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Estimating the impact of test-and-treat strategies on hepatitis B virus infection in China by using an age-structured mathematical model
The potential impact of increasing test-and-treat coverage on hepatitis B virus (HBV) infection remains unclear in China. The objective of this study was to develop a dynamic compartmental model at a population level to estimate the long-term effect of this strategy. Based on the natural history of...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5916706/ https://www.ncbi.nlm.nih.gov/pubmed/29668627 http://dx.doi.org/10.1097/MD.0000000000010484 |
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author | Zu, Jian Li, Miaolei Zhuang, Guihua Liang, Peifeng Cui, Fuqiang Wang, Fuzhen Zheng, Hui Liang, Xiaofeng |
author_facet | Zu, Jian Li, Miaolei Zhuang, Guihua Liang, Peifeng Cui, Fuqiang Wang, Fuzhen Zheng, Hui Liang, Xiaofeng |
author_sort | Zu, Jian |
collection | PubMed |
description | The potential impact of increasing test-and-treat coverage on hepatitis B virus (HBV) infection remains unclear in China. The objective of this study was to develop a dynamic compartmental model at a population level to estimate the long-term effect of this strategy. Based on the natural history of HBV infection and 3 serosurvey data of hepatitis B in China, we proposed an age- and time-dependent discrete model to predict the number of new HBV infection, the number of chronic HBV infection, and the number of HBV-related deaths for the time from 2018 to 2050 under 5 different test-and-treat coverage and compared them with current intervention policy. Compared with current policy, if the test-and-treat coverage was increased to 100% since 2018, the numbers of chronic HBV infection, new HBV infection, and HBV-related deaths in 2035 would be reduced by 26.60%, 24.88%, 26.55%, respectively, and in 2050 it would be reduced by 44.93%, 43.29%, 43.67%, respectively. In contrast, if the test-and-treat coverage was increased by 10% every year since 2018, then the numbers of chronic HBV infection, new HBV infection, and HBV-related deaths in 2035 would be reduced by 21.81%, 20.10%, 21.40%, respectively, and in 2050 it would be reduced by 41.53%, 39.89%, 40.32%, respectively. In particular, if the test-and-treat coverage was increased to 75% since 2018, then the annual number of HBV-related deaths would begin to decrease from 2018. If the test-and-treat coverage was increased to above 25% since 2018, then the hepatitis B surface antigen (HBsAg) prevalence for population aged 1 to 59 years in China would be reduced to below 2% in 2035. Our model also showed that in 2035, the numbers of chronic HBV infection and HBV-related deaths in 65 to 69 age group would be reduced the most (about 1.6 million and 13 thousand, respectively). Increasing test-and-treat coverage would significantly reduce HBV infection in China, especially in the middle-aged people and older people. The earlier the treatment and the longer the time, the more significant the reduction. Implementation of test-and-treat strategy is highly effective in controlling hepatitis B in China. |
format | Online Article Text |
id | pubmed-5916706 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-59167062018-05-01 Estimating the impact of test-and-treat strategies on hepatitis B virus infection in China by using an age-structured mathematical model Zu, Jian Li, Miaolei Zhuang, Guihua Liang, Peifeng Cui, Fuqiang Wang, Fuzhen Zheng, Hui Liang, Xiaofeng Medicine (Baltimore) 4400 The potential impact of increasing test-and-treat coverage on hepatitis B virus (HBV) infection remains unclear in China. The objective of this study was to develop a dynamic compartmental model at a population level to estimate the long-term effect of this strategy. Based on the natural history of HBV infection and 3 serosurvey data of hepatitis B in China, we proposed an age- and time-dependent discrete model to predict the number of new HBV infection, the number of chronic HBV infection, and the number of HBV-related deaths for the time from 2018 to 2050 under 5 different test-and-treat coverage and compared them with current intervention policy. Compared with current policy, if the test-and-treat coverage was increased to 100% since 2018, the numbers of chronic HBV infection, new HBV infection, and HBV-related deaths in 2035 would be reduced by 26.60%, 24.88%, 26.55%, respectively, and in 2050 it would be reduced by 44.93%, 43.29%, 43.67%, respectively. In contrast, if the test-and-treat coverage was increased by 10% every year since 2018, then the numbers of chronic HBV infection, new HBV infection, and HBV-related deaths in 2035 would be reduced by 21.81%, 20.10%, 21.40%, respectively, and in 2050 it would be reduced by 41.53%, 39.89%, 40.32%, respectively. In particular, if the test-and-treat coverage was increased to 75% since 2018, then the annual number of HBV-related deaths would begin to decrease from 2018. If the test-and-treat coverage was increased to above 25% since 2018, then the hepatitis B surface antigen (HBsAg) prevalence for population aged 1 to 59 years in China would be reduced to below 2% in 2035. Our model also showed that in 2035, the numbers of chronic HBV infection and HBV-related deaths in 65 to 69 age group would be reduced the most (about 1.6 million and 13 thousand, respectively). Increasing test-and-treat coverage would significantly reduce HBV infection in China, especially in the middle-aged people and older people. The earlier the treatment and the longer the time, the more significant the reduction. Implementation of test-and-treat strategy is highly effective in controlling hepatitis B in China. Wolters Kluwer Health 2018-04-20 /pmc/articles/PMC5916706/ /pubmed/29668627 http://dx.doi.org/10.1097/MD.0000000000010484 Text en Copyright © 2018 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nd/4.0 This is an open access article distributed under the Creative Commons Attribution-NoDerivatives License 4.0, which allows for redistribution, commercial and non-commercial, as long as it is passed along unchanged and in whole, with credit to the author. http://creativecommons.org/licenses/by-nd/4.0 |
spellingShingle | 4400 Zu, Jian Li, Miaolei Zhuang, Guihua Liang, Peifeng Cui, Fuqiang Wang, Fuzhen Zheng, Hui Liang, Xiaofeng Estimating the impact of test-and-treat strategies on hepatitis B virus infection in China by using an age-structured mathematical model |
title | Estimating the impact of test-and-treat strategies on hepatitis B virus infection in China by using an age-structured mathematical model |
title_full | Estimating the impact of test-and-treat strategies on hepatitis B virus infection in China by using an age-structured mathematical model |
title_fullStr | Estimating the impact of test-and-treat strategies on hepatitis B virus infection in China by using an age-structured mathematical model |
title_full_unstemmed | Estimating the impact of test-and-treat strategies on hepatitis B virus infection in China by using an age-structured mathematical model |
title_short | Estimating the impact of test-and-treat strategies on hepatitis B virus infection in China by using an age-structured mathematical model |
title_sort | estimating the impact of test-and-treat strategies on hepatitis b virus infection in china by using an age-structured mathematical model |
topic | 4400 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5916706/ https://www.ncbi.nlm.nih.gov/pubmed/29668627 http://dx.doi.org/10.1097/MD.0000000000010484 |
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