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Viruses as Complex Adaptive Systems$
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Richard Sole and Santiago F. Elena

Print publication date: 2018

Print ISBN-13: 9780691158846

Published to Princeton Scholarship Online: May 2019

DOI: 10.23943/princeton/9780691158846.001.0001

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Epidemics

Epidemics

Chapter:
(p.120) 5 Epidemics
Source:
Viruses as Complex Adaptive Systems
Author(s):

Ricard Solé

Santiago F. Elena

Publisher:
Princeton University Press
DOI:10.23943/princeton/9780691158846.003.0005

It has been argued that epidemics have played a major role in human history. For example, the arrival of the British in Australia triggered a deadly wave of smallpox infections, with the estimated death of half of the indigenous Australians. The same virus wiped out the population of Easter Island, and measles eliminated a third of the inhabitants of Fiji. New threats have also emerged as human populations explode and pressure on ecosystems crosses sustainability thresholds. In order to understand how to deal with epidemics and eradicate them, there is a need to first understand how they spread. This chapter begins with a discussion of epidemic modeling, specifically the SIS model. It then covers the SIS model in space and graphs, modeling HIV-1 transmission, and halting viruses in scale-free networks.

Keywords:   viruses, epidemics, outbreaks, SIS model, HIV-1 transmission, scale-free networks

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