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Epidemic Modelling of HIV/AIDS Transfers between Eastern and Western Europe

  • Phillip Smith
  • Richard Thomas
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Part of the The GeoJournal Library book series (GEJL, volume 70)

Abstract

A recent analysis of the HIV/AIDS epidemic in Western Europe revealed a number of north-south contrasts (Thomas, 2000). The introduction of antiretroviral drug combination therapies that suppress symptoms of AIDS in those with HIV (Feigal et al., 1999; Deschamps et al., 2000), for example, appears to have had the greater health impact in northern countries. Similarly, the comparatively low incidence in the north, which is predominantly among gay men, was supported by more extensive travel patterns than in the south, where intravenous drug use (IVDU) is the major risk behaviour. These findings were obtained by fitting a multiregion epidemic model to reported AIDS incidence in each country. The present paper extends this space-time analysis to all the countries of Europe with the intention of identifying further structural differences between east and west.

Keywords

Risk Population Reproduction Number Epidemic Model East European Country West European Country 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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References

  1. Anderson, R.M. and R.M. May (1991), Infectious Diseases of Humans: Dynamics and Control. Oxford University Press, Oxford.Google Scholar
  2. Baroyan, O.V. and L.A. Rvachev (1967), `Deterministic epidemic models for a territory with a transport network.’ Kibernetika, 3, 67–74.Google Scholar
  3. Bryan, D. and M. O’Kelly (1999), `Hub and spoke networks in air transportation: an analytical review.’ Journal of Regional Science, 39, 275–296.CrossRefGoogle Scholar
  4. Deschamps, D., P. Flandre and V. Calvez (2000), `Mechanisms for virologic failure in previously untreated HIV-infected patients from a trial of induction maintenance therapy.’ Journal of the American Medical Association, 283, 205–211.CrossRefGoogle Scholar
  5. Flahault, A. and A.J. Valleron (1992), `A method for assessing the global spread of HIV-1 infection based on air travel.’ Mathematical Population Studies, 3, 161–171.CrossRefGoogle Scholar
  6. Feigal, E.G. (1999), `AIDS-associated malignancies: research perspectives.’ Biochimica et Biophysica Acta, 1423(1), cl—c9.Google Scholar
  7. Frankenberg, G. (1992), `Germany: the uneasy triumph of pragmatism.’ In D.L.Kirp and R. Bayer (eds.), AIDS in the Industrialised Democracies; Passions, Politics and Policies. Rutgers University Press, New Brunswick, N.J., pp. 99–133.Google Scholar
  8. Hersh, B.S. (1991), `AIDS in Romania.’ Lancet, 338, 645–649.CrossRefGoogle Scholar
  9. Jacquez, J.A., C.P. Simon and J. Koopman (1995), `Core groups and the ROs for subgroups in heterogeneous SIS and SI models.’ In D.Mollison (ed.),. Epidemic Models: Their Structure and Relation to Data. Cambridge University Press, Cambridge, pp. 279–301.Google Scholar
  10. Johnson, A., J. Wadsworth, K. Wellings and J. Field (1994), Sexual Attitudes and Lifestyles. Blackwell Scientific Publishing, Oxford.Google Scholar
  11. Knox, E.G., C. MacArthur and K.J. Simons (1993), Sexual Behaviour and AIDS in Great Britain. HMSO, London.Google Scholar
  12. Lajmanovich, A. and J.A. Yorke (1976), `A deterministic model for gonorrhoea in a nonhomogeneous population.’ Mathematical Bioscience, 28, 221–236.CrossRefGoogle Scholar
  13. Lamptey, P. and D. Tarantola (1998), HIV/AIDS in Eastern Europe. WHO, Boston.Google Scholar
  14. Longini, 1.M., P.E.M. Fine and S.B. Thacker (1986), `Predicting the global spread of new infectious agents.’ American Journal of Epidemiology, 123, 383–391.Google Scholar
  15. May, R.M., R.M. Anderson and S. Blower (1989), `The epidemiology and transmission dynamics of HIV/AIDS.’ Daedalus, 118, 163–201.Google Scholar
