Evidence map›Paper›PMID 42391264›Full record

ArticlePloS one2026

Incidence of Dengue Fever in Pakistan.

Zarmeen Nasim, Robert C Reiner, Sana Sheikh, Nida Saddaf Khan, Mushyada Ali, Isbaah Tejani, Mirza Tayyab Mehmood, Javerya Hassan, Khalid Aziz, Joveria Farooqi and 16 more

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

26 authors.

Zarmeen NasimCITRIC Health Data Science Centre, The Aga Khan University, Karachi, Pakistan.ORCID https://orcid.org/0000-0002-6972-6665
Robert C ReinerInstitute for Health Metrics and Evaluation, Seattle, Washington, United states of America.
Sana SheikhCITRIC Health Data Science Centre, The Aga Khan University, Karachi, Pakistan.
Nida Saddaf KhanCITRIC Health Data Science Centre, The Aga Khan University, Karachi, Pakistan.
Mushyada AliCITRIC Health Data Science Centre, The Aga Khan University, Karachi, Pakistan.
Isbaah TejaniCITRIC Health Data Science Centre, The Aga Khan University, Karachi, Pakistan.
Mirza Tayyab MehmoodCITRIC Health Data Science Centre, The Aga Khan University, Karachi, Pakistan.
Javerya HassanCITRIC Health Data Science Centre, The Aga Khan University, Karachi, Pakistan.
Khalid AzizCITRIC Health Data Science Centre, The Aga Khan University, Karachi, Pakistan.
Joveria FarooqiDepartment of Pathology & Laboratory Medicine, The Aga Khan University, Karachi, Pakistan.ORCID https://orcid.org/0000-0002-9921-4660
Najia GhanchiDepartment of Pathology & Laboratory Medicine, The Aga Khan University, Karachi, Pakistan.
Erum KhanDepartment of Pathology & Laboratory Medicine, The Aga Khan University, Karachi, Pakistan.
Rafey AliDepartment of Paediatrics and Child Health, The Aga Khan University, Karachi, Pakistan.
Imran Ahmed ChauhadryDepartment of Paediatrics and Child Health, The Aga Khan University, Karachi, Pakistan.
Aun RazaShaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, Pakistan.ORCID https://orcid.org/0000-0002-8045-4963
Sadia HassanShaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, Pakistan.
Faisal SultanShaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, Pakistan.ORCID https://orcid.org/0000-0002-2618-988X
Omar ChughtaiChemical Pathology, Chughtai Institute of Pathology, Lahore, Pakistan.
Hijab BatoolChemical Pathology, Chughtai Institute of Pathology, Lahore, Pakistan.
Ali RehmanIntegrated Disease Surveillance and Response System, National Institute of Health, Islamabad, Pakistan.
Mumtaz Ali KhanCentre for Disease Control (CDC), National Institutes of Health, Islamabad, Pakistan.
Samuel OstroffInstitute for Health Metrics and Evaluation, Seattle, Washington, United states of America.
Ali H MokdadInstitute for Health Metrics and Evaluation, Seattle, Washington, United states of America.
Nosheen NasirDepartment of Medicine, The Aga Khan University, Karachi, Pakistan.ORCID https://orcid.org/0000-0003-1610-8748
Zainab SamadCITRIC Health Data Science Centre, The Aga Khan University, Karachi, Pakistan.
Bilal Ahmed UsmaniDepartment of Community Health Sciences, The Aga Khan University, Karachi, Pakistan.ORCID https://orcid.org/0000-0002-6466-1049

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDengue is a growing health threat in Pakistan due to climate, urbanization, and inadequate sanitation. Despite recurrent seasonal outbreaks, comprehensive evidence on the dengue burden in Pakistan remains limited due to due to underreporting, incomplete data capture, and inconsistencies in diagnostic practices.

methodsWe analyzed laboratory-confirmed dengue cases from January 2012 to December 2022 to estimate incidence rates per 1,000 individuals across Pakistan at the subnational level including all 4 provinces, 86 districts, and a federal territory, stratified by 5 distinct age groups (below 5 years, 5-14 years, 15-49 years, 50-69 years, and 70 + years) and sex. The population estimates were adjusted to account for variations in treatment-seeking behavior and the utilization of partnering laboratories to ensure that the estimated incidence rates accurately represent the broader population.

resultsThe incidence rate of dengue in Pakistan exhibited an increasing trend. Across all age groups, the 15-49 years age group had the highest incidence rates, with 56 cases per 1,000 individuals in 2022 (estimated 1.6 million cases). Sex analysis showed a higher proportion of dengue cases in males compared to females, consistent across all age groups. Spatial analysis revealed regional disparities, with higher incidence rates reported from Sindh compared to other provinces. In 2022, Sindh had the highest incidence rate of 45.63 (95% UI: 34.13-60.68) per 1000 individuals (2.63 million estimated cases), while Baluchistan had the lowest incidence rates of 0.44 (95% UI: 0.08-4.48) per 1,000 individuals (6,785 estimated cases). All age groups experienced increasing incidence, with the 15-49 age group showing the most pronounced rise.

conclusionThe findings underscore the growing burden of dengue in Pakistan, highlighting the urgent need for effective public health interventions and enhanced data collection mechanisms to better understand and address this rising public health concern.

Indexed as

DengueAdolescentAdultAgedChildChild, PreschoolFemaleHumansIncidenceMaleMiddle AgedPakistanYoung Adult

Identifiers

PMID42391264
PMCPMC13327124

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.