Evidence map›Paper›PMID 39539699›Full record

SynthesisFrontiers in microbiology2024

Evolving epidemiology, clinical features, and genotyping of dengue outbreaks in Bangladesh, 2000-2024: a systematic review.

Nadim Sharif, Rubayet Rayhan Opu, Tama Saha, Abdullah Ibna Masud, Jannatin Naim, Khalaf F Alsharif, Khalid J Alzahrani, Eduardo Silva Alvarado, Irene Delgado Noya, Isabel De la Torre Díez and 1 more

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Zika Virus Outbreak - Bangladesh, September-December 2024.MMWR. Morbidity and mortality weekly report · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

11 authors.

Nadim SharifDepartment of Microbiology, Jahangirnagar University, Dhaka, Bangladesh.
Rubayet Rayhan OpuDepartment of Microbiology, Jahangirnagar University, Dhaka, Bangladesh.
Tama SahaDepartment of Microbiology, Jahangirnagar University, Dhaka, Bangladesh.
Abdullah Ibna MasudDepartment of Microbiology, Jahangirnagar University, Dhaka, Bangladesh.
Jannatin NaimDepartment of Microbiology, Jahangirnagar University, Dhaka, Bangladesh.
Khalaf F AlsharifDepartment of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, Taif, Saudi Arabia.
Khalid J AlzahraniDepartment of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, Taif, Saudi Arabia.
Eduardo Silva AlvaradoUniversidad Europea del Atlántico, Santander, Spain.
Irene Delgado NoyaUniversidad Europea del Atlántico, Santander, Spain.
Isabel De la Torre DíezUniversity of Valladolid, Valladolid, Spain.
Shuvra Kanti DeyDepartment of Microbiology, Jahangirnagar University, Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The 2023 dengue outbreak has proven that dengue is not only an endemic disease but also an emerging health threat in Bangladesh. Integrated studies on the epidemiology, clinical characteristics, seasonality, and genotype of dengue are limited. This study was conducted to determine recent trends in the molecular epidemiology, clinical features, and seasonality of dengue outbreaks. Methods: We analyzed data from 41 original studies, extracting epidemiological information from all 41 articles, clinical symptoms from 30 articles, and genotypic diversity from 11 articles. The study adhered to the standards of the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) Statement and Cochrane Collaboration guidelines. Results: A total of 565,438 dengue cases and 2,587 fatalities were documented from January 2000 to March 2024. Notably, 60% of cases during the 2019 and 2023 outbreaks were reported in regions previously considered non-endemic. Fatalities were more frequent among women (70%). The majority of the studies (95-100%) used the NS1Ag test, followed by IgG or IgM and RT-PCR tests. New hotspots of dengue transmission were identified in the southern (Khulna, 10.8% and Barishal, 11.8%) and southeastern (Chattogram, 13.8%) regions of Bangladesh. Serotyping was conducted on 92.4% (1,456 of 1,575) of isolates between 2012 and 2023. Of the four serotypes, DENV3 was the most prevalent (57%), followed by DENV2 (30%), DENV1 (11%), and DENV4 (<1%). Genotype DENV3-I (43 of 59 isolates) was the most prevalent, followed by DENV3-II (8 of 59). The highest frequency of dengue cases was observed in August (26.3%), followed by September (22.5%), October (20.2%), and November (13.08%). Fever (90.51, 95% CI 85-100%) was the most prevalent symptom, followed by headache (57.98, 95% CI 12-100%), vomiting (51.16, 95% CI 23-91%), abdominal pain (34.12, 95% CI 12-85%), and myalgia (25.53, 95% CI 13-85%), respectively. Conclusion: This study provides integrated insights into the molecular epidemiology, clinical features, seasonality, and transmission of dengue in Bangladesh and highlights research gaps for future studies.

Indexed as

Bangladeshdengueepidemiologyoutbreakseasonality

Identifiers

PMID39539699
PMCPMC11557403

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.