Literature DB >> 16135937

When to control endemic infections by focusing on high-risk groups.

James S Koopman1, Carl P Simon, Chris P Riolo.   

Abstract

BACKGROUND: For nontransmissible diseases, decisions between interventions focused on high-risk groups and unfocused interventions can be based on attributable-risk calculations. The assumptions of those calculations, however, are violated for infectious diseases.
METHODS: We used deterministic compartmental models of infection transmission having both high- and low-risk groups and both susceptible and infected states to examine intervention effects on endemic infection levels. High risk is generated by increased susceptibility or contagiousness-factors that can be reduced by interventions. Population effects of focused and unfocused interventions are compared at settings where these would be equal if there were no transmission.
RESULTS: In the most likely range of mixing between high- and low-risk groups, focused interventions have considerably larger effects than unfocused interventions. At all mixing levels, both interventions have greater effects on infectious than noninfectious diseases because a change in risk factor for one individual alters risk in others. Interventions on contagiousness in high-risk groups have greater effects than comparable interventions on susceptibility.
CONCLUSIONS: Risk assessment for infectious disease requires analysis of the population system that is circulating the infection. Vaccine trials on individuals will miss important effects that trials on transmission units will detect. Focusing HIV control on contagiousness factors in high-risk groups will be especially productive.

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Year:  2005        PMID: 16135937     DOI: 10.1097/01.ede.0000172133.46385.18

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.822


  12 in total

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2.  Episodic HIV Risk Behavior Can Greatly Amplify HIV Prevalence and the Fraction of Transmissions from Acute HIV Infection.

Authors:  Xinyu Zhang; Lin Zhong; Ethan Romero-Severson; Shah Jamal Alam; Christopher J Henry; Erik M Volz; James S Koopman
Journal:  Stat Commun Infect Dis       Date:  2012-11-01

3.  Detectable signals of episodic risk effects on acute HIV transmission: strategies for analyzing transmission systems using genetic data.

Authors:  Shah Jamal Alam; Xinyu Zhang; Ethan Obie Romero-Severson; Christopher Henry; Lin Zhong; Erik M Volz; Bluma G Brenner; James S Koopman
Journal:  Epidemics       Date:  2012-11-23       Impact factor: 4.396

4.  Risk Bases in Childhood and Adolescence among HIV-negative Young Adult Gay and Bisexual Male Barebackers.

Authors:  Perry N Halkitis; Daniel Siconolfi; Megan Fumerton; Kristin Barlup
Journal:  J Gay Lesbian Soc Serv       Date:  2008-10-01

5.  HIV, stigma, and rates of infection: a rumour without evidence.

Authors:  Daniel D Reidpath; Kit Yee Chan
Journal:  PLoS Med       Date:  2006-10       Impact factor: 11.069

6.  Proof of concept of a method that assesses the spread of microbial infections with spatially explicit and non-spatially explicit data.

Authors:  Ariel L Rivas; Kevin L Anderson; Roberta Lyman; Stephen D Smith; Steven J Schwager
Journal:  Int J Health Geogr       Date:  2008-11-18       Impact factor: 3.918

7.  Spatial and temporal variation and hotspot detection of kala-azar disease in Vaishali district (Bihar), India.

Authors:  Gouri Sankar Bhunia; Shreekant Kesari; Nandini Chatterjee; Vijay Kumar; Pradeep Das
Journal:  BMC Infect Dis       Date:  2013-02-02       Impact factor: 3.090

8.  Reviewing PrEP's Effect on STI Incidence Among Men Who Have sex with Men-Balancing Increased STI Screening and Potential Behavioral Sexual Risk Compensation.

Authors:  Sagar Kumar; Laura T Haderxhanaj; Ian H Spicknall
Journal:  AIDS Behav       Date:  2020-11-26

9.  Relative risk of visceral leishmaniasis in Brazil: a spatial analysis in urban area.

Authors:  Valdelaine Etelvina Miranda de Araújo; Letícia Cavalari Pinheiro; Maria Cristina de Mattos Almeida; Fernanda Carvalho de Menezes; Maria Helena Franco Morais; Ilka Afonso Reis; Renato Martins Assunção; Mariângela Carneiro
Journal:  PLoS Negl Trop Dis       Date:  2013-11-07

10.  Prediction of high-risk areas for visceral leishmaniasis using socioeconomic indicators and remote sensing data.

Authors:  Andréa S Almeida; Guilherme L Werneck
Journal:  Int J Health Geogr       Date:  2014-05-20       Impact factor: 3.918

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