ArticleBMC health services research2014
Application of WHO's guideline for the selection of sentinel sites for hospital-based influenza surveillance in Indonesia.
Article in BMC health services research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- Implementation of India's largest sentinel surveillance for meningitis: an exploratory qualitative analysis of the facilitators and challenges in this sentinel site network.Frontiers in public health · 2026Article
- Criteria for selecting sentinel unit locations in a surveillance system for vector-borne disease: A decision tool.Frontiers in public health · 2022Review
- The DIOS framework for optimizing infectious disease surveillance: Numerical methods for simulation and multi-objective optimization of surveillance network architectures.PLoS computational biology · 2020Article
- Attenuation of highly pathogenic avian influenza A(H5N1) viruses in Indonesia following the reassortment and acquisition of genes from low pathogenicity avian influenza A virus progenitors.Emerging microbes & infections · 2018Article
- Estimated incidence of influenza-associated severe acute respiratory infections in Indonesia, 2013-2016.Influenza and other respiratory viruses · 2018Article
- Community Health Centers and Sentinel Surveillance of Human Trafficking in the United States.Public health reports (Washington, D.C. : 1974)Article
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12 authors.
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Abstract
backgroundA sentinel hospital-based severe acute respiratory infection (SARI) surveillance system was established in Indonesia in 2013. Deciding on the number, geographic location and hospitals to be selected as sentinel sites was a challenge. Based on the recently published WHO guideline for influenza surveillance (2012), this study presents the process for hospital sentinel site selection.
methodsFrom the 2,165 hospitals in Indonesia, the first step was to shortlist to hospitals that had previously participated in respiratory disease surveillance systems and had acceptable surveillance performance history. The second step involved categorizing the shortlist according to five regions in Indonesia to maximize geographic representativeness. A checklist was developed based on the WHO recommended attributes for sentinel site selection including stability, feasibility, representativeness and the availability of data to enable disease burden estimation. Eight hospitals, a maximum of two per geographic region, were visited for checklist administration. Checklist findings from the eight hospitals were analyzed and sentinel sites selected in the third step.
resultsSix hospitals could be selected based on resources available to ensure system stability over a three-year period. For feasibility, all eight hospitals visited had mechanisms for specimen shipment and the capacity to report surveillance data, but two had limited motivation for system participation. For representativeness, the eight hospitals were geographically dispersed around Indonesia, and all could capture cases in all age and socio-economic groups. All eight hospitals had prerequisite population data to enable disease burden estimation. The two hospitals with low motivation were excluded and the remaining six were selected as sentinel sites.
conclusionsThe multi-step process enabled sentinel site selection based on the WHO recommended attributes that emphasize right-sizing the surveillance system to ensure its stability and maximizing its geographic representativeness. This experience may guide other countries interested in adopting WHO's influenza surveillance standards for sentinel site selection.
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