Application of probabilistic models for extreme values to the COVID-2019 epidemic daily dataset-Reference-Cited by-同舟云学术

Application of probabilistic models for extreme values to the COVID-2019 epidemic daily dataset

Published:2022-02 Issue: Volume:40 Page:107783
ISSN:2352-3409
Container-title:Data in Brief
language:en
Short-container-title:Data in Brief

Author:

Canton Enriquez Daniel^ORCID,Niembro-Ceceña Jose A.,Muñoz Mandujano Martin^ORCID,Alarcon Daniel^ORCID,Arcadia Guerrero Jorge,Gonzalez Garcia Ivan,Montes Gutierrez Agueda Areli,Gutierrez-Lopez Alfonso^ORCID

Funder

CONACYT

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference11 articles.

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3. Forecasting COVID-19;Perc;Front. Phys.,2020

4. Estimation of COVID-19 prevalence in Italy, Spain, and France;Ceylan;Sci. Total Environ.,2020

5. R. Gupta, S.K. Pal, (2020). Trend Analysis and Forecasting of COVID-19 outbreak in India. MedRxiv. doi:10.1101/2020.03.26.20044511.

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1. Spatio-Functional Local Linear Asymmetric Least Square Regression Estimation: Application for Spatial Prediction of COVID-19 Propagation;Symmetry;2023-11-23

2. An Extended Deep Learning and Feature Pyramid Based Network for Screening CT-Scans Images;2023 6th International Conference on Contemporary Computing and Informatics (IC3I);2023-09-14

3. An extreme value analysis of daily new cases of COVID-19 for sixteen countries in west Africa;Scientific Reports;2023-07-04

4. Climate Forecasting Models for Precise Management Using Extreme Value Theory;Civil Engineering Journal;2023-07-01

5. An Approach to Identify Covid Infected People Due to Contact by using Machine Learning;2022 9th International Conference on Computing for Sustainable Global Development (INDIACom);2022-03-23