{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T05:15:43Z","timestamp":1787030143844,"version":"build-2736575974"},"reference-count":75,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T00:00:00Z","timestamp":1743120000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["TropicalMed"],"abstract":"<jats:p>Chagas disease is a serious public health problem worldwide. In Brazil, the state of Par\u00e1 has the largest number of reported cases. This article analyzes the spatial distribution of this disease and its relationship with socioeconomic, environmental, and public policy health variables in three mesoregions in the Par\u00e1 state from 2013 to 2022. This ecological study used secondary data obtained from official Brazilian agencies. Spatial analysis was carried out using the flow, kernel, and bivariate global Moran techniques expressed in thematic maps. A total of 3664 cases of the disease were confirmed, with the highest number of cases being reported in the northeast of Par\u00e1. A seasonal pattern of the disease, an epidemiological profile similar to other diseases in the Amazon region, and the spatial dependence between the disease prevalence and socioeconomic indicators were observed. The most intense movement of patients for treatment was to the Bel\u00e9m metropolitan mesoregion, which has the majority of the health services and professionals. The disease showed an inhomogeneous pattern of cases in terms of the spatial distribution, with a direct relationship between areas with a higher number of cases and those with human clusters. The socioenvironmental origins of the disease transcend mesoregion boundaries and stem from the historically unsustainable development model in the Amazon.<\/jats:p>","DOI":"10.3390\/tropicalmed10040088","type":"journal-article","created":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T10:54:48Z","timestamp":1743159288000},"page":"88","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Epidemiological Scenario of American Trypanosomiasis and Its Socioeconomic and Environmental Relations, Par\u00e1, Eastern Brazilian Amazon"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1913-7176","authenticated-orcid":false,"given":"Claudia do Socorro Carvalho","family":"Miranda","sequence":"first","affiliation":[{"name":"Laboratory of Epidemiology and Geoprocessing of Amazon, University of the State of Par\u00e1 (UEPA), Bel\u00e9m 66050-540, Brazil"},{"name":"Programa de P\u00f3s-Gradua\u00e7\u00e3o em Sa\u00fade Coletiva na Amaz\u00f4nia, Federal University of Par\u00e1 (UFPA), Bel\u00e9m 66075-110, Brazil"},{"name":"Programa de P\u00f3s-Gradua\u00e7\u00e3o em Intelig\u00eancia Territorial e Sustentabilidade, Centro Universit\u00e1rio do Par\u00e1 (Cesupa), Bel\u00e9m 66060-230, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7202-1423","authenticated-orcid":false,"given":"Bruna Costa de","family":"Souza","sequence":"additional","affiliation":[{"name":"Laboratory of Epidemiology and Geoprocessing of Amazon, University of the State of Par\u00e1 (UEPA), Bel\u00e9m 66050-540, Brazil"},{"name":"Programa de P\u00f3s-Gradua\u00e7\u00e3o em Sa\u00fade Coletiva na Amaz\u00f4nia, Federal University of Par\u00e1 (UFPA), Bel\u00e9m 66075-110, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9981-1580","authenticated-orcid":false,"given":"Tainara Carvalho 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