Literature DB >> 20361822

Raves, clubs and ecstasy: the impact of peer pressure.

Baojun Song1, Melissa Castillo-Garsow, Karen R Rios-Soto, Marcin Mejran, Leilani Henso, Carlos Castillo-Chavez.   

Abstract

Ecstasy has gained popularity among young adults who frequent raves and nightclubs. The Drug Enforcement Administration reported a 500 percent increase in the use of ecstasy between 1993 and 1998. The number of ecstasy users kept growing until 2002, years after a national public education initiative against ecstasy use was launched. In this study, a system of differential equations is used to model the peer-driven dynamics of ecstasy use. It is found that backward bifurcations describe situations when sufficient peer pressure can cause an epidemic of ecstasy use. Furthermore, factors that have the greatest influence on ecstasy use as predicted by the model are highlighted. The effect of education is also explored, and the results of simulations are shown to illustrate some possible outcomes.

Entities:  

Year:  2006        PMID: 20361822     DOI: 10.3934/mbe.2006.3.249

Source DB:  PubMed          Journal:  Math Biosci Eng        ISSN: 1547-1063            Impact factor:   2.080


  4 in total

1.  Impact of Relative Residence Times in Highly Distinct Environments on the Distribution of Heavy Drinkers.

Authors:  Anuj Mubayi; Priscilla E Greenwood; Carlos Castillo-Chávez; Paul Gruenewald; Dennis M Gorman
Journal:  Socioecon Plann Sci       Date:  2010-03-01       Impact factor: 4.923

2.  A simple epidemiological model for populations in the wild with Allee effects and disease-modified fitness.

Authors:  Yun Kang; Carlos Castillo-Chavez
Journal:  Discrete Continuous Dyn Syst Ser B       Date:  2014-01       Impact factor: 1.327

3.  Mapping the spread of methamphetamine abuse in California from 1995 to 2008.

Authors:  Paul J Gruenewald; William R Ponicki; Lillian G Remer; Lance A Waller; Li Zhu; Dennis M Gorman
Journal:  Am J Public Health       Date:  2012-10-18       Impact factor: 9.308

4.  Dynamic model predicting overweight, obesity, and extreme obesity prevalence trends.

Authors:  Diana M Thomas; Marion Weedermann; Bernard F Fuemmeler; Corby K Martin; Nikhil V Dhurandhar; Carl Bredlau; Steven B Heymsfield; Eric Ravussin; Claude Bouchard
Journal:  Obesity (Silver Spring)       Date:  2013-09-18       Impact factor: 5.002

  4 in total

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