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Estimating Changes in Contact Patterns in China Over the First Year of the COVID-19 Pandemic: Implications for SARS-CoV-2 Spread — Four Cities, China, 2020
INTRODUCTION: Previous studies have demonstrated significant changes in social contacts during the first-wave coronavirus disease 2019 (COVID-19) in Chinese mainland. The purpose of this study was to quantify the time-varying contact patterns by age in Chinese mainland in 2020 and evaluate their imp...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061775/ https://www.ncbi.nlm.nih.gov/pubmed/37006711 http://dx.doi.org/10.46234/ccdcw2023.021 |
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author | Liang, Yuxia Peng, Cheng You, Qian Litvinova, Maria Ajelli, Marco Zhang, Juanjuan Yu, Hongjie |
author_facet | Liang, Yuxia Peng, Cheng You, Qian Litvinova, Maria Ajelli, Marco Zhang, Juanjuan Yu, Hongjie |
author_sort | Liang, Yuxia |
collection | PubMed |
description | INTRODUCTION: Previous studies have demonstrated significant changes in social contacts during the first-wave coronavirus disease 2019 (COVID-19) in Chinese mainland. The purpose of this study was to quantify the time-varying contact patterns by age in Chinese mainland in 2020 and evaluate their impact on the transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). METHODS: Diary-based contact surveys were performed for four periods: baseline (prior to 2020), outbreak (February 2020), post-lockdown (March–May 2020), and post-epidemic (September–November 2020). We built a Susceptible-Infected-Recovered (SIR) model to evaluate the effect of reducing contacts on transmission. RESULTS: During the post-epidemic period, daily contacts resumed to 26.7%, 14.8%, 46.8%, and 44.2% of the pre-COVID levels in Wuhan, Shanghai, Shenzhen, and Changsha, respectively. This suggests a moderate risk of resurgence in Changsha, Shenzhen, and Wuhan, and a low risk in Shanghai. School closure alone was not enough to interrupt transmission of SARS-CoV-2 Omicron BA.5, but with the addition of a 75% reduction of contacts at the workplace, it could lead to a 16.8% reduction of the attack rate. To control an outbreak, concerted strategies that target schools, workplaces, and community contacts are needed. DISCUSSION: Monitoring contact patterns by age is key to quantifying the risk of COVID-19 outbreaks and evaluating the impact of intervention strategies. |
format | Online Article Text |
id | pubmed-10061775 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-100617752023-03-31 Estimating Changes in Contact Patterns in China Over the First Year of the COVID-19 Pandemic: Implications for SARS-CoV-2 Spread — Four Cities, China, 2020 Liang, Yuxia Peng, Cheng You, Qian Litvinova, Maria Ajelli, Marco Zhang, Juanjuan Yu, Hongjie China CDC Wkly Methods and Applications INTRODUCTION: Previous studies have demonstrated significant changes in social contacts during the first-wave coronavirus disease 2019 (COVID-19) in Chinese mainland. The purpose of this study was to quantify the time-varying contact patterns by age in Chinese mainland in 2020 and evaluate their impact on the transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). METHODS: Diary-based contact surveys were performed for four periods: baseline (prior to 2020), outbreak (February 2020), post-lockdown (March–May 2020), and post-epidemic (September–November 2020). We built a Susceptible-Infected-Recovered (SIR) model to evaluate the effect of reducing contacts on transmission. RESULTS: During the post-epidemic period, daily contacts resumed to 26.7%, 14.8%, 46.8%, and 44.2% of the pre-COVID levels in Wuhan, Shanghai, Shenzhen, and Changsha, respectively. This suggests a moderate risk of resurgence in Changsha, Shenzhen, and Wuhan, and a low risk in Shanghai. School closure alone was not enough to interrupt transmission of SARS-CoV-2 Omicron BA.5, but with the addition of a 75% reduction of contacts at the workplace, it could lead to a 16.8% reduction of the attack rate. To control an outbreak, concerted strategies that target schools, workplaces, and community contacts are needed. DISCUSSION: Monitoring contact patterns by age is key to quantifying the risk of COVID-19 outbreaks and evaluating the impact of intervention strategies. Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2023-02-03 /pmc/articles/PMC10061775/ /pubmed/37006711 http://dx.doi.org/10.46234/ccdcw2023.021 Text en Copyright and License information: Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2023 https://creativecommons.org/licenses/by-nc-sa/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ (https://creativecommons.org/licenses/by-nc-sa/4.0/) |
spellingShingle | Methods and Applications Liang, Yuxia Peng, Cheng You, Qian Litvinova, Maria Ajelli, Marco Zhang, Juanjuan Yu, Hongjie Estimating Changes in Contact Patterns in China Over the First Year of the COVID-19 Pandemic: Implications for SARS-CoV-2 Spread — Four Cities, China, 2020 |
title | Estimating Changes in Contact Patterns in China Over the First Year of the COVID-19 Pandemic: Implications for SARS-CoV-2 Spread — Four Cities, China, 2020 |
title_full | Estimating Changes in Contact Patterns in China Over the First Year of the COVID-19 Pandemic: Implications for SARS-CoV-2 Spread — Four Cities, China, 2020 |
title_fullStr | Estimating Changes in Contact Patterns in China Over the First Year of the COVID-19 Pandemic: Implications for SARS-CoV-2 Spread — Four Cities, China, 2020 |
title_full_unstemmed | Estimating Changes in Contact Patterns in China Over the First Year of the COVID-19 Pandemic: Implications for SARS-CoV-2 Spread — Four Cities, China, 2020 |
title_short | Estimating Changes in Contact Patterns in China Over the First Year of the COVID-19 Pandemic: Implications for SARS-CoV-2 Spread — Four Cities, China, 2020 |
title_sort | estimating changes in contact patterns in china over the first year of the covid-19 pandemic: implications for sars-cov-2 spread — four cities, china, 2020 |
topic | Methods and Applications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061775/ https://www.ncbi.nlm.nih.gov/pubmed/37006711 http://dx.doi.org/10.46234/ccdcw2023.021 |
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