👉 Illness computing, also known as computational epidemiology or digital epidemiology, is an interdisciplinary field that leverages data science, machine learning, and computational methods to understand, predict, and control the spread of diseases. It involves collecting and analyzing vast amounts of data from various sources, such as social media, mobile devices, healthcare records, and environmental sensors, to model disease transmission patterns and identify risk factors. By applying algorithms and statistical techniques, researchers can forecast outbreaks, assess the effectiveness of interventions, and inform public health policies. This approach enhances traditional epidemiological methods by providing real-time insights, enabling more rapid and targeted responses to emerging health threats.
