This site links to code used in the book: Basu, Sanjay. Modeling Public Health and Healthcare Systems. New York: Oxford University Press, 2017.
The book aims to empower readers to learn and apply engineering, operations research and modeling techniques to improve public health programs and healthcare systems. Readers will engage in in-depth study of disease detection and control strategies from a "systems science" perspective, which involves the use of common engineering, operations research, and mathematical modeling techniques such as optimization, queuing theory, Markov and Kermack-McKendrick models, and microsimulation. Chapters focus on applying these techniques to classical public health dilemmas such as how to optimize screening programs, reduce waiting times for healthcare services, solve resource allocation problems, and compare macro-scale disease control strategies that cannot be easily evaluated through standard public health methods such as randomized trials or cohort studies. The book is organized around solving real-world problems, typically derived from actual experiences by staff at non-governmental organizations, departments of public health, and international health agencies. In addition to teaching the theory behind modeling methods, the book aims to confer practical skills to readers, through practice in model implementation, using the statistical software R.
All materials are subject to copyright, (c) Oxford University Press, 2017.
There is a typo in Chapter 10. Please use the version of chapter 10 uploaded above, which has an update of section 10.2 and a new version of Figures 10.6 and 10.8
There is a reference missing from Chapter 5. The reference list includes: Sohler Everingham, Susan S., C. Peter Rydell, and Jonathan P. Caulkins, Cocaine consumption in the United States : estimating past trends and future scenarios. Santa Monica, CA: RAND Corporation, 1996. https://www.rand.org/pubs/reprints/RP545.html.