Variability of parameters of the COVID-19 epidemic process due to influence of regional social-hygienic factors

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Abstract

Introduction. Within the theory on self-regulation of parasitic systems, natural and social factors are considered not only the necessary condition for interaction between an infectious agent and susceptible organisms but they are also seen as regulators of phase transformations over the epidemic process. The COVID-19 epidemic process, if it conforms to postulates outlined in this theory, should be determined by influence of certain combination of environmental factors.

The purpose of the study. To establish priority social and hygienic environmental factors potent of modifying COVID-19 epidemic process on the RF territory.

Materials and methods. We applied correlation-regression and factor analysis to establish cause-effect relations between environmental factors and parameters of the COVID-19 epidemic process. Parameters of the COVID-19 epidemic process were identified based on the SIR+L compartment model and used as dependent variables. Overall, 263 factors were examined; they were conditionally divided into seven groups (anti-epidemic activities, environment, etc.).

Results. The study findings revealed several priority statistically significant factors. They include anti-epidemic activities (“population covered by vaccination” especially in older age groups (r = –0.67–(–)0.69)), levels of economic development on a given territory (gross regional product (r = –0.22)), socioeconomic wellbeing of population (households’ expenditures on food (r = 0.27)), lifestyle indicators (retail alcohol sales as per specific products (r = 0.21–0.38)), quality of the environment, workplace included (r = 0.11–0.22), urbanization (motorway density (r = 0.18)), weather and climatic factors (average monthly temperatures (r = 0.22), average monthly insolation (r = –0.25)) and others.

Limitations. The set of the examined priority factors and a period of their analysis can be considered limitations of the present study.

Conclusion. The obtained estimates as regards the priority environmental factors determining the COVID-19 epidemic process can be used when developing systemic strategic decisions on public health protection and securing its safety both in specific regions and the country as a whole.

Compliance with ethical standards. The study does not require the approval of a biomedical ethics committee of other documents (the study was performed using publicly available official statistics).

Contribution of the authors:
Zaitseva N.V. — research concept and design, editing, approval of the final version of the article;
Kleyn S.V. — editing, writing the text, approval of the final version of the article;
Alekseev V.B. — research concept and design, editing, approval of the final version of the article;
Kiryanov D.A. — editing, writing the text, approval of the final version of the article;
Glukhikh M.V. — statistical data processing, collection and processing material, writing the text.
All authors are responsible for the integrity of all parts of the manuscript and approval of the manuscript final version.

Acknowledgment. The study had no sponsorship.

Conflict of interest. The authors declare no conflict of interest.

Received: August 13, 2023
Accepted: October 11, 2023
Published: December 23, 2023

About the authors

Nina V. Zaitseva

Federal Scientific Center for Medical and Preventive Health Risk Management Technologies

Author for correspondence.
Email: noemail@neicon.ru
ORCID iD: 0000-0003-2356-1145
Russian Federation

Svetlana V. Kleyn

Federal Scientific Center for Medical and Preventive Health Risk Management Technologies

Email: noemail@neicon.ru
ORCID iD: 0000-0002-2534-5713
Russian Federation

Vadim B. Alekseev

Federal Scientific Center for Medical and Preventive Health Risk Management Technologies

Email: noemail@neicon.ru
ORCID iD: 0000-0001-5850-7232
Russian Federation

Dmitry A. Kiryanov

Federal Scientific Center for Medical and Preventive Health Risk Management Technologies

Email: noemail@neicon.ru
ORCID iD: 0000-0002-5406-4961
Russian Federation

Maxim V. Glukhikh

Federal Scientific Center for Medical and Preventive Health Risk Management Technologies

Email: gluhih@fcrisk.ru
ORCID iD: 0000-0002-4755-8306

Junior research fellow at the Department of sanitary and hygienic analysis and monitoring systemic methods, Perm, 614045, Russian Federation.

