{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,8]],"date-time":"2025-11-08T11:07:57Z","timestamp":1762600077939,"version":"build-2065373602"},"reference-count":30,"publisher":"PAGEPress Publications","issue":"2","license":[{"start":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T00:00:00Z","timestamp":1761523200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Geospat Health"],"abstract":"<jats:p>This study is a quantitative, ecological, descriptive, retrospective, cross-sectional study on dengue in the state of Para\u00edba in north-eastern Brazil aimed to compare the performance of spatial clustering methods based on epidemiological data. The population consisted of all people residing in the state, and the sample was all dengue fever cases reported annually between 2018 and 2022. The residence localization of people suffering from dengue fever was used to identify the spatial distribution of this infection in the Para\u00edba State. Scan Statistics, Besag-Newell, Getis-Ord, MStatistics and Tango were used and it was observed that the methods Getis-Ord, M-Statistic and Tango showed large spatial clusters, which included municipalities with high and low values. Scan Statistics and Besag-Newell\u2019s method also showed most of these clusters, with Scan Statistic providing better agreement with the high Standardized Incidence Ratio (SIR) than Besag-Newell\u2019s method. In conclusion, Scan statistic outperformed the other methods by identifying significant clusters in greater proportion in all study periods when mapping using Rigorous Impact Evaluation (RIE) was applied. However, it is necessary to consider each method\u2019s assumptions to select the most appropriate method for each application. Thus, this study provides relevant elements to help decision makers manage and prevent diseases, such as dengue fever and other vector-borne diseases.<\/jats:p>","DOI":"10.4081\/gh.2025.1393","type":"journal-article","created":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T14:32:58Z","timestamp":1761575578000},"source":"Crossref","is-referenced-by-count":0,"title":["Evaluation of spatial cluster detection methods for dengue fever in the state of Paraiba, Brazil"],"prefix":"10.4081","volume":"20","author":[{"given":"Alline","family":"Oliveira do Nascimento Veloso","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9041-7114","authenticated-orcid":false,"given":"Leonardo Wanderley","family":"Lopes","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ronei Marcos","family":"De Moraes","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"2549","published-online":{"date-parts":[[2025,10,27]]},"reference":[{"key":"33154","doi-asserted-by":"publisher","DOI":"10.2307\/2982708"},{"key":"33155","unstructured":"Brazilian Institute of Geography and Statistics (IBGE), 2015. Digital grid of the state of Para\u00edba: Situation in 2015. Accessed: July 2024. Available from: https:\/\/mapas.ibge.gov.br\/bases-e-referenciais\/basescartograficas\/malhas-digitais"},{"key":"33156","unstructured":"Brazilian Institute of Geography and Statistics (IBGE). (2021). Estimates of the resident population in Brazilian municipalities in 2021. Rio de Janeiro. Accessed: July 2024. Available from: https:\/\/www.ibge.gov.br\/en\/statistics\/social\/population\/18176-populationprojection.html?=&t=resultados"},{"key":"33157","unstructured":"Brazilian Institute of Geography and Statistics (IBGE). (2022). Cities and States \u2013 Para\u00edba. Accessed: July 2024. Available from: https:\/\/www.ibge.gov.br\/cidades-e-estados\/pb.html"},{"key":"33158","doi-asserted-by":"publisher","DOI":"10.1186\/s12942-016-0072-6"},{"key":"33159","doi-asserted-by":"publisher","DOI":"10.1007\/s10651-005-1515-6"},{"key":"33160","doi-asserted-by":"publisher","DOI":"10.1590\/s1518-8787.2017051006889"},{"key":"33161","doi-asserted-by":"publisher","DOI":"10.1007\/s44196-025-00816-5"},{"key":"33162","doi-asserted-by":"publisher","DOI":"10.3390\/v12080829"},{"key":"33163","doi-asserted-by":"publisher","DOI":"10.4081\/gh.2021.1043"},{"key":"33164","doi-asserted-by":"publisher","DOI":"10.4081\/gh.2022.1023"},{"key":"33165","doi-asserted-by":"publisher","DOI":"10.1080\/03610929708831995"},{"key":"33166","doi-asserted-by":"publisher","DOI":"10.1002\/sim.4780140809"},{"key":"33167","doi-asserted-by":"publisher","DOI":"10.1002\/9780470035771"},{"key":"33168","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1967.10482916"},{"key":"33169","doi-asserted-by":"publisher","DOI":"10.7322\/jhgd.v29.9416"},{"key":"33170","unstructured":"Lucena SEF, Moraes RM, 2009. An\u00e1lise do desempenho dos m\u00e9todos Scan e Besag e Newell para identifica\u00e7\u00e3o de conglomerados espaciais do dengue no munic\u00edpio de Jo\u00e3o Pessoa entre os meses de janeiro de 2004 e dezembro de 2005. Bol Ci\u00eanc Geod 15:16280."},{"key":"33171","doi-asserted-by":"publisher","DOI":"10.1590\/0102-311x00126520"},{"key":"33172","doi-asserted-by":"publisher","DOI":"10.1590\/1414-462x202230040082"},{"key":"33173","doi-asserted-by":"publisher","DOI":"10.1186\/1476-072X-8-66"},{"key":"33174","doi-asserted-by":"publisher","DOI":"10.1186\/1476-072X-8-20"},{"key":"33175","doi-asserted-by":"publisher","DOI":"10.1111\/j.1538-4632.1995.tb00912.x"},{"key":"33176","doi-asserted-by":"publisher","DOI":"10.1590\/1980-549720240017"},{"key":"33177","doi-asserted-by":"publisher","DOI":"10.36311\/jhgd.v32.12618"},{"key":"33178","doi-asserted-by":"publisher","DOI":"10.1590\/s1679-49742022000100018"},{"key":"33179","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-54235-0_20"},{"key":"33180","doi-asserted-by":"publisher","DOI":"10.1111\/j.1538-4632.2001.tb00445.x"},{"key":"33181","doi-asserted-by":"publisher","DOI":"10.1109\/DASA51403.2020.9317161"},{"key":"33182","unstructured":"Santos JPCD, Silva MMDD, Barros FRDS, Silva JBD, Tauil PL, 2022. ARBOALVO: Territorial stratification for defining areas for prompt response by surveillance and timely control of urban arbovirus infections. 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