ArticlePloS one2018
Estimating human-to-human transmissibility of hepatitis A virus in an outbreak at an elementary school in China, 2011.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- Current Epidemiological Trends and Public Health Challenges of Hepatitis A Virus Infection in Thailand.The American journal of tropical medicine and hygiene · 2025Review
- Significant Reduction in Seroprevalence of Antibodies Against Hepatitis A across Thailand, 2024.The American journal of tropical medicine and hygiene · 2025Article
- Transmission dynamics of the 2016-18 outbreak of hepatitis A among men who have sex with men in England and cost-effectiveness analysis of vaccination strategies to prevent future outbreaks.The Lancet regional health. Europe · 2022Article
- Determinants of hepatitis A infection among students: A case study of an outbreak in Jember, Indonesia.Journal of public health research · 2021Article
- Origin of HAV strains responsible for 2016-2017 outbreak among MSM: Viral phylodynamics in Lazio region.PloS one · 2020Article
- Recovery from hepatitis A after Korean medicine-based treatment : a case report.Integrative medicine research · 2019Article
- Bayesian modelling of a hepatitis A outbreak in men who have sex with men in Sydney, Australia, 1991/1992.Epidemiology and infection · 2019Article
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hepatitis A is caused by hepatitis A virus and occurs worldwide. Estimating the transmissibility, which is usually characterized by the basic reproductive number R0, the mean number of secondary infectious cases generated by a single primary infectious case introduced into a totally susceptible population, provides crucial information for the effort required to stop infection spreading. Hepatitis A virus is usually transmitted indirectly through contaminated food and environment. An outbreak from March to June 2011 was reported to have occurred at an elementary school of 698 pupils in China and it was found that the outbreak was due to direct transmission between school children. Based on the symptom onset date and the social contact network of the children, in this study we estimate the serial interval (i.e. the gap in symptom onset between an infectee and its infector) and use different statistical methods to estimate R0. Combining with the positivity of IgG antibodies tests, we develop a compartmental transmission dynamics model which includes both asymptomatic and symptomatic infections to estimate the overall R0. Our analysis suggests a serial interval of mean = 23.9 days and standard deviation = 20.9 days. The different statistical methods suggest estimates for R0 in the outbreak varying from 2.1 to 2.8, and the estimates from the transmission dynamics model are consistent with this range. Our estimates are in agreement with that from one study in England but are higher than that from one study in the United States. Our transmission dynamics model suggests that the proportion of symptomatic infections is about 9%, implying that there were about 344 asymptomatic infections along with the 32 observed symptomatic cases. Furthermore, it is shown that the inclusion of asymptomatic infection in the epidemic process increases the estimate of R0 but does not do so greatly provided that the proportion of symptomatic infections is constant over the outbreak and there is no difference in transmissibility between symptomatic and asymptomatic infections.
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