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      • Analysis of the COVID19 Pandemic Behaviour Based on the Compartmental SEAIRD and Adaptive SVEAIRD Epidemiologic Models 

        James Fong, Simon; Lobo Marques, João Alexandre; Li, G.; Dey, Nilanjan; González-Crespo, Rubén; Herrera-Viedma, Enrique; Bernardo Gois, F. Nauber; Xavier Neto, José (Epidemic Analytics for Decision Supports in COVID19 Crisis, 2022)
        A significant number of people infected by COVID19 do not get sick immediately but become carriers of the disease. These patients might have a certain incubation period. However, the classical compartmental model, SEIR, ...
      • The Comparison of Different Linear and Nonlinear Models Using Preliminary Data to Efficiently Analyze the COVID-19 Outbreak 

        James Fong, Simon; Lobo Marques, João Alexandre; Li, G.; Dey, Nilanjan; González-Crespo, Rubén; Herrera-Viedma, Enrique; Bernardo Gois, F. Nauber; Xavier Neto, José (Epidemic Analytics for Decision Supports in COVID19 Crisis, 2022)
        The COVID-19 pandemic spread generated an urgent need for computational systems to model its behavior and support governments and healthcare teams to make proper decisions. There are not many cases of global pandemics in ...

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