Evidence map›Paper›PMID 31742559›Full record

ArticleJMIR public health and surveillance2019

An Electronic Disease Early Warning System in Sana'a Governorate, Yemen: Evaluation Study.

Mona Mayad, Reema Alyusfi, Ali Assabri, Yousef Khader

Open access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 2019. 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
1.3field-weighted citation impact, top 20% of its field
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, 12 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Mona MayadYemen Field Epidemiology Training Program, Administrator of Epidemiology Administration in National Center of Public Health Laboratories, Sana'a, Yemen.ORCID https://orcid.org/0000-0002-3029-8894
Reema AlyusfiElectronic Disease Early Warning System, Electronic Disease Early Warning System, eDEWS National Coordinator, Sana'a, Yemen, Sana'a, Yemen.ORCID https://orcid.org/0000-0003-3276-7735
Ali AssabriYemen Field Epidemiology Training Program, Administrator of Epidemiology Administration in National Center of Public Health Laboratories, Sana'a, Yemen.ORCID https://orcid.org/0000-0002-5877-0265
Yousef KhaderDepartment of Public Health., Jordan University of Science & Technology, Aman, Jordan.ORCID https://orcid.org/0000-0002-7830-6857
Early Warning (United States) · USJordan University of Science and Technology · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElectronic Disease Early Warning System (eDEWS) is one of the effective programs in epidemiological surveillance.

objectiveThis study aimed to identify the strengths and weaknesses of eDEWS in Sana'a governorate, determine its usefulness, and assess its performance in terms of the system attributes, including simplicity, flexibility, data quality, acceptability, representativeness, timeliness, and stability.

methodsUpdated guidelines on the evaluation of public health surveillance from the Center for Disease Control and Prevention (CDC) were used to evaluate the eDEWS in Sana'a governorate. Stakeholders from different levels were interviewed about the performance of the eDEWS.

resultsThe overall score for the usefulness of the eDEWS was good (mean=83%). The overall system performance was good (86%). The highest attribute score was 100% for representativeness and the lowest score was 70% for stability. The system simplicity and acceptability were good. Although the system representativeness and flexibility were excellent, the stability was average. System completeness and timeliness were 100%.

conclusionsIn conclusion, eDEWS in Yemen is useful and met its main objective. The overall level of system performance was good.

Indexed as

eDEWSevaluationfield epidemiologyYemen

Identifiers

PMID31742559
PMCPMC6913776
OpenAlexW2963044346

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.