  16. Murray, G.D. and A.D. Cliff (1977), `A stochastic model for measles epidemics in a multi-Google Scholar
  17. region setting.’ Transactions of the Institute of British Geographers (New Series),2, 158–177.Google Scholar
  18. Nowak, M., R.M. Anderson, A.R. McLean, T. Wolfs, J. Goudsmit and R.M. May (1991), `Antigenic diversity thresholds and the development of AIDS.’ Science, 254, 963–969.CrossRefGoogle Scholar
  19. Obadia, Y., D. Rey and J.P. Moatti (1994), `HIV prenatal screening in south-eastern France: differences in seroprevalence and screening policies by pregnancy outcome.’ AIDS Care, 6, 29–38.CrossRefGoogle Scholar
  20. Rezza, G., A. De Rose, M. Dorrucci, C. Arpino and I. Serafin (1993), `Declining prevalence of HIV infection among injecting drug users entering drug treatment in Italy, 1990–1991.’ European Journal of Epidemiology, 9, 663–666.CrossRefGoogle Scholar
  21. Rosenberg, P.S., H.M. Gail and R.J. Carroll (1992), `Estimating HIV prevalence and projecting AIDS incidence in the United States: a model that accounts for therapy and changes in the surveillance definition of AIDS.’ Statistics in Medicine, 11, 1633–1655.CrossRefGoogle Scholar
  22. Sattenspiel, L. and K. Dietz (1995), `A structured epidemic model incorporating geographic mobility among regions.’ Mathematical Biosciences 128, 71–91.CrossRefGoogle Scholar
  23. Smith, P.W. (2003), Multiregion modelling of the HIV/AIDS epidemic in Europe. Unpublished Ph.D. thesis, School of Geography, University of Manchester (forthcoming).Google Scholar
  24. Stark, K. and R. Muller (1993), `HIV prevalence and risk behaviour in injecting drug users in Berlin.’ Forensic Science International, 62, 73–81.CrossRefGoogle Scholar
  25. Thomas, R.W. (1999a), `Reproduction rates in multiregion modeling systems for HIV/AIDS.’ Journal of Regional Science, 39, 359–385.CrossRefGoogle Scholar
  26. Thomas, R.W. (1999b), `Stability and mixing conditions for HIV/AIDS models with regional compartments.’ Journal of Geographical Systems, 1, 347–365.CrossRefGoogle Scholar
  27. Thomas, R.W. (2000), `Reconstructing the space-time structure of the HIV/AIDS epidemic for the countries of Western Europe.’ Transactions of the Institute of British Geographers (New Series), 25, 445–464.CrossRefGoogle Scholar
  28. Thomas, R.W. (2001), `Estimated population mixing by country and risk cohort for the HIV/AIDS epidemic in Western Europe.’ Journal of Geographical Systems, 3, 283–301.CrossRefGoogle Scholar
  29. Thomas, R.W. and T.E. Smith (2000), ‘Multiregion contact systems for modelling STD epidemics.’ Statistics in Medicine, 19, 2479–2491.CrossRefGoogle Scholar
  30. Toubiana, L. and J.F. Vibert (1998), `An artificial neural network model for the spread of communicable diseases.’ In L. Gierl, A.D. Cliff, A.J. Valleron, P. Farrington and M. Bull (eds.), GEOMED ‘87; Proceedings of the International Workshop on Geomedical Systems. TeubnerGoogle Scholar
  31. Verlag, Leipzig, 249–259.Google Scholar
  32. UN (1984), Statistical Yearbook, 33, 760–763Google Scholar
  33. UN (2000), Statistical Yearbook, 44, 928–949Google Scholar
  34. WHO (1998), `The HIV/AIDS situation, June 1998.’ Weekly Epidemiological Record, 73, 195–197.Google Scholar
  35. WHO (2000a), Epidemiological Fact Sheets on HIV/AIDS and Sexually Transmitted Diseases. Google Scholar
  36. UNAIDS/WHO Working Group on Global HIV/AIDS and STD Surveillance, Geneva.Google Scholar
  37. WHO (2000b), Global Surveillance of Epidemic-prone Infectious Diseases. Geneva.Google Scholar
  38. Williams, J.S. and P.H. Rees (1994), `A simulation of the transmission of HIV and AIDS in regional populations within the United Kingdom.’ Transactions of the Institute of British Geographers (New Series), 19, 311–330.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2003

Authors and Affiliations

  • Phillip Smith
    • 1
  • Richard Thomas
    • 1
  1. 1.School of GeographyUniversity of ManchesterManchesterUK

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