Humoral immune responses against the malaria vaccine candidate antigen Plasmodium vivax AMA-1 and IL-4 gene polymorphisms in individuals living in an endemic area of the Brazilian Amazon

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Molecular and serological detection of Babesia Bovis and Babesia Bigemina in cattle in the Rio de Janeiro, Brazil

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Detection of an untyped strain of bovine respiratory syncytial virus in a dairy herd

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

First molecular characterization of Cryptosporidium spp. infecting buffalo calves in Brazil

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

How many parasites species a frog might have? determinants of parasite diversity in South American anurans

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

First genetic identification of Cryptosporidium parvum subtype IIaA14G2R1in beef cattle in Brazil

The presence of Cryptosporidium spp. in a cattle herd registered with an outbreak of diarrhea was investigated and the the molecular subtyping of Cryptosporidium parvum was characterized. Fecal samples from 85 Nellore beef cattle (Bos indicus) were collected and examined with Ziehl-Neelsen modified staining method. Fifty-four cattle (63.52%) had Cryptosporidium spp. oocysts in their feces. Fragments of genes encoding the 18S ribosomal RNA subunit and a 60-kDa glycoprotein (gp60) were amplified by nested PCR accomplished in the 11 most heavily parasitized samples, and the amplicons were sequenced. Eight of the 11 analyzed samples were positive for 18S rRNA sequences and identified monospecific infections with C. parvum. Seven samples were positive for gp60 and identified subtypes IIaA15G2R1 (6/11) and IIaA14G2R1 (1/11). This report is the first for C. parvum subtype IIaA14G2R1 in beef cattle in Brazil.

Validação diagnóstica para a detecção de Cryptosporidium spp. em bovinos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Indução de resistência a Tomato severe rugose virus e Tomato chlorosis virus em tomateiro determinado

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Modelagem numérica do escoamento em válvulas de compressores alternativos pelo método da fronteira imersa com refinamento adaptativo

Pós-graduação em Engenharia Mecânica - FEIS

Filogeografia de Nasutitermes corniger (Isoptera: Termitidae: Nasutitermitinae) na região Neotropical

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Modeling spatial distribution of cancer incidence in Cordoba, Argentina

Background: Cancer is the second leading cause of death in Argentina, and there is little knowledge about its incidence. The first study based on population-based cancer registry described spatial incidence and indicated that there existed at least county-level aggregation. The aim of the present work is to model the incidence patterns for the most incidence cancer in Córdoba Province, Argentina, using information from the Córdoba Cancer Registry by performing multilevel mixed model approach to deal with dependence and unobserved heterogeneity coming from the geo-reference cancer occurrence. Methods: Standardized incidence rates (world standard population) (SIR) by sex based on 5-year age groups were calculated for 109 districts nested on 26 counties for the most incidence cancers in Cordoba using 2004 database. A Poisson twolevel random effect model representing unobserved heterogeneity between first level-districts and second level-counties was fitted to assess the spatial distribution of the overall and site specific cancer incidence rates. Results: SIR cancer at Córdoba province shown an average of 263.53±138.34 and 200.45±98.30 for men and women, respectively. Considering the ratio site specific mean SIR to the total mean, breast cancer ratio was 0.25±0.19, prostate cancer ratio was 0.12±0.10 and lower values for lung and colon cancer for both sexes. The Poisson two-level random intercepts model fitted for SIR data distributed with overdispersion shown significant hierarchical structure for the cancer incidence distribution. Conclusions: a strong spatial-nested effect for the cancer incidence in Córdoba was observed and will help to begin the study of the factors associated with it.

Quais são os fatores que estruturam as comunidades de girinos no pantanal em diferentes escalas e sub-regiões?

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Modelos lineares generalizados bayesianos para dados longitudinais

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Detecção molecular de Ehrlichia canis em cães e em órgãos de seus respectivos carrapatos

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)