Evidence map›Paper›PMID 42536304›Full record

ArticleEcoHealth2026

One Health Approach to Zoonotic Risks and Healthcare Barriers in Transhumant Pastoralists.

Moomin John, Sabreenah Parveen, Hidayatullah Tak, Peer Jeelani, M Imran Ganaie

Abstract read
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In one paragraph

Article in EcoHealth, 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

5 authors.

Moomin JohnDepartment of Zoology, University of Kashmir, Srinagar, 190006, India.
Sabreenah ParveenDepartment of Zoology, University of Kashmir, Srinagar, 190006, India.
Hidayatullah TakDepartment of Zoology, University of Kashmir, Srinagar, 190006, India.
Peer JeelaniDepartment of Geography and Disaster Management, University of Kashmir, Srinagar, 190006, India. jalanipeer@gmail.com.
M Imran GanaieDepartment of Geography and Disaster Management, University of Kashmir, Srinagar, 190006, India. emraanmohamad@gmail.com.

Funding

Indian Council of Medical Research No.Fellowship/104/2022-ECD-II
6 · The paper itself

Abstract

Transhumant pastoralist communities in the Kashmir Himalayas represent a marginalized and understudied population, particularly vulnerable to health risks due to their mobility and isolation. This study examines their healthcare practices, knowledge, and attitudes (KAP), with a focus on zoonotic disease exposure. Data from 384 respondents revealed that only 15% were aware of zoonotic diseases, despite 80% reporting frequent disease outbreaks. Access to health care was limited for 71% of participants, hindered by geographic isolation, poor transportation, and financial constraints. A significant positive correlation (r = 0.641, p < 0.05) was found between knowledge, attitudes, and practices, suggesting that greater awareness can lead to improved health behaviors. Traditional healing systems, including herbal and spiritual remedies, were used by 75% of respondents. However, poor hygiene and livestock care practices, such as infrequent handwashing (60%) and low vaccination rates (90%), further increased health vulnerabilities. The findings urge the adoption of integrated, culturally responsive healthcare methods based on the One Health concept. Mobile health and veterinary units, community-driven health education, and participatory disease surveillance should all be implemented to successfully minimize zoonotic hazards and enhance the overall well-being of transhumant communities.

Indexed as

Healthcare practicesKAPOne healthTranshumant pastoralistsZoonotic diseases

Identifiers

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.