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

Abstract

Visual analytics techniques are useful tools to support decision-making and cope with increasing data, particularly when monitoring 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.

A Tool for Visualization and Analysis of Neighbourhoods, Clusters, and Indicators during the COVID‐19 Pandemic

“…Research and development of dashboards have been performed to support public health by monitoring preventive measures adherence [38] and monitoring the pandemic situation [10,39]. Dashboards related to this work were developed adopting a spatiotemporal analysis of the COVID-19 impact in different analysis contexts: lockdown impacts [40], medical resources surveillance [41,42], mathematical models for variable prediction and estimates [17,19,21,22,43,44], social network analysis [18], and realtime monitoring and analysis of the infection [23][24][25][45][46][47][48].…”

Novel informatics approaches to COVID-19 Research: From methods to applications

“…(c) Visualization technologies . Marcílio-Jr et al [45] devised a visual analytics tool for monitoring COVID-19 dissemination for each city and its k-nearest neighbors, and validated their tool in the neighboring cities of São Paulo state, Brazil. Martinez Beltrán et al [46] developed COnVIDa, a user-friendly tool which can easily gather multidisciplinary data related to the COVID-19 pandemic from different sources.…”

“… Original Research Others (7) [41] Dynamic deformable attention network (DDANet) for COVID-19 lesions semantic segmentation Rajamani, K. T. Original Research [42] An aberration detection-based approach for sentinel syndromic surveillance of COVID-19 and other novel influenza-like illnesses Wen, A. Original Research [43] IoT-based GPS assisted surveillance system with inter-WBAN geographic routing for pandemic situations Savasci Sen, S. Special Communication [44] Face mask detection using deep learning: An approach to reduce risk of Coronavirus spread Sethi, S. Original Research [45] Visual analytics of COVID-19 dissemination in Sao Paulo state, Brazil Marcilio-Jr, W. E. Original Research [46] COnVIDa: COVID-19 multidisciplinary data collection and dashboard Martinez Beltran, E. T. Special Communication [47] Factors influencing mHealth adoption and its impact on mental well-being during COVID-19 pandemic: A SEM-ANN approach Alam, M. M. D. Special Communication …”

Visual Analytics of Twitter and Social Media Dataflows: a Casestudy of COVID-19 Rumors

“…Despite the existence of wide variety of software for monitoring coronavirus, a number of authors have proposed new visualization tools [12,13,14,15]. Martínez Beltra ́n et al [12] describe developed "web-based, user-friendly dashboard for interactive plotting" which is able to analyse both coronavirus and related data, such as maximum temperature, grocery and pharmacy, etc., mostly in Spain.…”

“…Martínez Beltra ́n et al [12] describe developed "web-based, user-friendly dashboard for interactive plotting" which is able to analyse both coronavirus and related data, such as maximum temperature, grocery and pharmacy, etc., mostly in Spain. As Marcílio-Jr et al [13] writes: "Visualization-based strategies for monitoring the dissemination of diseases account for the fact that graphical representations can enhance the ability to identify data patterns and tendencies". So, authors proposed tool for drawing graphics, pie-charts, and especially maps to monitor the evolution of dissemination of coronavirus in Sao Paulo state.…”