Evidence map›Paper›PMID 42861380›Full record

ReviewThe Lancet regional health. Southeast Asia2026

Kyasanur Forest Disease: feasible strategies for vaccine development and evaluation.

Manoj V Murhekar, Jeromie Wesley Vivian Thangaraj, Deepak Y Patil, Gudadappa S Kasabi, Nivedita Gupta, Pragya Yadav

Abstract readReview
In one paragraph

Review in The Lancet regional health. Southeast Asia, 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

6 authors.

Manoj V MurhekarICMR National Institute of Epidemiology, Chennai, India.
Jeromie Wesley Vivian ThangarajICMR National Institute of Epidemiology, Chennai, India.
Deepak Y PatilNational Institute of One Health, Nagpur, India.
Gudadappa S KasabiCommissionerate of Health and Family Welfare, Govt of Karnataka, India.
Nivedita GuptaIndian Council of Medical Research, New Delhi, India.
Pragya YadavNational Institute of One Health, Nagpur, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kyasanur Forest Disease (KFD) is a tick-borne zoonotic infection endemic to certain parts of India, with expanding geographic distribution and recurrent focal outbreaks among forest-dependent populations in Western Ghats. The discontinuation of the formalin-inactivated KFD vaccine in 2022 has created a critical gap in prevention. New vaccine candidates are under development, but conventional Phase 3 efficacy trials are difficult to implement because of low incidence of disease, and clustered and unpredictable nature of outbreaks. KFD vaccine evaluation may require alternate regulatory approaches. An initial step would involve studies to identify candidate correlates of protection in laboratory confirmed KFD patients. These immune markers could then be evaluated in bonnet macaques challenge models to assess their association with protection against infection and clinical disease and define protective immune thresholds or composite immunological endpoints. A phase 3 immunobridging study could subsequently assess seroresponse rates against predefined immune thresholds and provide supportive evidence for vaccine efficacy and regulatory decision-making. Post-licensure studies can assess real world vaccine effectiveness and help refine vaccination strategies. Vaccine deployment should prioritise high-risk populations and align with seasonal transmission patterns of KFD. This framework may provide a feasible pathway for KFD vaccine deployment in endemic regions.

Indexed as

IndiaKyasanur Forest DiseaseRegulatory pathwayVaccine developmentVaccine effectiveness

Identifiers

PMID42861380
PMCPMC13654565

What OpenQuestion holds

Textmetadata
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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.