TITLE:
Analysis of the COVID-19, Outbreak in Brazil Using Topological Weighted Centroid: An Intelligent Geographic Information System Approach
AUTHORS:
Masoud Asadi-Zeydabadi, Marina Mizukoshi, Massimo Buscema, Giulia Massini, Weldon Lodwick
KEYWORDS:
COVID-19, Topological Weighted Centroid (TWC) Algorithms, TWC-Original, TWC-Frequency and TWC-Windowing
JOURNAL NAME:
Journal of Data Analysis and Information Processing,
Vol.12 No.2,
May
27,
2024
ABSTRACT: This study used Topological Weighted Centroid (TWC) to analyze the Coronavirus outbreak in Brazil. This analysis only uses latitude and longitude in formation of the capitals with the confirmed cases on May 24, 2020 to illustrate the usefulness of TWC though any date could have been used. There are three types of TWC analyses, each type having five associated algorithms that produce fifteen maps, TWC-Original, TWC-Frequency and TWC-Windowing. We focus on TWC-Original to illustrate our approach. The TWC method without using the transportation information predicts the network for COVID-19 outbreak that matches very well with the main radial transportation routes network in Brazil.