Evidence map›Paper›PMID 29848374›Full record

ArticleTheoretical biology & medical modelling2018

Modelling the impact of correlations between condom use and sexual contact pattern on the dynamics of sexually transmitted infections.

Nao Yamamoto, Keisuke Ejima, Hiroshi Nishiura

Open access · hybridAbstract read
In one paragraph

Article in Theoretical biology & medical modelling, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
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

15 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Predictors of Condom Use among College Students.International journal of environmental research and public health · 2024
    Article
  3. DépistaFest: The evaluation of an inclusive, positive, and playful STBBI screening campaign's effectiveness.Canadian journal of public health = Revue canadienne de sante publique · 2024
    Article
  4. Infectious Disease Modelling · 2024
    Review
  5. Article
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  11. Article
  12. Evolving patterns of reactive arthritis.Clinical rheumatology · 2019
    Article
  13. Article
  14. Article
  15. Article
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

3 authors at 3 institutions in 2 countries.

Nao YamamotoGraduate School of Medicine, Hokkaido University, Hokkaido, Japan.
Keisuke EjimaInstitute of Industrial Science, The University of Tokyo, Tokyo, Japan.
Hiroshi NishiuraGraduate School of Medicine, Hokkaido University, Hokkaido, Japan. nishiurah@med.hokudai.ac.jp.ORCID 0000-0003-0941-8537
Hokkaido Information University · JPHokkaido University · JPIndiana University Bloomington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is believed that sexually active people, i.e. people having multiple or concurrent sexual partners, are at a high risk of sexually transmitted infections (STI), but they are likely to be more aware of the risk and may exhibit greater fraction of the use of condom. The purpose of the present study is to examine the correlation between condom use and sexual contact pattern and clarify its impact on the transmission dynamics of STIs using a mathematical model.

methodsThe definition of sexual contact pattern can be broad, but we focus on two specific aspects: (i) type of partnership (i.e. steady or casual partnership) and (ii) existence of concurrency (i.e. with single or multiple partners). Systematic review and meta-analysis of published studies are performed, analysing literature that epidemiologically examined the relationship between condom use and sexual contact pattern. Subsequently, we employ an epidemiological model and compute the reproduction number that accounts for with and without concurrency so that the corresponding coverage of condom use and its correlation with existence of concurrency can be explicitly investigated using the mathematical model. Combining the model with parameters estimated from the meta-analysis along with other assumed parameters, the impact of varying the proportion of population with multiple partners on the reproduction number is examined.

resultsBased on systematic review, we show that a greater number of people used condoms during sexual contact with casual partners than with steady partners. Furthermore, people with multiple partners use condoms more frequently than people with a single partner alone. Our mathematical model revealed a positive relationship between the effective reproduction number and the proportion of people with multiple partners. Nevertheless, the association was reversed to be negative by employing a slightly greater value of the relative risk of condom use for people with multiple partners than that empirically estimated.

conclusionsDepending on the correlation between condom use and the existence of concurrency, association between the proportion of people with multiple partners and the reproduction number can be reversed, suggesting the sexually active population is not necessary a primary target population to encourage condom use (i.e., sexually less active individuals could equivalently be a target in some cases).

Indexed as

Models, TheoreticalCondomsFemaleHumansMaleModels, PsychologicalSexual BehaviorSexually Transmitted DiseasesSexual PartnersChlamydiaCondomGonorrhoeaHIVPartnershipUnprotected sex

Identifiers

PMID29848374
PMCPMC5977462
OpenAlexW2807115902

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.