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Underreporting of hepatitis A in non-endemic countries: a systematic review and meta-analysis

Overview of attention for article published in BMC Infectious Diseases, June 2016
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Title
Underreporting of hepatitis A in non-endemic countries: a systematic review and meta-analysis
Published in
BMC Infectious Diseases, June 2016
DOI 10.1186/s12879-016-1636-6
Pubmed ID
Authors

Rachel D. Savage, Laura C. Rosella, Kevin A. Brown, Kamran Khan, Natasha S. Crowcroft

Abstract

Information 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. We 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. Diagnosed 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. Future 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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Mendeley readers

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Geographical breakdown

Country Count As %
United States 1 2%
Unknown 49 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 14%
Student > Master 7 14%
Student > Ph. D. Student 6 12%
Student > Doctoral Student 3 6%
Professor 2 4%
Other 5 10%
Unknown 20 40%
Readers by discipline Count As %
Medicine and Dentistry 10 20%
Nursing and Health Professions 7 14%
Agricultural and Biological Sciences 4 8%
Biochemistry, Genetics and Molecular Biology 2 4%
Environmental Science 2 4%
Other 4 8%
Unknown 21 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 June 2016.
All research outputs
#20,333,181
of 22,877,793 outputs
Outputs from BMC Infectious Diseases
#6,481
of 7,691 outputs
Outputs of similar age
#305,071
of 352,763 outputs
Outputs of similar age from BMC Infectious Diseases
#133
of 169 outputs
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