| Author | Eyre, Max T. | |
| Author | Pereira, Ticiana S. A. Carvalho | |
| Author | Souza, Fábio N. | |
| Author | Khalilus, Hsein | |
| Author | Hacker, Kathryn P. | |
| Author | Serrano, Soledad | |
| Author | Taylor, Joshua P. | |
| Author | Reis, Mitermayer Galvão dos | |
| Author | Ko, Albert Icksang | |
| Author | Begon, Mike | |
| Author | Diggle, Peter J | |
| Author | Costa, Federico | |
| Author | Giorgi, Emanuele | |
| Access date | 2020-10-20T11:58:43Z | |
| Available date | 2020-10-20T11:58:43Z | |
| Document date | 2020 | |
| Citation | EYRE, Max T. et al. A multivariate geostatistical framework for combining multiple indices of abundance for disease vectors and reservoirs: a case study of rattiness in a low-income urban Brazilian community. Journal of the Royal Society, Interface, 2020. | pt_BR |
| ISSN | 1742-5689 | pt_BR |
| URI | https://www.arca.fiocruz.br/handle/icict/44075 | |
| Sponsorship | Ministério da Ciência,
Tecnologia e Inovação, the Conselho Nacional de Desenvolvimento
Científico e Tecnológico; the Fundação de Amparo à Pesquisa do
Estado da Bahia (grant no. 10206/20155); the Fundação Oswaldo
Cruz; Research Councils UK, the Medical Research Council (grant
nos. 1964635, MR/P024084/1 and MR/T029781/1); the Ministério
da Saúde; the U.S. Department of Health and Human Services, the
National Institutes of Health, the National Institute of Allergy and
Infectious Diseases (grant nos. F31 AI114245, R01 AI052473, R01
TW009504, R25 TW009338 and U01 AI088752); the Secretaria Municipal
de Saúde de Salvador-BA; and the Wellcome Trust (grant nos.
102330/Z/13/Z and 218987/Z/19/Z). MTE is in receipt of a studentship
from the Medical Research Council, United Kingdom. | pt_BR |
| Language | eng | pt_BR |
| Publisher | The Royal Society [Society | pt_BR |
| Rights | open access | pt_BR |
| Subject in Portuguese | Epidemiologia | pt_BR |
| Subject in Portuguese | Zoonoses | pt_BR |
| Subject in Portuguese | Doenças transmitidas por vetores | pt_BR |
| Subject in Portuguese | Leptospirose | pt_BR |
| Subject in Portuguese | Ratos | pt_BR |
| Title | A multivariate geostatistical framework for combining multiple indices of abundance for disease vectors and reservoirs: a case study of rattiness in a low-income urban Brazilian community | pt_BR |
| Type | Article | pt_BR |
| DOI | 10.1098/rsif.2020.0398 | |
| Abstract | A key requirement in studies of endemic vector-borne or zoonotic disease is
an estimate of the spatial variation in vector or reservoir host abundance.
For many vector species, multiple indices of abundance are available, but current
approaches to choosing between or combining these indices do not fully
exploit the potential inferential benefits that might accrue from modelling
their joint spatial distribution. Here, we develop a class of multivariate generalized
linear geostatistical models for multiple indices of abundance. We
illustrate this novel methodology with a case study on Norway rats in a
low-income urban Brazilian community, where rat abundance is a likely
risk factor for human leptospirosis. We combine three indices of rat abundance
to draw predictive inferences on a spatially continuous latent
process, rattiness, that acts as a proxy for abundance.We show how to explore
the association between rattiness and spatially varying environmental factors,
evaluate the relative importance of each of the three contributing indices and
assess the presence of residual, unexplained spatial variation, and identify
rattiness hotspots. The proposed methodology is applicable more generally
as a tool for understanding the role of vector or reservoir host abundance in
predicting spatial variation in the risk of human disease. | pt_BR |
| Affilliation | Lancaster University Medical School. Centre for Health Informatics, Computing, and Statistics. Lancaster, UK / Liverpool School of Tropical Medicine. Liverpool, UK. | pt_BR |
| Affilliation | Federal University of Bahia. Institute of Collective Health. Salvador, BA, Brazil. | pt_BR |
| Affilliation | Federal University of Bahia. Institute of Collective Health. Salvador, BA, Brazil. | pt_BR |
| Affilliation | Federal University of Bahia. Institute of Collective Health. Salvador, BA, Brazil / Swedish University of Agricultural Sciences. Umeå, Sweden. | pt_BR |
| Affilliation | University of Pennsylvania. Philadelphia, PA, USA. | pt_BR |
| Affilliation | Instituto de Investigaciones Forestales y Agropecuarias Bariloche.San Carlos de Bariloche, Río Negro, Argentina. | pt_BR |
| Affilliation | Instituto de Investigaciones Forestales y Agropecuarias Bariloche.San Carlos de Bariloche, Río Negro, Argentina. | pt_BR |
| Affilliation | Federal University of Bahia. Institute of Collective Health. Salvador, BA, Brazil / Fundação Oswaldo Cruz. instituto Gonçalo Moniz. Salvador, BA, Brasil. | pt_BR |
| Affilliation | Fundação Oswaldo Cruz. instituto Gonçalo Moniz. Salvador, BA, Brasil / Yale School of Public Health. Department of Epidemiology of Microbial Diseases. New Haven, USA. | pt_BR |
| Affilliation | University of Liverpool. Department of Evolution, Ecology and Behaviour. Liverpool, UK. | pt_BR |
| Affilliation | Lancaster University Medical School. Centre for Health Informatics, Computing, and Statistics. