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The impact of crowd gatherings on the spread of COVID-19
Crowd gatherings are an important cause of COVID-19 outbreaks. However, how the scale, scene and other factors of gatherings affect the spread of the epidemic remains unclear. A total of 184 gathering events worldwide were collected to construct a database, and 99 of them with a clear gathering scal...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9181815/ https://www.ncbi.nlm.nih.gov/pubmed/35691382 http://dx.doi.org/10.1016/j.envres.2022.113604 |
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author | Liu, Chuwei Huang, Jianping Chen, Siyu Wang, Danfeng Zhang, Li Liu, Xiaoyue Lian, Xinbo |
author_facet | Liu, Chuwei Huang, Jianping Chen, Siyu Wang, Danfeng Zhang, Li Liu, Xiaoyue Lian, Xinbo |
author_sort | Liu, Chuwei |
collection | PubMed |
description | Crowd gatherings are an important cause of COVID-19 outbreaks. However, how the scale, scene and other factors of gatherings affect the spread of the epidemic remains unclear. A total of 184 gathering events worldwide were collected to construct a database, and 99 of them with a clear gathering scale were used for statistical analysis of the impact of these factors on the disease incidence among the crowd in the study. The results showed that the impact of small-scale (less than 100 people) gathering events on the spread of COVID-19 in the city is also not to be underestimated due to their characteristics of more frequent occurrence and less detection and control. In our dataset, 22.22% of small-scale events have an incidence of more than 0.8. In contrast, the incidence of most large-scale events is less than 0.4. Gathering scenes such as “Meal” and “Family” occur in densely populated private or small public places have the highest incidence. We further designed a model of epidemic transmission triggered by crowd gathering events and simulated the impact of crowd gathering events on the overall epidemic situation in the city. The simulation results showed that the number of patients will be drastically reduced if the scale and the density of crowds gathering are halved. It indicated that crowd gatherings should be strictly controlled on a small scale. In addition, it showed that the model well reproduce the epidemic spread after crowd gathering events better than does the original SIER model and could be applied to epidemic prediction after sudden gathering events. |
format | Online Article Text |
id | pubmed-9181815 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Authors. Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91818152022-06-10 The impact of crowd gatherings on the spread of COVID-19 Liu, Chuwei Huang, Jianping Chen, Siyu Wang, Danfeng Zhang, Li Liu, Xiaoyue Lian, Xinbo Environ Res Article Crowd gatherings are an important cause of COVID-19 outbreaks. However, how the scale, scene and other factors of gatherings affect the spread of the epidemic remains unclear. A total of 184 gathering events worldwide were collected to construct a database, and 99 of them with a clear gathering scale were used for statistical analysis of the impact of these factors on the disease incidence among the crowd in the study. The results showed that the impact of small-scale (less than 100 people) gathering events on the spread of COVID-19 in the city is also not to be underestimated due to their characteristics of more frequent occurrence and less detection and control. In our dataset, 22.22% of small-scale events have an incidence of more than 0.8. In contrast, the incidence of most large-scale events is less than 0.4. Gathering scenes such as “Meal” and “Family” occur in densely populated private or small public places have the highest incidence. We further designed a model of epidemic transmission triggered by crowd gathering events and simulated the impact of crowd gathering events on the overall epidemic situation in the city. The simulation results showed that the number of patients will be drastically reduced if the scale and the density of crowds gathering are halved. It indicated that crowd gatherings should be strictly controlled on a small scale. In addition, it showed that the model well reproduce the epidemic spread after crowd gathering events better than does the original SIER model and could be applied to epidemic prediction after sudden gathering events. The Authors. Published by Elsevier Inc. 2022-10 2022-06-09 /pmc/articles/PMC9181815/ /pubmed/35691382 http://dx.doi.org/10.1016/j.envres.2022.113604 Text en © 2022 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Liu, Chuwei Huang, Jianping Chen, Siyu Wang, Danfeng Zhang, Li Liu, Xiaoyue Lian, Xinbo The impact of crowd gatherings on the spread of COVID-19 |
title | The impact of crowd gatherings on the spread of COVID-19 |
title_full | The impact of crowd gatherings on the spread of COVID-19 |
title_fullStr | The impact of crowd gatherings on the spread of COVID-19 |
title_full_unstemmed | The impact of crowd gatherings on the spread of COVID-19 |
title_short | The impact of crowd gatherings on the spread of COVID-19 |
title_sort | impact of crowd gatherings on the spread of covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9181815/ https://www.ncbi.nlm.nih.gov/pubmed/35691382 http://dx.doi.org/10.1016/j.envres.2022.113604 |
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