Epidemiology of Coronavirus disease 2019 (COVID-19)

Биличенко, Т. Н.

doi:10.15829/2712-7567-2020-2-15

Cited by 10 publications

(6 citation statements)

References 4 publications

(2 reference statements)

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“…-ProcessCure -effectiveness of medicine: methods of treatment, improvement of prescription drugs, study of strains of coronavirus infection. It is a floating point number that can vary from 0.1 to 1, where the left border is the minimum chance of successful treatment of the patient, and the right border is the maximum [5].…”

Section: Methodsmentioning

confidence: 99%

Analysis and modeling of the impact of restrictive measures on the development of the COVID-19 situation on the example of the Kaluga region

et al. 2022

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At the time of writing, humanity’s struggle with coronavirus infection has been going on for almost 1.5 years, but the outcome is still unknown. The SARS-CoV-2 virus significantly affects the life of every person, which underlines the urgency of the problem. To combat COVID-19, the authorities of the region take many decisions to delay and slow down the growth of morbidity. This article is aimed at studying the impact of restrictive measures imposed by the authorities on the development of the situation with a new coronavirus infection. A computer prognostic model will be used to compare the effectiveness of each solution for new virus strains and outbreaks of morbidity. Based on the model, the results of the impact of decisions and methods taken by the authorities during the pandemic on the development of the morbidity situation will be analyzed. In order to obtain statistically important data on territorial parameters, the Kaluga region was chosen, taking into account the location near Moscow, where the disease manifests itself most vividly, due to the large number of residents.

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Section: Methodsmentioning

confidence: 99%

Analysis and modeling of the impact of restrictive measures on the development of the COVID-19 situation on the example of the Kaluga region

et al. 2022

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“…People who have successfully been vaccinated -Vaccinated 7. People who could not recover from the infection before the fatal outcome -Dead The main parameters of this system are: • Total population (TotalPopulation); * Rating of contact between people in one day (ContactRateInfectious)this parameter is calculated in the range from 0 to 1; * Probability of transmission (Infection)this parameter takes values from 0.1 to 0.2 [1]; * Incubation period (AverageIncubationTime) -lasts 11 days [2]; * The average duration of the disease (AverageIllnessDuration) is 25 days [3]; * Probability of death (DeathProbability) -takes values from 0 to 0.01 [4]; * The probability of recovery from infection WITHOUT antibody production is 0.2; * The probability of successful vaccination (VaccineProbability) is 0.91 [5]; * Vaccination rating among the population (Vaccination)takes values from 0 to 0.1. As you can see, some parameters have several undefined values.…”

Section: Methodsmentioning

confidence: 99%

Development of a simulation model for the spread of COVID-19 coronavirus infection in Kaluga region

et al. 2021

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The development of the situation around Covid-19 is an urgent problem for the whole world, and it is still not known exactly how the pandemic will develop. However, based on the data of the virus spread to date, it is possible to model the approximate outcome of the activities of humanity in the fight against Covid-19. To develop this model, we used a simulation tool-AnyLogic (Personal Learning Edition) with support for the Java programming language. This software has a large analytical functionality. When creating the Covid-19 infection model, the free version of the program was used. This model is only relevant if the pandemic continues at the same pace. There are many factors that can deviate from the presented model in any direction: early release from restrictive measures, virus mutations, forced vaccination of the population, and other measures that directly affect the main indicators of infection development. In the process of modelling the spread of Covid-19 coronavirus infection in the Kaluga region, results were obtained that reflect the rate of development of the pandemic. Thus, it is possible to identify the weaknesses of the fight against viruses and further minimize the rate of development of the disease.

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“…Among the 7 coronaviruses, three are dangerous nowdays: SARS-CoV, which causes atypical pneumonia; MERS-CoV, the causative agent of the so-called Middle East respiratory syndrome; SARS-CoV-2, which caused the pandemic that began at the end of 2019. Until 2002, coronaviruses were considered as pathogens of mild upper respiratory tract diseases, accounted for about 30% of all acute respiratory diseases with extremely severe fatal outcome, and were more often regarded as a banal cold [3][4][5].…”

Section: Stages Of Epidemics and Pandemics Of Coronavirus Infection A...mentioning

confidence: 99%

Medical and Social Aspects of the New Coronavirus Infection

Abdimomunova¹,

Zholdoshev²

2023

EJNH

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The article presents the data of an analytical review of a new coronavirus infection at the present stage of the development of healthcare in the Kyrgyz Republic, actualizes the issues of quality of specialized medical care to the population, especially in the context of a pandemic and epidemic. The presented review article highlights current data related to issues of etiology, pathogenesis, clinical characteristics, as well as problems of sarcopenia, a condition characterized by loss of muscle mass, decreased strength, and epidemic characteristics of a new coranovirus infection. The etiology, morbidity, risk factors are considered, new possibilities of specific prevention of this infection are studied. The analysis of statistical results of indicators characterizing the epidemiological picture of COVID-19, including the dynamics of morbidity in the territory of the Kyrgyz Republic for the period 2020-2022 was carried out. Comprehensive studies in this aspect: providing consultative and diagnostic assistance to the population, as well as medical and social significance of the identification and early diagnosis of a new COVID-19 coronavirus infection from the beginning of the pandemic to the present. The availability of information on the mechanisms of the emergence of new viruses is considered, the clinical and epidemiological features of outbreaks of coronavirus infections are studied, the identification of factors contributing to the spread of infections has made it possible to identify the most significant measures to prevent the spread of dangerous infections. Carrying out anti-epidemic, including isolation-restrictive and disinfection measures, informing the population about ways to protect against infection, etc. -these measures are widely used in the world in the fight against epidemics. The COVID-19 epidemic has gone down in history as an emergency of international importance. Currently, there are practically no effective treatments so far. Cosmic changes in the lifestyle of people in the XXI century have already negatively affected the state of psychosomatic health of the population. The current COVID-19 pandemic has played the role of a trigger factor in the development of psychosocial stress with a sharp increase in somatic problems. The feeling of fear and uncertainty from the virus threat at the beginning of 2019-2022 was replaced by the threat of social ill-being due to political and economic changes. How to minimize and prevent the negative effects of stress, how not to miss alarm signals, what treatment to prescribe remain relevant and important for practical application information is presented in this article.

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Epidemiology of Coronavirus disease 2019 (COVID-19)

Cited by 10 publications

References 4 publications

Analysis and modeling of the impact of restrictive measures on the development of the COVID-19 situation on the example of the Kaluga region

Analysis and modeling of the impact of restrictive measures on the development of the COVID-19 situation on the example of the Kaluga region

Development of a simulation model for the spread of COVID-19 coronavirus infection in Kaluga region

Medical and Social Aspects of the New Coronavirus Infection

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