Evaluating How the Social Restriction, the Government Response, the Health, and Economic Indices Affected the Prediction of the Number of Deaths Provoked by COVID-19 in Brazil Using Classical Statistical and Machine Learning Models-Reference-Cited by-同舟云学术

Evaluating How the Social Restriction, the Government Response, the Health, and Economic Indices Affected the Prediction of the Number of Deaths Provoked by COVID-19 in Brazil Using Classical Statistical and Machine Learning Models

Published:2023 Issue: Volume:66 Page:
ISSN:1678-4324
Container-title:Brazilian Archives of Biology and Technology
language:
Short-container-title:Braz. arch. biol. technol.

Author:

Provenza Marcello Montillo¹^ORCID,Luna Aderval Severino¹^ORCID,Xavier Vinicius Layter¹^ORCID

Affiliation:

1. Universidade do Estado do Rio de Janeiro, Brasil

Publisher

FapUNIFESP (SciELO)

Subject

Multidisciplinary

Link

http://www.scielo.br/scielo.php?script=sci_pdf&pid=S1516-89132023000100601&tlng=en

Reference39 articles.

1. A novel coronavirus from patients with pneumonia in China, 2019;Zhu N;N Engl J Med,2020

2. A contribution to the mathematical theory of epidemics. Proceedings of the royal society of London;Kermack WO;Series A, Containing Papers of a Math and Phys Character,1927

3. Contributions to the mathematical theory of epidemics. II.-The problem of endemicity;Kermack WO;Proceedings of the Royal Society of London. Series A, Containing Papers of a Math and Phys Character,1932

4. Contributions to the mathematical theory of epidemics. III.-Further studies of the problem of endemicity. Proceedings of the Royal Society of London;Kermack WO;Series A, Containing Papers of a Math and Phys Character,1933

5. An empirical overview of nonlinearity and overfitting in machine learning using COVID-19 data;Peng Y;Chaos, Solitons & Fractals,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Real-Time Systems for Air Quality Forecasting: A Review of Sensor Networks, Data Fusion, and Modeling Approaches;Lecture Notes in Networks and Systems;2024