Conference proceeding
Budgeted Maximum Coverage with Overlapping Costs: Monitoring the Emerging Infections Network
Society for Industrial and Applied Mathematics. Proceedings of the Workshop on Algorithm Engineering and Experiments (ALENEX), p.112
01/01/2010
Abstract
The Emerging Infections Network (EIN) is a CDC supported "sentinel" network of over 1,400 members (currently), designed to connect clinical infectious disease specialists and public health officials. Members primarily communicate through an EIN managed listserv and discuss disease outbreaks, treatment protocols, effectiveness of vaccinations and other disease-control and prevention mechanisms, etc. Recently, researchers at Google and Yahoo! Research have used search engine query logs to tap into the online "wisdom of crowds" and produce disease outbreak trends for flu. Following this work, there is now interest in trying to monitor EIN discussions more carefully to disseminate timely and accurate information on clinical events of possible interest to health officials.
Details
- Title: Subtitle
- Budgeted Maximum Coverage with Overlapping Costs: Monitoring the Emerging Infections Network
- Creators
- Donald E CurtisSriram V PemmarajuPhilip Polgreen
- Resource Type
- Conference proceeding
- Publication Details
- Society for Industrial and Applied Mathematics. Proceedings of the Workshop on Algorithm Engineering and Experiments (ALENEX), p.112
- eISSN
- 2164-0300
- Publisher
- Society for Industrial and Applied Mathematics
- Language
- English
- Date published
- 01/01/2010
- Academic Unit
- Infectious Diseases; Epidemiology; Injury Prevention Research Center; Computer Science; Internal Medicine
- Record Identifier
- 9984259463702771
Metrics
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