| Author | Gama, Rafael Silva | |
| Author | Souza, Márcio Luís Moreira de | |
| Author | Sarno, Euzenir Nunes | |
| Author | Moraes, Milton Ozório | |
| Author | Gonçalves, Aline | |
| Author | Stefani, Mariane M. A. | |
| Author | Garcia, Raúl Marcel González | |
| Author | Fraga, Lucia Alves de Oliveira | |
| Access date | 2019-07-12T17:57:14Z | |
| Available date | 2019-07-12T17:57:14Z | |
| Document date | 2019 | |
| Citation | GAMA, Rafael Silva et al. A novel integrated molecular and serological analysis method to predict new cases of leprosy amongst household contacts. PLoS Neglected Tropical Diseases, v. 13, n. 6, p. 1-22, June 2019. | pt_BR |
| ISSN | 1935-2727 | pt_BR |
| URI | https://www.arca.fiocruz.br/handle/icict/34037 | |
| Language | eng | pt_BR |
| Publisher | Public Library of Science | pt_BR |
| Rights | open access | pt_BR |
| Subject in Portuguese | Hanseníase | pt_BR |
| Subject in Portuguese | Novo método | pt_BR |
| Subject in Portuguese | Análise molecular e sorológica | pt_BR |
| Subject in Portuguese | Contatos domiciliares | pt_BR |
| Title | A novel integrated molecular and serological analysis method to predict new cases of leprosy amongst household contacts | pt_BR |
| Type | Article | pt_BR |
| DOI | 10.1371/journal.pntd.0007400 | |
| Abstract | Early detection of Mycobacterium leprae is a key strategy for disrupting the transmission chain of leprosy and preventing the potential onset of physical disabilities. Clinical diagnosis is essential, but some of the presented symptoms may go unnoticed, even by specialists. In areas of greater endemicity, serological and molecular tests have been performed and analyzed separately for the follow-up of household contacts, who are at high risk of developing the disease. The accuracy of these tests is still debated, and it is necessary to make them more reliable, especially for the identification of cases of leprosy between contacts. We proposed an integrated analysis of molecular and serological methods using artificial intelligence by the random forest (RF) algorithm to better diagnose and predict new cases of leprosy. | pt_BR |
| Affilliation | Universidade Federal de Juiz de Fora. Instituto de Ciências Biológicas e DIP. Genética e Biotecnologia. Juiz de Fora, MG, Brasil / Universidade do Vale do Rio Doce. Núcleo de Pesquisa em Imunologia. Governador Valadares, MG, Brasil. | pt_BR |
| Affilliation | Universidade Federal de Juiz de Fora. Campus GV. Departamento Básico de Saúde. Programa Multicêntrico de Bioquímica e Biologia Molecular. Governador Valadares, MG, Brasil. | pt_BR |
| Affilliation | Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Hanseníase. Rio de Janeiro, RJ, Brasil. | pt_BR |
| Affilliation | Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Hanseníase. Rio de Janeiro, RJ, Brasil. | pt_BR |
| Affilliation | Universidade Federal de Goiás. Instituto de Patologia Tropical e Sáude Pública. Goiânia, GO, Brasil. | pt_BR |
| Affilliation | Universidade Federal de Goiás. Instituto de Patologia Tropical e Sáude Pública. Goiânia, GO, Brasil. | pt_BR |
| Affilliation | Universidade Federal de Juiz de Fora. Instituto de Ciências Biológicas e DIP/Genética e Biotecnologia. Juiz de Fora, MG, Brasil. | pt_BR |
| Affilliation | Universidade Federal de Juiz de Fora. Campus GV. Departamento Básico de Saúde. Programa Multicêntrico de Bioquímica e Biologia Molecular. Governador Valadares, MG, Brasil. | pt_BR |
| Subject | Molecular and serological analysis | pt_BR |
| Subject | Leprosy | pt_BR |
| Subject | Household contacts | pt_BR |
| Subject | New method | pt_BR |
| Subject | Molecular and serological analysis | pt_BR |
| e-ISSN | 1935-2735 | |
