How Have Computational Methods Enhanced Disease Surveillance?

Disease surveillance has been greatly enhanced by computational methods. Traditional surveillance relied heavily on manual data collection and analysis, which was often slow and prone to errors. With real-time data processing capabilities, computational methods allow for rapid analysis of data from various sources, including social media, electronic health records, and mobile health applications. This real-time analysis helps in early detection of outbreaks and timely intervention, ultimately improving public health responses.