| Revue: | Memorias do Instituto Oswaldo Cruz |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000420042 |
| ISSN: | 0074-0276 |
| Autores: | Ilacqua, Roberto Cardoso1 Chaves, Leonardo Suveges Moreira2 Bergo, Eduardo Sterlino3 Conn, Jan E4 Sallum, Maria Anice Mubeb2 Laporta, Gabriel Zorello1 |
| Instituciones: | 1Faculdade de Medicina do ABC, Setor de Pos-Graduacao, Pesquisa e Inovacao, Santo Andre, Sao Paulo. Brasil 2Universidade de Sao Paulo, Faculdade de Saude Publica, Sao Paulo. Brasil 3Secretaria de Estado da Saude de Sao Paulo, Superintendencia de Controle de Endemias, Araraquara, Sao Paulo. Brasil 4New York State Department of Health, The Wadsworth Center, Slingerlands, New York. Estados Unidos de América |
| Año: | 2018 |
| Volumen: | 113 |
| Número: | 9 |
| País: | Brasil |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Experimental, aplicado |
| Resumen en inglés | 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 |
| Disciplinas: | Medicina |
| Palabras clave: | Salud pública, Paludismo, Vigilancia sanitaria, Sistemas de Información Geográfica (SIG), Percepción remota, Epidemiología |
| Keyword: | Public health, Malaria, Sanitary surveillance, Geographic Information Systems (GIS), Remote sensing, Epidemiology |
| Texte intégral: | Texto completo (Ver HTML) |
