Further Reading: Chapter 24 — Epidemiological Surveillance

1. Rothman, Kenneth J., Sander Greenland, and Timothy L. Lash (eds.) — Modern Epidemiology (Lippincott Williams & Wilkins, 3rd edition, 2008)

The standard academic text for graduate public health epidemiology programs. Comprehensive, rigorous, and appropriately technical. Chapters 2-3 cover epidemiological study design and surveillance methodology in detail; the later chapters on bias, confounding, and interaction provide the methodological vocabulary for critically evaluating epidemiological claims. Students interested in moving from conceptual understanding to methodological competence will find this the essential reference. Not light reading, but the authoritative source on how epidemiology actually works.

2. Jones, David S. — Rationalizing Epidemics: Meanings and Uses of American Indian Mortality since 1600 (Harvard University Press, 2004)

This historical study traces how American Indian mortality has been documented, explained, and at times systematically misrepresented in epidemiological records from colonial times through the twentieth century. Jones demonstrates that epidemiological surveillance of marginalized populations has consistently reflected the ideological commitments of the observers — attributing mortality to Indigenous "genetic vulnerability" rather than to the structural violence of dispossession, poverty, and inadequate care. Essential reading alongside the Tuskegee case study for understanding the history of racially biased epidemiological surveillance.

3. Washington, Harriet A. — Medical Apartheid: The Dark History of Medical Experimentation on Black Americans from Colonial Times to the Present (Doubleday, 2006)

The most comprehensive account of the long history of non-consensual and exploitative medical experimentation and surveillance involving Black Americans. Washington begins well before Tuskegee and extends to contemporary research ethics controversies. The book provides essential historical context for the distrust of medical and public health institutions in Black communities — demonstrating that this distrust is not irrational or merely a residue of Tuskegee but reflects a consistent historical pattern of which Tuskegee is only the most notorious example. Persuasively argues that the structural conditions enabling exploitation have not been fully dismantled.

4. Alsan, Marcella and Marianne Wanamaker — "Tuskegee and the Health of Black Men" (Quarterly Journal of Economics, 133(1), 2018)

The peer-reviewed paper quantifying the long-run health impact of the Tuskegee study's 1972 revelation. Using historical data on physician availability, Black male mortality, and healthcare utilization, Alsan and Wanamaker estimate that the Tuskegee revelation caused a large, sustained reduction in healthcare utilization by older Black men — and model that this reduction may explain approximately 35% of the 1980 racial gap in male life expectancy for the relevant age cohorts. This paper translates the moral wrong of Tuskegee into quantifiable public health consequences, providing the empirical foundation for the chapter's argument that surveillance exploitation produces measurable mortality through the chilling effect on care-seeking.

5. Fricker, Ron D. — Introduction to Statistical Methods for Biosurveillance (Cambridge University Press, 2013)

A technical introduction to the statistical methods used in public health surveillance — specifically, methods for detecting unusual patterns in disease data that might indicate emerging outbreaks. This book provides the quantitative foundation for understanding how syndromic surveillance actually works: how anomaly detection algorithms function, how spatial cluster detection is performed, and what the statistical tradeoffs are between sensitivity (detecting real outbreaks) and specificity (avoiding false alarms). Essential for students who want to evaluate surveillance accuracy claims with quantitative rigor.

6. Schwartz, Jason L. and Aaron S. Kesselheim — "Multidisciplinary Perspectives on the Tuskegee Syphilis Study" (Kennedy Institute of Ethics Journal, 22(3), 2012)

A collection of analyses examining the Tuskegee study from medical, historical, legal, and bioethical perspectives. Particularly valuable is the analysis of how the study's ethical failures interacted with the existing racial structure of American medicine and public health — demonstrating that Tuskegee was not an aberration but a product of specific institutional and ideological conditions that persist in modified form. The bioethical analysis of how Tuskegee shaped the Belmont Report and IRB system is directly relevant to the chapter's discussion of research ethics governance.

7. Prainsack, Barbara and Alena Buyx — Solidarity: Reflections on an Emerging Concept in Bioethics (Nuffield Council on Bioethics, 2011)

Available free from the Nuffield Council. This report develops a "solidarity" framework for research ethics that goes beyond the individualistic consent-focused model of the Belmont Report. Solidarity, in this framework, means recognizing that research participation involves contributing to a collective good and that this collective orientation should shape both participant obligations and researcher and institutional obligations in return. This framework is particularly applicable to biobank research, where the resource is explicitly positioned as a commons. The solidarity concept also provides a useful counterpoint to the individual rights–focused critique of epidemiological surveillance.

8. Mello, Michelle M. and Leslie E. Wolf — "The Havasupai Indian Tribe Case — Lessons for Research Involving Stored Biological Samples" (New England Journal of Medicine, 363(3), 2010)

A case study of a different kind of biobank controversy: the Havasupai Tribe's 1989 blood donation to diabetes researchers at Arizona State University, which was then used — without Tribal consent — for research into schizophrenia, migration patterns, and evolutionary history. The research violated Havasupai beliefs about genetic data and its proper uses; the Tribe sued and received a settlement in 2010. This case, alongside Tuskegee, illustrates how broad consent can be exploited when participant populations cannot anticipate the research purposes to which their data will be put — and how communities with specific cultural contexts around biological materials may have concerns that standard consent frameworks do not capture.

9. Gostin, Lawrence O. and James G. Hodge Jr. — Public Health Law: Power, Duty, Restraint (University of California Press, 3rd edition, 2016)

The leading academic text on the legal dimensions of public health authority — including surveillance authority. Gostin and Hodge provide detailed analysis of mandatory reporting law, quarantine and isolation authority, contact tracing legal frameworks, and the constitutional limits on public health surveillance powers. Essential for students interested in the legal architecture within which epidemiological surveillance operates. The chapter on surveillance specifically addresses the tension between public health necessity and Fourth Amendment constraints.

10. Kelleher, John D. — Deep Learning (MIT Press Essential Knowledge, 2019)

Chapter 5 covers the neural network approaches used in genomics and biomedical data analysis — including the machine learning methods that make biobank-scale genetic analysis feasible. While the book is primarily a technical introduction to deep learning, its treatment of biomedical applications is accessible and directly relevant to understanding how biobanks are analyzed, what AI-assisted genetic analysis can and cannot do, and what privacy implications follow from the combination of large-scale genetic data and powerful analytical tools. Students interested in how machine learning intersects with epidemiological surveillance will find this a useful technical grounding.

For primary source access to John Snow's original cholera investigation materials, including his maps and publications, see the UCLA John Snow site at ph.ucla.edu/epi/snow.html. For current epidemiological surveillance data from the CDC, including the Morbidity and Mortality Weekly Report (MMWR), see cdc.gov. The Belmont Report is available in full at hhs.gov/ohrp/regulations-and-policy/belmont-report.