TY - GEN
T1 - A dengue location-contraction risk calculation method for analyzing disease-spread
AU - Sesulihatien, Wahjoe T.
AU - Kiyoki, Yasushi
N1 - Publisher Copyright:
© 2014 The authors and IOS Press. All rights reserved.
PY - 2014
Y1 - 2014
N2 - Dengue fever is the fastest spreading communicable disease in the world. The virus has been increasing its geographic reach, partly due to increased urbanization and partly due to climate change. From the viewpoint of human movement, population density the most suspected factor in spreading, but some results nowadays show that the relationship between population density and dengue fever is unclear. This paper presents a new approach in measuring human involvement by modelling contagious places. The proposed system includes (1) statistical analysis about correlations between contagious places and Dengue fever cases, (2) a multi-layer weighting method for determining the weight of each cell (3) a ranking and classification method for places' human-mingling, and (4) building a risk-map of contagious places as a control method in Dengue spreading. The result is new dimension to measure vulnerability of land use concerning with pattern of human moving. Our new approach is advantageous for effecting monitoring in change of public facilities, in comparison to the approach based on the population density, It is more useful in urban planning due to priority in evacuation, and control dengue based on places that attract people.
AB - Dengue fever is the fastest spreading communicable disease in the world. The virus has been increasing its geographic reach, partly due to increased urbanization and partly due to climate change. From the viewpoint of human movement, population density the most suspected factor in spreading, but some results nowadays show that the relationship between population density and dengue fever is unclear. This paper presents a new approach in measuring human involvement by modelling contagious places. The proposed system includes (1) statistical analysis about correlations between contagious places and Dengue fever cases, (2) a multi-layer weighting method for determining the weight of each cell (3) a ranking and classification method for places' human-mingling, and (4) building a risk-map of contagious places as a control method in Dengue spreading. The result is new dimension to measure vulnerability of land use concerning with pattern of human moving. Our new approach is advantageous for effecting monitoring in change of public facilities, in comparison to the approach based on the population density, It is more useful in urban planning due to priority in evacuation, and control dengue based on places that attract people.
KW - Dengue
KW - contagious place
KW - population density
KW - risk control
KW - weighting method
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U2 - 10.3233/978-1-61499-472-5-396
DO - 10.3233/978-1-61499-472-5-396
M3 - Conference contribution
AN - SCOPUS:84922570841
T3 - Frontiers in Artificial Intelligence and Applications
SP - 396
EP - 407
BT - Information Modelling and Knowledge Bases XXVI
A2 - Thalheim, Bernhard
A2 - Jaakkola, Hannu
A2 - Yoshida, Naofumi
A2 - Kiyoki, Yasushi
PB - IOS Press
T2 - 24th International Conference on Information Modelling and Knowledge Bases, EJC 2014
Y2 - 3 June 2014 through 6 June 2014
ER -