Sexual behaviour in Britain: partnerships, practices, and HIV risk behaviours.

By A. Johnson, Catherine H. Mercer, B. Erens, A. Copas, S. McManus, K. Wellings, Kevin A. Fenton, C. Korovessis, W. Macdowall, K. Nanchahal and 2 more. The Lancet, 2001

910 citations recorded by the source corpus.

Subfields: General Health Professions, Infectious Diseases, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/7505c54b7813709c79a7e596e0cc592f4c70b5fc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In General Health Professions

1. E. Anderson

In Infectious Diseases

1. Nicholas C. Grassly
2. M. Keeling
3. Christophe Fraser

In Sociology and Political Science

1. M. Keeling
2. E. Anderson
3. M. McCormack
4. George B. Cunningham
5. K. Shinew
6. Sally R. Ross

Citations in the corpus

• State-transition modeling: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force--3. (2012, background): “Surveys of sexual behavior are also available for some populations although estimates may be biased by social desirability effects and by failure to capture highly influential core groups [55] .”
• “Being Masculine is not About who you Sleep with...:” Heterosexual Athletes Contesting Masculinity and the One-time Rule of Homosexuality (2008, background): “This is made evident by the lessening of the traditional double standard of girls being “sluts” and guys being “studs” in heterosexual intercourse (Tanenbaum 1999; Wolf 1997) and the growing percentage of those engaging in pre-marital intercourse (Laumann et al. 1994; Johnson et al. 2001).”
• Mathematical models of infectious disease transmission (2008, background): “For the intimate contacts that are required for the transmission of sexually transmitted infections, the frequencies of contact are highly dispersed, such that a few individuals have multiple contacts whereas most have few 6 .”
• Networks and the Epidemiology of Infectious Disease (2010, background): “However, in the vast majority of modelling studies, the egocentric data have simply been used to construct WAIFW (who-acquiresinfection-from-whom) matrices [15, 17, 21] that inform about the relative levels of transmission between different groups (e.”