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Erschienen in: European Journal of Clinical Microbiology & Infectious Diseases 1/2010

01.01.2010 | Article

A mathematical model to study the effect of hepatitis B virus vaccine and antivirus treatment among the Canadian Inuit population

verfasst von: C. O’Leary, Z. Hong, F. Zhang, M. Dawood, G. Smart, K. Kaita, J. Wu

Erschienen in: European Journal of Clinical Microbiology & Infectious Diseases | Ausgabe 1/2010

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Abstract

The prevalence of hepatitis B among the Canadian Inuit population is 4%. This study will use a mathematical model to compare the roles of vaccination and therapy to predict future prevalence and incidence among the Canadian Inuit population for the next 50 years. We applied a mathematical model developed by Medley et al. (Nat Med 7(5):619–624, 2001), combined with data on hepatitis B incidence, prevalence, and vaccination coverage, to predict trends of hepatitis B virus (HBV) among the Inuit population over the next 50 years. The current estimated prevalence of HBV is 6.04% and the incidence is 3.4/100,000 persons among Canadian Inuit. If HBV vaccination coverage levels of 47.2% remain unchanged, the prevalence of HBV will decrease to 1.91% and the incidence will decrease to 0.81/100,000 persons by 2058. If vaccination coverage levels are increased to 57.2%, the prevalence and incidence of HBV will decrease to 1.74% and 0.63/100,000 persons, respectively. If we increase both immunization and therapy by 10%, this will produce the greatest reduction in prevalence and incidence, to 1.56% and 0.54/100,000 persons, respectively. The combination of immunization and treatment programs seems to have the best result in decreasing the prevalence and incidence of HBV among the Inuit population.
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Metadaten
Titel
A mathematical model to study the effect of hepatitis B virus vaccine and antivirus treatment among the Canadian Inuit population
verfasst von
C. O’Leary
Z. Hong
F. Zhang
M. Dawood
G. Smart
K. Kaita
J. Wu
Publikationsdatum
01.01.2010
Verlag
Springer-Verlag
Erschienen in
European Journal of Clinical Microbiology & Infectious Diseases / Ausgabe 1/2010
Print ISSN: 0934-9723
Elektronische ISSN: 1435-4373
DOI
https://doi.org/10.1007/s10096-009-0821-6

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