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Stochastic epidemics in growing populations.
Britton, Tom; Trapman, Pieter.
Affiliation
  • Britton T; Department of Mathematics, Stockholm University, 106 91, Stockholm, Sweden, tom.britton@math.su.se.
Bull Math Biol ; 76(5): 985-96, 2014 May.
Article in En | MEDLINE | ID: mdl-24619809
Consider a uniformly mixing population which grows as a super-critical linear birth and death process. At some time an infectious disease (of SIR or SEIR type) is introduced by one individual being infected from outside. It is shown that three different scenarios may occur: (i) an epidemic never takes off, (ii) an epidemic gets going and grows but at a slower rate than the community thus still being negligible in terms of population fractions, or (iii) an epidemic takes off and grows quicker than the community eventually leading to an endemic equilibrium. Depending on the parameter values, either scenario (i) is the only possibility, both scenarios (i) and (ii) are possible, or scenarios (i) and (iii) are possible.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Communicable Diseases / Population Growth / Models, Immunological / Epidemics Type of study: Health_economic_evaluation Limits: Humans Language: En Journal: Bull Math Biol Year: 2014 Document type: Article Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Communicable Diseases / Population Growth / Models, Immunological / Epidemics Type of study: Health_economic_evaluation Limits: Humans Language: En Journal: Bull Math Biol Year: 2014 Document type: Article Country of publication: United States