Cargando…

Transmissibility of coronavirus disease 2019 in Chinese cities with different dynamics of imported cases

BACKGROUND: Monitoring the reproduction number (R(t)) of the disease could help determine whether there is sustained transmission in a population, but areas with similar epidemic trends could have different transmission dynamics given the risk from imported cases varied across regions. In this study...

Descripción completa

Detalles Bibliográficos
Autores principales: Chong, Ka Chun, Cheng, Wei, Zhao, Shi, Ling, Feng, Mohammad, Kirran N., Wang, Maggie, Zee, Benny CY, Wei, Lai, Xiong, Xi, Liu, Hengyan, Wang, Jingxuan, Chen, Enfu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7651459/
https://www.ncbi.nlm.nih.gov/pubmed/33194456
http://dx.doi.org/10.7717/peerj.10350
_version_ 1783607579601010688
author Chong, Ka Chun
Cheng, Wei
Zhao, Shi
Ling, Feng
Mohammad, Kirran N.
Wang, Maggie
Zee, Benny CY
Wei, Lai
Xiong, Xi
Liu, Hengyan
Wang, Jingxuan
Chen, Enfu
author_facet Chong, Ka Chun
Cheng, Wei
Zhao, Shi
Ling, Feng
Mohammad, Kirran N.
Wang, Maggie
Zee, Benny CY
Wei, Lai
Xiong, Xi
Liu, Hengyan
Wang, Jingxuan
Chen, Enfu
author_sort Chong, Ka Chun
collection PubMed
description BACKGROUND: Monitoring the reproduction number (R(t)) of the disease could help determine whether there is sustained transmission in a population, but areas with similar epidemic trends could have different transmission dynamics given the risk from imported cases varied across regions. In this study, we examined the R(t) of coronavirus disease 2019 (COVID-19) by taking different dynamics of imported cases into account and compared the transmissibility of COVID-19 at different intervention periods in Hangzhou and Shenzhen. METHODS: We obtained the daily aggregated counts of laboratory-confirmed imported and local cases of COVID-19 infections in Hangzhou and Shenzhen from January 1 to March 13, 2020. Daily R(t) and piecewise R(t) before and after Wuhan lockdown were estimated, accounting for imported cases. RESULTS: Since the epidemic of COVID-19 in Shenzhen was dominated by imported cases, R(t) was around 0.1 to 0.7 before the Wuhan lockdown. After the lockdown of Wuhan and the initialization of measures in response to the outbreak, local transmission was well-controlled as indicated by a low estimated value of piecewise R(t), 0.15 (95% CI [0.09–0.21]). On the contrary, R(t) obtained for Hangzhou ranged from 1.2 to 4.9 with a piecewise R(t) of 2.55 (95% CI [2.13–2.97]) before the lockdown of Wuhan due to the surge in local cases. Because of the Wuhan lockdown and other outbreak response measures, R(t) dropped below unity in mid-February. CONCLUSIONS: Even though Shenzhen had more cases than Hangzhou, local transmission did not sustain probably due to limited transmission from imported cases owing to the reduction in local susceptibles as residents left the city during Chunyun. The lockdown measures and local outbreak responses helped reduce the local transmissibility.
format Online
Article
Text
id pubmed-7651459
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher PeerJ Inc.
record_format MEDLINE/PubMed
spelling pubmed-76514592020-11-12 Transmissibility of coronavirus disease 2019 in Chinese cities with different dynamics of imported cases Chong, Ka Chun Cheng, Wei Zhao, Shi Ling, Feng Mohammad, Kirran N. Wang, Maggie Zee, Benny CY Wei, Lai Xiong, Xi Liu, Hengyan Wang, Jingxuan Chen, Enfu PeerJ Epidemiology BACKGROUND: Monitoring the reproduction number (R(t)) of the disease could help determine whether there is sustained transmission in a population, but areas with similar epidemic trends could have different transmission dynamics given the risk from imported cases varied across regions. In this study, we examined the R(t) of coronavirus disease 2019 (COVID-19) by taking different dynamics of imported cases into account and compared the transmissibility of