Dengue surveillance based on a computational model of spatio-temporal locality of Twitter
- 15 June 2011
- conference paper
- conference paper
- Published by Association for Computing Machinery (ACM)
Abstract
No abstract availableKeywords
Funding Information
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Fundação de Amparo à Pesquisa do Estado de Minas Gerais
- INCT
This publication has 15 references indexed in Scilit:
- Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 OutbreakPLOS ONE, 2010
- Predicting consumer behavior with Web searchProceedings of the National Academy of Sciences of the United States of America, 2010
- Infodemiology and Infoveillance: Framework for an Emerging Set of Public Health Informatics Methods to Analyze Search, Communication and Publication Behavior on the InternetJournal of Medical Internet Research, 2009
- Detecting influenza epidemics using search engine query dataNature, 2009
- Web Queries as a Source for Syndromic SurveillancePLOS ONE, 2009
- Using Internet Searches for Influenza SurveillanceClinical Infectious Diseases, 2008
- What does dengue disease surveillance contribute to predicting and detecting outbreaks and describing trends?Tropical Medicine & International Health, 2008
- ST-DBSCAN: An algorithm for clustering spatial–temporal dataData & Knowledge Engineering, 2007
- The power of sampling in knowledge discoveryPublished by Association for Computing Machinery (ACM) ,1994
- Mining association rules between sets of items in large databasesPublished by Association for Computing Machinery (ACM) ,1993