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Stochastic Epidemics as Point Processes
1985This article deals with modeling an epidemic by utilizing the information of the times of occurrences and removals of the infectives, through a bivariate counting process. This approach incorporates the epidemic features into the model more flexibly than the Markov chain approach. It also provides a convenient framework for statistical analysis.
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Complete observation of the epidemic process
2000In this chapter we assume that the standard SIR epidemic process E n,m (λ, I) is observed completely. By complete observation is meant that the infection times τ i and removal times ρ i (hence also the length of the infectious period I i =ρi-τi for formulas to be consistent.
Håkan Andersson, Tom Britton
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Epidemiology of HIV in the USA: epidemic burden, inequities, contexts, and responses
Lancet, The, 2021Patrick Sean Sullivan +2 more
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Obesity and economic environments
Ca-A Cancer Journal for Clinicians, 2014Roland Sturm, Ruopeng An
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