Improving Preparedness in Epidemic Healthcare using Data Science

Abstract

Dengue fever or dengue is a virus spread through mosquito bites. This virus present itself in the form of fever, headaches, vomiting, nausea and in some cases it can lead to death. Since this illness is carried by mosquitoes. By forecasting the spread of this disease the health agencies can better organize their preventive measures such as vaccination and provide information to the public about this illness. Interactive information visualization and visual analytics methods will bring profound changes to personal health programs, clinical healthcare delivery, and public health policymaking. This paper offers several challenges for data visualization and analytics researchers. The problems and challenges are aligned a roadmap for Predictive, Preemptive, Personalized, and Participative Healthcare Systems to improve the preparedness in epidemic healthcare for future.