Evidence map›Paper›PMID 41644307›Full record

ArticleEpidemiology and infection2026

Unravelling the dengue surge in South Asia during 2000-2023: pattern, trend, genomics, and key determinants.

Md Asaduzzaman, Mohammad Nayeem Hasan, Md Abdullah Omar Nasif, Dilini Mataraarachchi, Ehsan Ahmed Larik, Joshua Onyango, Masum Billah, Avinash Sharma, Mahbubur Rahman, Farhana Haque and 3 more

Abstract read
In one paragraph

Article in Epidemiology and infection, 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
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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

13 authors.

Md AsaduzzamanDepartment of Engineering, School of Digital, Technology, Innovation and Business,University of Staffordshire, Stoke-on-Trent ST4 2DE, United Kingdom.ORCID https://orcid.org/0000-0002-8885-6721
Mohammad Nayeem HasanSchool of Public Health, University of Memphis, TN 38152, USA.ORCID https://orcid.org/0000-0002-2383-0459
Md Abdullah Omar NasifInstitute of Epidemiology, Disease Control and Research, Mohakhali, Dhaka, Bangladesh.
Dilini MataraarachchiMinistry of Health, Rev. Baddegama Wimalawansa Thero Mawatha, Colombo 10, Sri Lanka.
Ehsan Ahmed LarikFELTP Health Department Government of Balochistan, Pakistan.
Joshua OnyangoHarper-Keele Veterinary School, Keele University, Staffordshire, ST5 5BG, United Kingdom.
Masum BillahDepartment of Engineering, School of Digital, Technology, Innovation and Business,University of Staffordshire, Stoke-on-Trent ST4 2DE, United Kingdom.
Avinash SharmaBRIC-National Centre for Cell Science, India.
Mahbubur RahmanInstitute of Epidemiology, Disease Control and Research, Mohakhali, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0001-8577-8281
Farhana HaqueUK Public Health Rapid Support Team, Department of Infectious Disease Epidemiology and Dynamics, London School of Hygiene and Tropical Medicine (LSHTM), London WC1E 7HT, United Kingdom.ORCID https://orcid.org/0000-0002-4308-2857
Danai PapakonstantinouInstitute for Global Health and Wellbeing, School of Medicine, Keele University, Staffordshire, ST5 5BG, United Kingdom.
Priyamvada PaudyalInstitute for Global Health and Wellbeing, School of Medicine, Keele University, Staffordshire, ST5 5BG, United Kingdom.
Najmul HaiderSchool of Life Sciences, Faculty of Natural Sciences, Keele University, Staffordshire, ST5 5BG, United Kingdom.ORCID https://orcid.org/0000-0002-5980-3460

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to analyse the patterns, trends, genomic characteristics, and key determinants of dengue virus (DENV) infections and associated deaths in South Asia from 2000 to 2023. We collected data from the World Health Organization dengue surveillance dashboard and the health ministries of respective countries, and publicly available data from eight South Asian (SA) countries. Descriptive measures, data visualization techniques, and time series analysis were used to identify key patterns and trends of DENV. A time-scaled phylogenetic analysis was carried out to explore the genomic epidemiology and evolution of DENV. A generalized linear model (GLM) was fitted to identify climatic, demographic, and socioeconomic factors. Between 2000 and 2023, SA countries showed a sharp increase in dengue cases and deaths, contributing to 6.5% of cases and 11.07% of deaths caused by DENV globally. The total cases in the region are projected to grow by approximately 40%, and total deaths by 61% by 2033. The predominant genotypes were DENV2/II, DENV3/I, and DENV3/III. GLM underscores climatic, demographic, and socioeconomic factors associated with DENV infection and deaths. The findings urge intensified public health measures emphasising the need for comprehensive interventions, including vector control, climate adaptation, and strengthened healthcare systems to de-escalate the situation.

Indexed as

DengueDengue VirusAsia, SouthernGenomicsGenotypeHumansPhylogenyclimate variabilitydengue casesdengue mortalityDENV serotypesgeneralized linear modelSouth Asiatime series analysis

Identifiers

PMID41644307
PMCPMC12964148

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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.