Cargando…
Modeling the Impacts of Prevention and Treatment Interventions on Hepatitis C Among People Who Inject Drugs in China
INTRODUCTION: Injection drug use is the main transmission route of hepatitis C virus (HCV) in China. The prevalence of HCV remains high at 40–50% among people who inject drugs (PWID). We developed a mathematical model to predict the impacts of different HCV intervention strategies on the HCV burden...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Healthcare
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10147892/ https://www.ncbi.nlm.nih.gov/pubmed/36894824 http://dx.doi.org/10.1007/s40121-023-00779-0 |
_version_ | 1785034879954583552 |
---|---|
author | Fang, Kailu Wang, Hong-liang Lin, Yushi Li, Shuwen Wu, Jie |
author_facet | Fang, Kailu Wang, Hong-liang Lin, Yushi Li, Shuwen Wu, Jie |
author_sort | Fang, Kailu |
collection | PubMed |
description | INTRODUCTION: Injection drug use is the main transmission route of hepatitis C virus (HCV) in China. The prevalence of HCV remains high at 40–50% among people who inject drugs (PWID). We developed a mathematical model to predict the impacts of different HCV intervention strategies on the HCV burden in Chinese PWID by 2030. METHODS: We developed a dynamic deterministic mathematical model to simulate the transmission of HCV among PWID in China between 2016 and 2030, using domestic data based on the real cascade of HCV care. We considered various intervention scenarios, including treatment regimens, harm reduction program (HRP) coverage, enhanced testing and referral for treatment. RESULTS: HCV incidence will exhibit a gradual but slow declining trend from 12,970 in 2016 to 11,761 in 2030 based on current screening and treatment practices among PWID (scenario 1). Scaled-up HCV screening and treatment integrated with HRPs (scenario 8) demonstrated the most substantial reduction in HCV burden, being the only intervention scenario that could achieve the World Health Organization’s (WHO’s) HCV elimination target. Specifically, the HCV incidence in 2030 is projected to be reduced by 81.42%, and HCV-related deaths are projected to be reduced by 91.94%. CONCLUSION: Our study indicates that achieving WHO elimination targets is an extremely challenging goal that requires substantial improvements in HCV testing and treatment among PWID (scenario S8). The findings suggest that coordinated improvements in testing, treatment, and harm reduction programs could greatly reduce the HCV burden among PWID in China, and urgent policy changes are needed to integrate HCV testing and treatment into existing HRPs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40121-023-00779-0. |
format | Online Article Text |
id | pubmed-10147892 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Healthcare |
record_format | MEDLINE/PubMed |
spelling | pubmed-101478922023-04-30 Modeling the Impacts of Prevention and Treatment Interventions on Hepatitis C Among People Who Inject Drugs in China Fang, Kailu Wang, Hong-liang Lin, Yushi Li, Shuwen Wu, Jie Infect Dis Ther Original Research INTRODUCTION: Injection drug use is the main transmission route of hepatitis C virus (HCV) in China. The prevalence of HCV remains high at 40–50% among people who inject drugs (PWID). We developed a mathematical model to predict the impacts of different HCV intervention strategies on the HCV burden in Chinese PWID by 2030. METHODS: We developed a dynamic deterministic mathematical model to simulate the transmission of HCV among PWID in China between 2016 and 2030, using domestic data based on the real cascade of HCV care. We considered various intervention scenarios, including treatment regimens, harm reduction program (HRP) coverage, enhanced testing and referral for treatment. RESULTS: HCV incidence will exhibit a gradual but slow declining trend from 12,970 in 2016 to 11,761 in 2030 based on current screening and treatment practices among PWID (scenario 1). Scaled-up HCV screening and treatment integrated with HRPs (scenario 8) demonstrated the most substantial reduction in HCV burden, being the only intervention scenario that could achieve the World Health Organization’s (WHO’s) HCV elimination target. Specifically, the HCV incidence in 2030 is projected to be reduced by 81.42%, and HCV-related deaths are projected to be reduced by 91.94%. CONCLUSION: Our study indicates that achieving WHO elimination targets is an extremely challenging goal that requires substantial improvements in HCV testing and treatment among PWID (scenario S8). The findings suggest that coordinated improvements in testing, treatment, and harm reduction programs could greatly reduce the HCV burden among PWID in China, and urgent policy changes are needed to integrate HCV testing and treatment into existing HRPs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40121-023-00779-0. Springer Healthcare 2023-03-09 2023-04 /pmc/articles/PMC10147892/ /pubmed/36894824 http://dx.doi.org/10.1007/s40121-023-00779-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial 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-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Original Research Fang, Kailu Wang, Hong-liang Lin, Yushi Li, Shuwen Wu, Jie Modeling the Impacts of Prevention and Treatment Interventions on Hepatitis C Among People Who Inject Drugs in China |
title | Modeling the Impacts of Prevention and Treatment Interventions on Hepatitis C Among People Who Inject Drugs in China |
title_full | Modeling the Impacts of Prevention and Treatment Interventions on Hepatitis C Among People Who Inject Drugs in China |
title_fullStr | Modeling the Impacts of Prevention and Treatment Interventions on Hepatitis C Among People Who Inject Drugs in China |
title_full_unstemmed | Modeling the Impacts of Prevention and Treatment Interventions on Hepatitis C Among People Who Inject Drugs in China |
title_short | Modeling the Impacts of Prevention and Treatment Interventions on Hepatitis C Among People Who Inject Drugs in China |
title_sort | modeling the impacts of prevention and treatment interventions on hepatitis c among people who inject drugs in china |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10147892/ https://www.ncbi.nlm.nih.gov/pubmed/36894824 http://dx.doi.org/10.1007/s40121-023-00779-0 |
work_keys_str_mv | AT fangkailu modelingtheimpactsofpreventionandtreatmentinterventionsonhepatitiscamongpeoplewhoinjectdrugsinchina AT wanghongliang modelingtheimpactsofpreventionandtreatmentinterventionsonhepatitiscamongpeoplewhoinjectdrugsinchina AT linyushi modelingtheimpactsofpreventionandtreatmentinterventionsonhepatitiscamongpeoplewhoinjectdrugsinchina AT lishuwen modelingtheimpactsofpreventionandtreatmentinterventionsonhepatitiscamongpeoplewhoinjectdrugsinchina AT wujie modelingtheimpactsofpreventionandtreatmentinterventionsonhepatitiscamongpeoplewhoinjectdrugsinchina |