ArticleMedicine2018
Estimating the impact of test-and-treat strategies on hepatitis B virus infection in China by using an age-structured mathematical model.
Article in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 17 citations in OpenAlex.
- Pay-it-forward incentives for hepatitis virus testing in men who have sex with men: a cluster randomized trial.Nature medicine · 2023Trial
- Mathematical modeling and simulation of hepatitis B transmission dynamics with passive immunity and control strategies.Heliyon · 2025Article
- Effects of hepatitis B vaccination on hepatitis B surface antigen in neonates and its change in vivo.Asian biomedicine : research, reviews and news · 2022Article
- Tenofovir disoproxil fumarate for multiple nucleos(t)ide analogues treatment failure hepatitis B: Is monotherapy enough?Journal of gastroenterology and hepatology · 2022Article
- Correlation Analysis of Breast and Thyroid Nodules: A Cross-Sectional Study.International journal of general medicine · 2021Article
- Disease burden of chronic hepatitis B and complications in China from 2006 to 2050: an individual-based modeling study.Virology journal · 2020Article
- Control of Chronic Hepatitis B in China: Perspective of Diagnosis and Treatment.China CDC weekly · 2020Article
- Liver diseases in the Asia-Pacific region: a Lancet Gastroenterology & Hepatology Commission.The lancet. Gastroenterology & hepatology · 2020Review
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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