Accurate prediction requires a wide range of data, including:
- Surveillance Data: Information on current and past disease cases. - Demographic Data: Population characteristics such as age, sex, and density. - Environmental Data: Climate variables like temperature, humidity, and precipitation. - Behavioral Data: Human activities that might influence the spread of disease. - Healthcare Data: Information on healthcare access and vaccination rates.
