Epidemiological Features of the Novel Coronavirus Disease in the Lipetsk Region in 2020

Introduction: Due to a high incidence of the novel coronavirus disease (COVID-19) in the Russian Federation in 2020, identification of the regional features of the disease spread has become relevant for understanding of the further development of the development of the epidemic process, organizing and implementing comprehensive preventive measures.

Objective. To study regional features of the COVID-19 epidemic process in the Lipetsk Region.

Materials and methods. We used data from the Center for Hygiene and Epidemiology in the Lipetsk Region, notifications by healthcare facilities, summary reports on COVID-19 cases in the regions (Form 1076), and the website “стопкоронавирус.рф” (“stopcoronavirus.rf”).

Results. Incidence rates indicated a slow development of the epidemic with a growth rate of 0.68 %. Two rises were registered during the year 2020. Female COVID-19 cases prevailed (154.7 0/000 [95 % CI: 150.95–157.10]). The main risk groups included people aged 50–64 years (212.2 0/000 [95 % CI: 206.4–217.7]), 30–49 years (167.9 0/000 [95 % CI: 163.7–172.4]), and 65 years and older (126.2 0/000 [95 % CI: 121.1–131.0]). Among professional groups, high incidence rates were observed among healthcare workers (547.8 0/000 [95 % CI: 520.83–576.52]) and employees of the Ministry of Internal Affairs (257.1 0/000 [95 % CI = 214.65–305.41]). Most people got infected in their home (42.3 ± 0.4 %). We established that moderate (39.8 ± 0.4 %) and mild (31.3 ± 0.4 %) forms of the disease with symptoms similar to those of upper respiratory tract infections (47.4 ± 0.4 %) prevailed. The mortality rate did not exceed the national average (1.6 % and 1.8 %, respectively). In general, timely and consistent implementation of comprehensive measures helped influence the epidemiological situation in the region: the epidemic process was characterized by a moderate intensity of morbidity and mortality and had no explosive nature that could have destroyed the infrastructure of the region. At the same time, further monitoring and analysis of the COVID-19 situation in the Lipetsk Region is important, especially in view of the COVID-19 vaccination campaign and subsequent formation of herd immunity.

1. Kutyrev VV, Popova AYu, Smolensky VYu, et al. Epidemiological features of new coronavirus infection (COVID-19). Communication 1: Modes of implementation of preventive and anti-epidemic measures. Problemy Osobo Opasnykh Infektsiy. 2020;(1):6–13. (In Russ.) doi: 10.21055/0370-1069-2020-1-6-13

2. Kovalev EV, Tverdokhlebova TI, Karpushenko GV, et al. Epidemiological situation of the new coronavirus infection (COVID-19) in the Rostov region: analysis and forecast. Meditsinskiy Vestnik Yuga Rossii. 2020;11(3):69–78. (In Russ.) doi: 10.21886/2219-8075-2020-11-3-69-78

3. Balakhonov SV, Chesnokova MV, Perezhogin AN, et al. Epidemiological situation on COVID-19 in Irkutsk region and forecast of its spread. Problemy Osobo Opasnykh Infektsiy. 2020;(4):34–40. (In Russ.) doi: 10.21055/0370-1069-2020-4-34-40

4. Adhikari SP, Meng S, Wu YJ, et al. Epidemiology, causes, clinical manifestation and diagnosis, prevention and control of coronavirus disease (COVID–19) during the early outbreak period: a scoping review. Infect Dis Poverty. 2020;9(1):29. doi: 10.1186/s40249-020-00646-x

5. Zhmerenetsky KV, Sazonova EN, Voronina NV, et al. COVID-19: Scientific facts only. Dal’nevostochnyy Meditsinskiy Zhurnal. 2020;(1):5–22. (In Russ.) doi: 10.35177/1994-5191-2020-1-5-22

6. Danilova IA. Morbidity and mortality from COVID-19. The problem of data comparability. Demograficheskoe Obozrenie. 2020;7(1):6–26. (In Russ.)

7. Ivanov SF. Mortality from COVID-19 against the backdrop of other twentieth century mortality bursts. Demograficheskoe Obozrenie. 2020;7(2):143–151. (In Russ.) doi: 10.17323/demreview.v7i2.11141

8. Obesnyuk VF. Dynamics of local epidemic COVID-19 outbreak through the prism of compartment modeling. Health Risk Analysis. 2020;(2):83–91. (In Russ.) doi: 10.21668/health.risk/2020.2.09

9. Cao Y, Li L, Feng Z, et al. Comparative genetic analysis of the novel coronavirus (2019-nCoV/SARSCoV-2) receptor ACE2 in different populations. Cell Discov. 2020;6:11. doi: 10.1038/s41421-020-0147-1

