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Determinants of drug-resistant Tuberculosis in the State of São Paulo: an approach with R-INLA

Grant number: 17/11040-4
Support Opportunities:Scholarships in Brazil - Doctorate
Start date: March 01, 2018
End date: June 30, 2020
Field of knowledge:Health Sciences - Nursing - Public Health Nursing
Principal Investigator:Ricardo Alexandre Arcêncio
Grantee:Luiz Henrique Arroyo
Host Institution: Escola de Enfermagem de Ribeirão Preto (EERP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil

Abstract

Drug-resistant Tuberculosis is a threat to Tuberculosis elimination efforts globally, causing significant impacts on the health of populations and burdening health systems. Few studies have sought to understand the determinants and regions at greatest risk for the event, and this is an important lacuna to subsidize measures of prevention and control of the disease. The objective of the study is to identify the determinants of drug resistance in the State of São Paulo and to present an explanatory model of the phenomenon considering the spatial dependence and the hierarchical structure of the data. This is an ecological study to be conducted in the 645 municipalities of São Paulo. All confirmed cases of drug resistance would be considered, living in the municipalities of São Paulo and registered between 2006 and 2016 in three state databases. Data will also be used from the Single Caduceus of Social Programs of the Federal Government (CadÚnico) and Demographic Census of 2010. For the spatial analysis will be used the Bayesian hierarchical modeling to model the spatial distribution of the relative risk of the cases. Spatial dependence will be introduced assuming the conditional autoregressive structure and the unstructured effect will be modeled by a normal distribution with zero mean and large variance. In order to identify the best model of data fit, the criterion of deviance information criterion based on conditional predictive order will be considered. The analyze will be conducted in software R, using the R-INLA package. (AU)

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Scientific publications (4)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
HENRIQUE ARROYO, LUIZ ARROYO; MORAES ARCOVERDE, MARCOS AUGUSTO; ALVES, JOSILENE DALIA; FUENTEALBA-TORRES, MIGUEL; CARTAGENA-RAMOS, DENISSE; SCHOLZE, ALESSANDRO ROLIM; VIEIRA RAMOS, ANTONIO CARLOS; ARCENCIO, RICARDO ALEXANDRE. Análise espacial dos casos de Tuberculose com Transtornos Mentais em São Paulo. Revista Brasileira de Enfermagem, v. 72, n. 3, p. 654-662, . (17/11040-4)
CAMPOY, LAURA TERENCIANI; VIEIRA RAMOS, ANTONIO CARLOS; LIMIRIO SOUZA, LUDMILLA LEIDIANNE; ALVES, LUANA SELES; MORAES ARCOVERDE, MARCOS AUGUSTO; BERRA, THAIS ZAMBONI; ARROYO, LUIZ HENRIQUE; DOS SANTOS, DANIELLE TALITA; ARCENCIO, RICARDO ALEXANDRE. Spatial distribution and temporal trend of National Health System and Supplemental Health Sector human resources, Brazil, 2005-2016. EPIDEMIOLOGIA E SERVICOS DE SAUDE, v. 29, n. 2, p. 12-pg., . (17/11040-4, 18/03700-7)
LAURA TERENCIANI CAMPOY; ANTÔNIO CARLOS VIEIRA RAMOS; LUDMILLA LEIDIANNE LIMIRIO SOUZA; LUANA SELES ALVES; MARCOS AUGUSTO MORAES ARCOVERDE; THAÍS ZAMBONI BERRA; LUIZ HENRIQUE ARROYO; DANIELLE TALITA DOS SANTOS; RICARDO ALEXANDRE ARCÊNCIO. A distribuição espacial e a tendência temporal de recursos humanos para o Sistema Único de Saúde e para a Saúde Suplementar, Brasil, 2005 a 2016. Epidemiol. Serv. Saúde, v. 29, n. 2, . (17/11040-4, 18/03700-7)
LUIZ HENRIQUE ARROYO; ANTÔNIO CARLOS VIEIRA RAMOS; MELLINA YAMAMURA; THAIS ZAMBONI BERRA; LUANA SELES ALVES; AYLANA DE SOUZA BELCHIOR; DANIELLE TALITA SANTOS; JOSILENE DÁLIA ALVES; LAURA TERENCIANI CAMPOY; MARCOS AUGUSTO MORAES ARCOVERDE; et al. Modelo preditivo dos desfechos desfavoráveis da tuberculose multidroga-resistente. Revista de Saúde Pública, v. 53, . (17/11040-4)
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
ARROYO, Luiz Henrique. Determinants related to illness and treatment outcomes for multidrug-resistant tuberculosis in the state of São Paulo. 2020. Doctoral Thesis - Universidade de São Paulo (USP). Escola de Enfermagem (EE/SBD) São Paulo.