{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T14:54:29Z","timestamp":1781621669339,"version":"3.54.5"},"reference-count":16,"publisher":"Sociedade Brasileira de Computa\u00e7\u00e3o","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"Research Context: This study proposed the optimization of the location of Primary Healthcare Units (UBS) in the municipality of Alegre-ES, using high-resolution population density data and real road network data. The research integrated Geographic Information Systems (GIS) and combinatorial optimization techniques to support local planning in public health. Scientific and\/or Practical Problem: The current distribution of UBS shows inequalities in access, resulting in longer distances traveled by the population, which compromises coverage, equity, and efficiency of basic healthcare delivery. Proposed Solution and\/or Analysis: The p-median model was applied, solved with CPLEX, to identify optimal locations for UBS, considering real urban road distances. Scenarios comparing the current situation and optimized relocations were evaluated using distance metrics. Related IS Theory: The theoretical foundation involves decision support systems in Information Systems, location models, and the integration of large geospatial datasets for public policy formulation. Research Method: The methodology included extraction and aggregation of population data from the Brazil: High Resolution Population Density \u2014 Meta dataset, calculation of distances via OpenStreetMap, modeling the pmedian problem with CPLEX, and statistical and cartographic analysis of the results. Summary of Results: The results demonstrated that the relocation of Primary Health Care Units would reduce the average distance traveled by the population in all scenarios. In the best-case scenario, the reduction would reach 40,02%, potentially increasing coverage and promoting greater equity in access to healthcare services. Contributions and Impact to IS area: The study contributed a reproducible pipeline integrating Big Geodata, OpenStreetMap, and exact optimization, strengthening the interface between Information Systems, public health, and urban planning, providing valuable tools for municipal managers.<\/jats:p>","DOI":"10.5753\/sbsi.2026.248334","type":"proceedings-article","created":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T13:24:57Z","timestamp":1777987497000},"page":"235-253","source":"Crossref","is-referenced-by-count":0,"title":["Optimized Proposed Location of Primary Healthcare Units: A Case Study in Alegre, Esp\u00edrito Santo, Brazil"],"prefix":"10.5753","author":[{"given":"Dalvan Ribeiro de","family":"Almeida","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dayan de Castro","family":"Bissoli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"3742","published-online":{"date-parts":[[2026,5,25]]},"reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"Beheshtifar, S. and Alimoahmmadi, A. (2015). A multiobjective optimization approach for location-allocation of clinics. International Transactions in Operational Research, 22(2):313\u2013328.","DOI":"10.1111\/itor.12088"},{"key":"2","doi-asserted-by":"crossref","unstructured":"Boeing, G. (2025). Modeling and analyzing urban networks and amenities with osmnx. Geographical Analysis. Published online ahead of print.","DOI":"10.2139\/ssrn.5236246"},{"key":"3","unstructured":"da Silva Lima, R. (2003). Bases para uma metodologia de apoio \u00e0 decis\u00e3o para servi\u00e7os de educa\u00e7\u00e3o e sa\u00fade sob a \u00f3tica dos transportes. Tese (doutorado em transportes), Escola de Engenharia de S\u00e3o Carlos, University of S\u00e3o Paulo, S\u00e3o Carlos. Acesso em: 2025-08-11."},{"key":"4","unstructured":"Facebook Connectivity Lab (2016). High resolution settlement layer (hrsl). Source imagery for HRSL \u00a9 2016 DigitalGlobe. Accessed 21\/08\/2025."