Sexual mixing in opposite-sex partnerships in Britain and its implications for STI risk: findings from the third National Survey of Sexual Attitudes and Lifestyles (Natsal-3)
Author:
Affiliation:
1. Institute for Global Health, University College London, London, UK
Funder
Medical Research Council
Wellcome Trust
Economic and Social Research Council and Department of Health
Publisher
Oxford University Press (OUP)
Subject
General Medicine,Epidemiology
Link
http://academic.oup.com/ije/article-pdf/48/1/228/27884714/dyy237.pdf
Reference45 articles.
1. Prevalence, risk factors, and uptake of interventions for sexually transmitted infections in Britain: findings from the National Surveys of Sexual Attitudes and Lifestyles (Natsal);Sonnenberg;Lancet,2013
2. Reported sexually transmitted disease clinic attendance and sexually transmitted infections in britain: prevalence, risk factors, and proportionate population burden;Fenton;J Infect Dis,2005
3. Social context, sexual networks, and racial disparities in rates of sexually transmitted infections;Adimora;J Infect Dis,2005
4. ‘Bridge population’: sex workers or their clients?—STI prevalence and risk behaviors of clients of female sex workers in China;Huang;AIDS Care,2011
5. Identifying the HIV transmission bridge: which men are having unsafe sex with female sex workers and with their own wives or steady partners?;Patterson;J Acquir Immune Defic Syndr,2012
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1. Who accessed STI testing in Britain during the COVID-19 pandemic and how: Findings from Natsal-COVID, a cross-sectional quasi-representative survey;International Journal of STD & AIDS;2024-09-11
2. Sexual mixing in bisexual activity in male–male partnerships in Melbourne, Australia;Sexual Health;2024-08-29
3. Assortative Sexual Mixing by Age, Region of Birth, and Time of Arrival in Male-Female Partnerships in Melbourne, Australia;Sexually Transmitted Diseases;2023-01-13
4. Age-Based Mixing and Condom Use Patterns in Opposite-Sex Adult Partnerships in Hong Kong;Sexually Transmitted Diseases;2022-09-09
5. The impact of vaccination on human papillomavirus infection with disassortative geographical mixing: a two-patch modeling study;Journal of Mathematical Biology;2022-04-28
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