Understanding the unprecedented 2023 dengue outbreak in Bangladesh: a data-driven analysis

bracu.type.groupResearch Publications
datacite.rightsMetadata Only
dc.contributor.authorSubarna, Rifa Tamanna
dc.contributor.authorSaiyan, Zwad Al
dc.contributor.departmentDepartment of Mathematics and Natural Sciences
dc.date.accessioned2026-07-19T05:10:34Z
dc.date.available2026-07-19T05:10:34Z
dc.date.issued7/19/2026
dc.description.abstractThis study aims to elucidate the epidemiological characteristics, spatial distribution, and potential contributing factors associated with the 2022-2023 dengue outbreak in Bangladesh. Methods: We retrospectively analyzed dengue fever cases reported by national health surveillance systems, focusing on incidence, geographical spread, and fatalities. Statistical methods were used to explore correlations between population density, healthcare capacity, and disease prevalence. Results: Our study revealed that in 2023, dengue cases and deaths surged five-fold (from 62,382 to 320,835) and nearly six-fold (from 281 to 1699) compared with 2022. Major cities such as Dhaka and Chittagong emerged as epicenters with significantly higher caseloads and mortality rates. The analysis identified a strong positive correlation between population density and disease prevalence, suggesting urbanization as a contributing factor. In addition, a shift in the peak dengue season from August to September was observed. Furthermore, disparities in health care infrastructure were identified, with densely populated areas experiencing critical shortages of hospital beds, potentially impacting fatality rates. Conclusions: This unprecedented dengue outbreak in Bangladesh highlights the need for a multifaceted approach. Prioritizing vector control, targeted public awareness in identified hotspots, addressing healthcare resource inequities, and further research on environmental and demographic determinants of transmission are crucial for mitigating future outbreaks in Bangladesh.
dc.description.versionPublished
dc.format.extent8 pages
dc.identifier.citationSubarna, R. T., & Saiyan, Z. A. (2024). Understanding the unprecedented 2023 dengue outbreak in Bangladesh: a data-driven analysis. IJID Regions, 12, 100406. https://doi.org/10.1016/j.ijregi.2024.100406
dc.identifier.doi10.1016/j.ijregi.2024.100406
dc.identifier.issn27727076
dc.identifier.other2-s2.0-85200724184
dc.identifier.urihttps://hdl.handle.net/10361/28588
dc.language.isoen
dc.publisherElsevier Limited
dc.relation.hasversion10.1016/j.ijregi.2024.100406
dc.relation.ispartofIJID Regions
dc.relation.ispartofseriesIJID Regions
dc.relation.journalIJID Regions
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S2772707624000778?pes=vor&utm_source=scopus&getft_integrator=scopus
dc.rightsTRUE
dc.subjectBangladesh
dc.subjectDengue
dc.subjectFatalities
dc.subjectHealthcare infrastructure
dc.subjectOutbreak
dc.subjectUrbanization
dc.subject.lcshDengue--Bangladesh.
dc.subject.lcshPublic health-Bangladesh.
dc.titleUnderstanding the unprecedented 2023 dengue outbreak in Bangladesh: a data-driven analysis
dc.typeArticle
oaire.citation.volume12
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.identifier.orcid0009-0001-1049-4169
person.identifier.orcid0009-0006-1894-3148
person.identifier.scopus-author-id59252424100
person.identifier.scopus-author-id59252424200

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
1000073212.jpg
Size:
17.02 KB
Format:
Joint Photographic Experts Group/JPEG File Interchange Format (JFIF)

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: