Francisco Chiaravalloti Neto

Learn More
The dengue virus has a single-stranded positive-sense RNA genome of approximately 10.700 nucleotides with a single open reading frame that encodes three structural (C, prM, and E) and seven nonstructural (NS1, NS2A, NS2B, NS3, NS4A, NS4B, and NS5) proteins. It possesses four antigenically distinct serotypes (DENV 1-4). Many phylogenetic studies address(More)
OBJECTIVE To perform spatial analysis on dengue transmission in a medium-sized city in the interior of the State of São Paulo, Brazil, covering the period from September 1990 to August 2002. METHODS Autochthonous cases with confirmation by laboratory tests were utilized. Population data on the city of São José do Rio Preto were obtained from the Brazilian(More)
OBJECTIVE To identify areas of vulnerability to new cases of HIV/tuberculosis (TB) co-infection. METHODS An ecological descriptive study was conducted by georeferencing new HIV/TB cases reported in the city of Ribeirão Preto, Southeastern Brazil, in 2006. Data were obtained from the São Paulo state information system for TB notification (TB-WEB) database.(More)
OBJECTIVE To apply the temporal-spatial model to assess high-risk areas for the occurrence of dengue fever. METHODS A total of 11,989 confirmed, autochthonous dengue fever cases, geocoded by address in the city of São José do Rio Preto (Southeastern Brazil), between September of 2001 and August of 2006, were included in the study. Frequency, duration and(More)
OBJECTIVE To assess the association between Aedes aegypti larvae infestation rates and socioeconomic factors. METHODS Infestation rates in the urban area of the city of São José do Rio Preto, Southeastern Brazil, were calculated in January of 2005 and subsequently geocoded by address. The urban census tracts were grouped by means of main component(More)
BACKGROUND Although the detection rate is decreasing, the proportion of new cases with WHO grade 2 disability (G2D) is increasing, creating concern among policy makers and the Brazilian government. This study aimed to identify spatial clustering of leprosy and classify high-risk areas in a major leprosy cluster using the SatScan method. METHODS Data were(More)
  • 1