Evidence map›Paper›PMID 37452274›Full record

ArticleBMC public health2023

Relationship between animal health and livestock farmers' wellbeing in Ghana: beyond zoonoses.

Francis Sena Nuvey, Daniel T Haydon, Jan Hattendorf, Kennedy Kwasi Addo, Gloria Ivy Mensah, Günther Fink, Jakob Zinsstag, Bassirou Bonfoh

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
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

8 authors at 6 institutions in 4 countries.

Francis Sena NuveySwiss Tropical and Public Health Institute, Kreuzstrasse 2, Allschwil, 4123, Switzerland. francis.nuvey@swisstph.ch.
Daniel T HaydonSchool of Biodiversity, One Health and Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, G12 8QQ, Scotland.
Jan HattendorfSwiss Tropical and Public Health Institute, Kreuzstrasse 2, Allschwil, 4123, Switzerland.
Kennedy Kwasi AddoDepartment of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, P.O. Box LG 581, Accra, Ghana.
Gloria Ivy MensahDepartment of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, P.O. Box LG 581, Accra, Ghana.
Günther FinkSwiss Tropical and Public Health Institute, Kreuzstrasse 2, Allschwil, 4123, Switzerland.
Jakob ZinsstagSwiss Tropical and Public Health Institute, Kreuzstrasse 2, Allschwil, 4123, Switzerland.
Bassirou BonfohCentre Suisse de Recherches Scientifiques en Côte d'Ivoire, Abidjan, BP, 1303, Côte d'Ivoire.
Swiss Tropical and Public Health Institute · CHNoguchi Memorial Institute for Medical Research · GHSwiss Centre for Scientific Research · CIUniversity of Basel · CHUniversity of Ghana · GHUniversity of Glasgow · GB

Funding

Wellcome Trust 107753/A/15/Z
6 · The paper itself

Abstract

introductionLivestock production is a key livelihood source for many people in developing countries. Poor control of livestock diseases hamper livestock productivity, threatening farmers' wellbeing and food security. This study estimates the effect of livestock mortalities attributable to disease on the wellbeing of livestock farmers.

methodsOverall, 350 ruminant livestock farmers were randomly selected from three districts located in the north, middle and southern belts of Ghana. Mixed-effect linear regression models were used to estimate the relationship between animal health and farmer wellbeing. Farmer wellbeing was assessed using the WHOQOL-BREF tool, as the mean quality-of-life in four domains (physical, psychological, social, and environmental). Animal health was assessed as annual livestock mortalities to diseases adjusted for herd size, and standardized in tropical livestock units to account for different ruminant livestock species. We adjusted for the potential confounding effect of farmers' age, sex, educational attainment, farmland size, socio-economic status, perception of disease risk to herd, satisfaction with health, previous experience of disease outbreaks in herds, and social support availability by including these as fixed effects, and community as random effects, in a pre-specified model.

resultsOur results showed that farmers had a median score of 65.5 out of 100 (IQR: 56.6 to 73.2) on the wellbeing scale. The farmers' reported on average (median) 10% (IQR: 0 to 23) annual herd mortalities to diseases. There was a significantly negative relationship between increasing level of animal disease-induced mortality in herds and farmers' wellbeing. Specifically, our model predicted an expected difference in farmers' wellbeing score of 7.9 (95%CI 1.50 to 14.39) between a farmer without any herd mortalities to diseases compared to a (hypothetical) farmer with 100% of herd mortalities caused by diseases in a farming year. Thus, there is a reduction of approximately 0.8 wellbeing points of farmers, for the average of 10% disease-induced herd mortalities experienced.

conclusionsDisease-induced livestock mortalities have a significant negative effect on farmers' wellbeing, particularly in the physical and psychological domains. This suggests that veterinary service policies addressing disease risks in livestock, could contribute to improving the wellbeing of livestock dependent populations, and public food security.

Indexed as

FarmersLivestockAnimalsGhanaHumansSurveys and QuestionnairesZoonosesLivestock diseases One healthLivestock farmersQuality of lifeWellbeing

Identifiers

PMID37452274
PMCPMC10347735
OpenAlexW4384298568

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.