Skip Nav Destination
Close Modal
Update search
NARROW
Format
Subjects
Date
Availability
1-20 of 21
Eugene T Richardson
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Publisher: The MIT Press
Published: 22 December 2020
DOI: 10.7551/mitpress/12550.001.0001
EISBN: 9780262365185
A physician-anthropologist explores how public health practices—from epidemiological modeling to outbreak containment—help perpetuate global inequities. In Epidemic Illusions , Eugene Richardson, a physician and an anthropologist, contends that public health practices—from epidemiological modeling and outbreak containment to Big Data and causal inference—play an essential role in perpetuating a range of global inequities. Drawing on postcolonial theory, medical anthropology, and critical science studies, Richardson demonstrates the ways in which the flagship discipline of epidemiology has been shaped by the colonial, racist, and patriarchal system that had its inception in 1492. Deploying a range of rhetorical tools, including ironism, “redescriptions” of public health crises, Platonic dialogue, flash fiction, allegory, and koan, Richardson describes how epidemiology uses models of disease causation that serve protected affluence (the possessing classes) by setting epistemic limits to the understanding of why some groups live sicker lives than others—limits that sustain predatory accumulation rather than challenge it. Drawing on his clinical work in a variety of epidemics, including Ebola in West Africa and the Democratic Republic of Congo, leishmania in the Sudan, HIV/TB in southern Africa, diphtheria in Bangladesh, and SARS-CoV-2 in the United States, he concludes that the biggest epidemic we currently face is an epidemic of illusions—one that is propagated by the coloniality of knowledge production.
Publisher: The MIT Press
Published: 22 December 2020
DOI: 10.7551/mitpress/12550.003.0001
EISBN: 9780262365185
Publisher: The MIT Press
Published: 22 December 2020
DOI: 10.7551/mitpress/12550.003.0002
EISBN: 9780262365185
Publisher: The MIT Press
Published: 22 December 2020
EISBN: 9780262365185
Publisher: The MIT Press
Published: 22 December 2020
DOI: 10.7551/mitpress/12550.003.0004
EISBN: 9780262365185
Publisher: The MIT Press
Published: 22 December 2020
DOI: 10.7551/mitpress/12550.003.0005
EISBN: 9780262365185
Publisher: The MIT Press
Published: 22 December 2020
DOI: 10.7551/mitpress/12550.003.0006
EISBN: 9780262365185
Publisher: The MIT Press
Published: 22 December 2020
DOI: 10.7551/mitpress/12550.003.0007
EISBN: 9780262365185
Publisher: The MIT Press
Published: 22 December 2020
DOI: 10.7551/mitpress/12550.003.0008
EISBN: 9780262365185
Publisher: The MIT Press
Published: 22 December 2020
DOI: 10.7551/mitpress/12550.003.0009
EISBN: 9780262365185
Publisher: The MIT Press
Published: 22 December 2020
DOI: 10.7551/mitpress/12550.003.0010
EISBN: 9780262365185
Publisher: The MIT Press
Published: 22 December 2020
DOI: 10.7551/mitpress/12550.003.0011
EISBN: 9780262365185
Publisher: The MIT Press
Published: 22 December 2020
DOI: 10.7551/mitpress/12550.003.0012
EISBN: 9780262365185
Publisher: The MIT Press
Published: 22 December 2020
DOI: 10.7551/mitpress/12550.003.0013
EISBN: 9780262365185
Publisher: The MIT Press
Published: 22 December 2020
DOI: 10.7551/mitpress/12550.003.0014
EISBN: 9780262365185
Publisher: The MIT Press
Published: 22 December 2020
DOI: 10.7551/mitpress/12550.003.0015
EISBN: 9780262365185
Publisher: The MIT Press
Published: 22 December 2020
EISBN: 9780262365185
Publisher: The MIT Press
Published: 22 December 2020
DOI: 10.7551/mitpress/12550.003.0017
EISBN: 9780262365185
Publisher: The MIT Press
Published: 22 December 2020
DOI: 10.7551/mitpress/12550.003.0018
EISBN: 9780262365185
Publisher: The MIT Press
Published: 22 December 2020
DOI: 10.7551/mitpress/12550.003.0019
EISBN: 9780262365185