Yellow fever is a viral, hemorrhagic, vector-borne illness that often has a shorter life span. Large epidemics are caused by highly populated areas with high mosquito densities and low immunisation rates. The disease's toxic phase is lethal. Disease identification using traditional approaches was a laborious process. Improved internet connectivity, cloud computing, mobile technology, and fog computing advancements have improved the quality of distant healthcare services. Fog computing is being used to construct healthcare systems, and this is showing promise as an effective result. Fog computing offers low delay, minimum reaction time, high mobility, improved service quality, site/position awareness, and notification services at the network edge. This research proposes fog-based healthcare systems and mosquito sensors to detect and manage the yellow fever pandemic. The fuzzy k-NN is used to identify infected and uninfected users and quickly generates emergency reminders for users on fog servers. Furthermore, on cloud servers, information granulation and GPS (geographic positioning/location system) are used to represent each yellow fever user on Google Maps so that the isolation of infected users can be enforced. This will prevent further exposure to citizens, thereby improving development by government agencies and researchers in a better way.