Annual risk of hepatitis E virus infection and seroreversion: Insights from a serological cohort in Sitakunda, Bangladesh.

IF 2.5 4区 医学 Q3 INFECTIOUS DISEASES Epidemiology and Infection Pub Date : 2024-03-18 DOI:10.1017/S0950268824000438
Amy Dighe, Ashraful Islam Khan, Taufiqur Rahman Bhuiyan, Md Taufiqul Islam, Zahid Hasan Khan, Ishtiakul Islam Khan, Juan Dent Hulse, Shakeel Ahmed, Mamunur Rashid, Md Zakir Hossain, Rumana Rashid, Sonia T Hegde, Emily S Gurley, Firdausi Qadri, Andrew S Azman
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Abstract

Hepatitis E virus (HEV) is a major cause of acute jaundice in South Asia. Gaps in our understanding of transmission are driven by non-specific symptoms and scarcity of diagnostics, impeding rational control strategies. In this context, serological data can provide important proxy measures of infection. We enrolled a population-representative serological cohort of 2,337 individuals in Sitakunda, Bangladesh. We estimated the annual risks of HEV infection and seroreversion both using serostatus changes between paired serum samples collected 9 months apart, and by fitting catalytic models to the age-stratified cross-sectional seroprevalence. At baseline, 15% (95 CI: 14-17%) of people were seropositive, with seroprevalence highest in the relatively urban south. During the study, 27 individuals seroreverted (annual seroreversion risk: 15%, 95 CI: 10-21%), and 38 seroconverted (annual infection risk: 3%, 95CI: 2-5%). Relying on cross-sectional seroprevalence data alone, and ignoring seroreversion, underestimated the annual infection risk five-fold (0.6%, 95 CrI: 0.5-0.6%). When we accounted for the observed seroreversion in a reversible catalytic model, infection risk was more consistent with measured seroincidence. Our results quantify HEV infection risk in Sitakunda and highlight the importance of accounting for seroreversion when estimating infection incidence from cross-sectional seroprevalence data.

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戊型肝炎病毒感染的年度风险和血清转换:孟加拉国 Sitakunda 血清学队列的启示。
戊型肝炎病毒(HEV)是南亚地区急性黄疸型肝炎的主要病因。非特异性症状和诊断方法的匮乏导致我们对传播途径的认识存在差距,从而阻碍了合理的控制策略。在这种情况下,血清学数据可以提供重要的感染替代指标。我们在孟加拉国西塔昆达(Sitakunda)招募了 2,337 名具有人口代表性的血清学队列。我们利用相隔 9 个月采集的配对血清样本之间的血清状态变化,并通过对年龄分层横断面血清流行率进行催化模型拟合,估算了 HEV 感染和血清转换的年度风险。基线时,15%(95 CI:14%-17%)的人血清反应呈阳性,血清阳性率在相对城市化的南部地区最高。研究期间,27 人血清转换(年血清转换风险:15%,95CI:10-21%),38 人血清转换(年感染风险:3%,95CI:2-5%)。仅依靠横断面血清流行率数据而忽略血清转换,会将年度感染风险低估五倍(0.6%,95 CI:0.5-0.6%)。当我们在可逆催化模型中考虑到观察到的血清转换时,感染风险与测得的血清发生率更加一致。我们的研究结果量化了西塔昆达的 HEV 感染风险,并强调了在根据横断面血清流行率数据估算感染率时考虑血清转换的重要性。
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来源期刊
Epidemiology and Infection
Epidemiology and Infection 医学-传染病学
CiteScore
4.10
自引率
2.40%
发文量
366
审稿时长
3-6 weeks
期刊介绍: Epidemiology & Infection publishes original reports and reviews on all aspects of infection in humans and animals. Particular emphasis is given to the epidemiology, prevention and control of infectious diseases. The scope covers the zoonoses, outbreaks, food hygiene, vaccine studies, statistics and the clinical, social and public-health aspects of infectious disease, as well as some tropical infections. It has become the key international periodical in which to find the latest reports on recently discovered infections and new technology. For those concerned with policy and planning for the control of infections, the papers on mathematical modelling of epidemics caused by historical, current and emergent infections are of particular value.
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