DengueMG: Um Dashboard Interativo para o Monitoramento de Dengue em Minas Gerais
Resumo
Dengue remains a major public health challenge in Minas Gerais, demanding effective and accessible monitoring tools. This work presents DengueMG, an interactive dashboard developed using data from the InfoDengue API, initially focused on Minas Gerais. Informed by a review of epidemiological dashboards, the tool integrates a thematic map with case distribution, alert levels, and incidence rates, along with weekly, monthly, and yearly indicators, bar and line charts, and a quick search interface. Compared to the InfoDengue dashboard, it offers significantly faster response times, improved interactivity, and colorblind-friendly visualizations. Designed to be responsive and user-centered, the dashboard supports data-driven decision-making by policymakers, researchers, and citizens, with potential for replication in other regions and diseases.
Palavras-chave:
Dengue, Visualização de Dados, Dashboard, Saúde Pública, Minas Gerais
Referências
Boletim Epidemiológico do Ministério da Saúde. 2025. Boletim Epidemiológico. [link] Acessado em: 14 de julho de 2025.
Ensheng Dong, Hongru Du, and Lauren Gardner. 2020. An interactive web-based dashboard to track COVID-19 in real time. Issue 5. DOI: 10.1016/S1473-3099(20)30120-1
Myriam Gharbi, Philippe Quenel, Joël Gustave, Sylvie Cassadou, Guy L. Ruche, Laurent Girdary, and Laurence Marrama. 2011. Time series analysis of dengue incidence in guadeloupe, french west indies: Forecasting models using climate variables as predictors. BMC Infectious Diseases 11 (2011). DOI: 10.1186/1471-2334-11-166
Munyque Mittelmann and Daniel Gomes Soares. 2017. Previsão de Casos de Dengue no Município de Guarulhos com Redes Neurais Artificiais Multicamadas e Recorrentes. Issue 2.
Andressa Francesca Ribeiro, Gisela R.A.M. Marques, Júlio C. Voltolini, and Maria Lúcia F. Condino. 2006. Associação entre incidência de dengue e variáveis climáticas. Revista de Saude Publica 40 (2006). Issue 4. DOI: 10.1590/S0034-89102006000500017
Alper Sarikaya, Michael Correll, Lyn Bartram, Melanie Tory, and Danyel Fisher. 2019. What do we talk about when we talk about dashboards? IEEE Transactions on Visualization and Computer Graphics 25 (2019). Issue 1. DOI: 10.1109/TVCG.2018.2864903
Denise Valle, Raquel Aguiar, and Denise Pimenta. 2015. Lançando luz sobre a dengue. Ciência e Cultura 67 (2015). Issue 3. DOI: 10.21800/2317-66602015000300002
Ensheng Dong, Hongru Du, and Lauren Gardner. 2020. An interactive web-based dashboard to track COVID-19 in real time. Issue 5. DOI: 10.1016/S1473-3099(20)30120-1
Myriam Gharbi, Philippe Quenel, Joël Gustave, Sylvie Cassadou, Guy L. Ruche, Laurent Girdary, and Laurence Marrama. 2011. Time series analysis of dengue incidence in guadeloupe, french west indies: Forecasting models using climate variables as predictors. BMC Infectious Diseases 11 (2011). DOI: 10.1186/1471-2334-11-166
Munyque Mittelmann and Daniel Gomes Soares. 2017. Previsão de Casos de Dengue no Município de Guarulhos com Redes Neurais Artificiais Multicamadas e Recorrentes. Issue 2.
Andressa Francesca Ribeiro, Gisela R.A.M. Marques, Júlio C. Voltolini, and Maria Lúcia F. Condino. 2006. Associação entre incidência de dengue e variáveis climáticas. Revista de Saude Publica 40 (2006). Issue 4. DOI: 10.1590/S0034-89102006000500017
Alper Sarikaya, Michael Correll, Lyn Bartram, Melanie Tory, and Danyel Fisher. 2019. What do we talk about when we talk about dashboards? IEEE Transactions on Visualization and Computer Graphics 25 (2019). Issue 1. DOI: 10.1109/TVCG.2018.2864903
Denise Valle, Raquel Aguiar, and Denise Pimenta. 2015. Lançando luz sobre a dengue. Ciência e Cultura 67 (2015). Issue 3. DOI: 10.21800/2317-66602015000300002
Publicado
10/11/2025
Como Citar
SILVA, Jean Pierre Dias da; SOUZA, Fernanda Sumika H.; FERREIRA, Carlos Henrique Gomes; FREITAS, Vander L. S..
DengueMG: Um Dashboard Interativo para o Monitoramento de Dengue em Minas Gerais. In: WORKSHOP DE FERRAMENTAS E APLICAÇÕES - SIMPÓSIO BRASILEIRO DE SISTEMAS MULTIMÍDIA E WEB (WEBMEDIA), 31. , 2025, Rio de Janeiro/RJ.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 151-154.
ISSN 2596-1683.
DOI: https://doi.org/10.5753/webmedia_estendido.2025.15983.
