There are several terrible pandemic catastrophes known in world history, as a result of which scientists periodically tried to form the correct sequences of actions leading to a system of measures that exclude a high probability of re-occurrence. The effectiveness of the proposed systems of measures, with varying degrees of success, are confirmed in practice, which allows us to subsequently judge the correct, complete, and timely application of each specific anti-epidemic system. Currently, there is a pandemic of coronavirus disease called COVID-19, which according to official data, has affected more than 190 million people in the World and has already claimed more than 4 million lives. The suddenness of the development of this pandemic, the “waves” that have arisen, subsequent mutations, and general uncertainty regarding further forecasts of stabilization of the situation is a serious problem that more than critically affects the normal functioning of absolutely all industries in the world. Despite the well-known methods of studying epidemiological processes, in general, the current state cannot be considered satisfactory and stable, and the forecasts of the full scientific cycle regarding the completion of COVID-19 are reliable and confirmed. However, there are suggestions that simple and quick measures based on available statistics can have a positive impact both on preserving the health of citizens and on maintaining the necessary stability of the functioning of various organizations. The authors propose a quick and simple method for studying COVID-19 wave processes based on available statistical data, which, together with the analysis of several key indicators, will allow the formation and effective application of an adaptable set of protection measures. The testing of this method was carried out in a holding-type company from March 2020 to May 2021, which made it possible to plan, implement and evaluate protective measures according to uniform objective criteria for several organizations in the same jurisdiction.
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2. Pigoga JL, Omer YO, Wallis LA. Derivation of a contextually-appropriate Covid-19 mortality scale for low-resource settings. Annals of Global Health. 2021; 87 (1): 31.
3. Liu M, Li Z, Zhu Y, Liu Y, Wang X, Tao L, Guo X. The Spatial clustering analysis of Covid-19 and its associated factors in mainland China at the prefecture level. The Science of the Total Environment. 2021; 777: 145992.
4. Bİdzİnashvİlİ D. Economical crisis caused by corona-virus pandemic and tendencies of effective use of the foreign debts in Georgia. Karadeniz Uluslararası Bilimsel Dergi. 2021; 1(49): 467-481.
5. Bello- Chavolla OY, Antonio-Villa NE, Vargas-Vázquez A, Fermín-Martínez CA, Aguilar-Salinas CA, Márquez-Salinas A, Bahena -López JP, González-Díaz A, Naveja JJ. Predicting mortality due to Sars-Cov-2: A mechanistic score relationg obesity and diabetes to Covid-19 outcomes in Mexico. Journal of Clinical Endocrinology and Metabolism. 2020; 105(8) : dgaa346.
6. Pavlov EA, et al. Statisticheskie i dinamicheskie aspekty prognosirovaniya Covid-19 v Nizhegorodsko ’ oblasti. Medicinski ’ almanah. 2020; 2(63): 27-36. (In Russ).
7. Suptello AA, et al. Faktory , opredelyushie vosniknovenie vtoro ’ volny zabolevaemosti Covid-19. Nauchnoe obozrenie. Medicinskie n auki. 2020; 5: 47-51. (In Russ).
8. Dy LF, Lintao RCV, Cordero CP, Dans LF, Cabaluna ITG. Prevalence and prognostic associations of cardiac abnormalities among hospitalized patients with Covid-19 : A systematic review and meta-analysis. Scientific Reports. 2021; 11(1) : 8449.
9. Livshitz II, Poshivalov IV. Dokumentirovanie medicinskih formal’nih procedur v avtomatizirovannih systemah. Vrach i Informacionnye tehnol ogii. 2021; 2: 4-11. (In Russ). doi : 1025881/18110193_2021_2_4.
10. Livshitz II. Ocenka zatrat na kachestvo na primere ekonomichesko ’ modeli. Standarti i Kache stvo. 2021; 6. 85-91. ( In Russ ).
For citation
Livshitz I.I., Poshivalov I.V., Covid-19 wave process research method: analysis and protection measures. Medical doctor and information technology. 2021; 4: 58-69. (In Russ.). doi : 1025881/18110193_2021_4_58.
Keywords