Modelling treatment effects in the HIV/AIDS epidemic

Journal of the Operational Research Society

Volumn 57, Issue 12, 2006, Pages 1413-1424

  Griffiths, J D ^a   Lawson, Z F ^a   Williams, J E ^a  

^a CARDIFF UNIVERSITY   (United Kingdom)

Author keywords

Compartmental model; HIV AIDS; Maximum likelihood; Treatment effects

Indexed keywords

COMPUTER SIMULATION; DATA REDUCTION; DISEASE CONTROL; MAXIMUM LIKELIHOOD ESTIMATION; PATIENT TREATMENT; PROJECT MANAGEMENT;

COMPARTMENTAL MODEL; HIV/AIDS; TREATMENT EFFECTS;

DISEASES;

EID: 33751107432     PISSN: 01605682     EISSN: 14769360     Source Type: Journal    
DOI: 10.1057/palgrave.jors.2602120     Document Type: Article

References (44)

1. Bailey NTJ (1991). The use of operational modeling of HIV/AIDS in a systems approach to public health decision making. Math Biosci 107: 413-430.
2. Bailey NTJ (1992). Parameter estimation in the operational modelling of HIV/AIDS. In: Mardia KV (ed). Art of Statistical Science, Chapter 19. John Wiley & Sons Ltd, New York, pp 277-298.
3. Bailey NTJ (1993). An improved hybrid HIV/AIDS model geared to specific public health data and decision making. Math Biosci 117: 221-237.
4. Bailey NTJ (1994a). HIV/AIDS: core group dynamics and public health action. In: Kaplan EH and Brandeau ML (eds). Modelling the AIDS Epidemic: Planning, Policy and Prediction. Raven Press Ltd, New York, pp 29-52.
5. Bailey NTJ (1994b). Estimating HIV incidence and AIDS projections: prediction and validation in the public health modelling of HIV/AIDS. Stat Med 13: 1933-1943.
6. Bailey NTJ (1997). A revised assessment of the HIV/AIDS incubation period, assuming a very short early period of high infectivity and using only San Francisco public health data on prevalence and incidence. Stat Med 16: 2447-2458.
7. Beck EJ et al for the National Prospective Monitoring System Steering Group (1999). Decreased morbidity and use of hospital services in English HIV-infected individuals with increased uptake of anti-retroviral therapy 1996-1997. AIDS 13: 2157-2164.
8. CASCADE Collaboration (2003). Determinants of survival following HIV-1 seroconversion after the introduction of HAART. Lancet 362: 1267-1274.
9. CDSC (2000). HIV and AIDS in the UK. An Epidemiological Review: 2000. PHLS, London.
10. CDSC (2002). HIV and AIDS in the UK in 2001. An Update: November 2002. PHLS, London.
11. Dangerfield BC and Roberts CA (1989). A role for system dynamics in modelling the spread of AIDS. Trans Inst Msmt and Crtl 11: 187-195.
12. Dangerfield B and Roberts C (1994). Fitting a model of the spread of AIDS to data from five European countries. In: Dangerfield B and Roberts C (eds). OR Work in HIV/AIDS, 2nd edn. ORS Publication Unit, UK, pp 7-14.
13. Dangerfield B and Roberts C (1996). Relating a transmission model of AIDS spread to data: some international comparisons. In: Isham V and Medley G (eds). Models for Infectious Human Diseases: Their Structure and Relation to Data. Publications of the Newton Institute, Cambridge University Press, Cambridge, UK, pp 473-476.
14. Dangerfield BC, Fang Y and Roberts CA (2001). Model-based scenarios for the epidemiology of HIV/AIDS: the consequences of highly active antiretroviral therapy. Systems Dynamics Rev 17(2): 119-150.
15. Day report (1996). The incidence and prevalence of AIDS and prevalence of other severe HIV disease in England and Wales for 1995 to 1999: projections using data to the end of 1994. Report of a Working Group. Communicable Disease Report 6 (Review Number 1, 5 January).
16. De Angelis D, Gilks WR and Day NE (1998). Bayesian projection of the acquired immune deficiency syndrome epidemic. Appl Stat 47: 1-33.
17. DH (2000). Prevalence of HIV and hepatitis infections in the United Kingdom 2000. Annual report of the Unlinked Anonymous Prevalence Monitoring Programme. Department of Health, December 2001.
18. DH (2002). Prevalence of HIV and hepatitis infections in the United Kingdom 2001. Annual report of the Unlinked Anonymous Prevalence Monitoring Programme. Department of Health; December.2002.
19. DH1 (2002). Table 6 Deaths and death rates per 1,000 population: age-group and sex, 2002. Age, sex and marital status Series. DH1 no. 35.
20. Downs A and Houweling H (1997). Proceedings from a joint meeting of the Working Group Modelling Support and Working Group Epidemiological Impact. EC Concerted Action Multinational Scenario Analysis Concerning Epidemiological, Social and Economic Impacts of HIV/AIDS on Society held at the National Institute of Public Health and the Environment (RIVM), Bilthoven, The Netherlands (3-4 July).