e-mail: gluhih@crisk.ru

Russian Federation

References

  1. McArthur D.B. Emerging infectious diseases. Nurs. Clin. North Am. 2019; 54(2): 297–311. https://doi.org/10.1016/j.cnur.2019.02.006
  2. Aavitsland P., Aguilera X., Al-Abri S.S., Amani V., Aramburu C.C., Attia T.A., et al. Functioning of the International Health Regulations during the COVID-19 pandemic. Lancet. 2021; 398(10308): 1283–7. https://doi.org/10.1016/S0140-6736(21)01911-5
  3. Tabari P., Amini M., Khoshnood K., Arya N. Multi-dimensional effects of the COVID-19 pandemic considering the WHO’s ecological approach. Glob. Public Health. 2021; 16(1): 136–48. https://doi.org/10.1080/17441692.2020.1839934
  4. Mishra V., Seyedzenouzi G., Almohtadi A. Health inequalities during COVID-19 and their effects on morbidity and mortality. J. Healthc. Leadersh. 2021; 13: 19–26. https://doi.org/10.2147/JHL.S270175
  5. McGowan V.J., Bambra C. COVID-19 mortality and deprivation: pandemic, syndemic, and endemic health inequalities. Lancet Public Health. 2022; 7(11): e966–75. https://doi.org/10.1016/S2468-2667(22)00223-7
  6. WHO. Infodemic. Available at: https://www.who.int/health-topics/infodemic#tab=tab_1
  7. Borkhsenius A.V. Infodemia: concept, social and political consequences, methods of managing. Seriya: Gosudarstvennoe i munitsipal’noe upravlenie. 2021; 8(1): 52–8. https://doi.org/10.22363/2312-8313-2021-8-1-52-58 https://elibrary.ru/loftxo (in Russian)
  8. Ahrens W., Pigeot I., eds. Handbook of Epidemiology. Heidelberg: Springer Berlin; 2005. https://doi.org/10.1007/978-3-540-26577-1
  9. Oakes J.M., Kaufman J.S., eds. Methods in Social Epidemiology. San Francisco: Jossey-Bass; 2017.
  10. Cherkasskiy B.L. Global Epidemiology [Global’naya epidemiologiya]. Moscow: Prakticheskaya meditsina; 2008. (in Russian)
  11. Popova A.Yu., Zaytseva N.V., Alekseev V.B., Letyushev A.N., Kir’yanov D.A., Kleyn S.V., et al. Heterogeneity of the modified sir-model parameters of waves of COVID-19 epidemic process in the Russian Federation. Gigiena i Sanitaria (Hygiene and Sanitation, Russian journal). 2023; 102(8): 740–9. https://doi.org/10.47470/0016-9900-2023-102-8-740-749 https://elibrary.ru/rdotzd (in Russian)
  12. Zaytseva N.V., Popova A.Yu., Kleyn S.V., Letyushev A.N., Kir’yanov D.A., Chigvintsev V.M., et al. Modifying impact of environmental factors on the course of an epidemic process. Gigiena i Sanitaria (Hygiene and Sanitation, Russian journal). 2022; 101(11): 1274–82. https://doi.org/10.47470/0016-9900-2022-101-11-1274-1282 https://elibrary.ru/zcwfvh (in Russian)
  13. Zaytseva N.V., Popova A.Yu., Alekseev V.B., Kir’yanov D.A., Chigvintsev V.M. Regional peculiarities of the epidemiological process caused by SARS-CoV-2 (COVID-19), compensation for the impact of modifying factors of non-infectious genesis. Gigiena i Sanitaria (Hygiene and Sanitation, Russian journal). 2022; 101(6): 701–8. https://doi.org/10.47470/0016-9900-2022-101-6-701-708 https://elibrary.ru/yozsnr (in Russian)
  14. CDC. National Center for Health Statistics. Deaths by Select Demographic and Geographic Characteristics. Available at: https://www.cdc.gov/nchs/nvss/vsrr/covid_weekly/index.htm
  15. Aldila D., Shahzad M., Khoshnaw S.H.A., Ali M., Sultan F., Islamilova A., et al. Optimal control problem arising from COVID-19 transmission model with rapid-test. Results Phys. 2022; 37: 105501. https://doi.org/10.1016/j.rinp.2022.105501
  16. Rodríguez J., Patón M., Uratani J.M., Acuña J.M. Modelling the impact of interventions on the progress of the COVID-19 outbreak including age segregation. PLoS One. 2021; 16(3): e0248243. https://doi.org/10.1371/journal.pone.0248243
  17. Tong F., Yu C., Wang L., Chi I., Fu F. Systematic review of efficacy of interventions for social isolation of older adults. Front. Psychol. 2021; 12: 554145. https://doi.org/10.3389/fpsyg.2021.554145
