Estimating social contacts in mass gatherings for disease outbreak prevention and management: case of Hajj pilgrimage.

Agent-Based Simulation AnyLogic COVID-19 Disease Transmission Hajj Mass gathering Social Contacts

Journal

Tropical diseases, travel medicine and vaccines
ISSN: 2055-0936
Titre abrégé: Trop Dis Travel Med Vaccines
Pays: England
ID NLM: 101674442

Informations de publication

Date de publication:
01 Sep 2022
Historique:
received: 10 01 2022
accepted: 17 05 2022
entrez: 31 8 2022
pubmed: 1 9 2022
medline: 1 9 2022
Statut: epublish

Résumé

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. 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. 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. 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.

Sections du résumé

BACKGROUND 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 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 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 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.

Identifiants

pubmed: 36045430
doi: 10.1186/s40794-022-00177-3
pii: 10.1186/s40794-022-00177-3
pmc: PMC9433139
doi:

Types de publication

Journal Article

Langues

eng

Pagination

19

Informations de copyright

© 2022. The Author(s).

Références

PLoS One. 2021 Nov 19;16(11):e0259970
pubmed: 34797862
Int J Infect Dis. 2016 Jun;47:46-52
pubmed: 26987476
Am J Trop Med Hyg. 2021 Jan 11;104(3):797-799
pubmed: 33432907
Ann Am Thorac Soc. 2016 Jun;13(6):759-65
pubmed: 27088298
Bull World Health Organ. 2013 Dec 1;91(12):899-899A
pubmed: 24347725
Travel Med Infect Dis. 2021 Mar-Apr;40:101986
pubmed: 33567359
J Travel Med. 2021 Feb 23;28(2):
pubmed: 33184626
Science. 2009 Nov 13;326(5955):938-40
pubmed: 19933105
PLoS One. 2021 Aug 26;16(8):e0256747
pubmed: 34437628
Int J Infect Dis. 2020 Sep;98:208-215
pubmed: 32565364
Travel Med Infect Dis. 2020 Jul - Aug;36:101817
pubmed: 32673737
Health Secur. 2021 Mar-Apr;19(2):133-139
pubmed: 33264063
Lancet. 2020 Apr 4;395(10230):1096-1099
pubmed: 32203693
Saudi Med J. 2020 Feb;41(2):121-122
pubmed: 32020143

Auteurs

Mohammadali Tofighi (M)

York University, 4700 Keele Street, Toronto, ON, M3J1P3, Canada. tofighim@yorku.ca.

Ali Asgary (A)

York University, 4700 Keele Street, Toronto, ON, M3J1P3, Canada.

Ghassem Tofighi (G)

York University, 4700 Keele Street, Toronto, ON, M3J1P3, Canada.

Mahdi M Najafabadi (MM)

York University, 4700 Keele Street, Toronto, ON, M3J1P3, Canada.

Julien Arino (J)

University of Manitoba, Manitoba, Canada.

Amine Amiche (A)

, Sanofi, Canada.

Ashrafur Rahman (A)

Oakland University, Rochester, USA.

Zachary McCarthy (Z)

York University, 4700 Keele Street, Toronto, ON, M3J1P3, Canada.

Nicola Luigi Bragazzi (NL)

York University, 4700 Keele Street, Toronto, ON, M3J1P3, Canada.

Edward Thommes (E)

York University, 4700 Keele Street, Toronto, ON, M3J1P3, Canada.
, Sanofi, Canada.
University of Guelph, Guelph, Canada.

Laurent Coudeville (L)

, Sanofi, Canada.

Martin David Grunnill (MD)

York University, 4700 Keele Street, Toronto, ON, M3J1P3, Canada.

Lydia Bourouiba (L)

Massachusetts Institute of Technology, Cambridge, USA.

Jianhong Wu (J)

York University, 4700 Keele Street, Toronto, ON, M3J1P3, Canada.

Classifications MeSH