Evidence map›Paper›PMID 40684150›Full record

ArticleBMC infectious diseases2025

COVID-19 infection and its association with severe malaria & dengue: an epidemiological study from Southern India.

Sara J Ommen, Prasanna Mithra, Rekha T, Nithin Kumar, Ramesh Holla, Naveen Kulal, Mithun Rao, Bhaskaran Unnikrishnan

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Sara J OmmenDepartment of Community Medicine, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India.
Prasanna MithraDepartment of Community Medicine, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India. prasanna.mithra@manipal.edu.
Rekha TDepartment of Community Medicine, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India.
Nithin KumarDepartment of Community Medicine, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India.
Ramesh HollaDepartment of Community Medicine, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India.
Naveen KulalDistrict Vector Borne Disease Control Programme Office, Dakshina Kannada, Mangalore, Karnataka, India.
Mithun RaoDepartment of Community Medicine, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India.
Bhaskaran UnnikrishnanDepartment of Community Medicine, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPost-Coronavirus Disease-19 (COVID-19) sequelae involve complex biological processes that can alter the progression and clinical outcome of other infectious diseases. However, there is no documented information on the influence of COVID-19 on the development of severe malaria and dengue. Hence, this study was conducted to determine the association between malaria & dengue and previous COVID-19 infection among the adult population of Mangalore Taluk and to describe the socio-demographic and clinical correlates of malaria & dengue.

methodsThis case-control study was conducted among 293 participants who were positive for either malaria or dengue from November 2022 to August 2024. Data were collected using a proforma which contained sections on demographic details, clinical profile and comorbidities, history of COVID-19 infection and COVID-19 vaccination status. The participants were categorised into having severe disease and mild to moderate disease based on operational definitions. The data were analysed using the Statistical Package for Social Sciences (SPSS) version 29. Chi-square test was done, and a p-value less than 0.05 was considered statistically significant. Binary Logistic Regression analyses were used and odds ratios were estimated.

resultsA total of 293 participants were included in the study with a mean age of 36.7 (SD:14.8) years. Among them, 23.9% (n = 70) had malaria and 76.1% (n = 223) had dengue. Out of those who had malaria, 30% (n = 21) developed severe illness, whereas among those who had dengue 35.8% (n = 80) developed severe dengue. Overall, 58.4% (n = 171) were in the age group of > 30 years. In total, 98.1% (n = 52) of the participants with dengue fever with a history of COVID-19 infection developed severe dengue, (aOR:55.93 (95% CI:7.17-435.92) p < 0.001) compared to those without. Similarly, 85.7% (n = 12) of the participants with a history of COVID-19 infection developed severe malaria (aOR: 263.7 (95% CI: 34.9-1987.4) p < 0.001) compared to those and these differences were found to be statistically significant. In addition, those participants belonging to lower socio-economic classes had higher chances of developing severe dengue than those belonging to the upper socio-economic class (p < 0.001*).

conclusionThose with a prior history of COVID-19 infection had higher chances of developing severe malaria and dengue than those without a history of COVID-19 infection.

Indexed as

COVID-19DengueMalariaAdultCase-Control StudiesFemaleHumansIndiaMaleMiddle AgedSARS-CoV-2Severity of Illness IndexYoung AdultCOVID-19COVID-19 vaccineSevere dengueSevere malaria

Identifiers

PMID40684150
PMCPMC12275358

What Socratic 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 Socratic graph.