Situation Awareness in Crowdsensing for Disease Surveillance in Crisis Situations

Peter Haddawy; Giorgio De Felice; Lutz Frommberger; Prae Charkratpahu; Sirawaratt Saengpao; Phanumas Kanchanakitsakul; Tomi Kauppinen

doi:10.1145/2737856.2737879

Situation Awareness in Crowdsensing for Disease Surveillance in Crisis Situations

Peter Haddawy
, Giorgio De Felice
, Lutz Frommberger
, Prae Charkratpahu
, Sirawaratt Saengpao
, Phanumas Kanchanakitsakul
, Tomi Kauppinen

Computer Science Academic Group

University of Bremen
Mahidol University
Aalto University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

Abstract

Crowdsensing can provide real time and detailed information about rapidly evolving crisis situations to facilitate rapid response and effective resource allocation. But while challenges such as heterogeneity of data content and quality, asynchronicity, and volume call for robust data integration and interpretation capabilities, situation awareness in crowdsensing for crisis management remains a largely unexplored area of research. In this paper we extend the mobile4D smartphone-based disaster reporting and alerting system with a situation awareness data interpretation and integration layer and demonstrate its application to the problem of tracking cholera outbreaks. The communication workflow in mobile4D-SA supports interaction between crowdsensed information, system predictions, and multifaceted communication between authorities and affected people on the ground.

Original language	English
Title of host publication	Proceedings of the 7th International Conference on Information and Communication Technologies and Development, ICTD 2015
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450331630
DOIs	https://doi.org/10.1145/2737856.2737879
Publication status	Published - 15 May 2015
Event	7th International Conference on Information and Communication Technologies and Development, ICTD 2015 - Singapore, Singapore Duration: 15 May 2015 → 18 May 2015

Publication series

Name	ACM International Conference Proceeding Series
Volume	15

Conference

Conference	7th International Conference on Information and Communication Technologies and Development, ICTD 2015
Country/Territory	Singapore
City	Singapore
Period	15/05/15 → 18/05/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Bayesian Networks
Crowdsourcing
Disease Surveillance
Hidden Markov Models
Situation Awareness

Access to Document

10.1145/2737856.2737879

Cite this

Haddawy, P., De Felice, G., Frommberger, L., Charkratpahu, P., Saengpao, S., Kanchanakitsakul, P., & Kauppinen, T. (2015). Situation Awareness in Crowdsensing for Disease Surveillance in Crisis Situations. In Proceedings of the 7th International Conference on Information and Communication Technologies and Development, ICTD 2015 Article 38 (ACM International Conference Proceeding Series; Vol. 15). Association for Computing Machinery. https://doi.org/10.1145/2737856.2737879

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title = "Situation Awareness in Crowdsensing for Disease Surveillance in Crisis Situations",

abstract = "Crowdsensing can provide real time and detailed information about rapidly evolving crisis situations to facilitate rapid response and effective resource allocation. But while challenges such as heterogeneity of data content and quality, asynchronicity, and volume call for robust data integration and interpretation capabilities, situation awareness in crowdsensing for crisis management remains a largely unexplored area of research. In this paper we extend the mobile4D smartphone-based disaster reporting and alerting system with a situation awareness data interpretation and integration layer and demonstrate its application to the problem of tracking cholera outbreaks. The communication workflow in mobile4D-SA supports interaction between crowdsensed information, system predictions, and multifaceted communication between authorities and affected people on the ground.",

keywords = "Bayesian Networks, Crowdsourcing, Disease Surveillance, Hidden Markov Models, Situation Awareness",

author = "Peter Haddawy and \{De Felice\}, Giorgio and Lutz Frommberger and Prae Charkratpahu and Sirawaratt Saengpao and Phanumas Kanchanakitsakul and Tomi Kauppinen",

year = "2015",

month = may,

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doi = "10.1145/2737856.2737879",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

booktitle = "Proceedings of the 7th International Conference on Information and Communication Technologies and Development, ICTD 2015",

