Evidence map›Paper›PMID 31596152›Full record

ArticleInquiry : a journal of medical care organization, provision and financing

Evaluation of Two Malaria Surveillance Systems in Yemen Using Updated CDC Guidelines: Lessons Learned and Future Perspectives.

Labiba Saeed Anam, Moamer Mohamed Badi, Methaq Abdullah Assada, Abdelwahed Abdelgabar Al Serouri

Abstract readEvaluation Study
In one paragraph

Article in Inquiry : a journal of medical care organization, provision and financing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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.

Labiba Saeed AnamMinistry of Public Health and Population, Sana'a, Yemen.ORCID 0000-0001-7927-4503
Moamer Mohamed BadiMinistry of Public Health and Population, Sana'a, Yemen.
Methaq Abdullah AssadaMinistry of Public Health and Population, Sana'a, Yemen.
Abdelwahed Abdelgabar Al SerouriMinistry of Public Health and Population, Sana'a, Yemen.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Yemen is classified as high malaria endemic area with two-thirds of population at risk. Currently, the National Malaria Control Program (NMCP) uses two malaria surveillance systems: the Integrated Malaria Surveillance System (IMSS) and the Early Disease Electronic Warning System (eDEWS). This study aimed to assess and compare the usefulness and attributes of the two malaria surveillance systems. The systems were evaluated according to the US Centers for Disease Control and Prevention (CDC) updated guidelines. Data were collected from 10 stakeholders through interviews and from 10 districts' coordinators and 20 health facilities' focal points using semistructured questionnaire. The score of the system attributes were interpreted as very poor, poor, average, good, and excellent according to the mean percent score. Both systems were found to be useful. The IMSS overall performance score was poor where flexibility was average and simplicity, acceptability, representativeness, and stability were poor. For eDEWS, the overall performance score was good where data quality, acceptability, and flexibility were excellent; simplicity was good; representativeness was average; and stability was poor. In conclusion, although the IMSS was found to be useful for assessing the burden of malaria, response to outbreak, and future planning, the overall performance was poor. While the eDEWS overall level of performance was good, it was found to be useful only for outbreak detection. Therefore, both surveillance systems need to be integrated for the advantages of both systems to be maintained.

Indexed as

Centers for Disease Control and Prevention, U.S.Guidelines as TopicSentinel SurveillanceSurveys and QuestionnairesDisease OutbreaksFemaleHealth PersonnelHumansMalariaMaleSeverity of Illness IndexUnited StatesYemenCDC guidelineseDEWS systemevaluationFETPnational malaria programYemen

Identifiers

PMID31596152
PMCPMC6785919

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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.