Evidence map›Paper›PMID 39290507›Full record

ArticleFrontiers in veterinary science2024

Explanatory models and animal health-seeking behavior for East Coast fever in rural Kenya: an ethnographic study.

Ann W Muthiru, Josphat Muema, Nyamai Mutono, S M Thumbi, Salome A Bukachi

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Article in Frontiers in veterinary science, 2024. 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

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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

5 authors.

Ann W MuthiruDepartment of Anthropology, Gender and African Studies, University of Nairobi, Nairobi, Kenya.
Josphat MuemaFeed the Future Innovation Lab for Animal Health, Washington State University, Pullman, WA, United States.
Nyamai MutonoCentre for Epidemiological Modelling and Analysis, University of Nairobi, Nairobi, Kenya.
S M ThumbiCentre for Epidemiological Modelling and Analysis, University of Nairobi, Nairobi, Kenya.
Salome A BukachiDepartment of Anthropology, Gender and African Studies, University of Nairobi, Nairobi, Kenya.

Funding

Zoonotic and Emerging Infectious Diseases Training ProgramD43TW011519 · FIC · WASHINGTON STATE UNIVERSITY · PI Walter Godfrey Jaoko, Thumbi Mwangi · 2020 to 2026
$1.2M
FIC NIH HHS D43 TW011519
6 · The paper itself

Abstract

Introduction: Explanatory models of disease focus on individuals' and groups' understandings of diseases, revealing a disconnect between livestock keepers and animal health providers. Animal health providers rely on models grounded in their veterinary training and experience. At the same time, livestock keepers may construct models based on traditional knowledge and their lived experience with East Coast fever in their cattle herds. To better understand East Coast fever and develop more efficient management strategies, this ethnographic study used the explanatory models' framework to provide a structured way for comprehending and contrasting different beliefs and understandings of East Coast fever as perceived by the livestock keepers across the different livestock production systems. Method: Multiple data collection methods were employed, including unstructured observations, 30 in-depth interviews (IDIs), 18 focus group discussions (FGDs), and 25 key informant interviews (KIIs). Results: Adult cattle, calves and sheep were perceived as susceptible to East Coast fever. However, there were varying perceptions of livestock susceptible to East Coast fever in the different livestock production systems. East Coast fever was attributed to multiple factors, including ticks, tsetse flies, mosquitos, birds, stagnant, dirty, or contaminated water, and livestock-wildlife interactions. However, some aspects were specific to the production system. Livestock keepers classified diseases based on observable signs, grouping diseases with similar signs under the same classification. Moreover, livestock keepers described different forms of East Coast fever ranging from treatable to fatal, which could be distinguished by the signs they presented. Self-treatment with drugs from the local agro-vet shops was the initial course of action during suspected cases of East Coast fever. Animal health practitioners were the last resort if self-treatment did not produce the desired outcome. Livestock keepers perceived avoidance of stagnant or contaminated water, tick control, and fencing as effective control measures for East Coast fever in their livestock herd. Very few livestock keepers were aware of an East Coast fever vaccine. Discussion: Mechanistic explanations hold little significance in controlling East Coast fever. Instead, understanding and addressing livestock keepers' beliefs regarding ECF is crucial for promoting behaviors that support interventions across different livestock production systems.

Indexed as

east coast feverexplanatory modelshealth-seeking behaviorethnographyinfection treatment methodrural Kenya

Identifiers

PMID39290507
PMCPMC11406331

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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.