Evidence map›Paper›PMID 39981071›Full record

ArticleOpen forum infectious diseases2025

Clinical Epidemiology of Dengue and COVID-19 Co-infection Among the Residents in Dhaka, Bangladesh, 2021-2023: A Cross-sectional Study.

Nadim Sharif, Rubayet Rayhan Opu, Afsana Khan, Tama Saha, Abdullah Ibna Masud, Jannatin Naim, Zaily Leticia Velázquez Martinez, Carlos Osorio García, Meshari A Alsuwat, Fuad M Alzahrani and 3 more

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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

13 authors.

Nadim SharifDepartment of Microbiology, Jahangirnagar University, Savar, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0003-2377-9726
Rubayet Rayhan OpuDepartment of Microbiology, Jahangirnagar University, Savar, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0002-0373-1509
Afsana KhanDepartment of Statistics and Data Science, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Tama SahaDepartment of Microbiology, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Abdullah Ibna MasudDepartment of Microbiology, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Jannatin NaimDepartment of Microbiology, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Zaily Leticia Velázquez MartinezUniversidad Europea del Atlántico, Isabel Torres 21 Santander, Spain.ORCID https://orcid.org/0000-0002-7378-3128
Carlos Osorio GarcíaUniversidad Internacional Iberoamericana, Campeche, México.
Meshari A AlsuwatDepartment of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, Taif 21944, Saudi Arabia.
Fuad M AlzahraniDepartment of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, Taif 21944, Saudi Arabia.
Khalid J AlzahraniDepartment of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, Taif 21944, Saudi Arabia.
Isabel De la Torre DíezUniversity of Valladolid, Valladolid, Spain.
Shuvra Kanti DeyDepartment of Microbiology, Jahangirnagar University, Savar, Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Co-infection of dengue and COVID-19 has increased the health burden worldwide. We found a significant knowledge gap in epidemiology and risk factors of co-infection in Bangladesh. Methods: This study included 2458 participants from Dhaka city from 1 December 2021 to November 30 2023. We performed the Kruskal-Wallis test and χ Results: Co-infection of dengue and COVID-19 was found among 31% of the participants. Coprevalence of dengue and COVID-19 was found in higher frequency in Jatrabari (14%) and Motijhil (11%). Severe (65%, Conclusions: This is one of the early epidemiologic studies of co-infection of dengue and COVID-19 in Bangladesh.

Indexed as

Bangladeshco-infectionCOVID-19dengueepidemiology

Identifiers

PMID39981071
PMCPMC11839405

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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.