Evidence map›Paper›PMID 42327490›Full record

ArticleNew microbes and new infections2026

Spatiotemporal trends, evolving seasonality and symptoms of dengue in Bangladesh, 2019-2025.

Afsana Khan, Nazmul Sharif, Nadim Sharif, Shuvra Kanti Dey

Abstract read
In one paragraph

Article in New microbes and new infections, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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5 · Who and what money

Authors and funding

4 authors.

Afsana KhanDepartment of Statistics, Jahangirnagar University, Savar, Dhaka, 1342, Bangladesh.
Nazmul SharifDepartment of Mathematics, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh.
Nadim SharifDepartment of Microbiology, Jahangirnagar University, Savar, Dhaka, 1342, Bangladesh.
Shuvra Kanti DeyDepartment of Microbiology, Jahangirnagar University, Savar, Dhaka, 1342, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bangladesh has experienced an unprecedented increase in dengue incidence since 2019, with altered transmission patterns indicating changes in geographic spread, seasonality, and disease severity. We aimed to investigate ongoing trends in epidemiology, seasonality, and changes in disease prognosis from 2000 to 2025. Methods: We screened and analyzed data from the national dengue surveillance system (2000-2025) and environmental factors from the World Bank Climate Portal and national meteorological databases. We compared prevalence, incidence, rural to urban distribution, disease prognosis and seasonality between 2000-2018 and 2019-2025. Results: Dengue transmission in rural and semi-urban regions increased sharply from 2019, with rural-to-urban incidence ratios increasing from 0.11 to 0.41 (2000-2018) to 0.86-2.12 (2019-2025). SIRs declined in major hotspot cities despite significant increase of nationwide cases. After 2019, the seasonal peak shifted toward October-November, with significantly higher incidence ( Conclusion: Our study suggests possible changes in epidemiologic and clinical trends of dengue and underscores the need for continuous vector surveillance, integrated virological and serological studies to address the emerging risks and predict the interventions.

Indexed as

BangladeshDengue outbreaksEpidemiologySeasonalitySpatiotemporal distribution

Identifiers

PMID42327490
PMCPMC13277491

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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.