Cargando…
Threshold conditions for curbing COVID-19 with a dynamic zero-case policy derived from 101 outbreaks in China
By 31 May 2022, original/Alpha, Delta and Omicron strains induced 101 outbreaks of COVID-19 in mainland China. Most outbreaks were cleared by combining non-pharmaceutical interventions (NPIs) with vaccines, but continuous virus variations challenged the dynamic zero-case policy (DZCP), posing questi...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10242611/ https://www.ncbi.nlm.nih.gov/pubmed/37280554 http://dx.doi.org/10.1186/s12889-023-16009-8 |
_version_ | 1785054254109556736 |
---|---|
author | Tang, Sanyi Wang, Xia Tang, Biao He, Sha Yan, Dingding Huang, Chenxi Shao, Yiming Xiao, Yanni Cheke, Robert A. |
author_facet | Tang, Sanyi Wang, Xia Tang, Biao He, Sha Yan, Dingding Huang, Chenxi Shao, Yiming Xiao, Yanni Cheke, Robert A. |
author_sort | Tang, Sanyi |
collection | PubMed |
description | By 31 May 2022, original/Alpha, Delta and Omicron strains induced 101 outbreaks of COVID-19 in mainland China. Most outbreaks were cleared by combining non-pharmaceutical interventions (NPIs) with vaccines, but continuous virus variations challenged the dynamic zero-case policy (DZCP), posing questions of what are the prerequisites and threshold levels for success? And what are the independent effects of vaccination in each outbreak? Using a modified classic infectious disease dynamic model and an iterative relationship for new infections per day, the effectiveness of vaccines and NPIs was deduced, from which the independent effectiveness of vaccines was derived. There was a negative correlation between vaccination coverage rates and virus transmission. For the Delta strain, a 61.8% increase in the vaccination rate (VR) reduced the control reproduction number (CRN) by about 27%. For the Omicron strain, a 20.43% increase in VR, including booster shots, reduced the CRN by 42.16%. The implementation speed of NPIs against the original/Alpha strain was faster than the virus’s transmission speed, and vaccines significantly accelerated the DZCP against the Delta strain. The CRN ([Formula: see text] ) during the exponential growth phase and the peak time and intensity of NPIs were key factors affecting a comprehensive theoretical threshold condition for DZCP success, illustrated by contour diagrams for the CRN under different conditions. The DZCP maintained the [Formula: see text] of 101 outbreaks below the safe threshold level, but the strength of NPIs was close to saturation especially for Omicron, and there was little room for improvement. Only by curbing the rise in the early stage and shortening the exponential growth period could clearing be achieved quickly. Strengthening China's vaccine immune barrier can improve China's ability to prevent and control epidemics and provide greater scope for the selection and adjustment of NPIs. Otherwise, there will be rapid rises in infection rates and an extremely high peak and huge pressure on the healthcare system, and a potential increase in excess mortality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-16009-8. |
format | Online Article Text |
id | pubmed-10242611 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102426112023-06-07 Threshold conditions for curbing COVID-19 with a dynamic zero-case policy derived from 101 outbreaks in China Tang, Sanyi Wang, Xia Tang, Biao He, Sha Yan, Dingding Huang, Chenxi Shao, Yiming Xiao, Yanni Cheke, Robert A. BMC Public Health Research By 31 May 2022, original/Alpha, Delta and Omicron strains induced 101 outbreaks of COVID-19 in mainland China. Most outbreaks were cleared by combining non-pharmaceutical interventions (NPIs) with vaccines, but continuous virus variations challenged the dynamic zero-case policy (DZCP), posing questions of what are the prerequisites and threshold levels for success? And what are the independent effects of vaccination in each outbreak? Using a modified classic infectious disease dynamic model and an iterative relationship for new infections per day, the effectiveness of vaccines and NPIs was deduced, from which the independent effectiveness of vaccines was derived. There was a negative correlation between vaccination coverage rates and virus transmission. For the Delta strain, a 61.8% increase in the vaccination rate (VR) reduced the control reproduction number (CRN) by about 27%. For the Omicron strain, a 20.43% increase in VR, including booster shots, reduced the CRN by 42.16%. The implementation speed of NPIs against the original/Alpha strain was faster than the virus’s transmission speed, and vaccines significantly accelerated the DZCP against the Delta strain. The CRN ([Formula: see text] ) during the exponential growth phase and the peak time and intensity of NPIs were key factors affecting a comprehensive theoretical threshold condition for DZCP success, illustrated by contour diagrams for the CRN under different conditions. The DZCP maintained the [Formula: see text] of 101 outbreaks below the safe threshold level, but the strength of NPIs was close to saturation especially for Omicron, and there was little room for improvement. Only by curbing the rise in the early stage and shortening the exponential growth period could clearing be achieved quickly. Strengthening China's vaccine immune barrier can improve China's ability to prevent and control epidemics and provide greater scope for the selection and adjustment of NPIs. Otherwise, there will be rapid rises in infection rates and an extremely high peak and huge pressure on the healthcare system, and a potential increase in excess mortality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-16009-8. BioMed Central 2023-06-06 /pmc/articles/PMC10242611/ /pubmed/37280554 http://dx.doi.org/10.1186/s12889-023-16009-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Tang, Sanyi Wang, Xia Tang, Biao He, Sha Yan, Dingding Huang, Chenxi Shao, Yiming Xiao, Yanni Cheke, Robert A. Threshold conditions for curbing COVID-19 with a dynamic zero-case policy derived from 101 outbreaks in China |
title | Threshold conditions for curbing COVID-19 with a dynamic zero-case policy derived from 101 outbreaks in China |
title_full | Threshold conditions for curbing COVID-19 with a dynamic zero-case policy derived from 101 outbreaks in China |
title_fullStr | Threshold conditions for curbing COVID-19 with a dynamic zero-case policy derived from 101 outbreaks in China |
title_full_unstemmed | Threshold conditions for curbing COVID-19 with a dynamic zero-case policy derived from 101 outbreaks in China |
title_short | Threshold conditions for curbing COVID-19 with a dynamic zero-case policy derived from 101 outbreaks in China |
title_sort | threshold conditions for curbing covid-19 with a dynamic zero-case policy derived from 101 outbreaks in china |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10242611/ https://www.ncbi.nlm.nih.gov/pubmed/37280554 http://dx.doi.org/10.1186/s12889-023-16009-8 |
work_keys_str_mv | AT tangsanyi thresholdconditionsforcurbingcovid19withadynamiczerocasepolicyderivedfrom101outbreaksinchina AT wangxia thresholdconditionsforcurbingcovid19withadynamiczerocasepolicyderivedfrom101outbreaksinchina AT tangbiao thresholdconditionsforcurbingcovid19withadynamiczerocasepolicyderivedfrom101outbreaksinchina AT hesha thresholdconditionsforcurbingcovid19withadynamiczerocasepolicyderivedfrom101outbreaksinchina AT yandingding thresholdconditionsforcurbingcovid19withadynamiczerocasepolicyderivedfrom101outbreaksinchina AT huangchenxi thresholdconditionsforcurbingcovid19withadynamiczerocasepolicyderivedfrom101outbreaksinchina AT shaoyiming thresholdconditionsforcurbingcovid19withadynamiczerocasepolicyderivedfrom101outbreaksinchina AT xiaoyanni thresholdconditionsforcurbingcovid19withadynamiczerocasepolicyderivedfrom101outbreaksinchina AT chekeroberta thresholdconditionsforcurbingcovid19withadynamiczerocasepolicyderivedfrom101outbreaksinchina |