Mathematics, Free Full-Text

Por um escritor misterioso

Descrição

This comprehensive overview focuses on the issues presented by the pandemic due to COVID-19, understanding its spread and the wide-ranging effects of government-imposed restrictions. The overview examines the utility of autoregressive integrated moving average (ARIMA) models, which are often overlooked in pandemic forecasting due to perceived limitations in handling complex and dynamic scenarios. Our work applies ARIMA models to a case study using data from Recife, the capital of Pernambuco, Brazil, collected between March and September 2020. The research provides insights into the implications and adaptability of predictive methods in the context of a global pandemic. The findings highlight the ARIMA models’ strength in generating accurate short-term forecasts, crucial for an immediate response to slow down the disease’s rapid spread. Accurate and timely predictions serve as the basis for evidence-based public health strategies and interventions, greatly assisting in pandemic management. Our model selection involves an automated process optimizing parameters by using autocorrelation and partial autocorrelation plots, as well as various precise measures. The performance of the chosen ARIMA model is confirmed when comparing its forecasts with real data reported after the forecast period. The study successfully forecasts both confirmed and recovered COVID-19 cases across the preventive plan phases in Recife. However, limitations in the model’s performance are observed as forecasts extend into the future. By the end of the study period, the model’s error substantially increased, and it failed to detect the stabilization and deceleration of cases. The research highlights challenges associated with COVID-19 data in Brazil, such as under-reporting and data recording delays. Despite these limitations, the study emphasizes the potential of ARIMA models for short-term pandemic forecasting while emphasizing the need for further research to enhance long-term predictions.
Mathematics, Free Full-Text
MTEL Mathematics Middle School 47 MTEL 47 Math Exam - Free Onlin
Mathematics, Free Full-Text
Maths (Create and Display) by Webster, Liz Book The Fast Free
Mathematics, Free Full-Text
IB Mathematics Standard Level - Statistics Unit - Online Instruction
Mathematics, Free Full-Text
Math Worksheets Dynamically Created Math Worksheets
Mathematics, Free Full-Text
Mathematical Physics By V Balakrishnan Pdf Free Download
Mathematics, Free Full-Text
Math in Yorùbá with Lukgaf
Mathematics, Free Full-Text
Eureka Math/EngageNY Prekindergarten Mathematics Module 2 : Free
Mathematics, Free Full-Text
MOGEA 068 Mathematics Subtest : Missouri General Education
Mathematics, Free Full-Text
Microsoft Math Solver - Math Problem Solver & Calculator
Mathematics, Free Full-Text
William L., Pravalika P., and Isabella Z. Qualified for the 2021
Mathematics, Free Full-Text
Mathematics, Free Full-Text
Mathematics, Free Full-Text
Executive Summary for the Texas Academy of Mathematics and Science
Mathematics, Free Full-Text
Listen Free to Mathematics for Human Flourishing by Francis Su
Mathematics, Free Full-Text
3pcs/Full Set Grade 4-6 Singapore Mathematics Math in Focus+
de por adulto (o preço varia de acordo com o tamanho do grupo)