Several factors drive transformation in epidemiology. Among them are:
Technological Advances: Innovations such as machine learning, genomics, and improved data analytics have significantly altered the landscape of epidemiological research. Public Health Crises: Events like the COVID-19 pandemic necessitate rapid transformation in epidemiological methods to understand and mitigate the spread of the disease. Globalization: Increased global interconnectedness has led to the rapid spread of infectious diseases, requiring new approaches to epidemiological surveillance and response. Policy Changes: Shifts in health policy, often driven by new evidence, can also prompt transformations in how epidemiological research is conducted.
