Assessment of Infection Risk Factors and the Effectiveness of Anti-Epidemic Measures to Prevent the Spread of COVID-19 Coronavirus Infection among Employees of the Moscow Aviation Hub Airport

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Abstract

Background. The new coronavirus infection COVID-19 has reached a pandemic in a few months. Large-scale measures have been taken to prevent the spread of infection, both in Russia and around the world. Analysis of the effectiveness of measures to prevent the spread of coronavirus infection COVID-19 is an urgent task to optimize the measures used to prevent the disease.

Aims — to identify infection risk factors, evaluate the effectiveness of the developed and implemented measures to prevent the spread of COVID-19 coronavirus infection at the airport of the Moscow Aviation Hub.

Material and methods. Developed and implemented measures to prevent the spread of coronavirus infection COVID-19 on the territory of the airport complex, which is part of the Moscow Aviation Hub (UIA). An assessment of the incidence among employees was conducted, laboratory testing of airport employees for coronavirus infection COVID-19 was carried out: PCR for the detection of SARS-CoV-2 virus RNA; Anti-SARS-CoV-2 IgG.

Conclusions. It was revealed that the complex of the developed measures has proven its effectiveness, made it possible to prevent the spread of infection among airport employees.

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About the authors

Natalia V. Orlova

The Russian National Research Medical University named after N.I. Pirogov

Author for correspondence.
Email: vrach315@yandex.ru
ORCID iD: 0000-0002-4293-3285
SPIN-code: 8775-1299

MD, DSc, Professor

Russian Federation, 1 Ostrovityanova str., 117997, Moscow

Natalia D. Karseladze

Medical center of the airport of the Moscow aviation hub

Email: karseladze@yandex.ru
ORCID iD: 0000-0001-8124-109X
SPIN-code: 3485-5897
Scopus Author ID: 1078338

PhD

Russian Federation, Moscow region

Sergey A. Makhnev

Medical center of the airport of the Moscow aviation hub

Email: sergeyam75@gmail.ru
ORCID iD: 0000-0001-5042-5849

Chief Medical Officer

Russian Federation, Moscow region

Elena Y. Novikova

Medical center of the airport of the Moscow aviation hub

Email: Elenka1701@gmail.com
ORCID iD: 0000-0002-9354-6875
Russian Federation, Moscow region

Yulia L. Latysheva

Medical center of the airport of the Moscow aviation hub

Email: iulya.latyshewa@yandex.ru
ORCID iD: 0000-0002-4386-7881
Russian Federation, Moscow region

Andrey V. Katsyuba

Medical center of the airport of the Moscow aviation hub

Email: smartdoctor@yandex.ru
ORCID iD: 0000-0003-4606-5603
Russian Federation, Moscow region

Lyubov P. Anischuk

Medical center of the airport of the Moscow aviation hub

Email: petrovna387@gmail.com
ORCID iD: 0000-0003-3130-7753

Physician

Russian Federation, Moscow region

Tatyana G. Suranova

Federal Research and Clinical Center of Specialized Medical Care and Medical Technologies FMBA of Russia

Email: suranovatatiana@mail.ru
ORCID iD: 0000-0003-3411-1027
SPIN-code: 7326-5273
Scopus Author ID: 848287

MD, PhD, Professor

Russian Federation, Moscow

Tatyana I. Bonkalo

State-financed Institution of Moscow city "Scientific Research Institute of Healthcare Organization and Medical Management of Moscow Department of Healthcare"

Email: bonkalotatyanaivanovna@yandex.ru
ORCID iD: 0000-0003-0887-4995
SPIN-code: 6572-7417

MD, PhD in Psychology, Professor

Russian Federation, Moscow

Yana G. Spiryakina

The Russian National Research Medical University named after N.I. Pirogov

Email: janezo@yandex.ru
ORCID iD: 0000-0002-1006-4118
SPIN-code: 5620-6667

MD, PhD, Associate Professor

Russian Federation, Moscow

References

  1. Ahn DG, Shin HJ, Kim MH, et al. Current Status of Epidemiology, Diagnosis, Therapeutics, and Vaccines for Novel Coronavirus Disease 2019 (COVID-19). J Microbiol Biotechnol. 2020;30(3):313–324. doi: https://doi.org/10.4014/jmb.2003.03011
  2. Rothan HA, Byrareddy SN. The Epidemiology and Pathogenesis of Coronavirus Disease (COVID-19) Outbreak. J. Autoimmun. 2020;109:102433. doi: https://doi.org/10.1016/j.jaut.2020.10243
  3. To КК, Tsang ОТ, Leung WS, et al. Temporal profiles of viral load in posterior oropharyngeal saliva samples and serum antibody responses during infection by SARS-CoV-2: an observational cohort study. Lancet Infect Dis. 2020;20(5):565–574. doi: https://doi.org/10.1016/S1473-3099(20)30196-1
  4. Драпкина О.М., Дроздова Л.Ю., Егоров В.А. Временные методические рекомендации по организации проведения профилактических медицинских осмотров и диспансеризации в условиях сохранения рисков распространения новой коронавирусной инфекции (COVID-19). — М., 2020. [Drapkina OM, Drozdova LYu, Egorov VA. Vremennye metodicheskie rekomendacii po organizacii provedeniya profilakticheskih medicinskih osmotrov i dispanserizacii v usloviyah sohraneniya riskov rasprostraneniya novoj koronavirusnoj infekcii (COVID-19). Moscow; 2020. (In Russ.)]
  5. Singhal T. A Review of Coronavirus Disease-2019 (COVID-19). Indian J Pediatr. 2020;87(4):281–286. doi: https://doi.org/10.1007/s12098-020-03263-6
  6. Профилактика, диагностика и лечение новой коронавирусной инфекции (COVID-19): Временные методические рекомендации, версия 7. [Profilaktika, diagnostika i lechenie novoj koronavirusnoj infekcii (COVID-19): Vremennye metodicheskie rekomendacii, versiya 7. (In Russ.)] Available from: https://static-rosminzdrav.ru/system/attachments/attaches/000/049/877/original/COVID19_recomend_v7.pdf
  7. Yang L, Tian D, Liu W. Strategies for Vaccine Development of COVID-19. Sheng Wu Gong Cheng Xue Bao. 2020;36(4):593–604. doi: https://doi.org/10.13345 / j.cjb.200094
  8. Infantino M, Grossi V, Lari B, Bambi R. Diagnostic accuracy of an automated chemiluminescent immunoassay for anti-SARS-CoV-2 IgM and IgG antibodies: an Italian experience. J Med Virol. 2020;92(9):1671–1675. doi: https://doi.org/10.1002/jmv.25932

Supplementary files

Supplementary Files
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1. Fig. 1. Block diagram of anti-epidemic measures

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2. Fig. 2. Distribution of COVID-19 incidence among employees by gender

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3. Fig. 3. Distribution of COVID-19 morbidity among employees depending on marital status

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4. Fig. 4. Distribution of the incidence of COVID-19 among employees depending on the level of education

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