Evidence map›Paper›PMID 42602938›Full record

ArticleBMJ public health2026

Zoonotic disease risk perceptions and practices related to livestock production and consumption: a qualitative study among animal rearers and veterinary care providers in Northeast India.

Melari Shisha Nongrum, Carmenia Khongwir, Arockiasamy Arun Prince Milton, Samir Das, Rajiv Sarkar, Mark L Wilson, Sandra Albert

Abstract read
In one paragraph

Article in BMJ public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Melari Shisha NongrumIndian Institute of Public Health Shillong, Meghalaya, India.ORCID https://orcid.org/0000-0002-1231-407X
Carmenia KhongwirIndian Institute of Public Health Shillong, Meghalaya, India.ORCID https://orcid.org/0009-0007-4383-7213
Arockiasamy Arun Prince MiltonICAR RC-NEH, Umiam, Meghalaya, India.ORCID https://orcid.org/0000-0002-0436-6582
Samir DasICAR RC-NEH, Umiam, Meghalaya, India.ORCID https://orcid.org/0000-0002-6613-7347
Rajiv SarkarIndian Institute of Public Health Shillong, Meghalaya, India.ORCID https://orcid.org/0000-0003-0616-3129
Mark L WilsonUniversity of Michigan, School of Public Health, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0003-2968-5181
Sandra AlbertIndian Institute of Public Health Shillong, Meghalaya, India.ORCID https://orcid.org/0000-0003-0355-9283

Funding

Wellcome Trust
6 · The paper itself

Abstract

Introduction: Zoonotic diseases (ZDs) pose significant global health risks, affecting both public health and the livelihoods of indigenous communities. The Northeast Region of India, with its rich biodiversity, remoteness and porous international borders, is a hotspot for ZDs. Despite extensive human-animal interactions, where risks are likely elevated, there is little literature on zoonoses. This study documented practices related to livestock slaughtering as well as local knowledge and perceptions of zoonoses among livestock rearers and veterinary care providers from such settings. Methods: We conducted a qualitative study involving 46 participants (livestock rearers, traditional animal healers and veterinary professionals) in Ri Bhoi, East Khasi Hills and Eastern West Khasi Hills districts of Meghalaya state. Livestock rearers with >10 years of experience and veterinary doctors were purposively sampled while traditional healers were identified through snow-ball sampling. Results: The concept of 'zoonoses' was unfamiliar to livestock rearers and traditional healers. Once the idea of zoonotic transmission was introduced, participants acknowledged its possibility and identified mainly meat consumption as a potential route of transmission. Livestock rearers largely practised 'backyard slaughtering'. They expressed concerns about the lack of preslaughter health checks for livestock, consumption of sick or dead animals and inadequate hygiene in animal sheds as possible risk factors. Livestock rearers and traditional healers possessed local knowledge of common animal diseases and believed that transmission of animal diseases occurs through imported livestock, insect vectors and pig feed. A local practice of relevance was the use of rinse water from meats in households as pig feed. Conclusion: This study identified awareness and practice gaps regarding ZD risks, underscoring the need for multiprong public health interventions in rural communities. A One Health communication strategy integrating community education, frontline worker training and cross sector collaboration would strengthen disease prevention and enhance early response.

Indexed as

Food SafetyPublic HealthQualitative ResearchZoonoses

Identifiers

PMID42602938
PMCPMC13475563

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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.