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Buscema, M., Asadi-Zeydabadi, M., Massini, G., Lodwick, W., Breda, M., Petritoli, R., Newman, F. and Della Torre, F. (2023) The Topological Weighted Centroid: A New Vision of Geographic Profiling. In: Theory and Applications, Springer, Berlin.
https://doi.org/10.1007/978-3-031-28901-9

has been cited by the following article:

• 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.