Abstract
This paper addresses some important issues related to the estimation of the extent of injecting drug use. The population of injecting drug (heroin) users in Italy is estimated on the basis of a dynamic model of the health consequences, in particular using AIDS incidence data. The use of the prevalence estimates to monitor the impact of health care and law enforcement interventions is outlined.
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A.M. Downs, S.H. Heisterkamp, J.B. Brunet and F.F. Hamers, Reconstruction and AIDS prediction of the HIV/AIDS epidemic among adults in the European Union and in low prevalence countries of Central and Eastern Europe, AIDS 11 (1997) 649–662.
European Monitoring Centre for Drugs and Drug Addiction (EMCDDA), Annual Report, 1997.
L.D. Harrison, Trends and patterns of illicit drug use in the USA: Implication for policy, The International Journal of Drug Policy 6(2) (1995) 113–127.
S.H. Heisterkamp, A.M. Downs and J.C. van Houweling, Empirical bayesian estimators for reconstruction of HIV incidence and prevalence and forecasting of AIDS. I. Method of estimation, in: Quantitative analysis of HIV/AIDS: development of methods to support policy making for infectious disease control, Ph.D. thesis, University of Leiden, The Netherlands (1995) pp. 65–98.
Istituto Superiore di Sanità, Centro Operativo AIDS (COA), Sindrome da Immunodeficienza acquisita in Italia, aggiornamento dei casi notificati al 31 dicembre 1996, Rome, Italy (1997).
J.M. Jutkowitz, The use of data in drug policy formulation, Drugs: Education, Prevention and Policy 2(1) (1995) 27–39.
E. Kaplan and D. Soloshatz, How many drug injectors are there in New Haven? Answers from AIDS data, Mathematical and Computer Modelling 17 (1993) 109–115.
Ministry of Justice (Italy), Dipartimento dell'Amministrazione Penitenziaria, Ufficio studi, ricerche, legislazione e automazione, Divisione II — Statistica, Indagine nazionale sui soggetti tossicodipendenti e affetti da virus HIV negli istituti penitenziari, rilevamento al 31/12/96, Rome, Italy (1997).
C. Pasqualucci, L. Ravà, C. Rossi and G. Schinaia, Estimating the size of the HIV/AIDS epidemic: complementary use of Empirical Bayesian Back-Calculation and the Mover—Stayer model for gathering the largest amount of information, Simulation 71(4) (1998) 213–227.
L. Ravà and C. Rossi, Estimating the size of a hidden population involved in the HIV/AIDS epidemic: a method based on Back-Calculation and dynamical models, in: Simulation in the Medical Sciences, eds. Anderson and Katzper (The Society for Computer Simulation, San Diego, CA, in press).
C. Rossi, Evaluating world drug policies: towards a costeffectiveness analysis of initiative undertaken, The International Journal of Drug Policy 6(4) (1995) 238–242.
C. Rossi and G. Schinaia, The Mover—Stayer model for HIV/AIDS epidemic in action, Interfaces 28(3) (1998) 127–143.
C. Rossi, Measuring the extent of illicit drug use by means of dynamic models of data production processes, in: Methods to Integrate Epidemiological Indicators to Address Policy-Related Questions on Drug Use (European Monitoring Centre for Drugs and Drug Abuse (EMCDDA), Lisbon, Portugal, in press).
C. Rossi, Monitoring drug control strategies: hidden phenomena, observable events, observable times, International Journal of Drug Policy, 10(1) (in press).
UNDCP, Substance abuse related mortality: a worldwide review, United Nations International Drug Control Program, Vienna International Centre (1994).
UNDCP, World Drug Report (Oxford University Press, Oxford, 1997).
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Rossi, C. Estimating the prevalence of injecting drug users on the basis of Markov models of the HIV/AIDS epidemic: applications to Italian data. Health Care Management Science 2, 173–179 (1999). https://doi.org/10.1023/A:1019039912559
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DOI: https://doi.org/10.1023/A:1019039912559