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Transmission dynamics of SARS-CoV-2 Omicron variant infections in Hangzhou, Zhejiang, China, January-February 2022
OBJECTIVES: We aimed to explore the transmission dynamics of the Omicron BA.1.1 variant in an outbreak in China. METHODS: We constructed 113 transmission pairs based on the time of exposure and symptom onset for identified infectors and infectees, using the epidemiological data collected during an o...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616478/ https://www.ncbi.nlm.nih.gov/pubmed/36511336 http://dx.doi.org/10.1016/j.ijid.2022.10.033 |
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author | Xin, Hualei Wang, Zhe Feng, Shuang Sun, Zhou Yu, Lele Cowling, Benjamin J Kong, Qingxin Wu, Peng |
author_facet | Xin, Hualei Wang, Zhe Feng, Shuang Sun, Zhou Yu, Lele Cowling, Benjamin J Kong, Qingxin Wu, Peng |
author_sort | Xin, Hualei |
collection | PubMed |
description | OBJECTIVES: We aimed to explore the transmission dynamics of the Omicron BA.1.1 variant in an outbreak in China. METHODS: We constructed 113 transmission pairs based on the time of exposure and symptom onset for identified infectors and infectees, using the epidemiological data collected during an outbreak in Hangzhou, Zhejiang province, China, between January and February 2022. The key epidemiological parameters were estimated. RESULTS: The mean estimates of the incubation period and latent period distributions were 3.8 days (95% credible interval: 3.5, 4.1) and 3.1 days (2.8, 3.5), respectively. The overall transmission risk peaked at symptom onset, and we estimated that 33.6% (24.8, 42.5) of transmission occurred before symptom onset. The forward generation time decreased from 5.2 days (4.7, 5.7) at the start of the outbreak to 2.2 days (2.0, 2.5) by the end. Allowing this variation over time in the generation time distribution, we estimated that the reproduction number dropped rapidly from 9.5 (3.5, 18.4) to 0.8 (0.3, 1.5) over the outbreak. CONCLUSION: Shorter incubation period and latent period were estimated for the Omicron BA.1.1 variant. Stringent public health measures prevented a large epidemic by reducing transmission, as indicated by the shortened generation time. |
format | Online Article Text |
id | pubmed-9616478 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96164782022-10-31 Transmission dynamics of SARS-CoV-2 Omicron variant infections in Hangzhou, Zhejiang, China, January-February 2022 Xin, Hualei Wang, Zhe Feng, Shuang Sun, Zhou Yu, Lele Cowling, Benjamin J Kong, Qingxin Wu, Peng Int J Infect Dis Article OBJECTIVES: We aimed to explore the transmission dynamics of the Omicron BA.1.1 variant in an outbreak in China. METHODS: We constructed 113 transmission pairs based on the time of exposure and symptom onset for identified infectors and infectees, using the epidemiological data collected during an outbreak in Hangzhou, Zhejiang province, China, between January and February 2022. The key epidemiological parameters were estimated. RESULTS: The mean estimates of the incubation period and latent period distributions were 3.8 days (95% credible interval: 3.5, 4.1) and 3.1 days (2.8, 3.5), respectively. The overall transmission risk peaked at symptom onset, and we estimated that 33.6% (24.8, 42.5) of transmission occurred before symptom onset. The forward generation time decreased from 5.2 days (4.7, 5.7) at the start of the outbreak to 2.2 days (2.0, 2.5) by the end. Allowing this variation over time in the generation time distribution, we estimated that the reproduction number dropped rapidly from 9.5 (3.5, 18.4) to 0.8 (0.3, 1.5) over the outbreak. CONCLUSION: Shorter incubation period and latent period were estimated for the Omicron BA.1.1 variant. Stringent public health measures prevented a large epidemic by reducing transmission, as indicated by the shortened generation time. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2023-01 2022-10-28 /pmc/articles/PMC9616478/ /pubmed/36511336 http://dx.doi.org/10.1016/j.ijid.2022.10.033 Text en © 2022 Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 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 Xin, Hualei Wang, Zhe Feng, Shuang Sun, Zhou Yu, Lele Cowling, Benjamin J Kong, Qingxin Wu, Peng Transmission dynamics of SARS-CoV-2 Omicron variant infections in Hangzhou, Zhejiang, China, January-February 2022 |
title | Transmission dynamics of SARS-CoV-2 Omicron variant infections in Hangzhou, Zhejiang, China, January-February 2022 |
title_full | Transmission dynamics of SARS-CoV-2 Omicron variant infections in Hangzhou, Zhejiang, China, January-February 2022 |
title_fullStr | Transmission dynamics of SARS-CoV-2 Omicron variant infections in Hangzhou, Zhejiang, China, January-February 2022 |
title_full_unstemmed | Transmission dynamics of SARS-CoV-2 Omicron variant infections in Hangzhou, Zhejiang, China, January-February 2022 |
title_short | Transmission dynamics of SARS-CoV-2 Omicron variant infections in Hangzhou, Zhejiang, China, January-February 2022 |
title_sort | transmission dynamics of sars-cov-2 omicron variant infections in hangzhou, zhejiang, china, january-february 2022 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616478/ https://www.ncbi.nlm.nih.gov/pubmed/36511336 http://dx.doi.org/10.1016/j.ijid.2022.10.033 |
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