Evidence map›Paper›PMID 39137768›Full record

ArticleThe American journal of tropical medicine and hygiene2024

Assessment of the COVID-19 Surveillance System in Sudan: Performance, Limitations, and Recommendations.

Nouh Saad Mohamed, Yousif Ali, Emmanuel Edwar Siddig, Ayman Ahmed

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Article in The American journal of tropical medicine and hygiene, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
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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

4 authors.

Nouh Saad MohamedMolecular Biology Unit, Sirius Training and Research Centre, Khartoum, Sudan.
Yousif AliSudan Field Epidemiology Training Program, Health Emergencies and Epidemics Control General Directorate, Sudan Federal Ministry of Health, Khartoum, Sudan.
Emmanuel Edwar SiddigFaculty of Medical Laboratory Sciences, University of Khartoum, Khartoum, Sudan.
Ayman AhmedSwiss Tropical and Public Health Institute (Swiss TPH), Allschwil, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing the COVID-19 surveillance system is vital. It identifies cases swiftly and is crucial in curbing COVID-19 spread, especially among vulnerable groups. Public health surveillance collects, analyzes, and shares data systematically, informing actions to lessen disease impact. Here we used a mixed-approach method to assess the COVID-19 surveillance system in Sudan by reviewing the secondary data (line list) from January 28, 2020 to November 2, 2022. The system's effectiveness was rated weak based on the poor quality and incompleteness of the collected data, as well as the reporting process to policymakers and responders. Moreover, the system's acceptability score was low, mainly because of the incompleteness and delays in data reported from the private sector. This assessment recommends that the Federal Ministry of Health invest in improving the surveillance system by building the technical capacity of the staff, infrastructure, and utilization of the District Health Information Software-2 for data collection, analysis, and dissemination.

Indexed as

COVID-19HumansPublic Health SurveillanceSARS-CoV-2Sudan

Identifiers

PMID39137768
PMCPMC11542507

What OpenQuestion holds

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Registered trials

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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.