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3 results for “Zoonotic disease surveillance”
Data from: Multisectoral approach in zoonotic disease surveillance
<p>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.</p>
Data from: Multisectoral approach in zoonotic disease surveillance
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Literature search on worldwide surveillance systems targeting transboundary zoonotic and emerging diseases
<p>Surveillance systems for zoonotic and transboundary emerging pathogens that are structured following the holistic principles of joint work efforts from the human health, animal health and environmental health sectors are reviewed to provide a summary of one-health based surveillance systems existing worldwide. A systematic search of available literature was undertaken across various biomedical and scientific literature databases (from 2000 to 2022) and were selected using inclusion/exclusion criteria to filter references presenting systematic surveillance systems applicable to transmissible, transboundary, and zoonotic diseases operating under the One Health approach. A standardized data model and vocabulary were used to extract and classify key information to characterize target surveillance systems. 996 studies were obtained after research (589 after duplicates’ elimination) for inclusion in this review and information was extracted using a data model, which were reduced to 79 items once inclusion and exclusion criteria were applied. From these articles, 80 additional items were found within references.</p>
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