02348nas a2200337   4500000000100000008004100001260001200042653001900054653001700073653001600090653002100106653002000127100001700147700001400164700002000178700002000198700001600218700001600234700001700250700001800267700001700285700001500302700001700317700001800334245014000352856006600492300000700558490000700565520142400572022001401996       2025                            d  bMDPI AG10aChagas disease10aEpidemiology10aEnvironment10aSpatial analysis10aPublic policies1 aMiranda CDSC1 aSouza BCD1 aFilgueiras TCGM1 ade Melo Neto JS1 aSilva ASCMD1 ada Silva HP1 ada Silva MVS1 aMiranda FIMCO1 aSarges EDSNF1 aAlthoff SL1 aNoguchi SKDT1 aGonçalves NV00aEpidemiological Scenario of American Trypanosomiasis and Its Socioeconomic and Environmental Relations, Pará, Eastern Brazilian Amazon  uhttps://www.mdpi.com/2414-6366/10/4/88/pdf?version=1743157316  a170 v103 a<jats:p>Chagas disease is a serious public health problem worldwide. In Brazil, the state of Pará 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 Pará 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 Pará. 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 Belém 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>  a2414-6366