Literature DB >> 1804439

Modeling AIDS as a function of other sexually transmitted disease.

D A Kault1, L M Marsh.   

Abstract

The spread of AIDS, as with any sexually transmitted disease, will depend on the pattern of sexual activity. Both the proportion of the population who have high partner exchange rates and the extent to which that proportion interacts with the remainder of the population are likely to be important determinants of the AIDS epidemic. However, it does not seem likely that surveys could obtain sufficiently reliable information of this nature for use in an accurate model of the AIDS epidemic. On the other hand, such information is implicitly contained in the epidemiology of other sexually transmitted diseases (STDs). Therefore a method is suggested of calculating the parameters of a model of the AIDS epidemic by comparing it with the epidemiology of another STD. The result is a model that predicts the likelihood of infection by the AIDS virus as a function of time and an individual's history of STD. It is suggested that further work along these lines may lead to a quantitative approach to assessing the importance of various STDs as cofactors in the spread of AIDS.

Entities:  

Keywords:  Acquired Immunodeficiency Syndrome; Comparative Studies; Diseases; Hiv Infections; Infections; Methodological Studies; Models, Theoretical; Reproductive Tract Infections; Research Methodology; Sexually Transmitted Diseases; Studies; Viral Diseases; World

Mesh:

Year:  1991        PMID: 1804439     DOI: 10.1016/0025-5564(91)90088-z

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  2 in total

1.  The Preventive Control of Zoonotic Visceral Leishmaniasis: Efficacy and Economic Evaluation.

Authors:  Helio Junji Shimozako; Jianhong Wu; Eduardo Massad
Journal:  Comput Math Methods Med       Date:  2017-05-15       Impact factor: 2.238

2.  Mathematical modelling for Zoonotic Visceral Leishmaniasis dynamics: A new analysis considering updated parameters and notified human Brazilian data.

Authors:  Helio Junji Shimozako; Jianhong Wu; Eduardo Massad
Journal:  Infect Dis Model       Date:  2017-03-18
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.