Markov cellular automata models for chronic disease progression
2015 ◽
Vol 08
(06)
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pp. 1550085
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Keyword(s):
We analyze a Markov cellular automaton that models the spread of viruses that often progress to a chronic condition, such as human immunodeficiency virus (HIV) or hepatitis C virus (HCV). We show that the complex dynamical system produces a Markov process at the later stages, whose eigenvectors corresponding to the eigenvalue 1 have physical significance for the long-term prognosis of the virus. Moreover we show that drug treatment leads to chronic conditions that can be modeled by Markov shifts with more optimal eigenvectors.
2004 ◽
Vol 158
(10)
◽
pp. 1007
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2007 ◽
Vol 26
(11)
◽
pp. 1061-1064
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2018 ◽
Vol 33
(7)
◽
pp. S86-S92.e1
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1999 ◽
Vol 179
(6)
◽
pp. 1549-1552
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Keyword(s):
1997 ◽
Vol 133
(1)
◽
pp. 107-108
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