Epymodel: A User-Friendly Web Application for Visualising COVID-19 Projections for Paraguay Including Under-Reporting and Vaccination

Author:

Vázquez Noguera José LuisORCID,Ho Shin HyunORCID,Sauer Ayala CarlosORCID,Grillo SebastiánORCID,Pérez-Estigarribia PastorORCID,Torales RicardoORCID,Vázquez Noguera SilviaORCID,Gaona CarlosORCID

Publisher

Springer Nature Switzerland

Reference24 articles.

1. Matta, G.: Science communication as a preventative tool in the COVID19 pandemic. Humanit. Soc. Sci. Commun. 7, 159 (2020). https://doi.org/10.1057/s41599-020-00645-1

2. Institute for Health Metrics and Evaluation (IHME) IHME: COVID-19 projections. In: Institute for Health Metrics and Evaluation. https://covid19.healthdata.org. Accessed 26 Dec 2021

3. Gu, Y.: COVID-19 projections using machine learning. In: COVID-19 Projections Using Machine Learning. https://covid19-projections.com. Accessed 26 Dec 2021

4. Esmeria, G.J., Seva, R.R.: Web usability: a literature review. In: DLSU Research Congress Proceedings 2017. De La Salle University, Manila, Philippines (2017)

5. López, L., Rodo, X.: A modified SEIR model to predict the COVID-19 outbreak in Spain and Italy: simulating control scenarios and multi-scale epidemics. Results Phys. 21, 103746 (2021). https://doi.org/10.1016/j.rinp.2020.103746

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