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Volume 21, Number 10—October 2015
Dispatch

Spatiotemporal Patterns of Schistosomiasis-Related Deaths, Brazil, 2000–2011

Francisco Rogerlândio Martins-Melo, Marta Cristhiany Cunha Pinheiro, Alberto Novaes Ramos, Carlos Henrique Alencar, Fernando Schemelzer de Moraes Bezerra, and Jorg HeukelbachComments to Author 
Author affiliations: Federal Institute of Education, Science and Technology of Ceará, Caucaia, Brazil (F.R. Martins-Melo); Federal University of Ceará, Fortaleza, Brazil (F.R. Martins-Melo, M.C.C. Pinheiro, A.N. Ramos Jr, C.H. Alencar, F.S.M. Bezerra, J. Heukelbach); James Cook University, Townsville, Queensland, Australia (J. Heukelbach)

Main Article

Figure 1

Spatial distribution of average annual crude (A) and Bayesian-smoothed (B) rates of schistosomiasis-related deaths, by municipality of residence, Brazil, 2000–2011. Empirical Bayesian smoothing estimates of rates of schistosomiasis-related deaths were performed by using TerraView software version 4.2 (Instituto Nacional de Pesquisas Espaciais, São Paulo, Brazil). Data were mapped by using ArcGIS software version 9.3 (Esri, Redlands, CA, USA). In 2010, Brazil was divided into 5 geographic regions

Figure 1. Spatial distribution of average annual crude (A) and Bayesian-smoothed (B) rates of schistosomiasis-related deaths, by municipality of residence, Brazil, 2000–2011. Empirical Bayesian smoothing estimates of rates of schistosomiasis-related deaths were performed by using TerraView software version 4.2 (Instituto Nacional de Pesquisas Espaciais, São Paulo, Brazil). Data were mapped by using ArcGIS software version 9.3 (Esri, Redlands, CA, USA). In 2010, Brazil was divided into 5 geographic regions (South, Southeast, Central-West, North, and Northeast), 27 Federal Units (26 states and 1 Federal District), and 5,565 municipalities.

Main Article

Page created: September 22, 2015
Page updated: September 22, 2015
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