Evidence map›Paper›PMID 36158746›Full record

ArticleThe Pan African medical journal2022

Delayed outbreak detection: a wake-up call to evaluate a surveillance system.

Lilian Bulage, Daniel Kadobera, Benon Kwesiga, Steven Ndugugwa Kabwama, Alex Riolexus Ario, Julie Rebecca Harris

Abstract readCase Reports
In one paragraph

Article in The Pan African medical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Lilian BulageUganda National Institute of Public Health, P.O Box 7272, Kampala, Uganda.
Daniel KadoberaUganda National Institute of Public Health, P.O Box 7272, Kampala, Uganda.
Benon KwesigaUganda National Institute of Public Health, P.O Box 7272, Kampala, Uganda.
Steven Ndugugwa KabwamaCollege of Health Sciences, Makerere University School of Public Health, Kampala, Uganda.
Alex Riolexus ArioUganda National Institute of Public Health, P.O Box 7272, Kampala, Uganda.
Julie Rebecca HarrisUnited States Centers for Disease Control and Prevention, Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During May, 83 of the 120 districts in Uganda had reported malaria cases above the upper limit of the normal channel. Across all districts, cases had exceeded malaria normal channel upper limits for an average of six months. Yet no alarms had been raised! Starting in 2000, Uganda adopted the World Health Organization (WHO) Integrated Disease Surveillance and Response (IDSR) strategy for disease reporting, including for malaria. Even early on, however, it was unclear how effectively IDSR and DHIS2 were being used in Uganda. Outbreaks were consistently detected late, but the underlying cause of the late detection was unclear. Suspecting there might be gaps in the surveillance system that were not immediately obvious, the Uganda FETP was asked to evaluate the malaria surveillance system in Uganda. This case study teaches trainees in Field Epidemiology and Laboratory Training Programs, public health students, public health workers who may participate in evaluation of public health surveillance systems, and others who are interested in this topic on reasons, steps, and attributes and uses the surveillance evaluation approach to identify gaps and facilitates discussion of practical solutions for improving a public health surveillance system.

Indexed as

Disease OutbreaksPublic Health SurveillanceHealth PersonnelHumansPublic HealthWorld Health OrganizationCase Studymalariaoutbreak detectionsurveillance system evaluationUganda

Identifiers

PMID36158746
PMCPMC9474847

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.