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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

机译:用年龄结构数学模型估算试验治疗策略对中国乙肝病毒感染的影响

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摘要

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.
机译:在中国,增加试验和治疗覆盖面对乙型肝炎病毒(HBV)感染的潜在影响尚不清楚。这项研究的目的是在人群水平上建立动态隔室模型,以评估该策略的长期效果。基于中国HBV感染的自然史和3种乙型肝炎血清学调查数据,我们提出了一个年龄-和时变离散模型来预测在5种不同的测试和治疗方法下2018年至2050年期间新的HBV感染人数,慢性HBV感染人数以及与HBV相关的死亡人数,并将其与与目前的政策相比,如果自2018年以来将测试和治疗覆盖率提高到100%,到2035年慢性HBV感染,新的HBV感染和与HBV相关的死亡人数将减少26.60%,分别减少24.88%,26.55%和2050年将分别减少44.93%,43.29%和43.67%。相比之下,如果自2018年以来测试和治疗的覆盖率每年增加10%,那么2035年慢性HBV感染,新的HBV感染以及与HBV相关的死亡人数将减少21.81%,20.10%,分别减少21.40%和2050年的41.53%,39.89%和40.32%。特别是,如果自2018年以来测试和治疗的覆盖率增加到75%,那么与HBV相关的每年死亡人数将从2018年开始减少。如果自2000年以来,将测试和治疗的覆盖率增加到25%以上,到2018年,到2035年,中国1至59岁人口的乙型肝炎表面抗原(HBsAg)患病率将降至2%以下。我们的模型还显示,到2035年,慢性HBV感染和与HBV相关的死亡人数在65至69岁年龄段的人群中,减幅最大(分别为160万和1.3万)。增加测试和治疗覆盖率将显着减少中国的HBV感染率,尤其是在中年人和老年人中。治疗越早,时间越长,减少的幅度就越大。实施检验治疗策略对控制中国的乙型肝炎非常有效。

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