Factors contributing to the new coronavirus infection, increased risk of complications and death from it in the armed forces of the Russian Federation

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Abstract

Based on the assessment of factors that contribute to a new coronavirus infection, the risk of complications, mortality, and lethality from it in the Armed Forces of the Russian Federation were analyzed. A detailed timeline of the development of the coronavirus pandemic in the Russian Federation has been demonstrated, showing indicators of peak and overall morbidity and mortality and prevailing strains of a new coronavirus infection, depending on the waves of the pandemic. The study evaluated the features of the course of a new coronavirus infection in the Eurasian region using data from the international register “Analysis of the dynamics of comorbid diseases in patients infected with severe acute respiratory syndrome-2 coronavirus”. Modern ideas about the main pathogenetic mechanisms of involvement of the circulatory system, which underlie the development of a severe course, mortality, and lethal outcomes, are outlined. The study also presented the concept of metabolic and hemodynamic insufficiency, which justifies the inability of the desynchronized circulatory system and systems of vascular homeostasis and hemostasis to restore the previous level of functioning after a new coronavirus infection. The possibilities of carrying out differentiated anti-epidemiological measures, including the use of information technologies, aimed at reducing the spread of a new coronavirus infection, were evaluated. The mortality and mortality from a new coronavirus infection in the Armed Forces of the Russian Federation, including the effect of a new coronavirus infection on an increase in the incidence of non-communicable diseases in military personnel of different age groups, were presented. The study also considered issues of the need to introduce a rehabilitation strategy to correct conditions that occur after a new coronavirus infection, reduce the risk of subsequent mortality and lethality, and reduce it in the long term.

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Sergey A. Bucenko

Kirov Military Medical Academy

Email: sobolevvmeda@rambler.ru
ORCID iD: 0000-0003-2328-3325
SPIN-code: 1786-7066

head of the clinical department

Russian Federation, Saint Petersburg

Alexander A. Sergoventsev

Kirov Military Medical Academy

Email: 3hospital@mil.ru
SPIN-code: 7519-4702

MD, Cand. Sci. (Med.)

Russian Federation, Saint Petersburg

Regina Yu. Kuznetsova

Kirov Military Medical Academy

Email: sobolevvmeda@rambler.ru
ORCID iD: 0000-0003-3683-8940
SPIN-code: 9331-3540

employee of the department of the center for coordination of medical support

Russian Federation, Saint Petersburg

Evgeny E. Voevodin

Kirov Military Medical Academy

Email: sobolevvmeda@rambler.ru
ORCID iD: 0000-0001-9055-1321
SPIN-code: 4424-0962

head of the statistical analysis and forecasting department

Russian Federation, Saint Petersburg

Dmitry V. Cherkashin

Kirov Military Medical Academy

Email: sobolevvmeda@rambler.ru
ORCID iD: 0000-0003-1363-6860
SPIN-code: 2781-9507

MD, Dr. Sci. (Med.), professor

Russian Federation, Saint Petersburg

Alexey D. Sobolev

Kirov Military Medical Academy

Author for correspondence.
Email: sobolevvmeda@rambler.ru
ORCID iD: 0000-0003-1908-7954
SPIN-code: 3831-6584

MD, Cand. Sci. (Med.)

Russian Federation, Saint Petersburg

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Supplementary files

Supplementary Files
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1. JATS XML
2. Fig. 2. Dynamics of COVID-19 deaths in the Armed Forces of the Russian Federation depending on age and sex

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3. Fig. 3. Dynamics of COVID-19 deaths among military personnel

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4. Fig. 4. Average monthly number of deaths from non-communicable (a) and all (b) diseases before and after the pandemic in the Armed Forces of the Russian Federation (March 2020)

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5. Fig. 5. Dynamics of military deaths by quarters since the beginning of the pandemic

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6. Fig. 6. Possible COVID-19 outcomes

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7. Fig. 1. COVID-19 Wave Dynamics.

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