OBJECTIVE: To describe patterns of spatial distribution of mortality associated with Chagas' disease in Brazil. METHODS: Nationwide study of all deaths in Brazil from 1999 to 2007, where Chagas' disease was recorded as a cause of death. Data were obtained from the national Mortality Information System of the Ministry of Health. We calculated the mean mortality rate for each municipality of residence in three-year intervals and the entire period. Empirical Bayes smoothing was used to minimise random variation in mortality rates because of the population size in the municipalities. To evaluate the existence of spatial autocorrelation, global and local Moran's I indices were used. RESULTS: The nationwide mean mortality rate associated with Chagas' disease was 3.37/100 000 inhabitants/year, with a maximum of 138.06/100 000 in one municipality. Independently from the statistical approach, spatial analysis identified a large cluster of high risk for mortality by Chagas' disease, involving nine states in the Central region of Brazil. CONCLUSION: This study defined geographical priority areas for the management of Chagas' disease and consequently reducing disease-associated mortality in Brazil. Different spatial-analytical approaches can be integrated to provide data for planning, monitoring and evaluating specific intervention measures.
OBJECTIVE: To describe patterns of spatial distribution of mortality associated with Chagas' disease in Brazil. METHODS: Nationwide study of all deaths in Brazil from 1999 to 2007, where Chagas' disease was recorded as a cause of death. Data were obtained from the national Mortality Information System of the Ministry of Health. We calculated the mean mortality rate for each municipality of residence in three-year intervals and the entire period. Empirical Bayes smoothing was used to minimise random variation in mortality rates because of the population size in the municipalities. To evaluate the existence of spatial autocorrelation, global and local Moran's I indices were used. RESULTS: The nationwide mean mortality rate associated with Chagas' disease was 3.37/100 000 inhabitants/year, with a maximum of 138.06/100 000 in one municipality. Independently from the statistical approach, spatial analysis identified a large cluster of high risk for mortality by Chagas' disease, involving nine states in the Central region of Brazil. CONCLUSION: This study defined geographical priority areas for the management of Chagas' disease and consequently reducing disease-associated mortality in Brazil. Different spatial-analytical approaches can be integrated to provide data for planning, monitoring and evaluating specific intervention measures.
Authors: Gláucia Maria Moraes de Oliveira; Luisa Campos Caldeira Brant; Carisi Anne Polanczyk; Deborah Carvalho Malta; Andreia Biolo; Bruno Ramos Nascimento; Maria de Fatima Marinho de Souza; Andrea Rocha De Lorenzo; Antonio Aurélio de Paiva Fagundes Júnior; Beatriz D Schaan; Fábio Morato de Castilho; Fernando Henpin Yue Cesena; Gabriel Porto Soares; Gesner Francisco Xavier Junior; Jose Augusto Soares Barreto Filho; Luiz Guilherme Passaglia; Marcelo Martins Pinto Filho; M Julia Machline-Carrion; Marcio Sommer Bittencourt; Octavio M Pontes Neto; Paolo Blanco Villela; Renato Azeredo Teixeira; Roney Orismar Sampaio; Thomaz A Gaziano; Pablo Perel; Gregory A Roth; Antonio Luiz Pinho Ribeiro Journal: Arq Bras Cardiol Date: 2022-01 Impact factor: 2.000
Authors: Gláucia Maria Moraes de Oliveira; Luisa Campos Caldeira Brant; Carisi Anne Polanczyk; Andreia Biolo; Bruno Ramos Nascimento; Deborah Carvalho Malta; Maria de Fatima Marinho de Souza; Gabriel Porto Soares; Gesner Francisco Xavier Junior; M Julia Machline-Carrion; Marcio Sommer Bittencourt; Octavio M Pontes Neto; Odilson Marcos Silvestre; Renato Azeredo Teixeira; Roney Orismar Sampaio; Thomaz A Gaziano; Gregory A Roth; Antonio Luiz Pinho Ribeiro Journal: Arq Bras Cardiol Date: 2020-09 Impact factor: 2.667
Authors: Sandra M De Urioste-Stone; Pamela M Pennington; Elizabeth Pellecer; Teresa M Aguilar; Gabriela Samayoa; Hugo D Perdomo; Hugo Enríquez; José G Juárez Journal: Trans R Soc Trop Med Hyg Date: 2015-02 Impact factor: 2.184
Authors: Francisco Rogerlândio Martins-Melo; Alberto Novaes Ramos; Carlos Henrique Alencar; Jorg Heukelbach Journal: Bull World Health Organ Date: 2015-11-24 Impact factor: 9.408
Authors: Francisco Rogerlândio Martins-Melo; Mauricélia da Silveira Lima; Alberto Novaes Ramos; Carlos Henrique Alencar; Jorg Heukelbach Journal: PLoS One Date: 2014-04-03 Impact factor: 3.240