wu, Jianhong |
author_facet | Tofighi, Mohammadali Asgary, Ali Tofighi, Ghassem Najafabadi, Mahdi M. Arino, Julien Amiche, Amine Rahman, Ashrafur McCarthy, Zachary Bragazzi, Nicola Luigi Thommes, Edward Coudeville, Laurent Grunnill, Martin David Bourouiba, Lydia Wu, Jianhong |
author_sort | Tofighi, Mohammadali |
collection | PubMed |
description | BACKGROUND: Most mass gathering events have been suspended due to the SARS-CoV-2 pandemic. However, with vaccination rollout, whether and how to organize some of these mass gathering events arises as part of the pandemic recovery discussions, and this calls for decision support tools. The Hajj, one of the world's largest religious gatherings, was substantively scaled down in 2020 and 2021 and it is still unclear how it will take place in 2022 and subsequent years. Simulating disease transmission dynamics during the Hajj season under different conditions can provide some insights for better decision-making. Most disease risk assessment models require data on the number and nature of possible close contacts between individuals. METHODS: We sought to use integrated agent-based modeling and discrete events simulation techniques to capture risky contacts among the pilgrims and assess different scenarios in one of the Hajj major sites, namely Masjid-Al-Haram. RESULTS: The simulation results showed that a plethora of risky contacts may occur during the rituals. Also, as the total number of pilgrims increases at each site, the number of risky contacts increases, and physical distancing measures may be challenging to maintain beyond a certain number of pilgrims in the site. CONCLUSIONS: This study presented a simulation tool that can be relevant for the risk assessment of a variety of (respiratory) infectious diseases, in addition to COVID-19 in the Hajj season. This tool can be expanded to include other contributing elements of disease transmission to quantify the risk of the mass gathering events. |
format | Online Article Text |
id | pubmed-9433139 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-94331392022-09-01 Estimating social contacts in mass gatherings for disease outbreak prevention and management: case of Hajj pilgrimage Tofighi, Mohammadali Asgary, Ali Tofighi, Ghassem Najafabadi, Mahdi M. Arino, Julien Amiche, Amine Rahman, Ashrafur McCarthy, Zachary Bragazzi, Nicola Luigi Thommes, Edward Coudeville, Laurent Grunnill, Martin David Bourouiba, Lydia Wu, Jianhong Trop Dis Travel Med Vaccines Research BACKGROUND: Most mass gathering events have been suspended due to the SARS-CoV-2 pandemic. However, with vaccination rollout, whether and how to organize some of these mass gathering events arises as part of the pandemic recovery discussions, and this calls for decision support tools. The Hajj, one of the world's largest religious gatherings, was substantively scaled down in 2020 and 2021 and it is still unclear how it will take place in 2022 and subsequent years. Simulating disease transmission dynamics during the Hajj season under different conditions can provide some insights for better decision-making. Most disease risk assessment models require data on the number and nature of possible close contacts between individuals. METHODS: We sought to use integrated agent-based modeling and discrete events simulation techniques to capture risky contacts among the pilgrims and assess different scenarios in one of the Hajj major sites, namely Masjid-Al-Haram. RESULTS: The simulation results showed that a plethora of risky contacts may occur during the rituals. Also, as the total number of pilgrims increases at each site, the number of risky contacts increases, and physical distancing measures may be challenging to maintain beyond a certain number of pilgrims in the site. CONCLUSIONS: This study presented a simulation tool that can be relevant for the risk assessment of a variety of (respiratory) infectious diseases, in addition to COVID-19 in the Hajj season. This tool can be expanded to include other contributing elements of disease transmission to quantify the risk of the mass gathering events. BioMed Central 2022-09-01 /pmc/articles/PMC9433139/ /pubmed/36045430 http://dx.doi.org/10.1186/s40794-022-00177-3 Text en © The Author(s) 2022 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 Tofighi, Mohammadali Asgary, Ali Tofighi, Ghassem Najafabadi, Mahdi M. Arino, Julien Amiche, Amine Rahman, Ashrafur McCarthy, Zachary Bragazzi, Nicola Luigi Thommes, Edward Coudeville, Laurent Grunnill, Martin David Bourouiba, Lydia Wu, Jianhong Estimating social contacts in mass gatherings for disease outbreak prevention and management: case of Hajj pilgrimage |
title | Estimating social contacts in mass gatherings for disease outbreak prevention and management: case of Hajj pilgrimage |
title_full | Estimating social contacts in mass gatherings for disease outbreak prevention and management: case of Hajj pilgrimage |
title_fullStr | Estimating social contacts in mass gatherings for disease outbreak prevention and management: case of Hajj pilgrimage |
title_full_unstemmed | Estimating social contacts in mass gatherings for disease outbreak prevention and management: case of Hajj pilgrimage |
title_short | Estimating social contacts in mass gatherings for disease outbreak prevention and management: case of Hajj pilgrimage |
title_sort | estimating social contacts in mass gatherings for disease outbreak prevention and management: case of hajj pilgrimage |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9433139/ https://www.ncbi.nlm.nih.gov/pubmed/36045430 http://dx.doi.org/10.1186/s40794-022-00177-3 |
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