},{"key":"5","doi-asserted-by":"crossref","unstructured":"Goudard, B., Oliveira, F., and Gerente, J. (2015). Evaluation of locations models for spatial distribution analysis of basic health units. Revista Brasileira de Cartografia, 67:15\u201334.","DOI":"10.14393\/rbcv67n1-44723"},{"key":"6","doi-asserted-by":"crossref","unstructured":"Hagberg, A. A., Schult, D. A., and Swart, P. J. (2008). Exploring network structure, dynamics, and function using networkx. In Varoquaux, G., Vaught, T., and Millman, J., editors, Proceedings of the 7th Python in Science Conference, pages 11 \u2013 15, Pasadena, CA USA.","DOI":"10.25080\/TCWV9851"},{"key":"7","doi-asserted-by":"crossref","unstructured":"Harris, M. and Haines, A. (2010). Brazil\u2019s family health programme. BMJ, 341:c4945. Editorial.","DOI":"10.1136\/bmj.c4945"},{"key":"8","unstructured":"IBGE (2022). Censo demogr\u00e1fico 2022. [link]<\/a>. Acesso em: 18 ago. 2025."},{"key":"9","unstructured":"IJSN, I. J. d. S. N. (1997). Projeto mapeamento de comunidades urbanas e rurais do esp\u00edrito santo. Technical report, Instituto Jones dos Santos Neves, Vit\u00f3ria, ES."},{"key":"10","unstructured":"Minist\u00e9rio da Sa\u00fade (2025). Saiba mais sobre a aten\u00e7\u00e3o prim\u00e1ria \u00e0 sa\u00fade (aps). [link]<\/a>. Acesso em: 23 set. 2025."},{"key":"11","unstructured":"Minist\u00e9rio da Sa\u00fade (Brasil) (2025). Cadastro nacional de estabelecimentos de sa\u00fade \u2013 cnes. Acesso em: 8 set. 2025."},{"key":"12","doi-asserted-by":"crossref","unstructured":"Mladenovi\u0107, N., Brimberg, J., Hansen, P., and Moreno-P\u00e9rez, J. A. (2007). The p-median problem: A survey of metaheuristic approaches. European Journal of Operational Research, 179(3):927\u2013939.","DOI":"10.1016\/j.ejor.2005.05.034"},{"key":"13","doi-asserted-by":"crossref","unstructured":"Oliveira, A. M. d., Brito, C. A. O., and Oliveira, L. N. A. d. (2019). Analysis of the urban space distribution of family health units and basic health unit in santana fair. Brazilian Journal of Development, 5(7):8534\u20138543.","DOI":"10.34117\/bjdv5n7-067"},{"key":"14","doi-asserted-by":"crossref","unstructured":"Santana, G. U. S. and dos Santos, G. F. (2024). Location and health in an inequal city: Evidence for salvador in brazil. Regional Science Policy & Practice, 16(7):100047.","DOI":"10.1016\/j.rspp.2024.100047"},{"key":"15","doi-asserted-by":"crossref","unstructured":"Soares, D. d. J., Vilasb\u00f4as, A. L. Q., Souza, M. K. B. d., and Bispo J\u00fanior, J. P. (2024). Acessibilidade aos servi\u00e7os de aten\u00e7\u00e3o prim\u00e1ria \u00e0 sa\u00fade em munic\u00edpios rurais do brasil. Sa\u00fade em Debate, 48(142):e8945.","DOI":"10.1590\/2358-289820241428945i"},{"key":"16","doi-asserted-by":"crossref","unstructured":"Tiecke, T. G., Liu, X., Zhang, A., Gros, A., Li, N., Yetman, G., Kilic, T., Murray, S., Blankespoor, B., Prydz, E. B., and Dang, H.-A. H. (2017). Mapping the world population one building at a time.","DOI":"10.1596\/33700"}],"event":{"name":"Simp\u00f3sio Brasileiro de Sistemas de Informa\u00e7\u00e3o","location":"Brasil","acronym":"SBSI 2026","number":"22"},"container-title":["Anais do XXII Simp\u00f3sio Brasileiro de Sistemas de Informa\u00e7\u00e3o (SBSI 2026)"],"original-title":[],"link":[{"URL":"https:\/\/sol.sbc.org.br\/index.php\/sbsi\/article\/download\/41325\/41095","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/sol.sbc.org.br\/index.php\/sbsi\/article\/download\/41325\/41095","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T14:17:04Z","timestamp":1781619424000},"score":1,"resource":{"primary":{"URL":"https:\/\/sol.sbc.org.br\/index.php\/sbsi\/article\/view\/41325"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,25]]},"references-count":16,"URL":"https:\/\/doi.org\/10.5753\/sbsi.2026.248334","relation":{},"subject":[],"published":{"date-parts":[[2026,5,25]]}}}