21. EuroHIV (2003). HIV/AIDS Surveillance in Europe. End-year Report 2003 No. 70. European Centre for the Epidemiological Monitoring of AIDS. WHO and UNAIDS Collaborating Centre on AIDS.
22. Evans BG et al (1993). Sexually transmitted diseases and HIV-1 infection among homosexual men in England and Wales. Br Med J 306: 426-428.
23. Griffiths JD, Williams JE and Wheeler K (1990). Modelling the course of the AIDS epidemic. In: Dangerfield B and Roberts C (eds). OR Work in HIV/AIDS, 1st edn. ORS Publication Unit, UK.
24. Griffiths J and Williams J (1994). Charting the AIDS Epidemic in the UK. In: Dangerfield B and Roberts C (eds). OR Work in HIV/AIDS, 2nd edn. ORS Publication Unit, UK, pp 3-6.
25. Griffiths JD and Williams JE (1995). Contribution to meeting of Modelling Working Group. EC Concerted Action Multinational Scenario Analysis, Paris (8-9 June).
26. Griffiths J, Lowrie D and Williams J (2000). An age-structured model for the AIDS epidemic. Eur J Opl Res 124: 1-14.
27. Hethcote HW and Van Ark JW (1980). Modelling HIV transmission and AIDS in the United States. Lecture Notes in Biomathematics, Springer-Verlag, Berlin, Heidelberg.
28. Hethcote HW, Van Ark JW and Karon JM (1991). A simulation model of AIDS in San Francisco: I Model formulation and parameter estimation. II Simulations, therapy and sensitivity analysis. Math Biosci 106: 203-247.
29. HPA (2005). AIDS/HIV quarterly surveillance tables. Cumulative UK data to end December 2004, No: 65: 04/4, January 2005.
30. Johnson AM and Gill ON (1989). Evidence for recent changes in sexual behaviour in homosexual men in England and Wales. Philosophical Transac Royal Soc London Ser B - Biol Sci 325: 151-161.
31. Kendall MG and Stuart A (1973). The Advanced Theory of Statistics, Vol. 2, 3rd edn (Inference and Relationship). Griffin: London.
32. Longini Jr IM, Clark WS, Satten GA, Byers RH and Karon JM (1996). Staged Markov Models Based on CD4 + T-lymphocytes for the natural history of HIV infection. In: Isham V and Medley G (eds). Models for Infectious Human Diseases: Their Structure and. Relation to Data. Publications of the Newton Institute, Cambridge University Press, Cambridge, UK, pp 439-459.
33. Lowrie DL (2000). An age dependant model for the AIDS epidemic. PhD thesis, Cardiff University, UK.
34. McHenry A et al. (2002). Numbers of adults with diagnosed HIV infection 1996-2005 - adjusted totals and extrapolations for England, Wales and Northern Ireland. Commun Dis Public Health 2002 5(2): 97-100.
35. NIH (2002). Treatment of HIV infection. Office of Communications and Public Liaison, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Fact Sheet, January.
36. Pasqualucci C, Rava L, Rossi C and Schinaia G (1998). Estimating the size of the HIV/AIDS epidemic: complementary use of the empirical bayesian back-calculation and the mover-stayer model for gathering the largest amount of information. Simulation 71: 213-227.
37. PHLS (2002). Sexual health in Britain: recent changes in high-risk sexual behaviours and the epidemiology of sexually transmitted infections including HIV. HIV/STI Division, PHLS Communicable Disease Surveillance Centre, July 2002.
38. Roberts CA and Dangerfield BC (1990a). Modelling the epidemiological consequences of HIV infection and AIDS: a contribution from operational research. J Opl Res Soc 41: 273-289.
39. Roberts C and Dangerfield B (1990b). A system dynamics modelling framework for understanding the epidemiology of HIV/AIDS. In: Dangerfield B and Roberts C (eds). OR Work in HIV/AIDS, 1st edn. ORS Publication Unit, UK.
40. Rossi C and Schinaia G (1998). The mover-stayer model for the HIV/AIDS epidemic in action. Interfaces 28: 127-143.
41. Sabin CA, Lee CA and Phillips AN (1994). The use of back-calculation to estimate the prevalence of severe immunodeficiency induced by the human immunodeficiency virus in England and Wales. J Royal Stat Soc Ser A - Stat Soc 157: 41-56.
42. Smith DE, Walker BD, Cooper DA, Rosenburg ES and Kaldor JM (2004). Is antiretroviral treatment of primary HIV infection clinically justified on the basis of current evidence? AIDS 18: 709-718.
43. Snary EL (2000). Modelling treatment effects in the HIV/ AIDS epidemic. PhD thesis, University of Wales, Cardiff, UK.
44. Van Sighem AI et al on behalf of the ATHENA cohort study group (2003). Mortality and Progression to AIDS after starting highly active antiretroviral therapy. AIDS 17: 2227-2236.