Home
World Journal of Advanced Research and Reviews
International Journal with High Impact Factor for fast publication of Research and Review articles

Main navigation

  • Home
    • Journal Information
    • Editorial Board Members
    • Reviewer Panel
    • Abstracting and Indexing
    • Journal Policies
    • Our CrossMark Policy
    • Publication Ethics
    • Issue in Progress
    • Current Issue
    • Past Issues
    • Instructions for Authors
    • Article processing fee
    • Track Manuscript Status
    • Get Publication Certificate
    • Join Editorial Board
    • Join Reviewer Panel
  • Contact us
  • Downloads

eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in April 2026 (Volume 30, Issue 1) Submit manuscript

Modeling in High School: Rate of Change Model for Predicting the Number of Cases and Deaths from Covid-19

Breadcrumb

  • Home
  • Modeling in High School: Rate of Change Model for Predicting the Number of Cases and Deaths from Covid-19

Lima Pedro * and Pereira Valberto

Laboratory of Educational Data Analysis and Applied Statistics, Department of Physics and Mathematics, Federal Institute of Ceará. Fortaleza, Ceará, Brazil.
 
Research Article
World Journal of Advanced Research and Reviews, 2024, 23(02), 1032-1043
Article DOI: 10.30574/wjarr.2024.23.2.2316
DOI url: https://doi.org/10.30574/wjarr.2024.23.2.2316
 
Received on 25 June 2024; revised on 04 August 2024; accepted on 06 August 2024
 
This study presents an innovative approach to mathematical modeling in the context of high school education, introducing a new paradigm aimed at simplifying the understanding and application of this discipline for students in this age group. The core of this approach is the creation of the MTV model (Rate of Variation Model). This creation consistently demonstrated superior performance compared to traditional models such as the Gompertz model.
The novelty brought by MTV stands out by incorporating machine learning algorithms, which dynamically adapt the model parameters based on available data. This results in more accurate predictions and remarkable ability to adjust to variations in observed data.
Experiments conducted with different datasets reinforce the effectiveness of this new paradigm, demonstrating consistently superior performance compared to the Gompertz model. The flexibility shown in dealing with a variety of growth patterns and the ability to adapt to less structured data consolidate its robustness. Moreover, by allowing students to obtain results closer to reality, the approach promotes a deeper understanding of the underlying mathematical principles.
Consequently, the creation of the MTV Model, with its foundation in machine learning principles and dynamic adaptation, may lead to a new generation of high school students better prepared to tackle quantitative challenges in an ever-changing landscape.
 
Mathematics; Statistics; Probability; Machine Learning; Gompertz.
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2024-2316.pdf

Preview Article PDF

Lima Pedro and Pereira Valberto. Modeling in High School: Rate of Change Model for Predicting the Number of Cases and Deaths from Covid-19. World Journal of Advanced Research and Reviews, 2024, 23(2), 1032-1043. Article DOI: https://doi.org/10.30574/wjarr.2024.23.2.2316

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.

Get Certificates

Get Publication Certificate

Download LoA

Check Corssref DOI details

Issue details

Issue Cover Page

Editorial Board

Table of content

Copyright © 2026 World Journal of Advanced Research and Reviews - All rights reserved

Developed & Designed by VS Infosolution