Статья

Models for covid‐19 daily confirmed cases in different countries

H. Ahmed, R. Elbarkouky, O. Omar, M. Ragusa,
2021

In this paper, daily confirmed cases of COVID‐19 in different countries are modelled using different mathematical regression models. The curve fitting is used as a prediction tool for modeling both past and upcoming coronavirus waves. According to virus spreading and average annual temperatures, countries under study are classified into three main categories. First category, the first wave of the coronavirus takes about two‐year seasons (about 180 days) to complete a viral cycle. Second category, the first wave of the coronavirus takes about one‐year season (about 90 days) to complete the first viral cycle with higher virus spreading rate. These countries take stopping periods with low virus spreading rate. Third category, countries that take the highest virus spreading rate and the viral cycle complete without stopping periods. Finally, predictions of different upcoming scenarios are made and compared with actual current smoothed daily confirmed cases in these countries.

Цитирование

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Источник

Версии

  • 1. Version of Record от 2021-03-02

Метаданные

Об авторах
  • H. Ahmed
    El Shorouk Academy
  • R. Elbarkouky
    Ain Shams University
  • O. Omar
    Ain Shams University
  • M. Ragusa
    Università degli Studi di Catania, RUDN University
Название журнала
  • Mathematics
Том
  • 9
Выпуск
  • 6
Финансирующая организация
  • RUDN University
Номер гранта
  • undefined
Тип документа
  • journal article
Тип лицензии Creative Commons
  • CC BY
Правовой статус документа
  • Свободная лицензия
Источник
  • scopus