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CSE 8803 EPI, Fall 2025
Data Science for Epidemiology
Lectures and Readings
08/19: Course Logistics
[SLIDES]
08/21: Introduction
[SLIDES]
[SCRIBE-NOTES]
Readings:
Tina Rosenberg.
Stopping Pandemics Before they Start
, New York Times, June 2017.
Optional Readings:
Ed Young.
The next plauge is coming: Is America ready?
, The Atlantic, July/Aug 2018.
08/26: Models (I)
[SLIDES]
[SCRIBE-NOTES]
Readings:
H. Hethcote. Sections 1-2.4.
The mathematics of infectious diseases
, SIAM Review, 2000.
Optional Readings:
Ina Holmdahl and Caroline Buckee.
Wrong but Useful — What Covid-19 Epidemiologic Models Can and Cannot Tell Us
, The New England Journal of Medicine, July 2020.
Simon Frost, Epidemiological Models Interactive Example (try it out!):
SIR in Python using scipy
, Accessed Aug 2020.
Another Interactive COVID-19 SEIR model (try it out!):
Modeling COVID-19 Spread vs Healthcare Capacity
, Accessed Aug 2020.
(Details about Bernoulli's model) M. Glomski and E. Ohanian.
Eradicating a Disease: Lessons from Mathematical Epidemiology
. College Mathematics Journal. 2012.
08/28: Models (II)
[SLIDES]
[SCRIBE-NOTES]
Readings:
Chapter 21 from Easley and Kleinberg:
Epidemics
.
Optional Readings:
Stephen Eubank, Hasan Guclu, V.S. Anil Kumar, Madhav Marathe, Aravind Srinivasan, Zoltan Toroczkai and Nan Wang.
Modeling disease outbreaks in realistic urban social networks
. Nature. 2004.
D. Balcan, V. Colizza, B. Goncalves, H. Hu, J. Ramasco and A. Vespignani.
Multiscale mobility networks and the spatial spreading of infectious diseases
. PNAS 2009.
L. Pellis, F. Ball, S. Bansal, K. Eames, T. House, V. Isham and P. Trapman.
Eight challenges for network epidemic models
. Epidemics 2015
C. T. Kelley.
Iterative methods for Optimization
. SIAM 1999.
09/02: Other Contagion Models
[SLIDES]
[SCRIBE-NOTES]
Readings:
David Kempe, Jon Kleinberg, and Eva Tardos.
Maximizing the spread of influence through a social network
. SIGKDD 2003.
L. Pelley.
Why COVID-19 and flu could be in a 'tug of war' in the years ahead
. CBC 2022.
Optional Readings:
Joao Gama Oliveira and Albert-Lazlo Barabasi.
Darwin and Einstein correspondence patterns
. Nature, 2005.
P. S. Dodds and D. J. Watts.
Universal behavior in a generalized model of contagion
. PRL 2004.
Y. Matsubara, Y. Sakurai, B. A. Prakash, L. Li, C. Faloutsos.
Rise and Fall Patterns of Information Diffusion: Model and Implications
. SIGKDD, 2012.
D. Romero, B. Meeder, J. Kleinberg.
Differences in the Mechanics of Information Diffusion Across Topics: Idioms, Political Hashtags, and Complex Contagion on Twitter
. WWW, 2011.
The Lotka-Volterra Model
. Wikipedia.
A. Beutel, B. A. Prakash, R. Rosenfeld and C. Faloutsos.
Interacting Viruses in Networks: Can Both Survive?
. SIGKDD 2012.
S. Nickbakhsh et al.
Virus–virus interactions impact the population dynamics of influenza and the common cold.
PNAS 2019.
R. Baker et al.
The impact of COVID-19 nonpharmaceutical interventions on the future dynamics of endemic infections
. PNAS 2020.
09/04: Dynamics of Models
[SLIDES]
[SCRIBE-NOTES]
Readings:
B. A. Prakash et al.
Threshold Conditions for Arbitrary Cascade Models on Arbitrary Networks
. ICDM 2011.
Optional Readings:
R. Pastor-Santorras and A. Vespignani.
Epidemic spreading in scale-free networks.
Physical Review Letters 86, 14, 2001.
A. Ganesh et al.
The effect of network topology on the spread of epidemics
, INFOCOM 2005.
B. Grenfell et al.
Travelling waves and spatial hierarchies in measles epidemics
. Nature 2001.
N. C. Grassly et al.
Host immunity and synchronized epidemics of syphilis across the United States
Nature 2005
B. A. Prakash et al.
Winner-takes-all: Competing Viruses on fair-play networks
. WWW 2012
Chapter 21 from Easley and Kleinberg:
Epidemics
. (See Sec 21.5)
09/09: Network Construction
[SLIDES]
[SCRIBE-NOTES]
Readings:
Madhav Marathe and Anil Vullikanti.
Computational Epidemiology
, CACM 2013
N. Dimitrov and L. Meyers. Section 5.
Mathematical Approaches to Infectious Disease Prediction and Control
, INFORMS 2010.
Optional Readings:
V. Das Swain, J. Xie et al.
WiFi mobility models for COVID-19 enable less burdensome and more localized interventions for university campuses
. Frontiers Public Health, 2023.
S. Pai et al.
Spatiotemporal clustering of in-hospital Clostridioides difficile infection
. Infection Control and Hospital Epi. 2020
A. Aleta et al.
Modelling the impact of testing, contact tracing and household quarantine on second waves of COVID-19
. Nature Human Behavior 2020.
K. Eames, S. Bansal, S. Frost and S. Riley.
Six challenges in measuring contact networks for use in modelling.
Epidemics, 2015.
P. S. Bearman, J. Moody, and K. Stoval.
Chains of affection: The structure of adolescent romantic and sexual networks
AJS 2004.
P. Sapiezynski, A. Stopczynski, D. D. Lassen, and S. Lehmann
Interaction data from the copenhagen networks study
. Nature Scientific Data, 2019.
A. Hess, K. A. Hummel, W. N. Gansterer, G. Haring.
Data-driven Human Mobility Modeling: A Survey and Engineering Guidance for Mobile Networking.
ACM Computing Surveys, 2016.