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Haddawy, P, De Felice, G, Frommberger, L, Charkratpahu, P, Saengpao, S, Kanchanakitsakul, P & Kauppinen, T 2015, Situation Awareness in Crowdsensing for Disease Surveillance in Crisis Situations. in Proceedings of the 7th International Conference on Information and Communication Technologies and Development, ICTD 2015., 38, ACM International Conference Proceeding Series, vol. 15, Association for Computing Machinery, 7th International Conference on Information and Communication Technologies and Development, ICTD 2015, Singapore, Singapore, 15/05/15. https://doi.org/10.1145/2737856.2737879

Situation Awareness in Crowdsensing for Disease Surveillance in Crisis Situations. / Haddawy, Peter; De Felice, Giorgio; Frommberger, Lutz et al.
Proceedings of the 7th International Conference on Information and Communication Technologies and Development, ICTD 2015. Association for Computing Machinery, 2015. 38 (ACM International Conference Proceeding Series; Vol. 15).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Situation Awareness in Crowdsensing for Disease Surveillance in Crisis Situations

AU - Haddawy, Peter

AU - De Felice, Giorgio

AU - Frommberger, Lutz

AU - Charkratpahu, Prae

AU - Saengpao, Sirawaratt

AU - Kanchanakitsakul, Phanumas

AU - Kauppinen, Tomi

PY - 2015/5/15

Y1 - 2015/5/15

N2 - Crowdsensing can provide real time and detailed information about rapidly evolving crisis situations to facilitate rapid response and effective resource allocation. But while challenges such as heterogeneity of data content and quality, asynchronicity, and volume call for robust data integration and interpretation capabilities, situation awareness in crowdsensing for crisis management remains a largely unexplored area of research. In this paper we extend the mobile4D smartphone-based disaster reporting and alerting system with a situation awareness data interpretation and integration layer and demonstrate its application to the problem of tracking cholera outbreaks. The communication workflow in mobile4D-SA supports interaction between crowdsensed information, system predictions, and multifaceted communication between authorities and affected people on the ground.

AB - Crowdsensing can provide real time and detailed information about rapidly evolving crisis situations to facilitate rapid response and effective resource allocation. But while challenges such as heterogeneity of data content and quality, asynchronicity, and volume call for robust data integration and interpretation capabilities, situation awareness in crowdsensing for crisis management remains a largely unexplored area of research. In this paper we extend the mobile4D smartphone-based disaster reporting and alerting system with a situation awareness data interpretation and integration layer and demonstrate its application to the problem of tracking cholera outbreaks. The communication workflow in mobile4D-SA supports interaction between crowdsensed information, system predictions, and multifaceted communication between authorities and affected people on the ground.

KW - Bayesian Networks

KW - Crowdsourcing

KW - Disease Surveillance

KW - Hidden Markov Models

KW - Situation Awareness

UR - https://www.scopus.com/pages/publications/84955306588

U2 - 10.1145/2737856.2737879

DO - 10.1145/2737856.2737879

M3 - Conference contribution

AN - SCOPUS:84955306588

T3 - ACM International Conference Proceeding Series

BT - Proceedings of the 7th International Conference on Information and Communication Technologies and Development, ICTD 2015

PB - Association for Computing Machinery

T2 - 7th International Conference on Information and Communication Technologies and Development, ICTD 2015

Y2 - 15 May 2015 through 18 May 2015

ER -

Haddawy P, De Felice G, Frommberger L, Charkratpahu P, Saengpao S, Kanchanakitsakul P et al. Situation Awareness in Crowdsensing for Disease Surveillance in Crisis Situations. In Proceedings of the 7th International Conference on Information and Communication Technologies and Development, ICTD 2015. Association for Computing Machinery. 2015. 38. (ACM International Conference Proceeding Series). doi: 10.1145/2737856.2737879

Situation Awareness in Crowdsensing for Disease Surveillance in Crisis Situations

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this