title: Mathematical biology and medical statistics: contributions to the understanding of AIDS epidemiology.
abstract: Some of the many ways in which mathematical biology and statistics have been used in investigating the acquired immunodeficiency syndrome (AIDS) epidemic are reviewed. Aspects of the spread of the disease via social and sexual networks are discussed. The different kinds of data involved are critically compared. Some studies of the incubation period are briefly reviewed and some comments made on the role of adherence to therapy.
authors.affiliation: Department of Infectious Disease Epidemiology, Imperial College School of Medicine, St Mary's Campus, Norfolk Place, London W2 1PG, UK. c.donnelly@ic.ac.uk
authors.forename: C A
authors.initials: CA
authors.lastname: Donnelly
authors.forename: D R
authors.initials: DR
authors.lastname: Cox
mesh_terms: D000163:Acquired Immunodeficiency Syndrome / Q000453:epidemiology*; D023241:Antiretroviral Therapy, Highly Active; D001699:Biometry; D002986:Clinical Trials as Topic / Q000706:statistics & numerical data; D016208:Databases, Factual; D004196:Disease Outbreaks / Q000706:statistics & numerical data; D004812:Epidemiologic Methods; D005260:Female; D015658:HIV Infections / Q000188:drug therapy / Q000453:epidemiology / Q000209:etiology / Q000635:transmission; D006801:Humans; D008297:Male; D008954:Models, Biological; D015233:Models, Statistical; D010349:Patient Compliance; D012725:Sexual Behavior; D013997:Time Factors