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A method for estimating the deforestation timeline in rural settlements in a scenario of malaria transmission in frontier expansion in the Amazon Region.
Ilacqua, Roberto Cardoso; Chaves, Leonardo Suveges Moreira; Bergo, Eduardo Sterlino; Conn, Jan E; Sallum, Maria Anice Mubeb; Laporta, Gabriel Zorello.
Afiliação
  • Ilacqua RC; Faculdade de Medicina do ABC, Setor de Pós-Graduação, Pesquisa e Inovação, Santo André, SP, Brasil.
  • Chaves LSM; Universidade de São Paulo, Faculdade de Saúde Pública, Departamento de Epidemiologia, São Paulo, SP, Brasil.
  • Bergo ES; Secretaria de Estado da Saúde de São Paulo, Superintendência de Controle de Endemias, Araraquara, SP, Brasil.
  • Conn JE; The Wadsworth Center, New York State Department of Health, Slingerlands, NY, USA.
  • Sallum MAM; University at Albany, State University of New York, Department of Biomedical Sciences, School of Public Health, Albany, NY, USA.
  • Laporta GZ; Universidade de São Paulo, Faculdade de Saúde Pública, Departamento de Epidemiologia, São Paulo, SP, Brasil.
Mem Inst Oswaldo Cruz ; 113(9): e170522, 2018 Jul 23.
Article em En | MEDLINE | ID: mdl-30043836
ABSTRACT
The Malaria Frontier Hypothesis (MFH) is the current model for predicting malaria emergence in the Brazilian Amazon. It has two important dimensions, 'settlement time' and 'malaria incidence', and its prediction are malaria incidence peaks five years after the initiation of human settlement and declines towards zero after an estimated 10 years. Although MFH is currently accepted, it has been challenged recently. Herein, we described a novel method for estimating settlement timeline by using remote sensing technology integrated in an open-software geographic information system. Surprisingly, we found that of the majority of the rural settlements with high malaria incidence are more than 10 years old.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Florestas / Conservação dos Recursos Naturais / Malária Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Florestas / Conservação dos Recursos Naturais / Malária Idioma: En Ano de publicação: 2018 Tipo de documento: Article