The analysis in digital epidemiology typically involves several computational methods such as:
Machine learning: Algorithms can identify patterns and predict disease outbreaks. Natural Language Processing (NLP): This is used to extract relevant information from unstructured text data like tweets or news articles. Statistical models: These are applied to estimate the spread and impact of diseases.
