25/11/2021 - 14:00 - 15:10
COC 68 - PADRÕES ESPACIAIS E FATORES RELACIONADOS A ARBOVIROSES |
32899 - SPATIAL EPIDEMIOLOGY AND IDENTIFICATION OF LANDSCAPE CORRIDORS OF YELLOW FEVER IN BRAZIL
ANDRÉA SOBRAL - ENSP/FIOCRUZ, PAULO CHAGASTELLES SABROZA - ENSP/FIOCRUZ, ANDRÉ REYNALDO SANTOS PÉRISSÉ - ENSP/FIOCRUZ, MARIA HELENA FRANCO MORAIS - DIZO-BELO HORIZONTE/MG, ANA PAULA DA COSTA RESENDES - ENSP/FIOCRUZ, LUIZ FELIPE ALMEIDA FURTADO - ENSP/FIOCRUZ, WALDEMIR PAIXÃO VARGAS - ENSP/FIOCRUZ, REINALDO SOUZA-SANTOS - ENSP/FIOCRUZ
Objective: To apply spatial epidemiological methods to identify landscape corridors capable of supporting Yellow Fever (YF) virus dispersion, and spatial spread of the disease in the state of Minas Gerais, Brazil. Methods: Epidemiological analysis of YF in humans and Non-human-Primates (NHP) epizootics from 2016 to 2018. Buffers were generated around the forest and urban characteristics defined from MapBiomas thematic maps of land use and cover. NHP cases and epizootics were georeferenced inside the buffers. Landscape corridors were classified using the eCognition software. Kernel estimation was used to identify areas with the highest intensity of landscape corridors. The Moran Local Bivariate Index was applied between human cases and confirmed or undetermined NHP epizootics and the number and average of landscape corridor areas. Results: Between 2016 and 2018, were reported 975 cases of YF, with 52% in 2018 only. Concerning NHP epizootics, there were 2,424 records, and 576 confirmed for YF. Among 853 municipalities, 190 (22.3%) had records of cases of the disease. The majority of human cases and NHP epidemics are concentrated in the areas with the highest intensity of landscape corridors. The Moran Local Bivariate Index identified correlations between the highest number of human cases and the highest number of corridors, and between epizootics and the average of the corridor area. The methodological approach used allowed the identification of the main risk areas, mapping the possible path of the virus. This study can serve as a decision support tool, helping to define priority areas for vaccination and disease vector control.
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