Visual analytics of COVID-19 dissemination in São Paulo state, Brazil

• Autor(a) principal: Marcílio-Jr, Wilson E. [UNESP]
• Data de Publicação: 2021
• Outros Autores: Eler, Danilo M. [UNESP], Garcia, Rogério E. [UNESP], Correia, Ronaldo C.M. [UNESP], Rodrigues, Rafael M.B. [UNESP]
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.1016/j.jbi.2021.103753; http://hdl.handle.net/11449/206154
• topic: COVID-19; Risk assessment; Visual analytics

Visual analytics techniques are useful tools to support decision-making and cope with increasing data, particularly to monitor natural or artificial phenomena. When monitoring disease progression, visual analytics approaches help decision-makers to understand or even prevent dissemination paths. In this paper, we propose a new visual analytics tool for monitoring COVID-19 dissemination. We use k-nearest neighbors of cities to mimic neighboring cities and analyze COVID-19 dissemination based on comparing a city under consideration and its neighborhood. Moreover, such analysis is performed within periods, which facilitates the assessment of isolation policies. We validate our tool by analyzing the progression of COVID-19 in neighboring cities of São Paulo state, Brazil.