Abstract
This study tries to research the use of machine learning in the prediction of outbreaks of zoonotic diseases. There has been a significant rise in the amount of diseases emerging from animals and spreading globally amongst human populations. With humans exposed to new, unexpected zoonotic diseases or re-emerging previous diseases, there is a need for effectively predicting the next potential epidemic. Epidemic modelling, diagnostics, communication, and informatics advances have enabled targeted global surveillance of emerging and previously unknown infections in humans and other organisms. This study also aims to increase the awareness about zoonotic diseases in the society and build a platform for open discussion to help people be better informed about these diseases.
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