Luciana Lobato Cardim

Estatística espacial de varredura na detecção de áreas de risco para a cisticercose bovina no estado da Bahia

In order to identify the spatial geographical distribution of the infected animals and measure the areas under risk of contracting bovine cysticercosis, spatial scan analysis was used to identify clusters of positive bovine for Cysticercus bovis recorded in the period from 2006 to 2007, from six slaughterhouses under the Federal Inspection Service. The number of slaughtered cattle was 825,951, of which (0.7%) 5,395 were diagnosed as positive for the disease, through post-mortem inspection. The spatial scan analysis through the likelihood ratio showed the spatial distribution of bovine cysticercosis concentrated in defined a geographic area less likely to have occurred by chance, with an estimated risk of 13.6. This specific area encompasses 101 municipalities that belong to Itapetinga, Litoral Sul, Medio Rio de Contas, Vitoria da Conquista and Extremo Sul Territories of Identification in Bahia State.

Trends and factors associated with dengue mortality and fatality in Brazil

INTRODUCTION Studies that generate information that may reduce the dengue death risk are essential. This study analyzed time trends and risk factors for dengue mortality and fatality in Brazil from 2001 to 2011. METHODS Time trends for dengue mortality and fatality rates were analyzed using simple linear regression. Associations between the dengue mortality and the case fatality rates and socioeconomic, demographic, and health care indicators at the municipality level were analyzed using negative binomial regression. RESULTS The dengue hemorrhagic fever case fatality rate increased in Brazil from 2001 to 2011 (β=0.67; p=0.036), in patients aged 0-14 years (β=0.48; p=0.030) and in those aged ≥15 years (β=1.1; p<0.01). Factors associated with the dengue case fatality rate were the average income per capita (MRR=0.99; p=0.038) and the number of basic health units per population (MRR=0.89; p<0.001). Mortality rates increased from 2001 to 2011 (β=0.350; p=0.002).Factors associated with mortality were inequality (RR=1.02; p=0.001) high income per capita (MRR=0.99; p=0.005), and higher proportions of populations living in urban areas (MRR=1.01; p<0.001). CONCLUSIONS The increases in the dengue mortality and case fatality rates and the associated socioeconomic and health care factors, suggest the need for structural and intersectoral investments to improve living conditions and to sustainably reduce these outcomes.

Análises espaciais na identificação das áreas de risco para a esquistossomose mansônica no município de Lauro de Freitas, Bahia, Brasil

The spread of schistosomiasis mansoni defies efforts by Brazils Unified National Health System, thus demonstrating the need to reassess endemic control programs in the country. The aim of this study was to demarcate geographic areas at risk of schistosomiasis in Lauro de Freitas, Bahia State, Brazil, and to establish the epidemiological and socioeconomic profile of the disease in this municipality (county). Kernel density estimator exploratory analysis was used for visual identification of areas at risk. Kulldorff & Nagarwallas spatial analysis was used to obtain statistically significant clusters and to measure risk. These technologies identified four risk areas for schistosomiasis. Clusters identified within the risk areas were characterized by lower socioeconomic conditions. Multiple correspondence analyses showed a distinct profile for positive patients in the primary cluster. The techniques employed here represent an important methodological acquisition for tracking and controlling schistosomiasis in Lauro de Freitas.

Detecção de aglomerados espaciais de casos de neoplasia mamária em cães no município de Salvador, Bahia

Spontaneous mammary tumors represent the most frequent type of cancer in canines, accounting for approximately 50% of all neoplasms. The majority of scientific papers cited in the literature are limited to non refined epidemiological data, without mentioning the trend of this disease in generating clusters in a given geographical area. In this context, this research aimed to create thematic maps of spatial distribution of mammary neoplasms in bitches and to identify disease clusters for the city of Salvador, Bahia. Trough the spatial analysis scanning, it was found that cases of breast cancer is not evenly distributed in the municipality. A significant primary cluster was detected (P>0,001) covering 67.3% of the studied cases. Considering the gap in literature available in this field, it is believed that such results will become very important, especially in leading to new studies, where intrinsic and extrinsic variables regarding the animal must be taken into consideration and analyzed for factors risk identification to formulate educational plans targeting the promotion of animal welfare.