Capturing sexual contact patterns in modelling the spread of sexually transmitted infections: Evidence using Natsal-3

• Published in: PloS one Vol. 13; no. 11; p. e0206501
• Main Authors: Datta, Samik, Mercer, Catherine H, Keeling, Matt J
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 01.11.2018; Public Library of Science (PLoS)
• Subjects: Acquired immune deficiency syndrome; AIDS; Attitude to Health; Biobehavioral Sciences; Biology and Life Sciences; Chlamydia; Contact Tracing - methods; Demographics; Demography; Epidemics; Female; Gays & lesbians; Health Risk Behaviors; HIV; Human immunodeficiency virus; Human papillomavirus; Humans; Infections; Life Style; Male; Mathematical models; Medicine and Health Sciences; Mens health; Models, Theoretical; Monogamy; Partnerships; People and Places; Prediction models; Research and Analysis Methods; Sex; Sexual and Gender Minorities - statistics & numerical data; Sexual behavior; Sexual Behavior - physiology; Sexual Partners; Sexually transmitted diseases; Sexually Transmitted Diseases - epidemiology; Sexually Transmitted Diseases - transmission; Social Sciences; STD; Stochastic Processes; Surveys and Questionnaires; Unsafe Sex - statistics & numerical data; Vaccination; United Kingdom > UK; England

Understanding the spread of sexually transmitted infections (STIs) in a population is of great importance to the planning and delivery of health services globally. The worldwide rise of HIV since the 1980's, and the recent increase in common STIs (including HPV and Chlamydia) in many countries,...