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A multicriteria spatiotemporal system for influenza epidemic surveillance

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Standard

A multicriteria spatiotemporal system for influenza epidemic surveillance. / Younsi, Fatima-Zohra; Hamdadou, Djamila; Chakhar, Salem.

Technological Innovations in Knowledge Management and Decision Support. ed. / Nilanjan Dey. IGI Global Publishing, 2018. p. 176-202.

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Harvard

Younsi, F-Z, Hamdadou, D & Chakhar, S 2018, A multicriteria spatiotemporal system for influenza epidemic surveillance. in N Dey (ed.), Technological Innovations in Knowledge Management and Decision Support. IGI Global Publishing, pp. 176-202. https://doi.org/10.4018/978-1-5225-6164-4.ch008

APA

Younsi, F-Z., Hamdadou, D., & Chakhar, S. (2018). A multicriteria spatiotemporal system for influenza epidemic surveillance. In N. Dey (Ed.), Technological Innovations in Knowledge Management and Decision Support (pp. 176-202). IGI Global Publishing. https://doi.org/10.4018/978-1-5225-6164-4.ch008

Vancouver

Younsi F-Z, Hamdadou D, Chakhar S. A multicriteria spatiotemporal system for influenza epidemic surveillance. In Dey N, editor, Technological Innovations in Knowledge Management and Decision Support. IGI Global Publishing. 2018. p. 176-202 https://doi.org/10.4018/978-1-5225-6164-4.ch008

Author

Younsi, Fatima-Zohra ; Hamdadou, Djamila ; Chakhar, Salem. / A multicriteria spatiotemporal system for influenza epidemic surveillance. Technological Innovations in Knowledge Management and Decision Support. editor / Nilanjan Dey. IGI Global Publishing, 2018. pp. 176-202

Bibtex

@inbook{a2388026796641998698390de9e4e2d3,
title = "A multicriteria spatiotemporal system for influenza epidemic surveillance",
abstract = "Influenza has been a growing concern for the public health decision makers/policy makers. Indeed, they are in need of a real geo-making tool for monitoring and surveillance. The chapter aims to introduce a novel spatiotemporal decision system based on multicriteria ranking method, information geographic system (GIS), and SEIRSW system for public health. The later was designed, implemented, and validated in previous research for influenza risk assessment. The authors highlight the use of PROMETHEE II ranking method of multi-criteria decision analysis in GIS that incorporates various factors to monitor and identify potential high-risk areas of seasonal influenza and disease mapping. Factors related to the risk of seasonal influenza are obtained from simulation system and constitute the input values of PROMETHEE II ranking method for the 26 communes of the city of Oran, Algeria. The proposed system has demonstrated analytical capabilities in targeting high-risk spots and influenza surveillance monitoring system and it can help public health policy makers prioritize in their response goals and evaluate control strategies",
keywords = "GIS-MCDA integration, PROMETHEE II, Small World Network, Susceptible-Exposed-Infected- and Removed, Influenza epidemic ",
author = "Fatima-Zohra Younsi and Djamila Hamdadou and Salem Chakhar",
note = "Expected DOI: 10.4018/978-1-5225-6164-4",
year = "2018",
month = jul,
doi = "10.4018/978-1-5225-6164-4.ch008",
language = "English",
isbn = "978-1522561644",
pages = "176--202",
editor = "Nilanjan Dey",
booktitle = "Technological Innovations in Knowledge Management and Decision Support",
publisher = "IGI Global Publishing",
address = "United States",

}

RIS

TY - CHAP

T1 - A multicriteria spatiotemporal system for influenza epidemic surveillance

AU - Younsi, Fatima-Zohra

AU - Hamdadou, Djamila

AU - Chakhar, Salem

N1 - Expected DOI: 10.4018/978-1-5225-6164-4

PY - 2018/7

Y1 - 2018/7

N2 - Influenza has been a growing concern for the public health decision makers/policy makers. Indeed, they are in need of a real geo-making tool for monitoring and surveillance. The chapter aims to introduce a novel spatiotemporal decision system based on multicriteria ranking method, information geographic system (GIS), and SEIRSW system for public health. The later was designed, implemented, and validated in previous research for influenza risk assessment. The authors highlight the use of PROMETHEE II ranking method of multi-criteria decision analysis in GIS that incorporates various factors to monitor and identify potential high-risk areas of seasonal influenza and disease mapping. Factors related to the risk of seasonal influenza are obtained from simulation system and constitute the input values of PROMETHEE II ranking method for the 26 communes of the city of Oran, Algeria. The proposed system has demonstrated analytical capabilities in targeting high-risk spots and influenza surveillance monitoring system and it can help public health policy makers prioritize in their response goals and evaluate control strategies

AB - Influenza has been a growing concern for the public health decision makers/policy makers. Indeed, they are in need of a real geo-making tool for monitoring and surveillance. The chapter aims to introduce a novel spatiotemporal decision system based on multicriteria ranking method, information geographic system (GIS), and SEIRSW system for public health. The later was designed, implemented, and validated in previous research for influenza risk assessment. The authors highlight the use of PROMETHEE II ranking method of multi-criteria decision analysis in GIS that incorporates various factors to monitor and identify potential high-risk areas of seasonal influenza and disease mapping. Factors related to the risk of seasonal influenza are obtained from simulation system and constitute the input values of PROMETHEE II ranking method for the 26 communes of the city of Oran, Algeria. The proposed system has demonstrated analytical capabilities in targeting high-risk spots and influenza surveillance monitoring system and it can help public health policy makers prioritize in their response goals and evaluate control strategies

KW - GIS-MCDA integration

KW - PROMETHEE II

KW - Small World Network

KW - Susceptible-Exposed-Infected- and Removed

KW - Influenza epidemic

U2 - 10.4018/978-1-5225-6164-4.ch008

DO - 10.4018/978-1-5225-6164-4.ch008

M3 - Chapter (peer-reviewed)

SN - 978-1522561644

SP - 176

EP - 202

BT - Technological Innovations in Knowledge Management and Decision Support

A2 - Dey, Nilanjan

PB - IGI Global Publishing

ER -

ID: 10413198