Marcus Vinicius Gouvêa1, Ivete Lopes Mendonça2, Maria do Socorro Pires E Cruz3, Carlos Henrique Nery Costa4, José Ueleres Braga1, Guilherme Loureiro Werneck1. 1. Departamento de Epidemiologia, Instituto de Medicina Social, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil. 2. Laboratório de Sanidade Animal, Universidade Federal do Piauí, Teresina, Piauí, Brazil. 3. Programa de Pós-Graduação em Ciência Animal, Centro de Ciências Agrárias, Universidade Federal do Piauí, Teresina, Piauí, Brazil. 4. Instituto de Doenças Tropicais Nathan Portella, Teresina, Piauí, Brazil.
Abstract
INTRODUCTION: In Brazil, culling of seropositive dogs is one of the recommended strategies to control visceral leishmaniasis. Since infectiousness is correlated with clinical signs, control measures targeting symptomatic dogs could be more effective. METHODS: A cross-sectional study was carried out among 1,410 dogs, predictive models were developed based on clinical signs and an indirect immunofluorescence antibody test. RESULTS: The validated predictive model showed sensitivity and specificity of 86.5% and 70.0%, respectively. CONCLUSIONS: Predictive models could be used as tools to aid control programs in focusing on a smaller fraction of dogs contributing more to infection dissemination.
INTRODUCTION: In Brazil, culling of seropositive dogs is one of the recommended strategies to control visceral leishmaniasis. Since infectiousness is correlated with clinical signs, control measures targeting symptomatic dogs could be more effective. METHODS: A cross-sectional study was carried out among 1,410 dogs, predictive models were developed based on clinical signs and an indirect immunofluorescence antibody test. RESULTS: The validated predictive model showed sensitivity and specificity of 86.5% and 70.0%, respectively. CONCLUSIONS: Predictive models could be used as tools to aid control programs in focusing on a smaller fraction of dogs contributing more to infection dissemination.
Authors: Kleverton Ribeiro da Silva; Vitor Rosa Ramos de Mendonça; Kellen Matuzzy Silva; Leopoldo Fabrício Marçal do Nascimento; Antonio Ferreira Mendes-Sousa; Flaviane Alves de Pinho; Manoel Barral-Netto; Aldina Maria Prado Barral; Maria do Socorro Pires E Cruz Journal: Mem Inst Oswaldo Cruz Date: 2017-01-01 Impact factor: 2.743