MODELING HUMAN-IMMUNODEFICIENCY-VIRUS INFECTION AND ACQUIRED-IMMUNE-DEFICIENCY-SYNDROME CASES IN SCOTLAND - DATA SOURCES, PRIOR INFORMATIONAND BAYESIAN-ESTIMATION
Gm. Raab et S. Yang, MODELING HUMAN-IMMUNODEFICIENCY-VIRUS INFECTION AND ACQUIRED-IMMUNE-DEFICIENCY-SYNDROME CASES IN SCOTLAND - DATA SOURCES, PRIOR INFORMATIONAND BAYESIAN-ESTIMATION, Journal of the Royal Statistical Society. Series A. Statistics in society, 161, 1998, pp. 367-384
Citations number
51
Categorie Soggetti
Social Sciences, Mathematical Methods","Statistic & Probability","Statistic & Probability
The paper describes the methodology developed to carry out predictions
of the acquired immune deficiency syndrome (AIDS) epidemic in Scotlan
d. Information on the human immunodeficiency virus (HIV) epidemic come
s from formal case reports of AIDS cases and HIV positive tests, repor
ts from surveillance schemes and from special studies. These sources o
f information, up to the end of 1994, are reviewed, Prior information
on aspects of HIV disease is available from various published and unpu
blished sources. A simple model of the HIV epidemic in Scotland is pro
posed and the information is summarized in terms of this model. Bayesi
an methodology, using Markov chain Monte Carte methods, is described a
nd used to predict future cases of AIDS in Scotland and people who wil
l be living with AIDS in the years 1995-1999.