ArticleThe Pan African medical journal2025
The influenza virus sentinel surveillance: results of system evaluation in Mozambique, 2016-2021.
Article in The Pan African medical journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Increasing Underrepresentation of Pacific Peoples in Community-Based Respiratory Surveillance in Aotearoa New Zealand, 2018-2024.Journal of the Royal Society of New Zealand · 2026Article
- Utility of sentinel surveillance as an early warning system for emerging pathogens in a low-resource setting: Correlations of dengue, chikungunya, Zika, and COVID-19 trends between sentinel and passive surveillance systems in Puerto Rico, 2012-2023.PLOS global public health · 2026Article
- Evaluation of the early warning alert and response system mobile pilot for East and Central Darfur, Sudan.The Pan African medical journal · 2026Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The 2009 influenza pandemic has caused health challenges around the world. Mozambique has faced challenges in implementing surveillance systems, which are obstacles to the timely detection of outbreaks and epidemics. It is intended to evaluate the performance of the influenza sentinel surveillance system between 2016 and 2021. A descriptive-cross-sectional evaluation of the influenza sentinel surveillance system was conducted at the sentinel posts in Maputo. The sample was calculated, and a simple random sampling technique was used to select the 372 patient record forms. Microsoft Excel and Tableau were used for frequency calculations. Based on the Centers for Disease Control - 2001 script, data quality, stability, sensitivity, representativeness, timeliness, and positive predictive value were evaluated. 28.0% (1,305/4,660) of the analyzed samples had positive results, and 56.1% (2,617/4,660) were male. The system obtained data completeness and consistency of 69.9% (3,260/4,660) and 68% (355/372), respectively. It obtained a sensitivity of 77.5% (842/1,086) in 2017, a representative in 98.4% 1,285/1,305 of the neighborhoods, the opportunity of 50.4% (2,349/4,660), and a positive predictive value of 31.4% (410/1,305). The system proved to be useful, providing reliable data on influenza viral circulation. Continuous influenza monitoring would promote prevention interventions in the most vulnerable groups.
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