Publication: Stochastic modeling and combined spatial pattern analysis of epidemic spreading
Issued Date
2011-03-01
Resource Type
ISSN
20103778
2010376X
2010376X
Other identifier(s)
2-s2.0-84871408193
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Mahidol University
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SCOPUS
Bibliographic Citation
World Academy of Science, Engineering and Technology. Vol.51, (2011), 1048-1055
Suggested Citation
S. Chadsuthi, W. Triampo, C. Modchang, P. Kanthang, D. Triampo, N. Nuttavut Stochastic modeling and combined spatial pattern analysis of epidemic spreading. World Academy of Science, Engineering and Technology. Vol.51, (2011), 1048-1055. Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/11903
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Title
Stochastic modeling and combined spatial pattern analysis of epidemic spreading
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Abstract
We present analysis of spatial patterns of generic disease spread simulated by a stochastic long-range correlation SIR model, where individuals can be infected at long distance in a power law distribution. We integrated various tools, namely perimeter, circularity, fractal dimension, and aggregation index to characterize and investigate spatial pattern formations. Our primary goal was to understand for a given model of interest which tool has an advantage over the other and to what extent. We found that perimeter and circularity give information only for a case of strong correlation- while the fractal dimension and aggregation index exhibit the growth rule of pattern formation, depending on the degree of the correlation exponent (β). The aggregation index method used as an alternative method to describe the degree of pathogenic ratio (α). This study may provide a useful approach to characterize and analyze the pattern formation of epidemic spreading.