9   Artículos

 
en línea
Eunju Hwang    
Daily data on COVID-19 infections and deaths tend to possess weekly oscillations. The purpose of this work is to forecast COVID-19 data with partially cyclical fluctuations. A partially periodic oscillating ARIMA model is suggested to enhance the predict... ver más
Revista: Forecasting    Formato: Electrónico

 
en línea
Mohammed Gollapalli    
The COVID-19 epidemic has highlighted the significance of sanitization and maintaining hygienic access to clean water to reduce mortality and morbidity cases worldwide. Diarrhea is one of the prevalent waterborne diseases caused due to contaminated water... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Andrea Gatto, Valeria Aloisi, Gabriele Accarino, Francesco Immorlano, Marco Chiarelli and Giovanni Aloisio    
Since December 2019, the novel coronavirus disease (COVID-19) has had a considerable impact on the health and socio-economic fabric of Italy. The effective reproduction number Rt is one of the most representative indicators of the contagion status as it ... ver más
Revista: AI    Formato: Electrónico

 
en línea
Renato Andara, Jesús Ortego-Osa, Melva Inés Gómez-Caicedo, Rodrigo Ramírez-Pisco, Luis Manuel Navas-Gracia, Carmen Luisa Vásquez and Mercedes Gaitán-Angulo    
This comparative study analyzes the impact of the COVID-19 pandemic on motorized mobility in eight large cities of five Latin American countries. Public institutions and private organizations have made public data available for a better understanding of ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yuan Meng, Man Sing Wong, Hanfa Xing, Mei-Po Kwan and Rui Zhu    
The novel coronavirus disease 2019 (COVID-19) has caused significantly changes in worldwide environmental and socioeconomics, especially in the early stage. Previous research has found that air pollution is potentially affected by these unprecedented cha... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Juan Carlos Mora, Sandra Pérez and Alla Dvorzhak    
A semiempirical model, based in the logistic map, was developed to forecast the different phases of the COVID-19 epidemic. This paper shows the mathematical model and a proposal for its calibration. Specific results are shown for Spain. Four phases were ... ver más
Revista: Forecasting    Formato: Electrónico

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