Literature DB >> 24619809

Stochastic epidemics in growing populations.

Tom Britton1, Pieter Trapman.   

Abstract

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.

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Year:  2014        PMID: 24619809      PMCID: PMC4013451          DOI: 10.1007/s11538-014-9942-x

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  3 in total

1.  Global dynamics of a SEIR model with varying total population size.

Authors:  M Y Li; J R Graef; L Wang; J Karsai
Journal:  Math Biosci       Date:  1999-09       Impact factor: 2.144

2.  Epidemic and demographic interaction in the spread of potentially fatal diseases in growing populations.

Authors:  H R Thieme
Journal:  Math Biosci       Date:  1992-09       Impact factor: 2.144

3.  Linking population-level models with growing networks: a class of epidemic models.

Authors:  Romulus Breban; Raffaele Vardavas; Sally Blower
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2005-10-11
  3 in total
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1.  Forward reachable sets: Analytically derived properties of connected components for dynamic networks.

Authors:  Benjamin Armbruster; L I Wang; Martina Morris
Journal:  Netw Sci (Camb Univ Press)       Date:  2017-06-29

2.  Five challenges for stochastic epidemic models involving global transmission.

Authors:  Tom Britton; Thomas House; Alun L Lloyd; Denis Mollison; Steven Riley; Pieter Trapman
Journal:  Epidemics       Date:  2014-06-05       Impact factor: 4.396

  2 in total

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