Evidence map›Paper›PMID 40469930›Full record

ArticleIJID regions2025

The 2023 dengue fatality in Bangladesh: Spatial and demographic insights.

Md Asaduzzaman, Emil Arham Khan, Mohammad Nayeem Hasan, Mahbubur Rahman, Shah Ali Akbar Ashrafi, Farhana Haque, Najmul Haider

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IJID regions, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

7 authors.

Md AsaduzzamanDepartment of Engineering, University of Staffordshire, Stoke on Trent, UK.
Emil Arham KhanWestlake High School, 4100 Westbank Drive, Austin, TX 78746, USA.
Mohammad Nayeem HasanDepartment of Statistics, Shahjalal University of Science and Technology, Sylhet, Bangladesh.
Mahbubur RahmanInstitute of Epidemiology, Disease Control and Research (IEDCR), Ministry of Health and Family Welfare, Mohakhali, Dhaka, Bangladesh.
Shah Ali Akbar AshrafiManagement Information System, Ministry of Health and Family Welfare, Dhaka, Bangladesh.
Farhana HaqueUK Public Health Rapid Support Team (UK PHRST), Department of Infectious Disease Epidemiology and Dynamics, London School of Hygiene & Tropical Medicine (LSHTM), London, UK.
Najmul HaiderSchool of Life Sciences, Faculty of Natural Sciences, Keele University, Staffordshire, ST5 5BG, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: In 2023, Bangladesh faced the largest dengue outbreak, resulting in 321,179 confirmed cases and 1705 fatalities. This study aims to characterize dengue fatalities and analyze their determinants and spatial influence. Methods: Using data from the Management Information System of the Ministry of Health and Family Welfare, we characterized dengue mortality and conducted a linear regression analysis to determine the impact of age groups and gender on case fatality rate (CFR). We used a geographically weighted Poisson regression model to assess the spatial influence and impact of population factors. Results: Women had a higher CFR than men (0.75% vs 0.38%, Conclusions: Bangladesh's 2023 dengue outbreak resulted in significant mortality, particularly, among older age groups. Fatalities were clustered in Dhaka City and its neighboring districts, especially in the south.

Indexed as

Dengue mortalityGeographical influenceGeographically weighted Poisson modelPopulation burdenSpatial cluster

Identifiers

PMID40469930
PMCPMC12136800

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.