Week 16

Applications – Epidemic spreading

For our final week, we will look at applications of CUS to public health and infectious disease prevention. We will begin with a crash course in epidemiology and infectious disease modeling. Then, we’ll discuss the role that the behavioral data can play in improving outbreak response. We’ll end by touching on the ethical use of behavioral data for countering outbreaks, as well as novel technology for producing behavioral analytics in the context of infectious disease response.

Prepare

📖 Read this review of opportunities for further integrating social and behavioral data in infectious disease modeling: A review and agenda for integrated disease models including social and behavioural factors .

📖 Read a COVID-era review by Caroline Buckee & team on the use of behavioral data for epidemic response: The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology .

📖 Check out this taxonomy and review of mobile phone data and the way it can be used for epidemic response: Measuring mobility to monitor travel and physical distancing interventions: a common framework for mobile phone data analysis .

Participate

🖥️ Lecture 16 – Applications – Epidemic spreading

Perform

Instead of practicals this week, we will use the remaining 2 hours for final project presentations.



Back to course schedule ⏎

References

[1]
J. Bedson et al., “A review and agenda for integrated disease models including social and behavioural factors,” Nature Human Behaviour, vol. 5, no. 7, pp. 834–846, Jul. 2021, doi: 10.1038/s41562-021-01136-2.
[2]
K. H. Grantz et al., “The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology,” Nature Communications, vol. 11, no. 1, p. 4961, Sep. 2020, doi: 10.1038/s41467-020-18190-5.
[3]
N. Kishore et al., “Measuring mobility to monitor travel and physical distancing interventions: A common framework for mobile phone data analysis,” The Lancet Digital Health, vol. 2, no. 11, pp. e622–e628, Nov. 2020, doi: 10.1016/S2589-7500(20)30193-X.