Cargando…
Transmission dynamics and successful control measures of SARS-CoV-2 in the mega-size city of Guangzhou, China
The severe acute respiratory syndrome coronavirus 2 has caused a worldwide pandemic. Control measures differ among countries and have a varying degree of effectiveness, which requires assessment. To evaluate the effectiveness of public health interventions of the coronavirus disease 2019 (COVID-19)...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9191374/ https://www.ncbi.nlm.nih.gov/pubmed/35049185 http://dx.doi.org/10.1097/MD.0000000000027846 |
_version_ | 1784725997935919104 |
---|---|
author | Zhao, Hongjun Zhang, Zhoubin Lun, Wenhui Chen, Zongqiu Lu, Xiaoxiao Li, Jingrong Qiu, Fuman Li, Shunming Mao, Chun Lu, Ying Chen, Jinbin He, Qing Lu, Jiachun Yang, Zhicong |
author_facet | Zhao, Hongjun Zhang, Zhoubin Lun, Wenhui Chen, Zongqiu Lu, Xiaoxiao Li, Jingrong Qiu, Fuman Li, Shunming Mao, Chun Lu, Ying Chen, Jinbin He, Qing Lu, Jiachun Yang, Zhicong |
author_sort | Zhao, Hongjun |
collection | PubMed |
description | The severe acute respiratory syndrome coronavirus 2 has caused a worldwide pandemic. Control measures differ among countries and have a varying degree of effectiveness, which requires assessment. To evaluate the effectiveness of public health interventions of the coronavirus disease 2019 (COVID-19) in Guangzhou by 3 periods according to interventions: January 7 to 22 (no intervention), January 23 to February 23 (implemented intensive interventions), and February 24 to May 17 (the normalization mode of COVID-19 prevention and control). We collected the information of 745 COVID-19 patients and their close contacts as well as control measures in Guangzhou from January 7 to May 17, 2020. We estimated the epidemiological characteristics, disease spectrum of COVID-19 cases, key time-to-event intervals, and effective reproduction number over the 3 periods. The basic reproduction number of severe acute respiratory syndrome coronavirus 2 was also calculated over period 1. Approximately 45.8%, 49.8%, and 4.4% of cases from close contacts were asymptomatic, symptomatic, and severe, respectively. The median incubation period was 5.3 days (the percentiles of 2.5–97.5, 1.5–18.4 days) and the median serial interval fitted with gamma distribution was 5.1 days (the percentiles of 2.5–97.5, 0.8–15.9 days). The estimated median of onset-to-quarantined time in Period 1 to 3 were 7.5, 3.4, and 2.9 days (the percentiles of 2.5–97.5, 2.1–14.2, 3.9–14.7, and 6.0–20.0 days) respectively and the median of onset-to-confirmation time in period 1 to 3 were 8.9, 4.9 and 2.4 days (the percentiles of 2.5–97.5, 2.6–16.6, 0.9–14.6, and 0.5–11.8 days). In period 1, the reproduction number was 0.9 (95% confidence interval, 0.5–1.4) and fluctuated below 1.0 before January 22 except for January 14. The effective reproduction number gradually decreased in the period 2 with the lowest point of 0.1 on February 20, then increased again since March 27 and reach a spike of 1.8 on April 12. The number decreased to below 1.0 after April 17 and decreased further to <0.2 after May 7 in the period 3. Under prospective dynamic observation, close contacts turned into infected cases could provide a spectrum of COVID-19 cases from real-world settings. The lockdown of Wuhan and closed-loop management of people arriving Guangzhou were effective in halting the spread of the COVID-19 cases to Guangzhou. The spread of COVID-19 was successfully controlled in Guangzhou by social distancing, wearing a face mask, handwashing, disinfection in key places, mass testing, extensive contact tracing, and strict quarantine of close contacts. |
format | Online Article Text |
id | pubmed-9191374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-91913742022-06-13 Transmission dynamics and successful control measures of SARS-CoV-2 in the mega-size city of Guangzhou, China Zhao, Hongjun Zhang, Zhoubin Lun, Wenhui Chen, Zongqiu Lu, Xiaoxiao Li, Jingrong Qiu, Fuman Li, Shunming Mao, Chun Lu, Ying Chen, Jinbin He, Qing Lu, Jiachun Yang, Zhicong Medicine (Baltimore) 4700 The severe acute respiratory syndrome coronavirus 2 has caused a worldwide pandemic. Control measures differ among countries and have a varying degree of effectiveness, which requires assessment. To evaluate the effectiveness of public health interventions of the coronavirus disease 2019 (COVID-19) in Guangzhou by 3 periods according to interventions: January 7 to 22 (no intervention), January 23 to February 23 (implemented intensive interventions), and February 24 to May 17 (the normalization mode of COVID-19 prevention and control). We collected the information of 745 COVID-19 patients and their close contacts as well as control measures in Guangzhou from January 7 to May 17, 2020. We estimated the