Data visualization for public health policies: the DengueMap experience

Authors

DOI:

https://doi.org/10.29397/reciis.v19i1.4537

Keywords:

Data visualization, Tableau, Public health policies, Dengue, Data storytelling

Abstract

This article aims to demonstrate the importance of data literacy through the development of visualization skills to identify correlations between environmental factors and the incidence of dengue cases in Brazil. Utilizing Design Thinking and the Tableau tool, DengueMap was created, an interactive dashboard that allows detailed analysis of epidemiological, meteorological, and demographic data. Data visualization helped to highlight significant correlations between variables such as temperature and humidity and the occurrence of the disease. The dashboard facilitates the communication of complex information to decision-makers and the general public, proving crucial in public health emergency situations. In this experience report, the potential of interactive visualizations in the management of public health policies is highlighted, and the importance of data literacy is reinforced.

Author Biographies

Gabriel Felipe Cotta Cirino, Universidade de São Paulo, Escola de Comunicações e Artes. São Paulo, SP, Brasil.

Gabriel Cirino holds a Bachelor's degree in Social Communication from Estácio de Sá University, with a specialization in UX/UI Design from Coderhouse in Argentina and certifications in Design Thinking from the University of Virginia and Data Analytics from Google. He is currently pursuing an MBA in UX Research and a Master's degree in Information Management at PPGCI at USP.

Igor Salerno Filgueiras, Universidade de São Paulo, Instituto de Ciências Biomédicas. São Paulo, SP, Brasil.

Igor Salerno Filgueiras holds a Bachelor's degree in Biomedical Sciences from the Institute of Biomedical Sciences at the University of São Paulo (USP) and a Master's degree in Immunology from the same institution. He is currently pursuing a Ph.D. in Immunology and an MBA in Data Science & Analytics from ESALQ/USP. With publications in health areas such as cell therapy, infections, and autoimmunity, he has experience in data mining, descriptive and inferential statistics, machine learning, and experimental models.

Alan César Belo Angeluci, Universidade de São Paulo, Escola de Comunicações e Artes. São Paulo, SP, Brasil.

Productivity Scholarship Holder in Research (PQ-2) from CNPq. Associate Professor at the Department of Information and Culture at the School of Communications and Arts of the University of São Paulo (ECA/USP) and at the Graduate Programs in Information Science and Communication Sciences (PPGCI and PPGCOM ECA/USP). Leader of the Smart Media Users research group (smartmediausers.org). He developed postdoctoral studies at ECA/USP and the University of Texas at Austin, United States. He holds a Ph.D. from the Polytechnic School of USP, with a sandwich doctorate period at the University of Brighton, England. He holds a Master's and Bachelor's degree from the Faculty of Architecture, Arts, Communication, and Design of the São Paulo State University (UNESP). His main teaching, research, and extension topics are: Data Visualization, Digital Methods, Information and Communication Technologies (ICT), Digital Culture, and Human-Computer Interaction (HCI).

References

AGUILAR, Audilio Gonzales et al. Visualização de dados, informação e conhecimento. Florianópolis: Editora UFSC, 2020.

BARCELLOS, Christovam et al. Climate change, thermal anomalies, and the recent progression of dengue in Brazil. Scientific Reports, London, v. 14, p. 5948, 2024. DOI: https://doi.org/10.1038/s41598-024-56044-y. Disponível em: https://www.nature.com/articles/s41598-024-56044-y. Acesso em: 20 jun. 2024.

BRASIL, Lourdes M. et al. Web platform using digital image processing and geographic information system tools: a Brazilian case study on dengue. Biomedical Engineering Online, London, v. 14, p. 69, 2015. DOI: https://doi.org/10.1186/s12938-015-0052-2. Disponível em: https://biomedical-engineering-online.biomedcentral.com/articles/10.1186/s12938-015-0052-2. Acesso em: 10 jun. 2024.

BROWN, Tim. Change by design: how design thinking transforms organizations and inspires innovation. New York: HarperBusiness, 2009.

CAIRO, Alberto. The functional art: an introduction to information graphics and visualization. Berkeley: New Riders, 2013.

CASTRO, Angélica Félix de; OLIVEIRA, Amanda Gondim de. Study on Dengue cases using data analysis techniques: a case study in the state of Pernambuco, Brazil. In: IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES, 16., Chaves, 2021. Proceedings […]. New York: IEEE Xplore, p. 1-6. DOI: https://doi.org/10.23919/CISTI52073.2021.9476432. Disponível em: https://ieeexplore.ieee.org/document/9476432. Acesso em: 10 jun. 2024.

CHAUVIN, Sophie. Information & visualisation : enjeux, recherches et applications. Toulouse: editions Cépaduès, 2008.

COMBA, Joao L. D. Data visualization for the understanding of covid-19. Computing in Science & Engineering, Estados Unidos, v. 22, n. 6, p. 81-86, 2020. DOI: https://doi.org/10.1109/MCSE.2020.3019834. Disponível em: https://ieeexplore.ieee.org/document/9222822. Acesso em: 20 fev. 2025.

FEW, Stephen. Information Dashboard Design: the effective visual communication of data. Sebastopol: O’Reilly Media, 2006.

FROCHOT, Didier. Document, donée, information, connaissance, savoir. Les Infostratèges, Melun, 16 dez. 2003. Disponível em: https://www.les-infostrateges.com/article/031269/document-donnee-information-connaissance-savoir. Acesso em: 7 dez 2022.

INSTITUTO NACIONAL DE METEOROLOGIA (INMET). No Brasil, março de 2024 não foi o mais quente da série histórica, afirma Inmet. Inmet, Brasília, DF, 9 abr. 2024. Disponível em: http://portal.inmet.gov.br/noticias/no-brasil-março-de-2024-não-foi-o-mais-quente-da-série-histórica-afirma-inmet. Acesso em: 21 jun. 2024.

KAIESKI, Naira; OLIVEIRA, Luiz Paulo Luna de; VILAMIL, Marta Becker. Vis-Health: exploratory analysis and visualization of dengue cases in Brazil. In: HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES, 49., 2016, Koloa, HI. Proceedings […]. New York: IEEE Xplore, 2016. p. 3063-3072. DOI: https://doi.org/10.1109/HICSS.2016.385. Disponível em: https://ieeexplore.ieee.org/document/7427568. Acesso em: 10 jun. 2024.

KNAFLIC, Cole Nussbaumer. Storytelling with data: a data visualization guide for business professionals. Hoboken: Wiley, 2019.

MANOVICH, Lev. Cultural analytics. Cambridge: The MIT Press, 2020.

NORMAN, Don. The design of everyday things. Revised and expanded edition. New York: Basic Books, 2013.

VALLE, Denise; PIMENTA, Denise Nacif; CUNHA, Rivaldo Venâncio da (org.). Dengue: teorias e práticas. Rio de Janeiro: Editora Fiocruz, 2015.

Published

2025-03-28

How to Cite

Cirino, G. F. C., Filgueiras, I. S., & Angeluci, A. C. B. (2025). Data visualization for public health policies: the DengueMap experience. RECIIS, 19(1), 1–14. https://doi.org/10.29397/reciis.v19i1.4537

Issue

Section

Experience reports

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