Evidence map›Paper›PMID 41979541›Full record

ArticleTransactions of the Royal Society of Tropical Medicine and Hygiene2026

Epidemiological characterisation of dengue fever across Saudi Arabia.

Reem A Bin Suaydan, Waleed S Al Salem, Eitezaz A Zaki, Zenaida S Stead, Lama Alrasheed, Roua A Alsubki

Abstract read
In one paragraph

Article in Transactions of the Royal Society of Tropical Medicine and Hygiene, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

6 authors.

Reem A Bin SuaydanDepartment of Clinical Laboratory Science, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia.
Waleed S Al SalemSaudi Ministry of Environment, Water and Agriculture, Riyadh 11195, Saudi Arabia.
Eitezaz A ZakiMolecular Biology Department, Jeddah Regional Lab, Ministry of Health, Jeddah 23441, Saudi Arabia.
Zenaida S SteadNational Livestock and Fisheries Development Program, Riyadh 11195, Saudi Arabia.
Lama AlrasheedNational Livestock and Fisheries Development Program, Riyadh 11195, Saudi Arabia.
Roua A AlsubkiDepartment of Clinical Laboratory Science, Chair of Medical and Molecular Genetics Research, College of Applied Medical Science, King Saud University, Riyadh 11433, Saudi Arabia.

Funding

Ministry of Environment, Water, and Agriculture, Saudi Arabia
6 · The paper itself

Abstract

backgroundDengue fever is an emerging public health threat in Saudi Arabia. To guide evidence-based vector control, this study aimed to characterise the epidemiological and clinical patterns of infections across key regions in the Kingdom between 2022 and 2024.

methodsA total of 2850 serum samples from suspected dengue patients were collected from hospitals in seven regions in Saudi Arabia. RNA extraction and dengue virus detection were conducted using standardised reverse transcription polymerase chain reaction (RT-PCR) protocols. Statistical analysis was applied to identify the sociodemographic predictors of PCR-confirmed dengue.

resultsAmong the 2850 individuals tested, 1447 (50.8%) were PCR positive. Most cases (n=1269) occurred in 2023, with Makkah alone recording 801 cases. Males represented 73.5% of PCR-positive cases, while non-Saudi nationals accounted for 47.7%. Multivariable regression showed significantly lower odds of positivity among females (odds ratio [OR] 0.65 [95% confidence interval {CI} 0.55 to 0.76], p<0.001) and higher odds among non-Saudi nationals (OR 1.17 [95% CI 1.00 to 1.38], p=0.050). Despite the relatively low caseloads, Jazan and Asir had higher adjusted odds compared with Madinah.

conclusionsDengue transmission shows strong geographic, demographic and seasonal variation, with evidence of epidemic activity in 2023. These findings underscore the need for targeted vector control and enhanced surveillance in high-risk regions.

Indexed as

DengueDengue VirusAdolescentAdultAnimalsChildChild, PreschoolFemaleHumansMaleMiddle AgedSaudi ArabiaSeasonsYoung Adultdengue feverepidemiologySaudi Arabiaseasonal variation

Identifiers

PMID41979541
PMCPMC13245387

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.