10. Donoghue M, Hsieh F, Baronas E, et al. A novel angiotensin-converting enzyme-re-lated carboxypeptidase (ACE2) converts angiotensin I to angiotensin 1–9. Circ Res. 2000;87(5):E1–9. doi: 10.1161/01.res.87.5.e1

11. Udovichenko SK, Zhukov KV, Nikitin DN, et al. Epidemic manifestations of COVID-19 in Volgograd region: interim results. Vestnik VolgGMU. 2020;(4(76)):30–36. (In Russ.) doi: 10.19163/1994-1994-9480-2020-4(76)-30-36

12. Lvov DK, Alkhovsky SV. Source of the COVID-19 pandemic: ecology and genetics of coronaviruses (Betacoronavirus: Coronaviridae), SARS-CoV, SARS-CoV-2 (subgenus Sarbecovirus), and MERS-CoV (subgenus Merbecovirus). Voprosy Virusologii. 2020;65(2):62–70. (In Russ.) doi: 10.36233/0507-4088-2020-65-2-62-70

13. Lvov DK, Alkhovsky SV, Kolobukhina L, Burtseva EI. Etiology of epidemic outbreaks COVID-19 in Wuhan, Hubei Province, Chinese People Republic associated with 2019-nCoV virus (Nidovirales, Coronaviridae, Coronavirinae, Betacoronavirus, subgenus Sarbecovirus): lessons of SARS-CoV outbreak. Voprosy Virusologii. 2020;65(1):6–15. (In Russ.) doi: 10.36233/0507-4088-2020-65-1-6-15

14. Trunova OA, Cherkesov VV. Features of the COVID- 19 pandemic. Vestnik Gigieny i Epidemiologii. 2020;24(2):243–247. (In Russ.)

15. Prilutskii AS. Coronavirus disease 2019. Part 1: Coronavirus characteristic, epidemiological features. Vestnik Gigieny i Epidemiologii. 2020;24(1):77–86. (In Russ.)

16. Atzrodt CL, Maknojia I, McCarthy RDP, et al. A Guide to COVID–19: a global pandemic caused by the novel coronavirus SARS-CoV-2. FEBS J. 2020;287(17):3633–3650. doi: 10.1111/febs.15375

17. Trotsenko OE, Zaitseva TA, Korita TV, et al. New coronavirus infection epidemic peculiarities in the Khabarovsk Krai (preliminary results). Dal’nevostochnyy Zhurnal Infektsionnoy Patologii. 2021;40(40):20–37. (In Russ.)

18. Chen N, Zhou M, Dong X, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020;395(10223):507–513. doi: 10.1016/S0140-6736(20)30211-7

19. Bazdyrev ED. Coronavirus disease: a global problem of the 21st century. Kompleksnye Problemy Serdechno- Sosudistykh Zabolevaniy. 2020;9(2):6–16. (In Russ.) doi: 10.17802/2306-1278-2020-9-2-6-16

20. Drapkina OM, Samorodskaya IV, Sivtseva MG, et al. COVID-19: urgent questions for estimating morbidity, prevalence, case fatality rate and mortality rate. Kardiovaskulyarnaya Terapiya i Profilaktika. 2020;19(3):302–309. (In Russ.) doi: 10.15829/1728-8800-2020-2585

21. Baud D, Qi X, Nielsen-Saines K, Musso D, Pomar L, Favre G. Real estimates of mortality following COVID-19 infection. Lancet Infect Dis. 2020;20(7):773. doi: 10.1016/S1473-3099(20)30195-X

22. Zhu N, Zhang D, Wang W, et al. A novel coronavirus from patients with pneumonia in China, 2019. N Engl J Med. 2020;382(8):727–733. doi: 10.1056/NEJMoa2001017

23. Supotnitskiy MV. COVID-19 pandemic as an indicator of “blank spots” in epidemiology and infectious pathology. Vestnik Voysk RKhB Zashchity. 2020;4(3):338–373. (In Russ.) doi: 10.35825/2587-5728-2020-4-3-338-373

24. Akimkin VG, Kuzin SN, Semenenko TA, et al. Patterns of the SARS-CoV-2 epidemic spread in a megacity. Voprosy Virusologii. 2020;65(4):203–211. (In Russ.) doi: 10.36233/0507-4088-2020-65-4-203-211

25. Kutyrev VV, Popova AYu, Smolensky VYu, et al. Epidemiological peculiarities of new coronavirus infection (COVID-2019). Communication 2: Peculiarities of epidemic process development in conjunction with performed anti-epidemic measures around the world and in the Russian Federation. Problemy Osobo Opasnykh Infektsiy. 2020;(2):6–12. (In Russ.) doi: 10.21055/0370-1069-2020-2-6-12