BACKGROUND: The pattern of spread of visceral leishmaniasis in Brazilian cities is poorly understood. METHODS: We used geographic information systems and spatial statistics to evaluate the distribution of 1061 cases of visceral leishmaniasis in Teresina, Brazil, in 1993 through 1996. RESULTS: A locally weighted (LOESS) regression model, which was fit as a smoothed function of spatial coordinates, demonstrated large-scale variation, with high incidence rates in peripheral neighborhoods that bordered forest land and pastures. Moran's I indicated small-scale variation and clustering up to 300 m, roughly the flight range of the sand fly vector. CONCLUSIONS: Spatial analytical techniques can identify high-risk areas for targeting control interventions.
BACKGROUND: The pattern of spread of visceral leishmaniasis in Brazilian cities is poorly understood. METHODS: We used geographic information systems and spatial statistics to evaluate the distribution of 1061 cases of visceral leishmaniasis in Teresina, Brazil, in 1993 through 1996. RESULTS: A locally weighted (LOESS) regression model, which was fit as a smoothed function of spatial coordinates, demonstrated large-scale variation, with high incidence rates in peripheral neighborhoods that bordered forest land and pastures. Moran's I indicated small-scale variation and clustering up to 300 m, roughly the flight range of the sand fly vector. CONCLUSIONS: Spatial analytical techniques can identify high-risk areas for targeting control interventions.
Authors: Amanda Gabriela de Carvalho; João Gabriel Guimarães Luz; Luane Dantas Rodrigues; João Victor Leite Dias; Cor Jesus Fernandes Fontes Journal: Pathog Glob Health Date: 2018-02-20 Impact factor: 2.894
Authors: Philip Bejon; Thomas N Williams; Anne Liljander; Abdisalan M Noor; Juliana Wambua; Edna Ogada; Ally Olotu; Faith H A Osier; Simon I Hay; Anna Färnert; Kevin Marsh Journal: PLoS Med Date: 2010-07-06 Impact factor: 11.069
Authors: Stela M Pereira; Gláucia M B Ambrosano; Karine L Cortellazzi; Elaine P S Tagliaferro; Carlos A Vettorazzi; Sílvio F B Ferraz; Marcelo C Meneghim; Antonio C Pereira Journal: Int J Environ Res Public Health Date: 2010-05-25 Impact factor: 3.390