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Do Stay at Home Orders and Cloth Face Coverings Control COVID-19 in New York City? Results From a SIER Model Based on Real-world Data
BACKGROUND: Public health interventions have been implemented to contain the outbreak of coronavirus disease 2019 (COVID-19) in New York City. However, the assessment of those interventions—for example, social distancing and cloth face coverings—based on real-world data from published studies is lac...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7543604/ https://www.ncbi.nlm.nih.gov/pubmed/33553466 http://dx.doi.org/10.1093/ofid/ofaa442 |
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author | Li, Jian Wang, Yuming Wu, Jing Ai, Jing-Wen Zhang, Hao-Cheng Gamber, Michelle Li, Wei Zhang, Wen-Hong Sun, Wen-Jie |
author_facet | Li, Jian Wang, Yuming Wu, Jing Ai, Jing-Wen Zhang, Hao-Cheng Gamber, Michelle Li, Wei Zhang, Wen-Hong Sun, Wen-Jie |
author_sort | Li, Jian |
collection | PubMed |
description | BACKGROUND: Public health interventions have been implemented to contain the outbreak of coronavirus disease 2019 (COVID-19) in New York City. However, the assessment of those interventions—for example, social distancing and cloth face coverings—based on real-world data from published studies is lacking. METHODS: The Susceptible-Exposed-Infectious-Removed (SEIR) compartmental model was used to evaluate the effect of social distancing and cloth face coverings on the daily culminative laboratory confirmed cases in New York City (NYC) and COVID-19 transmissibility. The latter was measured by Rt reproduction numbers in 3 phases that were based on 2 interventions implemented during this timeline. RESULTS: Transmissibility decreased from phase 1 to phase 3. The initial R0 was 4.60 in phase 1 without any intervention. After social distancing, the Rt value was reduced by 68%, while after the mask recommendation, it was further reduced by ~60%. CONCLUSIONS: Interventions resulted in significant reduction of confirmed case numbers relative to predicted values based on the SEIR model without intervention. Our findings highlight the effectiveness of social distancing and cloth face coverings in slowing down the spread of severe acute respiratory syndrome coronavirus 2 in NYC. |
format | Online Article Text |
id | pubmed-7543604 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-75436042020-10-08 Do Stay at Home Orders and Cloth Face Coverings Control COVID-19 in New York City? Results From a SIER Model Based on Real-world Data Li, Jian Wang, Yuming Wu, Jing Ai, Jing-Wen Zhang, Hao-Cheng Gamber, Michelle Li, Wei Zhang, Wen-Hong Sun, Wen-Jie Open Forum Infect Dis Major Articles BACKGROUND: Public health interventions have been implemented to contain the outbreak of coronavirus disease 2019 (COVID-19) in New York City. However, the assessment of those interventions—for example, social distancing and cloth face coverings—based on real-world data from published studies is lacking. METHODS: The Susceptible-Exposed-Infectious-Removed (SEIR) compartmental model was used to evaluate the effect of social distancing and cloth face coverings on the daily culminative laboratory confirmed cases in New York City (NYC) and COVID-19 transmissibility. The latter was measured by Rt reproduction numbers in 3 phases that were based on 2 interventions implemented during this timeline. RESULTS: Transmissibility decreased from phase 1 to phase 3. The initial R0 was 4.60 in phase 1 without any intervention. After social distancing, the Rt value was reduced by 68%, while after the mask recommendation, it was further reduced by ~60%. CONCLUSIONS: Interventions resulted in significant reduction of confirmed case numbers relative to predicted values based on the SEIR model without intervention. Our findings highlight the effectiveness of social distancing and cloth face coverings in slowing down the spread of severe acute respiratory syndrome coronavirus 2 in NYC. Oxford University Press 2020-09-24 /pmc/articles/PMC7543604/ /pubmed/33553466 http://dx.doi.org/10.1093/ofid/ofaa442 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Major Articles Li, Jian Wang, Yuming Wu, Jing Ai, Jing-Wen Zhang, Hao-Cheng Gamber, Michelle Li, Wei Zhang, Wen-Hong Sun, Wen-Jie Do Stay at Home Orders and Cloth Face Coverings Control COVID-19 in New York City? Results From a SIER Model Based on Real-world Data |
title | Do Stay at Home Orders and Cloth Face Coverings Control COVID-19 in New York City? Results From a SIER Model Based on Real-world Data |
title_full | Do Stay at Home Orders and Cloth Face Coverings Control COVID-19 in New York City? Results From a SIER Model Based on Real-world Data |
title_fullStr | Do Stay at Home Orders and Cloth Face Coverings Control COVID-19 in New York City? Results From a SIER Model Based on Real-world Data |
title_full_unstemmed | Do Stay at Home Orders and Cloth Face Coverings Control COVID-19 in New York City? Results From a SIER Model Based on Real-world Data |
title_short | Do Stay at Home Orders and Cloth Face Coverings Control COVID-19 in New York City? Results From a SIER Model Based on Real-world Data |
title_sort | do stay at home orders and cloth face coverings control covid-19 in new york city? results from a sier model based on real-world data |
topic | Major Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7543604/ https://www.ncbi.nlm.nih.gov/pubmed/33553466 http://dx.doi.org/10.1093/ofid/ofaa442 |
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