Vestnik Sankt-Peterburgskogo Universiteta. Seriya 10. Prikladnaya Matematika. Informatika. Protsessy Upravleniya
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Vestnik S.-Petersburg Univ. Ser. 10. Prikl. Mat. Inform. Prots. Upr.:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Vestnik Sankt-Peterburgskogo Universiteta. Seriya 10. Prikladnaya Matematika. Informatika. Protsessy Upravleniya, 2019, Volume 15, Issue 4, Pages 616–623
DOI: https://doi.org/10.21638/11701/spbu10.2019.416
(Mi vspui433)
 

This article is cited in 2 scientific papers (total in 2 papers)

Control processes

HIV incidence in Russia: SIR epidemic model-based analysis

S. V. Sokolova, A. L. Sokolovab

a St. Petersburg State University, 7–9, Universitetskaya nab., St. Petersburg, 199034, Russian Federation
b St. Petersburg State Electrotechnical University “LETI”, 5, ul. Professora Popova, St. Petersburg, 197376, Russian Federation
Full-text PDF (452 kB) Citations (2)
References:
Abstract: The problem of predicting the incidence rate of the human immunodeficiency virus (HIV) in Russia is considered. The official morbidity levels were taken as initial data; for numerical modelling, the SIR model was applied to take into account the birth rate, mortality, as well as chemoprophylaxis and isolation of a group of infected but not epidemically dangerous patients. The search for the coefficients of the model is examined in detail using gradient descent with an auxiliary system applied. Various scenarios of the epidemic development are estimated, depending on the percentage of the number of patients who are undergoing therapy. The consequences of achieving the goals of the UNAIDS strategy 90–90–90 (90% people who are aware of their status, 90% among them are on HIV treatment and 90% among them are virally suppressed) are described. It is shown that upon reaching the target levels of involvement of patients in anti-epidemic measures, the number of infected people can be kept within 1% of the total population with a further decrease.
Keywords: HIV, math modeling, predicting, incidence.
Received: October 21, 2019
Accepted: November 7, 2019
Document Type: Article
UDC: 51.76
MSC: 92D30
Language: English
Citation: S. V. Sokolov, A. L. Sokolova, “HIV incidence in Russia: SIR epidemic model-based analysis”, Vestnik S.-Petersburg Univ. Ser. 10. Prikl. Mat. Inform. Prots. Upr., 15:4 (2019), 616–623
Citation in format AMSBIB
\Bibitem{SokSok19}
\by S.~V.~Sokolov, A.~L.~Sokolova
\paper HIV incidence in Russia: SIR epidemic model-based analysis
\jour Vestnik S.-Petersburg Univ. Ser. 10. Prikl. Mat. Inform. Prots. Upr.
\yr 2019
\vol 15
\issue 4
\pages 616--623
\mathnet{http://mi.mathnet.ru/vspui433}
\crossref{https://doi.org/10.21638/11701/spbu10.2019.416}
Linking options:
  • https://www.mathnet.ru/eng/vspui433
  • https://www.mathnet.ru/eng/vspui/v15/i4/p616
  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Вестник Санкт-Петербургского университета. Серия 10. Прикладная математика. Информатика. Процессы управления
    Statistics & downloads:
    Abstract page:101
    Full-text PDF :10
    References:9
    First page:4
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024