Combined sensors work by amalgamating different types of sensors such as biological, chemical, and physical sensors. For example, a combined sensor might include a temperature sensor, a heart rate monitor, and an air quality sensor. These sensors collectively gather data that can be used to track the spread of infectious diseases, monitor chronic conditions, and evaluate the effectiveness of public health interventions. The data is then transmitted to a centralized system where it can be analyzed using machine learning algorithms and other analytical tools.
