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Prokhorenkov V.I.

V.F. Voino-Yasenetsky Krasnoyarsk State Medical University

Beketov A.M.

V.F. Voino-Yasenetsky Krasnoyarsk State Medical University

Shergin S.N.

V.F. Voino-Yasenetsky Krasnoyarsk State Medical University

Gomonenko E.M.

V.F. Voino-Yasenetsky Krasnoyarsk State Medical University

Possibilities of mathematical simulation for the study of mechanisms underlying the development of the epidemic process associated with syphilitic infection

Authors:

Prokhorenkov V.I., Beketov A.M., Shergin S.N., Gomonenko E.M.

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Journal: Russian Journal of Clinical Dermatology and Venereology. 2011;9(1): 26‑33

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POSSIBILITIES OF MATHEMATICAL SIMULATION FOR THE STUDY OF MECHANISMS UNDERLYING THE DEVELOPMENT OF THE EPIDEMIC PROCESS ASSOCIATED WITH SYPHILITIC INFECTION
POSSIBILITIES OF MATHEMATICAL SIMULATION FOR THE STUDY OF MECHANISMS UNDERLYING THE DEVELOPMENT OF THE EPIDEMIC PROCESS ASSOCIATED WITH SYPHILITIC INFECTION

To cite this article:

Prokhorenkov VI, Beketov AM, Shergin SN, Gomonenko EM. Possibilities of mathematical simulation for the study of mechanisms underlying the development of the epidemic process associated with syphilitic infection. Russian Journal of Clinical Dermatology and Venereology. 2011;9(1):26‑33. (In Russ.)

Подписка 2026 Клиническая дерматология и венерология (Russian Journal of Clinical Dermatology and Venereology)
 
МСФ на ЯМ
Использование инфографики авторами научных работ
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Abstract:

The present review is concerned with mathematical simulation of the epidemic process in syphilis. The mathematical simulation is one of the most efficacious tools currently available for the in-depth investigation into such complicated phenomenon as morbidity caused by sexually transmitted infections (STI). It permits to consider a large number of alternative methods to influence the epidemic system, substantially improve the quality of managerial decisions, and experimentally assess their efficacy using different models which is of special importance for the elucidation of the role of demographic and social "core groups" and identification of behavioural factors responsible for the morbidity level in a population. Mathematical simulation may become indispensible for the choice of optimal population groups for the organization of primary and secondary prophylaxis of sexually transmitted diseases.

Keywords:

mathematical simulation
epidemic process
demographic and social "core groups"
behavioural factors
sexually transmitted diseases

Authors:

Prokhorenkov V.I.

V.F. Voino-Yasenetsky Krasnoyarsk State Medical University

Beketov A.M.

V.F. Voino-Yasenetsky Krasnoyarsk State Medical University

Shergin S.N.

V.F. Voino-Yasenetsky Krasnoyarsk State Medical University

Gomonenko E.M.

V.F. Voino-Yasenetsky Krasnoyarsk State Medical University

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