Evidence map›Paper›PMID 38982363›Full record

ArticleBMC infectious diseases2024

Evaluation of the sentinel yellow fever surveillance system in Uganda, 2017-2022: strengths and weaknesses.

Mercy Wendy Wanyana, Patrick King, Richard Migisha, Benon Kwesiga, Paul Edward Okello, Daniel Kadobera, Lilian Bulage, Joshua Kayiwa, Annet Martha Nankya, Alex Riolexus Ario and 1 more

Abstract readEvaluation Study
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Mercy Wendy WanyanaUganda Public Health Fellowship Program, Uganda National Institute of Public Health, Kampala, Uganda. mwanyana@uniph.go.ug.
Patrick KingUganda Public Health Fellowship Program, Uganda National Institute of Public Health, Kampala, Uganda.
Richard MigishaUganda Public Health Fellowship Program, Uganda National Institute of Public Health, Kampala, Uganda.
Benon KwesigaUganda Public Health Fellowship Program, Uganda National Institute of Public Health, Kampala, Uganda.
Paul Edward OkelloUganda Public Health Fellowship Program, Uganda National Institute of Public Health, Kampala, Uganda.
Daniel KadoberaUganda Public Health Fellowship Program, Uganda National Institute of Public Health, Kampala, Uganda.
Lilian BulageUganda Public Health Fellowship Program, Uganda National Institute of Public Health, Kampala, Uganda.
Joshua KayiwaMinistry of Health, Uganda National Institute of Public Health, Kampala, Uganda.
Annet Martha NankyaArbovirology Department, Uganda Virus Research Institute, Entebbe, Uganda.
Alex Riolexus ArioMinistry of Health, Uganda National Institute of Public Health, Kampala, Uganda.
Julie R HarrisUS Centers for Disease Control and Prevention, Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUganda has a sentinel surveillance system in seven high-risk sites to monitor yellow fever (YF) patterns and detect outbreaks. We evaluated the performance of this system from 2017 to 2022.

methodsWe evaluated selected attributes, including timeliness (lags between different critical time points), external completeness (proportion of expected sentinel sites reporting ≥ 1 suspect case in the system annually), and internal completeness (proportion of reports with the minimum required data elements filled), using secondary data in the YF surveillance database from January 2017-July 2022. We conducted key informant interviews with stakeholders at health facility and national level to assess usefulness, flexibility, simplicity, and acceptability of the surveillance system.

resultsIn total, 3,073 suspected and 15 confirmed YF cases were reported. The median time lag from sample collection to laboratory shipment was 37 days (IQR:21-54). External completeness was 76%; internal completeness was 65%. Stakeholders felt that the surveillance system was simple and acceptable, but were uncertain about flexibility. Most (71%) YF cases in previous outbreaks were detected through the sentinel surveillance system; data were used to inform interventions such as intensified YF vaccination.

conclusionThe YF sentinel surveillance system was useful in detecting outbreaks and informing public health action. Delays in case confirmation and incomplete data compromised its overall effectiveness and efficiency.

Indexed as

Disease OutbreaksSentinel SurveillanceYellow FeverHumansUgandaEvaluationSurveillance systemUgandaYellow fever

Identifiers

PMID38982363
PMCPMC11234539

What OpenQuestion holds

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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.