Digital Epidemiology

By Marcel Salathé, Linus Bengtsson, Todd J. Bodnar, Devon D. Brewer, John S. Brownstein, C. Buckee, Ellsworth M. Campbell, Ciro Cattuto, Shashank Khandelwal, P. Mabry and 1 more. PLoS Comput. Biol., 2012

452 citations recorded by the source corpus.

Mobile, social, real-time: the ongoing revolution in the way people communicate has given rise to a new kind of epidemiology. Digital data sources, when harnessed appropriately, can provide local and timely information about disease and health dynamics in populations around the world. The rapid, unprecedented increase in the availability of relevant data from various digital sources creates considerable technical and computational challenges.

Subfields: Epidemiology

View Paper: https://www.semanticscholar.org/paper/cb7ed917cda81ae9294baa0932e8bdccd769e41c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Epidemiology

1. Nicola Perra
2. Gabriela Ochoa
3. Marcel Salathé
4. Amaryllis Mavragani

Citations in the corpus

• Social media analytics: a survey of techniques, tools and platforms (2014, background): “An example is Penn State University biologists (Salathé et al. 2012) who have developed innovative systems and techniques to track the spread of infectious diseases, with the help of news Web sites, blogs and social media.”
• Statistical physics of vaccination (2016, background): “Indeed, all these behaviors and interactions between us or with technology can be extremely relevant to model, characterize, anticipate, and forecast the unfolding of infectious diseases [640].”
• Modeling infectious disease dynamics in the complex landscape of global health (2015, unknown): “potentially drawing on new data sources from social media (59, 60), as well as for models that can capture national and nongovernmental motivations, interactions, and competition, economical or otherwise.”
• Google Trends in Infodemiology and Infoveillance: Methodology Framework (2019, background): “Over the past decade, Web-based data are used extensively in digital epidemiology, with online sources playing a central role in health informatics [1,2,52].”