Evidence map›Paper›PMID 39495476›Full record

ReviewJournal of epidemiology and global health2024

Investigating the Determinants of Dengue Outbreak in Oman: A Study in Seeb.

Abdullah Al-Manji, Anak Agung Bagus Wirayuda, Adil Al Wahaibi, Mohammed Al-Azri, Moon Fai Chan

Abstract readReview
In one paragraph

Review in Journal of epidemiology and global health, 2024. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

5 authors.

Abdullah Al-ManjiDepartment of Family Medicine and Public Health, Sultan Qaboos University, Muscat, Oman.
Anak Agung Bagus WirayudaDepartment of Family Medicine and Public Health, Sultan Qaboos University, Muscat, Oman.ORCID 0000-0002-2862-5489
Adil Al WahaibiSurveillance Department, Ministry of Health, Muscat, Oman.
Mohammed Al-AzriDepartment of Family Medicine and Public Health, Sultan Qaboos University, Muscat, Oman.ORCID 0000-0002-6136-4081
Moon Fai ChanDepartment of Family Medicine and Public Health, Sultan Qaboos University, Muscat, Oman. moonf@squ.edu.om.ORCID 0000-0002-2899-3118

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study investigates the key factors contributing to the dengue outbreak in Oman.

methodsData on climate (e.g., temperature, humidity, wind pace), population traits (e.g., populace density), and vector dynamics (e.g., mosquito density) within the Seeb district of Oman from 2022 to 2023 were gathered. The partial least squares structural equation modeling (PLS-SEM) was performed to study which variables affect dengue outbreaks.

resultsThe results indicate that climatic factors significantly affect the dengue vector (β = -0.361, p < 0.001) but do not directly impact the dengue outbreak. Population characteristics, however, have a more substantial impact on dengue transmission, with a total effect (β = 0.231, p = 0.002) being relatively higher than that of the vector itself (total effect: β = 0.116, p < 0.001).

conclusionsEven with ongoing vector intervention efforts, the study underscores the need to include innovative public health interventions when considering environmental and demographic factors. More advantageous surveillance and focused interventions in excessive-threat regions are essential to mitigate the effect of dengue in Oman.

Indexed as

DengueDisease OutbreaksAedesAnimalsClimateHumansMosquito VectorsOmanAedes aegyptiClimatic factorsDengue feverOmanPopulation densityVector control

Identifiers

PMID39495476
PMCPMC11652432

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.