| Author | Scholte, Ronaldo Guilherme Carvalho | |
| Author | Schur, Nadine | |
| Author | Bavia, Maria Emilia | |
| Author | Carvalho Filho, Edgar Marcelino de | |
| Author | Chammartin, Frédérique | |
| Author | Utzinger, Jürg | |
| Author | Vounatsou, Penelope | |
| Access date | 2018-11-13T11:40:15Z | |
| Available date | 2018-11-13T11:40:15Z | |
| Document date | 2013 | |
| Citation | SCHOLTE, Ronaldo Guilherme Carvalho et al. Spatial analysis and risk mapping of soil-transmitted helminth infections in Brazil, using Bayesian geostatistical models. Geospat Health., v. 8, n. 1, p.97-110, 2013. | pt_BR |
| ISSN | 1827-1987 | pt_BR |
| URI | https://www.arca.fiocruz.br/handle/icict/30007 | |
| Language | eng | pt_BR |
| Publisher | PAGEpress | pt_BR |
| Rights | restricted access | pt_BR |
| Subject in Portuguese | Modelagem bayesiana | pt_BR |
| Subject in Portuguese | Sistema de informação geográfica | pt_BR |
| Subject in Portuguese | Sensoriamento remoto | pt_BR |
| Subject in Portuguese | Helmintos transmitidos pelo solo | pt_BR |
| Subject in Portuguese | Seleção variável | pt_BR |
| Subject in Portuguese | Brazil | pt_BR |
| Title | Spatial analysis and risk mapping of soil-transmitted helminth infections in Brazil, using Bayesian geostatistical models | pt_BR |
| Type | Article | |
| DOI | 10.4081/gh.2013.58 | |
| Abstract | Soil-transmitted helminths (Ascaris lumbricoides, Trichuris trichiura and hookworm) negatively impact the health and wellbeing of hundreds of millions of people, particularly in tropical and subtropical countries, including Brazil. Reliable maps of the spatial distribution and estimates of the number of infected people are required for the control and eventual elimination of soil-transmitted helminthiasis. We used advanced Bayesian geostatistical modelling, coupled with geographical information systems and remote sensing to visualize the distribution of the three soil-transmitted helminth species in Brazil. Remotely sensed climatic and environmental data, along with socioeconomic variables from readily available databases were employed as predictors. Our models provided mean prevalence estimates for A. lumbricoides, T. trichiura and hookworm of 15.6%, 10.1% and 2.5%, respectively. By considering infection risk and population numbers at the unit of the municipality, we estimate that 29.7 million Brazilians are infected with A. lumbricoides, 19.2 million with T. trichiura and 4.7 million with hookworm. Our model-based maps identified important risk factors related to the transmission of soiltransmitted helminths and confirm that environmental variables are closely associated with indices of poverty. Our smoothed risk maps, including uncertainty, highlight areas where soil-transmitted helminthiasis control interventions are most urgently required, namely in the North and along most of the coastal areas of Brazil. We believe that our predictive risk maps are useful for disease control managers for prioritising control interventions and for providing a tool for more efficient surveillance-response mechanisms. | pt_BR |
| Affilliation | Department of Epidemiology and Public Health. Swiss Tropical and Public Health Institute. Basel, Switzerland/University of Basel. Basel, Switzerland/Fundação Oswaldo Cruz. Centro de Pesquisa Rene Rachou. Laboratorio de Helmintologia e Malacologia Medica. Belo Horizonte, MG, Brazil | pt_BR |
| Affilliation | Department of Epidemiology and Public Health. Swiss Tropical and Public Health Institute. Basel, Switzerland/University of Basel. Basel, Switzerland | pt_BR |
| Affilliation | Universidade Federal de Minas Gerais.Faculdade de Medicina Veterinária. Laboratório de Monitoramento de Doenças por Sistema de Informações Geográficas. Belo Horizonte, MG, Brazil | pt_BR |
| Affilliation | Universidade Federal da Bahia. Departamento de Medicina Preventiva. Salvador, BA, Brasil | pt_BR |
| Affilliation | Department of Epidemiology and Public Health. Swiss Tropical and Public Health Institute. Basel, Switzerland/University of Basel. Basel, Switzerland | pt_BR |
| Affilliation | Department of Epidemiology and Public Health. Swiss Tropical and Public Health Institute. Basel, Switzerland/University of Basel. Basel, Switzerland | pt_BR |
| Affilliation | Department of Epidemiology and Public Health. Swiss Tropical and Public Health Institute. Basel, Switzerland/University of Basel. Basel, Switzerland | pt_BR |
| Subject | Bayesian modelling | pt_BR |
| Subject | Geographical information system | pt_BR |
| Subject | Remote sensing | pt_BR |
| Subject | Soil-transmitted helminths | pt_BR |
| Subject | Variable selection | pt_BR |
| Subject | Brazil | pt_BR |
| Embargo date | 2022-01-01 | |
| xmlui.metadata.dc.subject.ods | 15 Vida terrestre | |
