Computational system as support in the collection and management of environmental health surveillance data: an application in the municipality of Jaboatão dos Guararapes/PE, Brazil

• Augusto César Ferreira de Miranda Oliveira UFRPE https://orcid.org/0000-0001-6353-2096
• Gustavo Miranda Oliveira UFAL https://orcid.org/0000-0002-4794-3837
• Marília Miranda Oliveira UFRPE https://orcid.org/0000-0003-1938-4772
• Lucas Amaral UFRPE https://orcid.org/0000-0003-1096-3241
• Alexsandro Santos Machado UFRPE https://orcid.org/0000-0001-9568-094X
• Moacyr Cunha Filho UFRPE http://orcid.org/0000-0002-3466-8143
• Guilherme Vilar UFRPE https://orcid.org/0000-0001-5497-0326

Resumo

Context: Environmental health surveillance, regulated by the National Health Foundation (FUNASA), seeks to promote, monitor and evaluate detection, prevention and intervention actions in environmental conditions that interfere with the population's health. Problem: The municipality of Jaboatão dos Guararapes/PE, within the scope of environmental health surveillance, monitors and evaluates its location through a physical bulletin. However, in the face of this process, there is difficulty in organizing, structuring and analyzing the collected data. Thus, impairing decision-making and the direction of actions. Solution: This work proposes a computational system to support the monitoring and evaluation processes of environmental health surveillance actions in the municipality of Jaboatão dos Guararapes/PE. IS theory: Theory of work systems. Method: The Design Thinking method was used to design the system, considering the steps of: immersion; ideation; prototyping; and development. The study was based on a descriptive approach, with a quantitative character. Summary of Results: A system composed of: a mobile application, a web interface and a data management server were developed. The use of the system, through 10 environmental health agents, in a pilot project, resulted in the collection of data from 8098 locations. The data collected represented factors that interfere with human health, such as: environmental risks; the presence of scorpions; and breeding grounds for the Aedes aegypti mosquito. Contributions and Impact in the IS area: The system provided a structure that enabled agents, supervisors and managers to organize and optimize their workflow, allowing the observation of intervention actions that directly impact the health conditions of the Jaboatão population.

Palavras-chave: app web, app mobile, geolocation, maps, kernel density estimation

Referências

Antonia T Alves, Adailton M Lima, Ernani de Oliveira Sales, and Anderson Jorge S da Costa. 2014. Relato da aplicação da metodologia design thinking no projeto de um software para mobilidade urbana. In Anais do X Simpósio Brasileiro de Sistemas de Informação. SBC, 333–344.

Manlio Bacco, Franca Delmastro, Erina Ferro, and Alberto Gotta. 2017. Environmental monitoring for smart cities. IEEE Sensors Journal 17, 23 (2017), 7767–7774.

Tim Brown. 2020. Design Thinking: uma metodologia poderosa para decretar o fim das velhas ideias. Alta Books.

Nakarin Chaikaew, Nitin K Tripathi, and Marc Souris. 2009. Exploring spatial patterns and hotspots of diarrhea in Chiang Mai, Thailand. International Journal of Health Geographics 8, 1 (2009), 1–10.

Ellen K Cromley and Sara L McLafferty. 2011. GIS and public health. Guilford Press.

Fundacao Nacional de Saude (Brasil). 2002. Vigilância ambiental em saúde. Funasa.

Aaron D Falchook, Gregg Tracton, Lori Stravers, Mary E Fleming, Anna C Snavely, Jeanne F Noe, David N Hayes, Juneko E Grilley-Olson, Jared M Weiss, Bryce B Reeve, et al. 2016. Use of mobile device technology to continuously collect patient-reported symptoms during radiation therapy for head and neck cancer: A prospective feasibility study. Advances in radiation Oncology 1, 2 (2016), 115–121.

IBGE. 2022. Brasil/Pernambuco/Jaboatão dos Guararapes. Retrieved November 9, 2022 from [link]

Ron Jeffries, Ann Anderson, and Chet Hendrickson. 2001. Extreme programming installed. Addison-Wesley Professional.

Ned Levine. 2006. Crime mapping and the Crimestat program. Geographical analysis 38, 1 (2006), 41–56.

Albertino Alexandre Maciel Filho, Cicero Dedice Góes Jr, Jacira Azevedo Cancio, Mara Lúcia Oliveira, and Silvano Silvério da Costa. 1999. Indicadores de vigilância ambiental em saúde. Informe epidemiológico do SUS 8, 3 (1999), 59–66.

