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DENECKE, K. KRIECK, M. OTRUSINA, L. SMRŽ, P. DOLOG, P. NEJDL, W. VELASCO, E.
Original Title
How to Exploit Twitter for Public Health Monitoring
Type
journal article - other
Language
English
Original Abstract
Detecting hints to public health threats as early as possible is crucial to prevent harm from the population. However, many disease surveillance strategies rely upon data whose collection requires explicit reporting (data transmitted from hospitals, laboratories or physicians). Collecting reports takes time so that the reaction time grows. Moreover, context information on individual cases is often lost in the collection process. This paper describes a system that tries to address these limitations by processing social media for identifying information on public health threats. The primary objective is to study the usefulness of the approach for supporting the monitoring of a population's health status.
Keywords
public health monitoring; social media analysis; big data for health
Authors
DENECKE, K.; KRIECK, M.; OTRUSINA, L.; SMRŽ, P.; DOLOG, P.; NEJDL, W.; VELASCO, E.
RIV year
2013
Released
12. 8. 2013
ISBN
0026-1270
Periodical
Methods of Information in Medicine
Year of study
52
Number
4
State
Federal Republic of Germany
Pages from
326
Pages to
339
Pages count
14
BibTex
@article{BUT119886, author="Kerstin {Denecke} and Manuela {Krieck} and Lubomír {Otrusina} and Pavel {Smrž} and Peter {Dolog} and Wolfgang {Nejdl} and Edward {Velasco}", title="How to Exploit Twitter for Public Health Monitoring", journal="Methods of Information in Medicine", year="2013", volume="52", number="4", pages="326--339", issn="0026-1270" }