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" "Despite the advances of modern medicine, the challenges of global epidemics have only become greater. Habitat loss of viral reservoir species increases the likelihood of zoonotic spillover events. Our global trade and transportation networks enable pathogens to make their way around the world in 24 hours. Climate change is disrupting fragile ecosystems and global poverty, especially urban poverty, exacerbates the problem.
Chris von Csefalvay (born 15 July 1986) is a Hungarian-British computational epidemiologist and data scientist. He has written extensively about agentic AI, a concept he was among the first to describe, and on the computational modelling of infectious diseases. He is currently a Principal specializing in AI at HCLTech. He published his first monograph, Computational Modeling of Infectious Disease in 2023. He lives in Washington, DC with his wife, the art historian and illustrator Katie Hedrick, and their Golden Retriever.
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Computational models of infectious disease can make all the difference in our response to pandemics. As habitat loss and climate change make zoonotic spillover events increasingly more likely, COVID-19 is almost certainly not the last major pan- demic of the 21st century. In fact, it is reasonable to assume that such outbreaks will become increasingly frequent. Computational models can be powerful weapons in our fight against pandemics.
The term 'natural immunity' has been often used to express post-infectious immunity and differentiate it from vaccine-induced immunity. In practice, this is not necessarily helpful. There is nothing fundamentally "unnatural" in vaccine-induced immunity, and while the minutiae of natural infection and vaccine-induced immunity might differ, this is a quintessentially unhelpful notion.