COVID-19 at different intervention periods in Hangzhou and Shenzhen. METHODS: We obtained the daily aggregated counts of laboratory-confirmed imported and local cases of COVID-19 infections in Hangzhou and Shenzhen from January 1 to March 13, 2020. Daily R(t) and piecewise R(t) before and after Wuhan lockdown were estimated, accounting for imported cases. RESULTS: Since the epidemic of COVID-19 in Shenzhen was dominated by imported cases, R(t) was around 0.1 to 0.7 before the Wuhan lockdown. After the lockdown of Wuhan and the initialization of measures in response to the outbreak, local transmission was well-controlled as indicated by a low estimated value of piecewise R(t), 0.15 (95% CI [0.09–0.21]). On the contrary, R(t) obtained for Hangzhou ranged from 1.2 to 4.9 with a piecewise R(t) of 2.55 (95% CI [2.13–2.97]) before the lockdown of Wuhan due to the surge in local cases. Because of the Wuhan lockdown and other outbreak response measures, R(t) dropped below unity in mid-February. CONCLUSIONS: Even though Shenzhen had more cases than Hangzhou, local transmission did not sustain probably due to limited transmission from imported cases owing to the reduction in local susceptibles as residents left the city during Chunyun. The lockdown measures and local outbreak responses helped reduce the local transmissibility. PeerJ Inc. 2020-11-06 /pmc/articles/PMC7651459/ /pubmed/33194456 http://dx.doi.org/10.7717/peerj.10350 Text en © 2020 Chong et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Epidemiology
Chong, Ka Chun
Cheng, Wei
Zhao, Shi
Ling, Feng
Mohammad, Kirran N.
Wang, Maggie
Zee, Benny CY
Wei, Lai
Xiong, Xi
Liu, Hengyan
Wang, Jingxuan
Chen, Enfu
Transmissibility of coronavirus disease 2019 in Chinese cities with different dynamics of imported cases
title Transmissibility of coronavirus disease 2019 in Chinese cities with different dynamics of imported cases
title_full Transmissibility of coronavirus disease 2019 in Chinese cities with different dynamics of imported cases
title_fullStr Transmissibility of coronavirus disease 2019 in Chinese cities with different dynamics of imported cases
title_full_unstemmed Transmissibility of coronavirus disease 2019 in Chinese cities with different dynamics of imported cases
title_short Transmissibility of coronavirus disease 2019 in Chinese cities with different dynamics of imported cases
title_sort transmissibility of coronavirus disease 2019 in chinese cities with different dynamics of imported cases
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7651459/
https://www.ncbi.nlm.nih.gov/pubmed/33194456
http://dx.doi.org/10.7717/peerj.10350
work_keys_str_mv AT chongkachun transmissibilityofcoronavirusdisease2019inchinesecitieswithdifferentdynamicsofimportedcases
AT chengwei transmissibilityofcoronavirusdisease2019inchinesecitieswithdifferentdynamicsofimportedcases
AT zhaoshi transmissibilityofcoronavirusdisease2019inchinesecitieswithdifferentdynamicsofimportedcases
AT lingfeng transmissibilityofcoronavirusdisease2019inchinesecitieswithdifferentdynamicsofimportedcases
AT mohammadkirrann transmissibilityofcoronavirusdisease2019inchinesecitieswithdifferentdynamicsofimportedcases
AT wangmaggie transmissibilityofcoronavirusdisease2019inchinesecitieswithdifferentdynamicsofimportedcases
AT zeebennycy transmissibilityofcoronavirusdisease2019inchinesecitieswithdifferentdynamicsofimportedcases
AT weilai transmissibilityofcoronavirusdisease2019inchinesecitieswithdifferentdynamicsofimportedcases
AT xiongxi transmissibilityofcoronavirusdisease2019inchinesecitieswithdifferentdynamicsofimportedcases
AT liuhengyan transmissibilityofcoronavirusdisease2019inchinesecitieswithdifferentdynamicsofimportedcases
AT wangjingxuan transmissibilityofcoronavirusdisease2019inchinesecitieswithdifferentdynamicsofimportedcases
AT chenenfu transmissibilityofcoronavirusdisease2019inchinesecitieswithdifferentdynamicsofimportedcases