Evidence map›Paper›PMID 39228628›Full record

ArticleJournal of family medicine and primary care2024

Serotype-specific clinical features and spatial distribution of dengue in northern Kerala, India.

Raman Swathy Vaman, Mathew J Valamparampil, Aswathi Kodenchery Somasundaran, Anjali Jayasree Balakrishnan, Prajit Janardhanan, Arya Rahul, Rajendra Pilankatta, Thekkumkara Surendran Anish

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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.

Raman Swathy VamanAssistant Director, Department of Health Services, Kerala, India.
Mathew J ValamparampilSree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India.
Aswathi Kodenchery SomasundaranDepartment of Biochemistry and Molecular Biology, School of Biological Sciences, Central University of Kerala, Periye, Kasaragod, Kerala, India.
Anjali Jayasree BalakrishnanDepartment of Biochemistry and Molecular Biology, School of Biological Sciences, Central University of Kerala, Periye, Kasaragod, Kerala, India.
Prajit JanardhananDepartment of Biochemistry and Molecular Biology, School of Biological Sciences, Central University of Kerala, Periye, Kasaragod, Kerala, India.
Arya RahulICMR Vector Control Research Centre, Department of Health Research, Ministry of Health and Family Welfare, Government of India, Puducherry, India.
Rajendra PilankattaDepartment of Biochemistry and Molecular Biology, School of Biological Sciences, Central University of Kerala, Periye, Kasaragod, Kerala, India.
Thekkumkara Surendran AnishDepartment of Community Medicine, Government Medical College, Manjeri, Malappuram, Kerala, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Collection and compilation of spatial, meteorological, entomological, and virological data are critical in mitigating climate-sensitive emerging infections like dengue. This study was a holistic attempt to understand the dengue situation in the Kasaragod district of Kerala, India. Methods: This cross-sectional study was conducted in 13 health institutions from June to July 2021. Adult patients presenting with fever and testing positive for NS1 ELISA were subjected to Dengue RT-PCR and serotyping. The spatial and clinical features of the RT-PCR-positive patients, the district's meteorological data, and the vector indices were studied. Results: The pre-epidemic months were marked by intermittent rainfall, peak ambient temperature and high larval indices. Among the 136 dengue RT-PCR patients studied, 41.2% had DENV2 followed by DENV1 (22.8%), DENV3 (5.9%) and DENV4 (4.4%); with 25% mixed infections. DENV1 showed a higher risk of gastrointestinal manifestations (80.6%, p=0.019) and musculoskeletal symptoms (77.4%, p=0.026) compared with other serotypes. Conclusions: In the context of dengue hyperendemicity, the possibility of an emerging serotype's dominance coupled with the mixing up of strains should warn the health system regarding future outbreaks. Furthermore, the study emphasizes the importance of monitoring larval indices and the window of opportunity to intervene between environmental predictors and dengue outbreaks.

Indexed as

DengueepidemiologyGISIndiapublic health

Identifiers

PMID39228628
PMCPMC11368279

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LicenceCC BY-NC-SA
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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.