SynthesisBMC infectious diseases2016
Underreporting of hepatitis A in non-endemic countries: a systematic review and meta-analysis.
Synthesis in BMC infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Wastewater-Based Epidemiology of Hepatitis A in Mexico: Temporal Association with Hospital Admissions and Clinical-Environmental Phylogenetic Relatedness.Food and environmental virology · 2026Article
- Detection ofmSphere · 2024Article
- Epidemiology of sporadic and outbreak-associated hepatitis A infections in Ontario, Canada: A descriptive summary, 2015-2022.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2024Article
- Hepatitis A notifications in the EU/EEA, 2010-2019: what can we learn from case reporting to the European Surveillance System?Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2023Article
- Hepatitis A surveillance: sensitivity of two information sources.BMC infectious diseases · 2018Article
- Hepatitis A virus infections, immunisations and demographic determinants in children and adolescents, Germany.Scientific reports · 2018Article
- Characteristics of Laws Requiring Physicians to Report Patient Information for Public Health Surveillance: Notable Patterns from a Nevada Case Study.Journal of community health · 2018Article
- Hepatitis A Virus Prevention and Vaccination Within and Outside the Veterans Health Administration in Light of Recent Outbreaks.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2018Article
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Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundInformation on reporting completeness of passive surveillance systems can improve the quality of and public health response to surveillance data and better inform public health planning. As a result, we systematically reviewed available literature on reporting completeness of hepatitis A in non-endemic countries.
methodsWe searched Medline, EMBASE and grey literature sources, restricting to studies published in English between 1997 and 21 May 2015. Primary studies on hepatitis A surveillance and underreporting in non-endemic countries were included, and assessed for risk of bias. A pooled proportion of reporting completeness was estimated using a DerSimonian-Laird random-effects model.
resultsDiagnosed hepatitis A cases identified through positive laboratory tests, physician visits, and inpatient hospital discharges were underreported to public health in all eight included studies. Reporting completeness ranged from 4 to 97 % (pooled proportion 59 %, 95 % confidence interval = 32 %, 84 %). Substantial heterogeneity was observed, which may be explained by differences in the referent data sources used to identify diagnosed cases and in case reporting mechanisms and/or staffing infrastructure. Completeness was improved in settings where case reporting was automated or where dedicated staff had clear reporting responsibilities.
conclusionsFuture studies that evaluate reporting completeness should describe the context, components, and operations of the surveillance system being evaluated in order to identify modifiable characteristics that improve system sensitivity and utility. Additionally, reporting completeness should be assessed across high risk groups to inform equitable allocation of public health resources and evaluate the effectiveness of targeted interventions.
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