Cargando…
Effect of different interventions for latent tuberculosis infections in China: a model-based study
BACKGROUND: Tuberculosis (TB) has a serious impact on people’s health. China is one of 30 countries that has a high TB burden. As the currently decreasing speed of the incidence of TB, the WHO’s goal of “End TB Strategy” is hard to achieve by 2035. As a result, a SEIR model that determines the impac...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9125978/ https://www.ncbi.nlm.nih.gov/pubmed/35606696 http://dx.doi.org/10.1186/s12879-022-07465-5 |
_version_ | 1784712044488949760 |
---|---|
author | Wen, Zexuan Li, Tao Zhu, Wenlong Chen, Wei Zhang, Hui Wang, Weibing |
author_facet | Wen, Zexuan Li, Tao Zhu, Wenlong Chen, Wei Zhang, Hui Wang, Weibing |
author_sort | Wen, Zexuan |
collection | PubMed |
description | BACKGROUND: Tuberculosis (TB) has a serious impact on people’s health. China is one of 30 countries that has a high TB burden. As the currently decreasing speed of the incidence of TB, the WHO’s goal of “End TB Strategy” is hard to achieve by 2035. As a result, a SEIR model that determines the impact of different tuberculosis preventive treatments (TPTs) in different age groups, and the effect of different interventions on latent TB infections (LTBIs) in China is developed. METHODS: A Susceptible-Exposed-Infectious-Recovered (SEIR) model was established. Goodness-of-fit tests were used to assess model performance. Predictive analysis was used to assess the effect of different interventions on LTBIs and achieving the goals of the “End TB Strategy”. RESULTS: The Chi-square test indicated the model provided a good statistical fit to previous data on the incidence of TB (χ(2) = 0.3085, p > 0.999). The 1HP treatment regimen (daily rifapentine + isoniazid for 4 weeks) was most effective in reducing the number of TB cases by 2035. The model indicated that several strategies could achieve the 2035 target of the “End TB Strategy”: completion of active case finding (ACF) for LTBI and TPT nation-wide within 5 years; completion of ACF for LTBIs and TPT within 2 years in high-incidence areas; completion of TPT in the elderly within 2 years; or introduction of a new vaccine in which the product of annual doses and vaccine efficiency in the three age groups above 14 years old reached 10.5 million. CONCLUSION: The incidence of TB in China declined gradually from 2005 to 2019. Implementation of ACF for LTBIs and TPT nation-wide or in areas with high incidence, in the elderly, or administration of a new and effective vaccine could greatly reduce the number of TB cases and achieve the 2035 target of the “End TB Strategy” in China. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07465-5. |
format | Online Article Text |
id | pubmed-9125978 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91259782022-05-23 Effect of different interventions for latent tuberculosis infections in China: a model-based study Wen, Zexuan Li, Tao Zhu, Wenlong Chen, Wei Zhang, Hui Wang, Weibing BMC Infect Dis Research Article BACKGROUND: Tuberculosis (TB) has a serious impact on people’s health. China is one of 30 countries that has a high TB burden. As the currently decreasing speed of the incidence of TB, the WHO’s goal of “End TB Strategy” is hard to achieve by 2035. As a result, a SEIR model that determines the impact of different tuberculosis preventive treatments (TPTs) in different age groups, and the effect of different interventions on latent TB infections (LTBIs) in China is developed. METHODS: A Susceptible-Exposed-Infectious-Recovered (SEIR) model was established. Goodness-of-fit tests were used to assess model performance. Predictive analysis was used to assess the effect of different interventions on LTBIs and achieving the goals of the “End TB Strategy”. RESULTS: The Chi-square test indicated the model provided a good statistical fit to previous data on the incidence of TB (χ(2) = 0.3085, p > 0.999). The 1HP treatment regimen (daily rifapentine + isoniazid for 4 weeks) was most effective in reducing the number of TB cases by 2035. The model indicated that several strategies could achieve the 2035 target of the “End TB Strategy”: completion of active case finding (ACF) for LTBI and TPT nation-wide within 5 years; completion of ACF for LTBIs and TPT within 2 years in high-incidence areas; completion of TPT in the elderly within 2 years; or introduction of a new vaccine in which the product of annual doses and vaccine efficiency in the three age groups above 14 years old reached 10.5 million. CONCLUSION: The incidence of TB in China declined gradually from 2005 to 2019. Implementation of ACF for LTBIs and TPT nation-wide or in areas with high incidence, in the elderly, or administration of a new and effective vaccine could greatly reduce the number of TB cases and achieve the 2035 target of the “End TB Strategy” in China. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07465-5. BioMed Central 2022-05-23 /pmc/articles/PMC9125978/ /pubmed/35606696 http://dx.doi.org/10.1186/s12879-022-07465-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Article Wen, Zexuan Li, Tao Zhu, Wenlong Chen, Wei Zhang, Hui Wang, Weibing Effect of different interventions for latent tuberculosis infections in China: a model-based study |
title | Effect of different interventions for latent tuberculosis infections in China: a model-based study |
title_full | Effect of different interventions for latent tuberculosis infections in China: a model-based study |
title_fullStr | Effect of different interventions for latent tuberculosis infections in China: a model-based study |
title_full_unstemmed | Effect of different interventions for latent tuberculosis infections in China: a model-based study |
title_short | Effect of different interventions for latent tuberculosis infections in China: a model-based study |
title_sort | effect of different interventions for latent tuberculosis infections in china: a model-based study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9125978/ https://www.ncbi.nlm.nih.gov/pubmed/35606696 http://dx.doi.org/10.1186/s12879-022-07465-5 |
work_keys_str_mv | AT wenzexuan effectofdifferentinterventionsforlatenttuberculosisinfectionsinchinaamodelbasedstudy AT litao effectofdifferentinterventionsforlatenttuberculosisinfectionsinchinaamodelbasedstudy AT zhuwenlong effectofdifferentinterventionsforlatenttuberculosisinfectionsinchinaamodelbasedstudy AT chenwei effectofdifferentinterventionsforlatenttuberculosisinfectionsinchinaamodelbasedstudy AT zhanghui effectofdifferentinterventionsforlatenttuberculosisinfectionsinchinaamodelbasedstudy AT wangweibing effectofdifferentinterventionsforlatenttuberculosisinfectionsinchinaamodelbasedstudy |