Evidence map›Paper›PMID 23638243›Full record

ArticleStatistical communications in infectious diseases2012

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

Ethan O Romero-Severson, Shah Jamal Alam, Erik M Volz, James S Koopman

Abstract read
In one paragraph

Article in Statistical communications in infectious diseases, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Panel Data Analysis via Mechanistic Models.Journal of the American Statistical Association · 2019
    Article
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  6. Article
  7. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ethan O Romero-SeversonUniversity of Michigan, Ann Arbor.
Shah Jamal Alam
Erik M Volz
James S Koopman

Funding

HIV Risk Dynamics, Genetic Patterns, and ControlR01AI078752 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KOOPMAN, JAMES STEPHEN · 2008 to 2012
$2.7M
Estimation of HIV Transmission Dynamics Using Genetic Sequences of VirusK01AI091440 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI VOLZ, ERIK MCCULLOUGH · 2010 to 2013
$521k
NIAID NIH HHS K01 AI091440NIAID NIH HHS R01 AI078752
6 · The paper itself

Abstract

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.

Indexed as

behaviorcontact ratesHIV

Identifiers

PMID23638243
PMCPMC3639013

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.