Evidence map›Paper›PMID 36701376›Full record

ArticlePLoS neglected tropical diseases2023

Assessment of community perceptions and risk to common zoonotic diseases among communities living at the human-livestock-wildlife interface in Nakuru West, Kenya: A participatory epidemiology approach.

Maurice Omondi Owiny, Ben Kipchumba Ngare, Bernard Chege Mugo, Jacob Rotich, Arithi Mutembei, Khadijah Chepkorir, Rinah Sitawa, Mark Obonyo, Joshua Orungo Onono

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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

9 authors at 5 institutions in 1 country.

Maurice Omondi OwinyKenya Field Epidemiology and Laboratory Training Program, Ministry of Health, Nairobi, Kenya.ORCID 0000-0002-3047-5723
Ben Kipchumba NgareKenya Field Epidemiology and Laboratory Training Program, Ministry of Health, Nairobi, Kenya.
Bernard Chege MugoKenya Field Epidemiology and Laboratory Training Program, Ministry of Health, Nairobi, Kenya.
Jacob RotichDepartment of Health, County Government of Nakuru, Nakuru, Kenya.
Arithi MutembeiDepartment of Agriculture, Wajir County Government, Wajir, Kenya.
Khadijah ChepkorirRegional Veterinary Laboratory, Uasin Gishu County, Eldoret, Kenya.
Rinah SitawaMinistry of Agriculture, Livestock and Fisheries, Nairobi, Kenya.
Mark ObonyoMinistry of Agriculture, Livestock and Fisheries, Nairobi, Kenya.
Joshua Orungo OnonoDepartment of Public Health, Pharmacology and Toxicology, University of Nairobi, Nairobi, Kenya.
Ministry of Health · KEMinistry of Agriculture Livestock and Fisheries · KENakuru County Council · KEUniversity of Nairobi · KEWajir County Government · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundZoonoses account for most of the emerging and re-emerging infections in Kenya and in other low to medium-income countries across the world. The human-livestock-wildlife interface provides a nexus where transmission and spread of these zoonotic diseases could occur among communities farming in these areas. We sought to identify perceptions of the community living near the Lake Nakuru National Park in Kenya.

methodsWe used participatory epidemiology techniques (PE) involving Focus Group Discussion (FGD) among community members and Key Informant Interviews (KII) with the health, veterinary, and administration officers in July 2020. We used listing, pairwise matching, and proportional piling techniques during the FGDs in the randomly selected villages in the study area from a list of villages provided by the area government officers. Kruskal-Wallis test was used to compare the median scores between the zoonotic diseases, source of information, and response to disease occurrence. Medians with a z-score greater than 1.96 at 95% Confidence Level were considered to be significant. Content analysis was used to rank qualitative variables.

resultsWe conducted seven FGDs and four KIIs. A total of 89 participants took part in the FGDs with their ages ranging from 26 to 85 years. Common zoonotic diseases identified by participants included anthrax, rabies, and brucellosis. Anthrax was considered to have the greatest impact by the participants (median = 4, z>1.96), while 4/7 (57%) of the FGDs identified consumption of uninspected meat as a way that people can get infected with zoonotic diseases. Community Health Volunteers (Median = 28, z = 2.13) and the government veterinary officer (median = 7, z = 1.8) were the preferred sources of information during disease outbreaks.

conclusionThe participants knew the zoonotic diseases common in the area and how the diseases can be acquired. We recommend increased involvement of the community in epidemio-surveillance of zoonotic diseases at the human-wildlife-livestock interface.

Indexed as

Animals, WildAnthraxAdultAgedAged, 80 and overAnimalsHumansKenyaLivestockMiddle AgedZoonoses

Identifiers

PMID36701376
PMCPMC9904458
OpenAlexW4318167091

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.