An SIS/. SAS model of gonorrhea transmission in a population of highly active men-having-sex-with-men (MSM) is presented in this paper to study the impact of safe behavior on the dynamics of gonorrhea prevalence. Safe behaviors may fall into two categories-prevention and self-awareness. Prevention will be modeled via consistent condom use and self-awareness via STD testing frequency. Stability conditions for the disease free equilibrium and endemic equilibrium are determined along with a complete analysis of global dynamics. The control reproductive number is used as a means for measuring the effect of changes to model parameters on the prevalence of the disease. We also find that appropriate intervention would be in the form of a multifaceted approach at overall risk reduction rather than tackling one specific control individually. Â\copyright 2010 Elsevier Ltd.
Morin, B.R.; School of Human Evolution and Social Change, SHESC 233, P.O. Box 872402, Tempe, AZ 85287-2402, United States; email: brmorin@asu.edu
affiliation
School of Human Evolution and Social Change, SHESC 233, P.O. Box 872402, Tempe, AZ 85287-2402, United States; Department of Mathematics and Statistics, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, United States; Division of Mathematical and Natural Sciences, Arizona State University, 4701 W. Thunderbird Rd, Glendale, AZ 85306, United States
%0 Journal Article
%1 Morin201035
%A Morin, B.R.
%A Medina-Rios, L.
%A Camacho, E.T.
%A Castillo-Chavez, C.
%D 2010
%J Journal of Theoretical Biology
%K Gonorrhea; Homosexuality, Humans; Male; Models, Prevalence; Safe Sex Theoretical; article; awareness; bacterial behavior change; computer condom condom; control; controlled disease disease, education; endemism; epidemiology; gonorrhea; health health; high homosexual; homosexuality; infection journal; male mathematical model; nonhuman; numerical parameterization; population population; prevalence; priority rate; reduction; risk safe sex; sexual sexually simulation; size; study; transmission, transmission; transmitted use;
%N 1
%P 35-40
%R http://dx.doi.org/10.1016/j.jtbi.2010.07.027
%T Static behavioral effects on gonorrhea transmission dynamics in a MSM population
%U http://dx.doi.org/10.1016/j.jtbi.2010.07.027
%V 267
%X An SIS/. SAS model of gonorrhea transmission in a population of highly active men-having-sex-with-men (MSM) is presented in this paper to study the impact of safe behavior on the dynamics of gonorrhea prevalence. Safe behaviors may fall into two categories-prevention and self-awareness. Prevention will be modeled via consistent condom use and self-awareness via STD testing frequency. Stability conditions for the disease free equilibrium and endemic equilibrium are determined along with a complete analysis of global dynamics. The control reproductive number is used as a means for measuring the effect of changes to model parameters on the prevalence of the disease. We also find that appropriate intervention would be in the form of a multifaceted approach at overall risk reduction rather than tackling one specific control individually. Â\copyright 2010 Elsevier Ltd.
@article{Morin201035,
abstract = {An SIS/. SAS model of gonorrhea transmission in a population of highly active men-having-sex-with-men (MSM) is presented in this paper to study the impact of safe behavior on the dynamics of gonorrhea prevalence. Safe behaviors may fall into two categories-prevention and self-awareness. Prevention will be modeled via consistent condom use and self-awareness via STD testing frequency. Stability conditions for the disease free equilibrium and endemic equilibrium are determined along with a complete analysis of global dynamics. The control reproductive number is used as a means for measuring the effect of changes to model parameters on the prevalence of the disease. We also find that appropriate intervention would be in the form of a multifaceted approach at overall risk reduction rather than tackling one specific control individually. {\^A}{\copyright} 2010 Elsevier Ltd.},
added-at = {2017-11-10T22:48:29.000+0100},
affiliation = {School of Human Evolution and Social Change, SHESC 233, P.O. Box 872402, Tempe, AZ 85287-2402, United States; Department of Mathematics and Statistics, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, United States; Division of Mathematical and Natural Sciences, Arizona State University, 4701 W. Thunderbird Rd, Glendale, AZ 85306, United States},
author = {Morin, B.R. and Medina-Rios, L. and Camacho, E.T. and Castillo-Chavez, C.},
author_keywords = {Gonorrhea; Mathematical epidemiology},
biburl = {https://www.bibsonomy.org/bibtex/2ccfa39e6f3c928ca708af7c60f82ff12/ccchavez},
coden = {JTBIA},
correspondence_address1 = {Morin, B.R.; School of Human Evolution and Social Change, SHESC 233, P.O. Box 872402, Tempe, AZ 85287-2402, United States; email: brmorin@asu.edu},
date-added = {2017-11-10 21:45:26 +0000},
date-modified = {2017-11-10 21:45:26 +0000},
document_type = {Article},
doi = {http://dx.doi.org/10.1016/j.jtbi.2010.07.027},
interhash = {3cbdb176226b00728b42aac2ea73f5b8},
intrahash = {ccfa39e6f3c928ca708af7c60f82ff12},
issn = {00225193},
journal = {Journal of Theoretical Biology},
keywords = {Gonorrhea; Homosexuality, Humans; Male; Models, Prevalence; Safe Sex Theoretical; article; awareness; bacterial behavior change; computer condom condom; control; controlled disease disease, education; endemism; epidemiology; gonorrhea; health health; high homosexual; homosexuality; infection journal; male mathematical model; nonhuman; numerical parameterization; population population; prevalence; priority rate; reduction; risk safe sex; sexual sexually simulation; size; study; transmission, transmission; transmitted use;},
language = {English},
number = 1,
pages = {35-40},
pubmed_id = {20670632},
timestamp = {2017-11-10T22:48:29.000+0100},
title = {Static behavioral effects on gonorrhea transmission dynamics in a MSM population},
url = {http://dx.doi.org/10.1016/j.jtbi.2010.07.027},
volume = 267,
year = 2010
}