Disease Surveillance Information System for Livestock: a case study of Mbale District

dc.contributor.authorHonest Macho
dc.date.accessioned2024-07-22T13:23:56Z
dc.date.available2024-07-22T13:23:56Z
dc.date.issued2024-07-02
dc.description.abstractLivestock diseases pose significant threats to animal health, agricultural economies. Surveillance systems play a crucial role in monitoring, detecting, and controlling the spread of these diseases. The Livestock Disease Surveillance Information System is designed to enhance the efficiency and effectiveness of disease surveillance in large- and small-scale livestock populations. The researcher focused on how the Livestock diseases surveillance system can be integrates various data sources, including veterinary clinics, laboratories, and agricultural authorities, to provide a comprehensive view of disease dynamics. Through advanced data analytics and machine learning algorithms, Livestock Disease Surveillance Information System can identify patterns, trends, and potential outbreaks in real-time, allowing for timely interventions and control measures. These platforms facilitate information sharing, harmonize surveillance standards, and coordinate responses to Trans boundary diseases and can also impact the effectiveness of surveillance systems and the ability to respond to outbreaks quickly. Uganda, like many African countries, faces a significant burden from livestock diseases such as foot-and-mouth disease, contagious bovine pleuropneumonia, and African swine fever. These diseases impact livestock productivity and trade, affecting the livelihoods of millions of Ugandans who depend on livestock.
dc.identifier.urihttp://hdl.handle.net/20.500.11951/1355
dc.language.isoen
dc.publisherUganda Christian University
dc.titleDisease Surveillance Information System for Livestock: a case study of Mbale District
dc.typeDissertation
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