INTRODUCTION: Leprosy remains a relevant public health issue in Brazil. The objective of this study was to analyze the spatial distribution of new cases of leprosy and to detect areas with higher risks of disease in the City of Vitória. METHODS: The study was ecologically based on the spatial distribution of leprosy in the City of Vitória, State of Espírito Santo between 2005 and 2009. The data sources used came from the available records of the State Health Secretary of Espírito Santo. A global and local empirical Bayesian method was used in the spatial analysis to produce a leprosy risk estimation, and the fluctuation effect was smoothed from the detection coefficients. RESULTS: The study used thematic maps to illustrate that leprosy is distributed heterogeneously between the neighborhoods and that it is possible to identify areas with high risk of disease. The Pearson correlation coefficient of 0.926 (p = 0.001) for the Local Method indicated highly correlated coefficients. The Moran index was calculated to evaluate correlations between the incidences of adjoining districts. CONCLUSIONS: We identified the spatial contexts in which there were the highest incidence rates of leprosy in Vitória during the studied period. The results contribute to the knowledge of the spatial distribution of leprosy in the City of Vitória, which can help establish more cost-effective control strategies because they indicate specific regions and priority planning activities that can interfere with the transmission chain.
INTRODUCTION:Leprosy remains a relevant public health issue in Brazil. The objective of this study was to analyze the spatial distribution of new cases of leprosy and to detect areas with higher risks of disease in the City of Vitória. METHODS: The study was ecologically based on the spatial distribution of leprosy in the City of Vitória, State of Espírito Santo between 2005 and 2009. The data sources used came from the available records of the State Health Secretary of Espírito Santo. A global and local empirical Bayesian method was used in the spatial analysis to produce a leprosy risk estimation, and the fluctuation effect was smoothed from the detection coefficients. RESULTS: The study used thematic maps to illustrate that leprosy is distributed heterogeneously between the neighborhoods and that it is possible to identify areas with high risk of disease. The Pearson correlation coefficient of 0.926 (p = 0.001) for the Local Method indicated highly correlated coefficients. The Moran index was calculated to evaluate correlations between the incidences of adjoining districts. CONCLUSIONS: We identified the spatial contexts in which there were the highest incidence rates of leprosy in Vitória during the studied period. The results contribute to the knowledge of the spatial distribution of leprosy in the City of Vitória, which can help establish more cost-effective control strategies because they indicate specific regions and priority planning activities that can interfere with the transmission chain.
Authors: David Alexander Phillips; José Antonio Ferreira; Deidra Ansah; Herica Sa Teixeira; Uriel Kitron; Thelma de Filippis; Marcelo H de Alcântara; Jessica K Fairley Journal: Mem Inst Oswaldo Cruz Date: 2017-04 Impact factor: 2.743
Authors: Antônio Carlos Vieira Ramos; Mellina Yamamura; Luiz Henrique Arroyo; Marcela Paschoal Popolin; Francisco Chiaravalloti Neto; Pedro Fredemir Palha; Severina Alice da Costa Uchoa; Flávia Meneguetti Pieri; Ione Carvalho Pinto; Regina Célia Fiorati; Ana Angélica Rêgo de Queiroz; Aylana de Souza Belchior; Danielle Talita Dos Santos; Maria Concebida da Cunha Garcia; Juliane de Almeida Crispim; Luana Seles Alves; Thaís Zamboni Berra; Ricardo Alexandre Arcêncio Journal: PLoS Negl Trop Dis Date: 2017-02-27
Authors: Luiza Sarmento Tatagiba; Luana Bridi Pivatto; Álvaro A Faccini-Martínez; Paulo Mendes Peçanha; Tânia Regina Grão Velloso; Sarah Santos Gonçalves; Anderson Messias Rodrigues; Zoilo Pires Camargo; Aloísio Falqueto Journal: Med Mycol Case Rep Date: 2017-09-25