What Mathematical Models Can and Cannot Tell Us About the Spread of Infectious Diseases
Explore the capabilities and limitations of mathematical models in predicting disease spread in this lecture by Sandeep Krishna from the International Centre for Theoretical Sciences. Delve into the complex world of disease ecology and epidemiological modeling as part of the "Emerging Infectious Diseases: Ecology and Evolution" program. Gain insights into how mathematical approaches can illuminate patterns of disease transmission, while also understanding their constraints. Learn about the integration of various scientific disciplines, including ecology, evolution, and mathematics, to comprehend the distribution, prevalence, and dynamics of diseases in animal populations. Discover how these models contribute to our understanding of global health challenges like COVID-19 and Ebola, and their potential applications in addressing real-world issues in disease ecology.