Evidence map›Paper›PMID 41806035›Full record

SynthesisArchives of virology2026

The viral tick talks: how vectors and wildlife shape Kyasanur forest disease ecology.

Jishnu Narayanan, Pulamoola Kelu Sarath, Embalil Mathachan Aneesh

Abstract readSystematic ReviewMeta-AnalysisReview
PubMed Publisher
In one paragraph

Synthesis in Archives of virology, 2026. 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

3 authors.

Jishnu NarayananCentre for Research in Emerging Tropical Diseases (CRET-D), Department of Zoology, University of Calicut, Kerala, India.ORCID http://orcid.org/0009-0009-1980-5478
Pulamoola Kelu SarathCentre for Research in Emerging Tropical Diseases (CRET-D), Department of Zoology, University of Calicut, Kerala, India.ORCID http://orcid.org/0009-0001-0774-6177
Embalil Mathachan AneeshCentre for Research in Emerging Tropical Diseases (CRET-D), Department of Zoology, University of Calicut, Kerala, India. aneeshem@uoc.ac.in.ORCID http://orcid.org/0000-0001-8140-3888

Funding

Department of Biotechnology, Ministry of Science and Technology, India BT/PR39753/FVB/125/95/2020Department of Science and Technology, Ministry of Science and Technology, India DST/TDT/SHRI-02/2021(C)Kerala State Council for Science, Technology and Environment KSCSTE/8/2022/E&EUniversity Grants Commission 211610165143University Grants Commission 221610205801
6 · The paper itself

Abstract

Kyasanur Forest Disease (KFD) is a tick-borne zoonotic disease in India that causes fatal hemorrhagic fever in humans. Despite its complex network of hosts and vectors, the interspecific interactions shaping its disease ecology remain underexplored. We aimed to identify these interactions and pathways aiding disease spread within connected landscapes and across geographic barriers. Through a systematic review and meta-analysis, we mapped KFD locations, vectors' feeding niches, and disease hosts. We found 53 KFD associated species from Western Ghats (active disease location) and 27 potentially associated species from Andaman and Nicobar Islands (KFD seroprevalence location). Each tick's host ranges revealed unique interactions and potential transmission patterns among host animals. We challenge the current notion of KFD as an endemic primate disease, since primates are absent in the majority of the islands of Andaman and Nicobar with seroprevalence. Here, small mammals could be local hosts, while birds may act as potential dispersers across geographic barriers.

Indexed as

Animals, WildArachnid VectorsKyasanur Forest DiseaseTicksAnimalsBirdsHumansIndiaPrimatesSeroepidemiologic Studies

Identifiers

What OpenQuestion holds

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Registered trials

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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.