epidemiological characteristics, disease spectrum of COVID-19 cases, key time-to-event intervals, and effective reproduction number over the 3 periods. The basic reproduction number of severe acute respiratory syndrome coronavirus 2 was also calculated over period 1. Approximately 45.8%, 49.8%, and 4.4% of cases from close contacts were asymptomatic, symptomatic, and severe, respectively. The median incubation period was 5.3 days (the percentiles of 2.5–97.5, 1.5–18.4 days) and the median serial interval fitted with gamma distribution was 5.1 days (the percentiles of 2.5–97.5, 0.8–15.9 days). The estimated median of onset-to-quarantined time in Period 1 to 3 were 7.5, 3.4, and 2.9 days (the percentiles of 2.5–97.5, 2.1–14.2, 3.9–14.7, and 6.0–20.0 days) respectively and the median of onset-to-confirmation time in period 1 to 3 were 8.9, 4.9 and 2.4 days (the percentiles of 2.5–97.5, 2.6–16.6, 0.9–14.6, and 0.5–11.8 days). In period 1, the reproduction number was 0.9 (95% confidence interval, 0.5–1.4) and fluctuated below 1.0 before January 22 except for January 14. The effective reproduction number gradually decreased in the period 2 with the lowest point of 0.1 on February 20, then increased again since March 27 and reach a spike of 1.8 on April 12. The number decreased to below 1.0 after April 17 and decreased further to <0.2 after May 7 in the period 3. Under prospective dynamic observation, close contacts turned into infected cases could provide a spectrum of COVID-19 cases from real-world settings. The lockdown of Wuhan and closed-loop management of people arriving Guangzhou were effective in halting the spread of the COVID-19 cases to Guangzhou. The spread of COVID-19 was successfully controlled in Guangzhou by social distancing, wearing a face mask, handwashing, disinfection in key places, mass testing, extensive contact tracing, and strict quarantine of close contacts. Lippincott Williams & Wilkins 2021-12-03 /pmc/articles/PMC9191374/ /pubmed/35049185 http://dx.doi.org/10.1097/MD.0000000000027846 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections. |
spellingShingle | 4700 Zhao, Hongjun Zhang, Zhoubin Lun, Wenhui Chen, Zongqiu Lu, Xiaoxiao Li, Jingrong Qiu, Fuman Li, Shunming Mao, Chun Lu, Ying Chen, Jinbin He, Qing Lu, Jiachun Yang, Zhicong Transmission dynamics and successful control measures of SARS-CoV-2 in the mega-size city of Guangzhou, China |
title | Transmission dynamics and successful control measures of SARS-CoV-2 in the mega-size city of Guangzhou, China |
title_full | Transmission dynamics and successful control measures of SARS-CoV-2 in the mega-size city of Guangzhou, China |
title_fullStr | Transmission dynamics and successful control measures of SARS-CoV-2 in the mega-size city of Guangzhou, China |
title_full_unstemmed | Transmission dynamics and successful control measures of SARS-CoV-2 in the mega-size city of Guangzhou, China |
title_short | Transmission dynamics and successful control measures of SARS-CoV-2 in the mega-size city of Guangzhou, China |
title_sort | transmission dynamics and successful control measures of sars-cov-2 in the mega-size city of guangzhou, china |
topic | 4700 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9191374/ https://www.ncbi.nlm.nih.gov/pubmed/35049185 http://dx.doi.org/10.1097/MD.0000000000027846 |
work_keys_str_mv | AT zhaohongjun transmissiondynamicsandsuccessfulcontrolmeasuresofsarscov2inthemegasizecityofguangzhouchina AT zhangzhoubin transmissiondynamicsandsuccessfulcontrolmeasuresofsarscov2inthemegasizecityofguangzhouchina AT lunwenhui transmissiondynamicsandsuccessfulcontrolmeasuresofsarscov2inthemegasizecityofguangzhouchina AT chenzongqiu transmissiondynamicsandsuccessfulcontrolmeasuresofsarscov2inthemegasizecityofguangzhouchina AT luxiaoxiao transmissiondynamicsandsuccessfulcontrolmeasuresofsarscov2inthemegasizecityofguangzhouchina AT lijingrong transmissiondynamicsandsuccessfulcontrolmeasuresofsarscov2inthemegasizecityofguangzhouchina AT qiufuman transmissiondynamicsandsuccessfulcontrolmeasuresofsarscov2inthemegasizecityofguangzhouchina AT lishunming transmissiondynamicsandsuccessfulcontrolmeasuresofsarscov2inthemegasizecityofguangzhouchina AT maochun transmissiondynamicsandsuccessfulcontrolmeasuresofsarscov2inthemegasizecityofguangzhouchina AT luying transmissiondynamicsandsuccessfulcontrolmeasuresofsarscov2inthemegasizecityofguangzhouchina AT chenjinbin transmissiondynamicsandsuccessfulcontrolmeasuresofsarscov2inthemegasizecityofguangzhouchina AT heqing transmissiondynamicsandsuccessfulcontrolmeasuresofsarscov2inthemegasizecityofguangzhouchina AT lujiachun transmissiondynamicsandsuccessfulcontrolmeasuresofsarscov2inthemegasizecityofguangzhouchina AT yangzhicong transmissiondynamicsandsuccessfulcontrolmeasuresofsarscov2inthemegasizecityofguangzhouchina |