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Volume 14   Issue 2   Year 2019
Konstantin K. Avilov1,3, Alexei A. Romanyukha1,3, Evgeny M. Belilovsky2, Sergey E. Borisov2

Comparison Of Modeling Schemes for Natural Course Of Pulmonary Tuberculosis

Mathematical Biology & Bioinformatics. 2019;14(2):570-587.

doi: 10.17537/2019.14.570.

References

 

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  2. Avilov K.K., Romanyukha A.A. Mathematical Models of Tuberculosis Extension and Control of it. Mathematical Biology and Bioinformatics. 2007;2(2):188-318. doi: 10.17537/2007.2.188
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  7. Blower S.M., McLean A.R., Porco T.C., Small P.M., Hopewell P.C., Sanchez M.A., Moss A.R. The intrinsic transmission dynamics of tuberculosis epidemics. Nature Medcine. 1995;1(8):815-821. doi: 10.1038/nm0895-815
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  10. Perelman M.I., Marchuk G.I., Borisov S.E., Kazennykh B.Ya., Avilov K.K., Karkach A.S., Romanyukha A.A. Tuberculosis epidemiology in Russia: the mathematical model and data analysis. Russ. J. Numer. Anal. Math. Modelling. 2004;19:305-314. doi: 10.1515/1569398041974905
  11. Yaesoubi R., Cohen T. Identifying dynamic tuberculosis casefinding policies for HIV/TB coepidemics. Proc. Natl. Acad. Sci. USA. 2013;110:9457–9462. doi: 10.1073/pnas.1218770110
  12. Avilov K.K., Romanyukha A.A., Borisov S.E., Belilovsky E.M., Nechaeva O.B., Karkach A.S. An approach to estimating tuberculosis incidence and case detection rate from routine notification data. The International Journal of Tuberculosis and Lung Disease. 2015;19(3):288-294. doi: 10.5588/ijtld.14.0317
  13. Rossiiskaia baza dannykh po rozhdaemosti i smertnosti. (Russian fertility and mortality database). http://demogr.nes.ru/index.php/ru/demogr_indicat/data (accessed 20 August 2019) (in Russ.).
  14. WHO. Guideline: Nutritional Care and Support for Patients With Tuberculosis. Geneva: World Health Organization; 2013. ISBN: 978-92-4-150641-0.
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Table of Contents
Original Article
Math. Biol. Bioinf.
2019;14(2):570-587
doi: 10.17537/2019.14.570
published in Russian

Abstract (rus.)
Abstract (eng.)
Full text (rus., pdf)
References

 
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