The epidemic process of a new coronavirus infection among medical workers in the context of V.D. Belyakov’s theory of self-regulation of parasitic systems

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Abstract

BACKGROUND: The epidemic process of COVID-19, during the analyzed time interval (2020–2022), like any parasitic system, had a cyclic course, which corresponded to the main provisions of the theory of V.D. Belyakov on the self-regulation of parasitic systems. At the same time, cyclic changes in the clinical and epidemiological characteristics of the infection occurred in the general population and among its cohorts, including employees of medical organizations. The study of the clinical and epidemiological features of COVID-19 in medical workers at various stages of the pandemic is an important area of scientific research that allows the quick adjustment of preventive and antiepidemic measures for reducing the impact of biological factors on the epidemic process.

AIM: This study determines the clinical and epidemiological features of COVID-19 in medical workers, considering the phase transformations of the pathogen, and assesses the effectiveness of individual antiepidemic measures at different stages of the pandemic.

MATERIALS AND METHODS: The reporting forms “General information about patients with positive COVID-19,” “General information about patients with community-acquired pneumonia with positive COVID-19” (497 units of information), 2176 cards of epidemiological investigation of COVID-19 cases among employees of 3 municipalities were analyzed. Epidemiological and statistical research methods were used.

RESULTS: When studying the epidemic process of a new coronavirus infection among medical workers, there was a decrease in the incidence of COVID-19 and the proportion of severe clinical forms of infection and foci during the pathogen reservation phase that corresponded to the appearance of a new genetic variant. During the epidemic spread phase of the pathogen, the largest number of recurrent disease cases was recorded, and disease cases were among those previously vaccinated against this infection. The coefficient and index of focality and the average duration of the existence of the focus in this phase were higher than in the previous one. Among the factors that negatively affected the epidemic were shortcomings in implementing antiepidemic measures, violations in the flow of technological processes, crowding, and lack of working space. As the number of vaccinated and recovered COVID-19 medical workers increased, the nature of the clinical manifestations of the infection changed regarding an increase in the proportion of mild (erased) forms, and a number of characteristics of the epidemic process also changed regarding the frequency of foci formation with multiple diseases.

CONCLUSIONS: The conducted analytical epidemiological study confirms the universal nature of the main provisions of the theory of V.D. Belyakov about the self-regulation of parasitic systems at the population level. It also allows us to explain the individual characteristics of the epidemic process among specific cohorts, in particular medical workers, considering the phasic nature of the epidemic, the influence of pathogen and host population transformations, and social and natural factors.

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About the authors

Evgeniy I. Sisin

Center for Hygiene and Epidemiology in the Khanty-Mansiysk Autonomous Okrug ― Ugra; Khanty-Mansiysk State Medical Academy

Email: evg-sisin1@yandex.ru
ORCID iD: 0000-0001-5003-1110
SPIN-code: 2422-3870

MD, Cand. Sci. (Med.), Associate Professor

Russian Federation, 72 Roznina street, 628012 Khanty-Mansiysk; Khanty-Mansiysk

Alla A. Golubkova

Central Research Institute of Epidemiology; Russian Medical Academy of Continuous Professional Education

Email: allagolubkova@yandex.ru
ORCID iD: 0000-0003-4812-2165
SPIN-code: 6133-2572

MD, Dr. Sci. (Med.), Professor, Leading Researcher

Russian Federation, Moscow; Moscow

Irina I. Kozlova

Center for Hygiene and Epidemiology in the Khanty-Mansiysk Autonomous Okrug ― Ugra; Khanty-Mansiysk State Medical Academy

Email: epid_fgu3@xmao.su
ORCID iD: 0000-0002-3345-1786

MD

Russian Federation, 72 Roznina street, 628012 Khanty-Mansiysk; Khanty-Mansiysk

Nadezhda A. Ostapenko

Center for Hygiene and Epidemiology in the Khanty-Mansiysk Autonomous Okrug ― Ugra

Email: ostapenko-na86@yandex.ru
ORCID iD: 0000-0002-5643-6765
SPIN-code: 8008-1474
Russian Federation, 72 Roznina street, 628012 Khanty-Mansiysk

Olga A. Ezhova

Department of Health of the Khanty-Mansiysk Autonomous Okrug ― Ugra; Nyagan City Polyclinic

Email: epid@inbox.ru
ORCID iD: 0000-0002-4277-5723

MD

Russian Federation, 72 Roznina street, 628012 Khanty-Mansiysk; Nyagan

Damir I. Marapov

Kazan State Medical Academy ― branch Russian Medical Academy of Continuous Professional Education

Email: damirov@list.ru
ORCID iD: 0000-0003-2583-0599
SPIN-code: 5926-0451

MD, Cand. Sci. (Med.), Associate Professor

Russian Federation, Kazan

Tatyana A. Platonova

European medical center «UGMK-Health»

Author for correspondence.
Email: fill.1990@inbox.ru
ORCID iD: 0000-0001-5441-854X
SPIN-code: 3507-1445

MD, Cand. Sci. (Med.)