  18. Vardavas R., de Lima P.N., Baker L. Modeling COVID-19 nonpharmaceutical interventions: Exploring periodic NPI strategies. medRxiv. 2021. Preprint. https://doi.org/10.1101/2021.02.28.21252642
  19. Chermali S., Mari-Sáez A., El Bcheraoui C., Weishaar H. Health care workers’ experiences during the COVID-19 pandemic: a scoping review. Hum. Resour. Health. 2022; 20(1): 27. https://doi.org/10.1186/s12960-022-00724-1
  20. Khanijahani A., Iezadi S., Gholipour K., Azami-Aghdash S., Naghibi D. A systematic review of racial/ethnic and socioeconomic disparities in COVID-19. Int. J. Equity. Health. 2021; 20(1): 248. https://doi.org/10.1186/s12939-021-01582-4
  21. Banerjee T., Paul A., Srikanth V., Strümke I. Causal connections between socioeconomic disparities and COVID-19 in the USA. Sci. Rep. 2022; 12(1): 15827. https://doi.org/10.1038/s41598-022-18725-4
  22. Hernandez Carballo I., Bakola M., Stuckler D. The impact of air pollution on COVID-19 incidence, severity, and mortality: A systematic review of studies in Europe and North America. Environ. Res. 2022; 215(1): 114155. https://doi.org/10.1016/j.envres.2022.114155
  23. Quinete N., Hauser-Davis R.A. Drinking water pollutants may affect the immune system: concerns regarding COVID-19 health effects. Environ. Sci. Pollut. Res. Int. 2021; 28(1): 1235–46. https://doi.org/10.1007/s11356-020-11487-4
  24. Nyberg A., Rajaleid K., Demmelmaier I. The work environment during coronavirus epidemics and pandemics: a systematic review of studies using quantitative, qualitative, and mixed-methods designs. Int. J. Environ. Res. Public Health. 2022; 19(11): 6783. https://doi.org/10.3390/ijerph19116783
  25. Kleyn S.V., Vekovshinina S.A. Priority risk factors related to drinking water from centralized water supply system that create negative trends in population health. Analiz riska zdorov’yu. 2020; (3): 48–59. https://doi.org/10.21668/health.risk/2020.3.06.eng https://elibrary.ru/sqzgcl (in Russian)
  26. Tavakol Z., Ghannadi S., Tabesh M.R., Halabchi F., Noormohammadpour P., Akbarpour S., et al. Relationship between physical activity, healthy lifestyle and COVID-19 disease severity; a cross-sectional study. Z. Gesundh. Wiss. 2023; 31(2): 267–75. https://doi.org/10.1007/s10389-020-01468-9
  27. Hamer M., Kivimäki M., Gale C.R., Batty G.D. Lifestyle risk factors, inflammatory mechanisms, and COVID-19 hospitalization: A community-based cohort study of 387,109 adults in UK. Brain Behav. Immun. 2020; 87: 184–7. https://doi.org/10.1016/j.bbi.2020.05.059
  28. Azzouzi S., Stratton C., Muñoz-Velasco L.P., Wang K., Fourtassi M., Hong B.Y., et al. The impact of the COVID-19 pandemic on healthy lifestyle behaviors and perceived mental and physical health of people living with non-communicable diseases: an international cross-sectional survey. Int. J. Environ. Res. Public Health. 2022; 19(13): 8023. https://doi.org/10.3390/ijerph19138023
  29. Szabo G., Saha B. Alcohol’s effect on host defense. Alcohol Res. 2015; 37(2): 159–70.
  30. Carozzi F., Provenzano S., Roth S. CEP Discussion Paper No. 1711. Urban density and COVID-19; 2020. Available at: https://cep.lse.ac.uk/pubs/download/dp1711.pdf
  31. Pascoal R., Rocha H. Population density impact on COVID-19 mortality rate: A multifractal analysis using French data. Physica A. 2022; 593: 126979. https://doi.org/10.1016/j.physa.2022.126979
  32. Hadizadeh F. Supplementation with vitamin D in the COVID-19 pandemic? Nutr. Rev. 2021; 79(2): 200–8. https://doi.org/10.1093/nutrit/nuaa081
  33. Korobitsyna R.D., Sorokina T.Yu. Vitamin D status of the Russian reproductive population over the past 10 years: a systematic review. Rossiyskaya Arktika. 2022; (3): 44–55. https://doi.org/10.24412/2658-42552022-3-44-55 https://elibrary.ru/iqqxoo (in Russian)

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