Information, Public Health and Disaster Management: Evidence on the use of public data in the floods of Rio Grande do Sul
DOI:
https://doi.org/10.33448/rsd-v14i12.50421Keywords:
Natural disasters, Public data, Decision-making, Public health, Floods.Abstract
The floods that occurred in Rio Grande do Sul represented a large-scale public health emergency, requiring rapid responses and evidence-based decision-making. Although public domain data are widely available on digital platforms, their systematic use to support disaster management remains limited. This study aimed to identify and analyze public data sources related to the floods in Rio Grande do Sul that may support decision-making in catastrophic contexts. A scoping review was conducted, including searches in scientific databases (MEDLINE and the Virtual Health Library – VHL), as well as gray literature, such as governmental documents, institutional databases, and digital monitoring platforms. The results revealed a scarcity of original scientific articles, with most publications consisting of editorials and reviews. In contrast, gray literature provided a greater volume of information from institutions such as Civil Defense and CEMADEN, albeit with limitations regarding standardization, periodicity, and the absence of data dictionaries. Despite the wide availability of public data, the lack of scientific validation and system integration restricts their robust use in decision-making. Strengthening strategies for data systematization and integration may significantly enhance disaster response and public health management.
References
Arksey, H., & O’Malley, L. (2005). Scoping studies: Towards a methodological framework. International Journal of Social Research Methodology, 8(1), 19–32.
Batini, C., & Scannapieco, M. (2016). Data quality: Concepts, methodologies and techniques. Springer.
Brasil. (2012). Política Nacional de Proteção e Defesa Civil. Ministério da Integração Nacional.
Brasil. (2023). Gestão de riscos e desastres no Brasil. Ministério da Integração e do Desenvolvimento Regional.
Brasil. (2024). Relatórios situacionais das enchentes no Rio Grande do Sul. Ministério da Integração e do Desenvolvimento Regional.
Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN). (2023). Monitoramento hidrometeorológico e alertas de desastres.
Defesa Civil do Rio Grande do Sul. (2024). Painel de dados das enchentes no RS.
Funtowicz, S. O., & Ravetz, J. R. (1993). Science for the post-normal age. Futures, 25(7), 739–55.
Haddaway, N. R., Collins, A. M., Coughlin, D., & Kirk, S. (2015). The role of Google Scholar in evidence reviews. Research Synthesis Methods, 6(4), 397–404.
IPCC. (2022). Climate change 2022: Impacts, adaptation and vulnerability. Cambridge University Press.
Kitchin, R. (2014). The data revolution: Big data, open data, data infrastructures and their consequences. Sage.
Levac, D., Colquhoun, H., & O’Brien, K. K. (2010). Scoping studies: Advancing the methodology. Implementation Science, 5(69), 1–9.
Lopes, F., & Almeida, C. (2020). Informação em saúde e tomada de decisão no SUS. Ciência & Saúde Coletiva, 25(5), 1891–900.
Paez, A. (2017). Gray literature: An important resource in systematic reviews. Journal of Evidence-Based Medicine, 10(3), 233–40.
Pelling, M. (2011). Adaptation to climate change: From resilience to transformation. Routledge.
Ribeiro, H., & Freitas, C. M. (2019). Desastres naturais, vulnerabilidade e saúde coletiva. Saúde em Debate, 43(spe3), 1–12.
Silva, L. J., & Buss, P. M. (2021). Vigilância em saúde e emergências sanitárias. Revista de Saúde Pública, 55(48), 1–9.
UNDRR. (2022). Global assessment report on disaster risk reduction. United Nations.
United Nations. (2015). Sendai framework for disaster risk reduction 2015–2030.
World Health Organization. (2017). Managing health risks in emergencies.
World Health Organization. (2023). Health emergency and disaster risk management framework.
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Copyright (c) 2025 Thiago Vaz de Andrade, Ana Clara Oliveira Lima, Clara Costa Alkmim, Hanna Vitória da Cruz Correia, Isabelle Christine Melo Correia de Oliveira, Julia Maria de Oliveira Santos, Luma Teles de Resende, Luys Antônyo Vasconcelos Caetano, Mariana de Oliveira Matos, Maria Eduarda Fonseca de Melo, Maria Eduarda de Alcântara de Alcântara Oliveira, Pedro Henrique Costa França, Renato Cardoso de Queiroz, Luana Teles de Resende

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