Evidence map›Paper›PMID 40426088›Full record

ArticleBMC health services research2025

Evaluation of the sentinel surveillance system for influenza-like illness and severe acute respiratory infection in Ethiopia during the COVID-19 pandemic, 2021-2023.

Tsegaye Berkessa, Adamu Tayachew, Ayele Gebeyehu, Gizaw Teka, Wolde Shure, Admikew Agune, Adane Woldeab, Lehageru Gizachew, Ayinalem Alemu, Leuleseged Chekol and 11 more

Abstract read
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Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

21 authors.

Tsegaye BerkessaEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Adamu TayachewEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Ayele GebeyehuEthiopian Public Health Institute, Addis Ababa, Ethiopia. gebeyehu29@gmail.com.
Gizaw TekaEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Wolde ShureEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Admikew AguneEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Adane WoldeabEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Lehageru GizachewThe Ohio State University Global One Health, Addis Ababa, Ethiopia.
Ayinalem AlemuEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Leuleseged ChekolThe Ohio State University Global One Health, Addis Ababa, Ethiopia.
Melaku GontaEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Fetlework KugnaEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Aster HailemariamEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Fekede ItefaEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Ergetu GedefawEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Mandefro KebedeEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Zelalem MekuriaThe Ohio State University Global One Health initiative (GOHi), Columbus, OH, USA.
Desalegne MengeshaThe Ohio State University Global One Health, Addis Ababa, Ethiopia.
Mesay HailuEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Melkamu AbteEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Mesfin WossenEthiopian Public Health Institute, Addis Ababa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe World Health Organization (WHO) recommends periodic evaluation of influenza surveillance systems. Such information would enable countries to assess the performance of their surveillance systems, identify shortfalls for improvement, and provide evidence of data reliability for policymaking and public health interventions. However, such data is lacking after the integration of other respiratory viruses into the existing influenza sentinel surveillance system in Ethiopia.

methodsWe evaluated a total of 20 influenza-like illness (ILI)/ severe acute respiratory infection (SARI) sentinel sites using CDC guidelines that focused on the performance of the system from January 2021 to December 2023. The performance of the system was evaluated using ten surveillance attributes: (i) data quality and completeness for key variables, (ii) timeliness, (iii) representativeness, (iv) simplicity, (v) acceptability, (vi) utility, (vii) flexibility, (viii) stability, (ix) Sustainability, and (x) sensitivity. A structured evaluation tool consisting of 57 indicators was adopted with modifications from standard surveillance system evaluation guidelines and similar studies conducted in other African countries. Data were collected through record review (including CRFs, case enrollment logs, weekly reports, laboratory registrations, guidelines, bulletins, and publications) and interviews of key personnel across the surveillance system. Each indicator was scored out of 100% using the weighted average. The overall mean score of the attribute was scored from 1 to 3 and categorized as follows: < 60% weak performance; 60-79% moderate performance; ≥80% good performance.

resultsAbout 18,724 cases were enrolled in ILI/SARI sentinel sites between January 2021 and December 2023 in the country. Among the total enrolled cases, Influenza, SARS-CoV-2, and RSV were detected in 1,648, 937, and 1,164 patients respectively. The overall mean score of the system during the study period was 2.5 (moderate to good performance). The evaluation showed that data quality and completeness, timeliness, simplicity, and stability were scored moderate to good performance while acceptability and sustainability measured weak performance. From the total indicators, 37(65%) of them scored good performance, however only 3(5%) of them scored weak performance.

conclusionsThe overall performance of ILI/SARI sentinel surveillance was assessed as moderate to good. Data quality, completeness, timeliness, simplicity, and stability were rated as moderate to good. However, the acceptability and sustainability of the surveillance system require further attention to enhance the overall effectiveness of ILI/SARI sentinel surveillance in the country.

Indexed as

COVID-19Influenza, HumanSentinel SurveillanceEthiopiaHumansPandemicsSARS-CoV-2EthiopiaEvaluationILI/SARI sentinelSurveillance

Identifiers

PMID40426088
PMCPMC12107717

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.