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A Simple Epidemic Model Of COVID-19 And Its Application To Ukrainian, Indonesian, And The Global Data
Journal Of The Medical Sciences (Berkala Ilmu Kedokteran) ; 52(3), 2020.
Article in English | Indonesian Research | ID: covidwho-1235075
ABSTRACT
At the beginning of 2020, one of the most significant health problems for humanity is the pandemic of coronavirus disease 2019 (COVID-19). Here, we identify features and develop simple epidemic model of COVID-19 on the basis of available epidemiological data and existing trends worldwide. Modeling of COVID-19 epidemic process was based on a classic model. A key parameter of the model, i.e. transmission parameter of SARS-CoV-2, was determined numericaly with the use of available epidemiological daily reports of COVID-19 from 17 April to 23 May 2020. Numerical determination of transmission parameter of SARS-CoV-2 according to the absolute number of COVID-19 cases in Ukraine, Indonesia and worlwide data showed its global tendency to decrease over time. Approximation of the obtained numerical values of the transmission parameter of SARS-CoV-2 was carried out using the exponential function. The results of prognostic modeling showed that by the end of summer 2020, above 30 thousand COVID-19 cases are expected in Ukraine, 100 thousand COVID-19 cases in Indonesia, and 12 million COVID-19 cases worldwide. Thus, predicting the possible consequences of the implementation of various health care control programs COVID-19 involves a comprehensive study of the epidemic process of the disease as a whole and for certain periods of time with the subsequent construction of an adequate prediction model.

Full text: Available Collection: Databases of international organizations Database: Indonesian Research Language: English Journal: Journal Of The Medical Sciences (Berkala Ilmu Kedokteran) Year: 2020 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Indonesian Research Language: English Journal: Journal Of The Medical Sciences (Berkala Ilmu Kedokteran) Year: 2020 Document Type: Article