Custom algorithms are crucial because they provide specificity and adaptability in data analysis. Off-the-shelf models may not accommodate the nuances of local data or the unique characteristics of certain diseases. By creating personalized algorithms, epidemiologists can enhance predictive accuracy, improve intervention strategies, and gain deeper insights into disease patterns and dynamics.
