Estimated HIV Incidence, Prevalence, and Mortality Rates Among Racial/Ethnic Populations of Men Who Have Sex with Men, Florida

Lieb, Spencer; White, Stefanie; Grigg, Becky; Thompson, Denisse R.; Liberti, Thomas M.; Fallon, Stephen J

doi:10.1097/qai.0b013e3181d0c165

Cited by 13 publications

(8 citation statements)

References 32 publications

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“…The size of the at-risk MSM population is unknown although this estimate is reasonable. The estimated incidence rate is also consistent with incidence rates reported in the state of Florida in 2010 (Lieb, White, Grigg, Thompson, Liberti, and Fallon (2010)). The consistency of the incidence rate estimate with other reported incidence rates and the reasonable estimate of the at-risk population size given the calculated incidence in 1992 suggest that the behavioral data do not have an inordinate number of higher or lower risk individuals that would be expected from a random sample.…”

Section: Resultssupporting

confidence: 86%

Heterogeneity in Number and Type of Sexual Contacts in a Gay Urban Cohort

Romero-Severson

Alam²,

Volz³

et al. 2012

Statistical Communications in Infectious Diseases

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HIV transmission models include heterogeneous individuals with different sexual behaviors including contact rates, mixing patterns, and sexual practices. However, heterogeneity can also exist within individuals over time. In this paper we analyze a two year prospective cohort of 882 gay men with observations at six month intervals focusing on heterogeneity both within and between individuals in sexual contact rates and sexual roles. The total number of sexual contacts made over the course of the study (mean 1.55 per month) are highly variable between individuals (standard deviation 9.82 per month) as expected. At the individual level, contacts were also heterogeneous over time. For a homogeneous count process the variance should scale with the mean; however, at the individual level the variance scaled with the square root of the mean implying the presence of heterogeneity within individuals over time. We also observed a high level of movement between dichotomous sexual roles (insertive/receptive, protected/unprotected, anal/oral, and HIV status of partners). On average periods of exclusively unprotected sexual contacted lasted 16 months. Our results suggest that future HIV models should consider heterogeneities both between and within individuals in sexual contact rates and sexual roles.

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Section: Resultssupporting

confidence: 86%

Heterogeneity in Number and Type of Sexual Contacts in a Gay Urban Cohort

Romero-Severson

Alam²,

Volz³

et al. 2012

Statistical Communications in Infectious Diseases

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show abstract

“…These public health activities would be enhanced when the MSM numbers are used as denominators to compute population-based HIV incidence, prevalence, and mortality rate estimates among MSM, as has been recently done in our study of MSM in Florida. 24 That study quantified marked racial/ethnic disparities in the impact of HIV on our previously established statewide MSM populations, according to each of these three measures.…”

Section: Discussionmentioning

confidence: 99%

Statewide Estimation of Racial/Ethnic Populations of Men Who Have Sex with Men in the U.S.

Lieb

Fallon²,

Friedman

et al. 2011

Public Health Rep

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Plausible estimates of MSM populations by state and race/ethnicity can inform and guide HIV/AIDS surveillance, allocation of resources, and advocacy. They can help in the planning, implementation, and evaluation of HIV prevention programs and other services. Using MSM numbers as denominators, estimates of population-based MSM HIV incidence, prevalence, and mortality rates could help clarify national and state-level epidemic dynamics. Until corroborated by other modeling and/or empirical research, these estimates should be used with caution.

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“…This will estimate the burden of HIV infection among MSM, and how this has varied over time when both the numerator (HIV prevalence pool) and denominator (MSM population) values have been changing. The use of routine HIV surveillance systems to generate population-based data on the HIV prevalence pool and HIV prevalence among MSM has been reported for some jurisdictions previously; 12–15 however, this is the first to provide annual estimates of both of these indicators for a country over the first 25 years of monitoring the HIV epidemic.…”

Section: Introductionmentioning

confidence: 99%

HIV prevalence among men who have sex with men in New Zealand 1985–2009: 25 years of public health monitoring

et al. 2012

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Annual population-based estimates of the number of men who have sex with men (MSM) with diagnosed HIV infection (HIV prevalence pool), and the proportion of all MSM this represents (HIV prevalence), have been insufficiently described over the long term. We investigated the dynamic effects of ongoing HIV diagnoses, lower mortality due to treatment and growth in the MSM population over time on these two epidemic indicators using national HIV/AIDS surveillance data in New Zealand, 1985-2009. The diagnosed HIV prevalence pool rose 79% between 1989 and 1999, and 137% between 1999 and 2009. Estimates of diagnosed HIV prevalence as a proportion of MSM were 0.2% of MSM in 1985, and were between 1.5% and 5.0% of MSM by 2009. New Zealand continues to have a relatively low-prevalence HIV epidemic among MSM; however, the number of MSM living with diagnosed infection is growing rapidly 25 years after HIV testing was introduced.

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Estimated HIV Incidence, Prevalence, and Mortality Rates Among Racial/Ethnic Populations of Men Who Have Sex with Men, Florida

Abstract: The impact of HIV by each measure was greater on black and Hispanic MSM than on white MSM. Quantifying estimates of HIV incidence, HIV prevalence, and mortality rates among MSM with HIV informs HIV surveillance, prevention, treatment, resource allocation, and community mobilization.

Cited by 13 publications

References 32 publications

Heterogeneity in Number and Type of Sexual Contacts in a Gay Urban Cohort

Heterogeneity in Number and Type of Sexual Contacts in a Gay Urban Cohort

Statewide Estimation of Racial/Ethnic Populations of Men Who Have Sex with Men in the U.S.

HIV prevalence among men who have sex with men in New Zealand 1985–2009: 25 years of public health monitoring

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