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The Use of Information Technologies for Analysis of Epidemiological Situation

Authors: Bulyha, Kostiantyn; Bulyha, Olena;

The Use of Information Technologies for Analysis of Epidemiological Situation

Abstract

The aim of the article is to find optimal methods of trend building in order to analyze the epidemiological situation in case of further development of the COVID-19 pandemic. The tasks arisen due to the increase in infection cases in the fall of 2020 are considered in detail.The research methodology lies in the generalization of the least Gaussian squares method and Facebook Prophet methodology.The novelty of the study is a comparative analysis of the advantages and disadvantages of systems used for online processing of statistical data, in particular, MS Excel spreadsheets.Conclusions. The material presented in the article gives clear examples of statistical calculations using widely used software products. The problems arising from the reliability of statistical information have been considered. Examples of real calculations of trends in the epidemiological situation have been presented.

Целью статьи является поиск оптимальных методов построения тренда с целью анализа эпидемиологической ситуации в случае дальнейшего развития пандемии COVID-19. Подробно рассмотрены задачи, возникшие с ростом случаев инфицирования осенью 2020 года.Методы исследования: обобщение метода наименьших квадратов Гаусса и методология Facebook Prophet.Новизной проведенного исследования является сравнительный анализ преимуществ и недостатков систем, используемых для оперативной обработки статистических данных, в частности электронных таблиц MS Excel.Выводы. Изложенный в статье материал дает наглядные примеры выполнения статистических расчетов с использованием широко распространенных программных продуктов. Рассмотрены проблемы, возникающие в связи с достоверностью статистической информации. Представлены примеры реальных расчетов трендов эпидемиологической ситуации.

Метою статті є пошук оптимальних методів побудови тренду з метою аналізу епідеміологічної ситуації в разі подальшого розвитку пандемії COVID-19. Докладно розглянуто завдання, які виникли зі зростом випадків інфікування восени 2020 року.Методи дослідження: узагальнення методу найменших квадратів Гауса та методологія Facebook Prophet.Новизною проведеного дослідження є порівняльний аналіз переваг і недоліків систем, що використовують для оперативної обробки статистичних даних, зокрема електронних таблиць MS Excel.Висновки. Викладений у статті матеріал дає наочні приклади виконання статистичних розрахунків з використанням широко розповсюджених програмних продуктів. Розглянуто проблеми, що виникають у зв’язку з правдивістю статистичної інформації. Представлено приклади реальних розрахунків трендів епідеміологічної ситуації.

Keywords

004.6:616-036.22, пандемія COVID-19; інформаційна система; MS Excel; метод найменших квадратів; лінія тренду; статистичний аналіз, pandemic COVID-19; information system; MS Excel; the least squares method; trend line; statistical analysis, пандемия COVID-19; информационная система; MS Excel; метод наименьших квадратов; линия тренда; статистический анализ

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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