Evidence map›Paper›PMID 39618810›Full record

ArticleOpen research Europe2024

Utilization and associated determinants of multi-sectoral approach in zoonotic disease surveillance among animal and human healthcare workers in Nakuru County, Kenya.

Levi Cheptoyek, Gideon Kikuvi, John Gachohi

Abstract read
In one paragraph

Article in Open research Europe, 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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0citing papers in PubMed
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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

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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

3 authors.

Levi CheptoyekP.O. Box 62000-00200, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.
Gideon KikuviP.O. Box 62000-00200, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.
John GachohiP.O. Box 62000-00200, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.

Funding

European & Developing Countries Clinical Trials Partnership (EDCTP) CSA2020E-3129
6 · The paper itself

Abstract

Background: Zoonoses are naturally transmissible between humans and animals. Globally, they account for more than 60% of human infections, 75% of emerging infections, 2.7 million human deaths, and 10% of the total DALYs lost yearly in Africa. In the last three decades, Kenya has had sporadic outbreaks of zoonoses. To increase the speed of reporting and efficiencies in detection and control, a multi-sectoral collaboration in zoonotic disease surveillance (MZDS) between human and animal health workers is essential. In an effort, Zoonotic disease unit (ZDU) in Kenya has been established at national and county levels. Methods: A cross sectional study was carried out to determine the level of utilization of multisectoral collaboration and its associated determinants in zoonotic disease surveillance among animal and human healthcare workers in Nakuru County. Quantitative data was gathered from 102 participants and qualitative data from 5 key informants. To test for significant differences, Chi-square and independent t-test were used. Results: MZDS utilization level was 16% and the factors associated with MZDS utilization include; knowing what MZDS entails, education level, sector affiliation, trainings, supportive infrastructure, budget allocation and data storage. Lack of financing and poor coordination are hindrances to MZDS. Conclusion: There is need to finance MZDS activities, strengthen coordination mechanisms, carry out more sensitization and trainings among animal and human healthcare workers.

Indexed as

Multisectoral collaboration in zoonotic disease surveillance

Identifiers

PMID39618810
PMCPMC11607475

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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.