Epidemiology

The word epidemiology comes from the Greek words epi, meaning on or upon, demos, meaning people, and logos, meaning the study of. In other words, the word epidemiology has its roots in the study of what befalls a population.

Epidemiology, a branch of Public Health, is the study of how often diseases occur in different groups of people and why. Epidemiological information is used to plan and evaluate strategies to prevent illness and as a guide to the management of patients in whom disease has already developed.

The Ghost Map: The Story of London's Most Terrifying Epidemic—and How It Changed Science, Cities, and the Modern World
The Hot Zone: The Terrifying True Story of the Origins of the Ebola Virus
The Great Influenza: The Story of the Deadliest Pandemic in History
Spillover: Animal Infections and the Next Human Pandemic
The Coming Plague: Newly Emerging Diseases in a World Out of Balance
The Demon in the Freezer
Pandemic: Tracking Contagions, from Cholera to Ebola and Beyond
And the Band Played On: Politics, People, and the AIDS Epidemic
Everything Is Tuberculosis: The History and Persistence of Our Deadliest Infection
Rabid: A Cultural History of the World's Most Diabolical Virus
Flu: The Story Of the Great Influenza Pandemic of 1918 and the Search for the Virus That Caused It
The American Plague: The Untold Story of Yellow Fever, the Epidemic that Shaped Our History
Get Well Soon: History's Worst Plagues and the Heroes Who Fought Them
Beating Back the Devil: On the Front Lines with the Disease Detectives of the Epidemic Intelligence Service
Pale Rider: The Spanish Flu of 1918 and How It Changed the World
Chris von Csefalvay
“ MARV serves as a poignant example of the way a pathogen that is highly prevalent in its reservoir host population can hide safely without human notice, until in some unfortunate accident, hosts and vectors cross paths. ”
― Chris von Csefalvay, Computational Modeling of Infectious Disease: With Applications in Python

Tom Golway
“ Epidemiology is an ever evolving science since predictive models have significant sensitive dependencies on initial assumptions - Tom Golway ”
― Tom Golway

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