Gisela Mascarenhas, Gl Oliveira, Roberto Mauro de Oliveira Barbosa, Sheila Rezende, et al. 2004. 100 anos de Saúde Pública: a Visão da Funasa. (2004).

Christopher L Merkord, Yi Liu, Abere Mihretie, Teklehaymanot Gebrehiwot, Worku Awoke, Estifanos Bayabil, Geoffrey M Henebry, Gebeyaw T Kassa, Mastewal Lake, and Michael C Wimberly. 2017. Integrating malaria surveillance with climate data for outbreak detection and forecasting: the EPIDEMIA system. Malaria journal 16, 1 (2017), 1–15.

Antônio Miguel Vieira Monteiro, G Câmara, MS Carvalho, and S Druck. 2004. Análise espacial de dados geográficos. Brasília: Embrapa (2004).

Paula Moraga. 2017. SpatialEpiApp: A Shiny web application for the analysis of spatial and spatio-temporal disease data. Spatial and spatio-temporal epidemiology 23 (2017), 47–57.

Abdulkader Murad. 2018. Planning and location of health care services in Jeddah City, Saudi Arabia: Discussion of the constructive use of geographical information systems. Geospatial health 13, 2 (2018).

Jairnilson Silva Paim, Claudia Maria de Rezende Travassos, Celia Maria de Almeida, Ligia Bahia, James Macinko, et al. 2011. O sistema de saúde brasileiro: história, avanços e desafios. (2011).

Iverson Luís Pereira, Ana Juriti Guimarães, Josué Silva Nascimento, Severino José Costa Neto, and Ricardo André Cavalcante de Souza. 2017. Aplicação do design thinking para educadores no desenvolvimento de uma solução inovadora. In Anais do XXIII Workshop de Informática na Escola. SBC, 422–431.

Irene Mari Pereira, Daiana Bonfim, Heloisa Helena Ciqueto Peres, Ricardo Fernandes Góes, and Raquel Rapone Gaidzinski. 2017. Mobile application for data collection in health research. Acta Paulista de Enfermagem 30 (2017), 479–488.

Floarea Pitu and Nicoleta Cristina Gaitan. 2020. Surveillance of SigFox technology integrated with environmental monitoring. In 2020 International Conference on Development and Application Systems (DAS). IEEE, 69–72.

Plotly. 2022. Mapbox density heatmap in JavaScript. Retrieved November 14, 2022 from https://plotly.com/javascript/mapbox-density-heatmaps/

Maurício Rizzatti, Natália Lampert Batista, Pedro Leonardo Cezar Spode, Douglas Bouvier Erthal, Rivaldo Mauro de Faria, Anderson Augusto Volpato Scotti, Romario Trentin, Carina Petsch, Iago Turba Costa, and João Henrique Quoos. 2020. Mapeamento da COVID-19 por meio da densidade de Kernel. Metodologias e Aprendizado 3 (2020), 44–53.

Ken Schwaber. 1997. Scrum development process. In Business object design and implementation. Springer, 117–134.

SEBRAE. 2022. Entenda o design thinking. Retrieved November 11, 2022 from [link]

Narushige Shiode, Shino Shiode, Elodie Rod-Thatcher, Sanjay Rana, and Peter Vinten-Johansen. 2015. The mortality rates and the space-time patterns of John Snow's cholera epidemic map. International journal of health geographics 14, 1 (2015), 1–15.

David O Soti, Stephen N Kinoti, Ahmeddin H Omar, John Logedi, Teresa K Mwendwa, Zahra Hirji, and Santiago Ferro. 2015. Feasibility of an innovative electronic mobile system to assist health workers to collect accurate, complete and timely data in a malaria control programme in a remote setting in Kenya. Malaria journal 14, 1 (2015), 1–8.

Trello. 2022. Manage Your Team's Projects From Anywhere. Retrieved November 27, 2022 from https://trello.com/

Mauricio Vianna, Ysmar Vianna, Isabel K Adler, Brenda Lucena, and Beatriz Russo. 2012. Design thinking: inovação em negócios. Design Thinking (2012).

Michelle Wong, Craig Wolff, Natalie Collins, Liang Guo, Dan Meltzer, and Paul English. 2015. Development of a Web-based tool to collect and display water system customer service areas for public health action. Journal of Public Health Management and Practice 21 (2015), S44–S49.

Brian J Worton. 1989. Kernel methods for estimating the utilization distribution in home-range studies. Ecology 70, 1 (1989), 164–168.