Evidence map›Paper›PMID 40096119›Full record

ArticlePLoS neglected tropical diseases2025

Unraveling the dynamics of dengue in Metahara town, East Shewa, Oromia, Ethiopia, 2023.

Bikila Negesa Gobena, Teshome Kabeta Dadi, Gemechu Chemeda Feyisa, Birhanu Kenate, Gemechu Shumi, Fantahun Workie, Haimanot Workie, Ebise Djirata, Dabesa Gobena

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2025. 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

9 authors.

Bikila Negesa GobenaEthiopian Field Epidemiology and Laboratory Training Program Resident, Jimma University, Jimma, Ethiopia.ORCID 0009-0003-1933-4238
Teshome Kabeta DadiDepartment of Epidemiology, Faculty of public health, Jimma University, Jimma, Ethiopia.
Gemechu Chemeda FeyisaDepartment of Epidemiology, Faculty of public health, Jimma University, Jimma, Ethiopia.
Birhanu KenatePublic Health Emergency Management and Health Research Directorate, Oromia Health Bureau, Addis Ababa, Ethiopia.
Gemechu ShumiPublic Health Emergency Management and Health Research Directorate, Oromia Health Bureau, Addis Ababa, Ethiopia.
Fantahun WorkieDisease and Health Events Surveillance and Response Directorate, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Haimanot WorkieDisease and Health Events Surveillance and Response Directorate, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Ebise DjirataDisease and Health Events Surveillance and Response Directorate, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Dabesa GobenaPublic Health Emergency Management and Health Research Directorate, Oromia Health Bureau, Addis Ababa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince 2013, dengue cases have shown a marked increase in Ethiopia. The current suspected outbreak occurring in Metahara town, Oromia Regional State, began in July 2023. This study aimed to confirm and characterize the outbreak, identify risk factors, and implement control measures.

methodsWe conducted a descriptive study and an unmatched case-control design, using a one-to-two ratio of cases to controls. We collected data on the dengue outbreak using line lists, laboratory test results, environmental observations, home visits, and entomological examinations. We selected a total of 50 cases using simple random sampling from the line list and purposively chose 100 controls from the same block. We applied community-based face-to-face interviews with 150 participants. After gathering data through Kobo Collect, we analyzed it using Statistical Package for the Social Sciences (SPSS) version 26 and summarized the findings in Microsoft Excel 2013. A binary logistic regression model was employed to identify significant variables, with p-values ≤ 0.25 in bivariate analysis considered for the final model. Crude and adjusted odds ratios (OR and AOR) were used to measure associations, with p-values ≤ 0.05 indicating significance.

resultsThe investigation confirmed 342 dengue cases, corresponding to an attack rate of 7.1 per 1,000 population and a case fatality rate of 0.88%. Significant risk factors included not using long-lasting insecticide nets during the daytime (9-fold increased likelihood) and having open water containers (5-fold increased likelihood. Respondents lacking disease awareness were 25 times more likely to be infected, while wearing long-sleeved clothing conferred a protective effect of 75% reduction in risk.

conclusionThe dengue outbreak in Metahara town was driven by epidemiological, entomological, and environmental factors, with Aedes aegypti as the primary vector. The ongoing circulation of DENV-3, coupled with insufficient vector control measures, poses a serious public health threat. Key contributing factors to the outbreak include the lack of utilization of long-lasting insecticide nets (LLINs) during the daytime, improper water storage practices, insufficient public knowledge regarding transmission and prevention strategies, and inadequate protective clothing choices that increase vulnerability to mosquito bites. Strategies including vector control, community education, promotion of protective clothing, and improved surveillance were recommended.

Indexed as

DengueDisease OutbreaksAdolescentAdultAgedChildChild, PreschoolDengue VirusEthiopiaFemaleHumansInfantMaleMiddle AgedPrevalenceRisk Factors

Identifiers

PMID40096119
PMCPMC11957386

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.