Multisectoral approach in zoonotic disease surveillance|人畜共患病数据集|多部门协作数据集

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. 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 quantitative data from 5 key informants. To test for significant differences, Chi-square and indepen..., Type and Period of Study
Analytical cross-sectional study design was used and the study covered the period between August 20, 2023 and October 15, 2023.
Setting of the Study
The study was conducted in Nakuru County, a third most popular county and located in Rift valley region of Kenya. It is bordered by; Baringo, Laikipia, Nyandarua, Kajiado, Narok, Bomet and Kericho counties. Has an area of 7,496.5km² and a population of 1,603,325. It has physical features like; L. Naivasha a home of millions of flamingos, sanctuary to protect Rothschild giraffe and black rhinos, and Nakuru national park. The site is a hotspot for Anthrax, Brucellosis and Rabies and this formed the basis for purposive selection of the study area.
Inclusion Criteria: Human and Animal Healthcare workers who consented.
Exclusion Criteria: Healthcare workers that were not on duty over the period of the study.
Sampling: A census was conducted.
Data Collection and Tools
A semi-structured pretested interviewer-administered q..., , # Data from: Multisectoral approach in zoonotic disease surveillance

[https://doi.org/10.5061/dryad.g1jwstqzm](https://doi.org/10.5061/dryad.g1jwstqzm)

## Description of the data and file structure

The data herein attached has 3 files. Two excel files (MZDZ2 which contains the raw general data and MZDSCodes file which contain the coding values) and an R file which contains the codes used to produce the results. The excel files is structured in a way that it captures the demographic characteristics of the participants who were involved in disease surveillance, then awareness, attitudes, practices and institutional factors that were associated with multisectoral collaboration. The R file follows the excel file sequence and ends with Chi-square and t-tests were used to assess significant differences.

Describe relationships between data files, missing data codes, other abbreviations used. Be as descriptive as possible.

The Excell files were uploaded and named as MZD AND MZDS1 on to the...