 | This article includes a list of references, related reading, or external links, but its sources remain unclear because it lacks inline citations. (February 2016) |
Computational epidemiology is a multidisciplinary field that uses techniques from computer science, mathematics, geographic information science and public health to better understand issues central to epidemiology such as the spread of diseases or the effectiveness of a public health intervention. Computational epidemiology traces its origins to mathematical epidemiology, but began to experience significant growth with the rise of big data and the democratization of high-performance computing through cloud computing.[1]
- ^ von Csefalvay, Chris (2023), "Introduction", Computational Modeling of Infectious Disease, Elsevier, pp. 1–17, doi:10.1016/b978-0-32-395389-4.00010-4, ISBN 978-0-323-95389-4, retrieved 2023-03-01