Literature DB >> 3351391

Epidemiological models for sexually transmitted diseases.

K Dietz1, K P Hadeler.   

Abstract

The classical models for sexually transmitted infections assume homogeneous mixing either between all males and females or between certain subgroups of males and females with heterogeneous contact rates. This implies that everybody is all the time at risk of acquiring an infection. These models ignore the fact that the formation of a pair of two susceptibles renders them in a sense temporarily immune to infection as long as the partners do not separate and have no contacts with other partners. The present paper takes into account the phenomenon of pair formation by introducing explicitly a pairing rate and a separation rate. The infection transmission dynamics depends on the contact rate within a pair and the duration of a partnership. It turns out that endemic equilibria can only exist if the separation rate is sufficiently large in order to ensure the necessary number of sexual partners. The classical models are recovered if one lets the separation rate tend to infinity.

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Year:  1988        PMID: 3351391     DOI: 10.1007/bf00280169

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  6 in total

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Authors:  T A Peterman; R L Stoneburner; J R Allen; H W Jaffe; J W Curran
Journal:  JAMA       Date:  1988-01-01       Impact factor: 56.272

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Journal:  Eur J Epidemiol       Date:  1986-09       Impact factor: 8.082

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Authors:  H W Hethcote; D W Tudor
Journal:  J Math Biol       Date:  1980-03       Impact factor: 2.259

4.  [Deliberations and computer computations on the epidemiology of the acquired immunodeficiency syndrome in the Federal Republic of Germany].

Authors:  D Kiessling; S Stannat; I Schedel; H Deicher
Journal:  Infection       Date:  1986 Sep-Oct       Impact factor: 3.553

5.  Introduction to the modelling of venereal disease.

Authors:  N T Bailey
Journal:  J Math Biol       Date:  1979-10       Impact factor: 2.259

6.  A preliminary study of the transmission dynamics of the human immunodeficiency virus (HIV), the causative agent of AIDS.

Authors:  R M Anderson; G F Medley; R M May; A M Johnson
Journal:  IMA J Math Appl Med Biol       Date:  1986
  6 in total
  43 in total

1.  Global survey of genetic variation in CCR5, RANTES, and MIP-1alpha: impact on the epidemiology of the HIV-1 pandemic.

Authors:  E Gonzalez; R Dhanda; M Bamshad; S Mummidi; R Geevarghese; G Catano; S A Anderson; E A Walter; K T Stephan; M F Hammer; A Mangano; L Sen; R A Clark; S S Ahuja; M J Dolan; S K Ahuja
Journal:  Proc Natl Acad Sci U S A       Date:  2001-04-24       Impact factor: 11.205

2.  Individual causal models and population system models in epidemiology.

Authors:  J S Koopman; J W Lynch
Journal:  Am J Public Health       Date:  1999-08       Impact factor: 9.308

3.  Heterosexual HIV transmission and STD prevalence: predictions of a theoretical model.

Authors:  A M Renton; L Whitaker; M Riddlesdell
Journal:  Sex Transm Infect       Date:  1998-10       Impact factor: 3.519

4.  The effects of local spatial structure on epidemiological invasions.

Authors:  M J Keeling
Journal:  Proc Biol Sci       Date:  1999-04-22       Impact factor: 5.349

5.  Modeling dynamic and network heterogeneities in the spread of sexually transmitted diseases.

Authors:  Ken T D Eames; Matt J Keeling
Journal:  Proc Natl Acad Sci U S A       Date:  2002-09-23       Impact factor: 11.205

6.  Frequency-dependent incidence in models of sexually transmitted diseases: portrayal of pair-based transmission and effects of illness on contact behaviour.

Authors:  James O Lloyd-Smith; Wayne M Getz; Hans V Westerhoff
Journal:  Proc Biol Sci       Date:  2004-03-22       Impact factor: 5.349

7.  Influence of network dynamics on the spread of sexually transmitted diseases.

Authors:  Sebastián Risau-Gusman
Journal:  J R Soc Interface       Date:  2011-11-23       Impact factor: 4.118

Review 8.  Networks and epidemic models.

Authors:  Matt J Keeling; Ken T D Eames
Journal:  J R Soc Interface       Date:  2005-09-22       Impact factor: 4.118

9.  Mathematical models for HIV transmission dynamics: tools for social and behavioral science research.

Authors:  Susan Cassels; Samuel J Clark; Martina Morris
Journal:  J Acquir Immune Defic Syndr       Date:  2008-03-01       Impact factor: 3.731

10.  Patterns in the effects of infectious diseases on population growth.

Authors:  O Diekmann; M Kretzschmar
Journal:  J Math Biol       Date:  1991       Impact factor: 2.259

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