Zika virus was discovered incidentally in 1947 in a sentinel monkey placed in the Zika forest in Uganda. The first human cases were detected six years later. Since then, ZIKV has continued to expand. The Zika Virus App helps to detect Zika Outbreak Patterns using machine learning algorithms.
The Zika virus app helps people living or staying in high-risk areas for Zika transmission. The app offers them a support system for this virus, with the information they need regarding effects, symptoms, prevention measures, and resources from their local community. Health workers can also use it to upload the results to the app and then alert the infected patients. Therefore, when infected, it updates the app and sends a push notification. Using the app, NGOs, governments, and hospitals can better understand the scope of the Zika epidemic. Moreover, as soon as users enter a high-risk area, they get a push notification informing them about how to prevent infections. The app uses machine learning algorithms to understand the relationship between Zika transmission and its influence factors, such as socioeconomic, climate, and environmental. By understanding the elements of the influence of Zika transmission and implementing a data analysis system, the app serves as a preventative tool for Zika epidemic outbreaks.