DOI: 10.5061/dryad.g1jwstqzm
title: Data from: Multisectoral approach in zoonotic disease surveillance

description: 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
 independent t-test were used. MZDS utilization level was 16% and the
 factors associated with higher utilization include; knowing what MZDS
 entails, education level, sector affiliation, trainings, supportive
 infrastructure and data storage. Lack of financing and poor coordination
 are hindrances to MZDS. In conclusion, there is need to finance MZDS
 activities, strengthen coordination mechanisms, carry out more
 sensitization and trainings among animal and human healthcare.
description: <strong>Type and Period of Study</strong>
 Analytical cross-sectional study design was used and the study
 covered the period between August 20, 2023 and October 15, 2023.
 <strong>Setting of the Study</strong>
 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. <strong>Inclusion Criteria:</strong><strong> </strong>Human and Animal<strong> </strong>Healthcare workers who consented. <strong>Exclusion Criteria:</strong><strong> </strong>Healthcare workers that were not on duty over the period of the study. <strong>Sampling:</strong><strong> </strong>A census was conducted. <strong>Data Collection and Tools</strong> A semi-structured pretested interviewer-administered questionnaire was used in face-to-face interviews to collect quantitative data from 102 participants who serve as frontline workers on zoonotic disease surveillance activities at the sub-county levels. Key informant interview guide was used to collect data on institutional factors (Funding, space, Priorities, Staffing, MZDS plans, political will) from county head of veterinary services, county head of public health, County director of medical services, Data analyst and county emergency and operations center officer. Audio tape recording was used to maintain and capture their exact words. The sessions lasted 45-60 minutes. Saturation marked the end of interview sessions. <strong>Data Processing and Analysis </strong> Quantitative data was entered to excel file, cleaned and exported to R 4.3.1 Software for descriptive and inferential statistical analysis. The descriptive statistics were presented on tables. Hearing about MZDS and the regularity of carrying out joint data collection, analysis, interpretation and sharing with other sectors formed the basis for inferential statistics. Chi-square and independent t-test were used to measure association at a p value &lt; 0.05 and 95% confidence interval. Qualitative data was analyzed manually using MS Excel spreadsheets.  <strong>Ethical Considerations</strong> Ethical approval and a research permit were attained from: the ethics review board for Jomo Kenyatta University of Agriculture and Technology (JKUAT), Ref: JKU/ISERC/023/0842, JKUAT Board of postgraduate studies, Ref: JKU/2/11/HSH315R-0088/2022, National Council for Science, Technology and Innovation, Ref: NACOSTI/P/23/25534, and Nakuru county. Informed consent was acquired from the participants. Completed questionnaires were kept under lock and key and accessed by only authorized people. Soft copies and all analyzed data were passworded.
description: # 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 R- software. Abbreviations in full MZDS --- Multisectoral approach in zoonotic disease surveillance. MA --- Joint data collection, analysis, interpretation and sharing. Structure --- Organizational structure for Multisectoral approach. Requirement --- Requirements for MZDS to be active. Important --- I feel MZDS is very important for early detection and response to zoonoses. Actor --- I am an important actor for MZDS. Store freq --- Frequency for storing MZDS data.  Budget --- Budgetary allocation for MZDS activities. Training --- Received training on MZDS. Implement, Sensitization --- Received sensitization on MZDS. Infrastructure --- Adequacy of Infrastructure for MZDS. Lab --- Laboratory infrastructure for MZDS Share --- In an event of suspected zoonotic disease outbreak, do you share information.  Never: 1 Rare: 2 Frequently: 3 Yes: 1 No: 0 Correct: 1 Incorrect: 0 ## Code/Software This is an optional, freeform section for describing any code in your submission and the software used to run it. R 4.3.1 software and excel file were used for analysis