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Sokolov, A. V., & Sokolova, L. A. (2020). COVID-19 Dynamic Model: Balanced Identification of General Biological and Country Specific Features. Procedia Computer Science, 178, 301-310.
https://doi.org/10.1016/j.procs.2020.11.032

has been cited by the following article:

• TITLE: Major Indicators for Public Management Decision-Making during the COVID-19 Pandemic

  AUTHORS: Felipe Padilha, Eliane Morriesen, Juliane Retko Urban, Fernanda Hansch Beuren, Alexandre Borges Fagundes, Delcio Pereira, Débora Barni de Campos

  KEYWORDS: Decision-Making, Public Management, COVID-19

  JOURNAL NAME: Creative Education, Vol.13 No.6, June 20, 2022

  ABSTRACT: Within the COVID-19 pandemic scenario, social isolation and other safety measures have been rapidly implemented by World Health Organizations around the globe, directly impacting the daily lives of several people. The present study aimed to identify the most relevant factors in the Public Management decision-making process regarding social isolation and its impacts on the population. For this purpose, 7772 scientific articles from the Science Direct and Scopus databases were analyzed, composing a portfolio with the most relevant social, political, psychological, economic and health indicators to the decision-making process in Public Management during the COVID-19 pandemic.