Exploring Healthcare Data Analytics for Effective Dengue Prevention and Control Strategies

Data analysis plays a vital role in hospitals, Clinics, Doctors’ offices, and Diagnostic centers to stop sickness before it starts and after it has already passed. Researchers now comprehend the predictive analysis of city dengue. Dengue fever is a tropical illness that affects hot and humid regions of the world, primarily cities and residential areas. The World Health Organization (WHO) claims that by comparing and evaluating the previous five eras. Manual dengue transmission leads to 50–100 million new infections annually in over 80 countries. Data and visual analysis is a burgeoning field that involves creating and developing information for dynamic, ambiguous, and massive datasets. Digital data facilitates quick comprehension of everything, allows us to obtain information through specific digitalization, and supports efficient decision-making to handle our data organizationally. Epidemiologists have developed a straightforward model to predict dengue outbreaks. The primary goal is to stop the spread of the dengue virus, thus empowering people by forecasting and managing dengue outbreaks, training medical personnel, and exploring the possibility of developing early detection and treatment options.