Russian Federation, Ekaterinburg

References

  1. Belyakov VD, Kaminskiy GD, Kaminskay SG. The hypothesis of directed self-restructuring of microorganism populations and its general biological significance. Journal of Microbiology, Epidemiology and Immunobiology. 1985;62(1):93–100. (In Russ).
  2. Belyakov VD. General patterns of functioning of parasitic systems (mechanisms of self-regulation). Parazitologiya. 1986;20(4): 249–255. (In Russ).
  3. Belyakov VD, Golubev DB, Kaminsky GD, Tets VV. Self-regulation of parasitic systems: Molecular genetic mechanisms. Leningrad: Meditsina; 1987. 238 p. (In Russ).
  4. Yakovlev AА, Pozdeeva ES. Possible mechanisms of self-regulation of parasitic systems in the biogeocenosis. Annals of the Russian Academy of Medical Sciences. 2018;73(3):195–205. (In Russ). doi: 10.15690/vramn880
  5. Akimkin VG, Popova AYu, Ploskireva AA, et al. COVID-19: The evolution of the pandemic in Russia. Report II: Manifestations of the COVID-19 epidemic process. Journal of Microbiology, Epidemiology and Immunobiology. 2022;99(3):269–286. (In Russ). doi: 10.36233/0372-9311-295
  6. Nguyen LH, Drew DA, Joshi AD, et al. Risk of COVID-19 among frontline healthcare workers and the general community: A prospective cohort study. Lancet Public Health. 2020;5(9): е475–е483. doi: 10.1016/S2468-2667(20)30164-X
  7. Briko NI, Kagramanyan IN, Nikiforov VV, et al. Pandemic COVID-19. Prevention Measures in the Russian Federation. Epidemiology and Vaccinal Prevention. 2020;19(2):4–12. (In Russ). doi: 10.31631/2073-3046-2020-l9-2-4-12
  8. Akimkin VG, Kuzin SN, Semenenko TA, et al. Characteristics of the epidemiological situation in the Russian Federation in 2020. Annals of the Russian Academy of Medical Sciences. 2021;76(4): 412–422. (In Russ). doi: 10.15690/vramn1505
  9. Sisin EI, Golubkova AA, Kozlova II, Ostapenko NA. Epidemiological risks and lessons from the first wave of new coronavirus infection (COVID-19) in healthcare organizations. Epidemiology and Infectious Diseases. 2020;25(4):156–166. (In Russ). doi: 10.17816/EID54401
  10. Platonova TA, Golubkova AA, Tutelyan AV, Smirnova SS. The incidence of COVID-19 medical workers. The issues of biosafety and occupational risk factors. Epidemiology and Vaccinal Prevention. 2021;20(2):4–11. (In Russ). doi: 10.31631/2073-3046-2021-20-2-4-11
  11. Akimkin VG, Semenenko TA, Ugleva SV, et al. COVID-19 in Russia: Epidemiology and molecular genetic monitoring. Annals of the Russian Academy of Medical Sciences. 2022;77(4):254–260. (In Russ). doi: 10.15690/vramn2121
  12. Bilev AE, Bileva NA, Chupakhina LV, et al. Is the theory of self-regulation of the epidemic process acceptable for the new coronavirus infection COVID-19? Bulletin of the Medical Institute REAVIZ: Rehabilitation, Doctor and Health. 2022;(4):12–18. (In Russ). doi: 10.20340/vmi-rvz.2022.4.COVID.2
  13. Brusina EB, Shishkina EA, Ismagilov ZR, et al. Aerogenic mechanism of infection transmission. Ed. by E.B. Brusina. Kemerovo; 2022. 171 p. (In Russ).

Supplementary files

Supplementary Files
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1. JATS XML
2. Fig. 1. The incidence of COVID-19 in the adult population and employees of medical organizations of the Khanty-Mansiysk аutonomous оkrug ― Ugra.

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3. Fig. 2. The incidence of COVID-19 among employees of medical organizations in various phases of the epidemic process during the pandemic.

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4. Fig. 3. The ratio of the chances of the disease with a new coronavirus infection, including those complicated by the defeat of light workers of medical organizations and an adult population living in the territory Khanty-Mansi Autonomous Okrug ― Ugra. COVID-19: 1) I epidemic lift; 2) II epidemic lift; 3) III epidemic lift; 4) IV epidemic lift; 5) V epidemic lift. COVID-19 complicated by damage to the lungs: 6) I epidemic lift; 7) II epidemic lift; 8) III epidemic lift; 9) IV epidemic lift; 10) V epidemic lift.

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