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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.
  • Ilacqua, Roberto Cardoso; Faculdade de Medicina do ABC. Setor de Pós-Graduação, Pesquisa e Inovação. Santo André. BR
  • Chaves, Leonardo Suveges Moreira; Universidade de São Paulo. Faculdade de Saúde Pública. Departamento de Epidemiologia. São Paulo. BR
  • Bergo, Eduardo Sterlino; Secretaria de Estado da Saúde de São Paulo. Superintendência de Controle de Endemias. Araraquara. BR
  • Conn, Jan E; The Wadsworth Center. New York State Department of Health. Slingerlands. US
  • Sallum, Maria Anice Mubeb; Universidade de São Paulo. Faculdade de Saúde Pública. Departamento de Epidemiologia. São Paulo. BR
  • Laporta, Gabriel Zorello; Faculdade de Medicina do ABC. Setor de Pós-Graduação, Pesquisa e Inovação. Santo André. BR
Mem. Inst. Oswaldo Cruz ; 113(9): e170522, 2018. tab, graf
Article in English | LILACS | ID: biblio-955127
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.
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Full text: Available Index: LILACS (Americas) Main subject: Geographic Information Systems / Malaria Type of study: Prognostic study Limits: Humans Country/Region as subject: South America / Brazil Language: English Journal: Mem. Inst. Oswaldo Cruz Journal subject: Tropical Medicine / Parasitology Year: 2018 Type: Article / Project document Affiliation country: Brazil / United States Institution/Affiliation country: Faculdade de Medicina do ABC/BR / Secretaria de Estado da Saúde de São Paulo/BR / The Wadsworth Center/US / Universidade de São Paulo/BR

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Full text: Available Index: LILACS (Americas) Main subject: Geographic Information Systems / Malaria Type of study: Prognostic study Limits: Humans Country/Region as subject: South America / Brazil Language: English Journal: Mem. Inst. Oswaldo Cruz Journal subject: Tropical Medicine / Parasitology Year: 2018 Type: Article / Project document Affiliation country: Brazil / United States Institution/Affiliation country: Faculdade de Medicina do ABC/BR / Secretaria de Estado da Saúde de São Paulo/BR / The Wadsworth Center/US / Universidade de São Paulo/BR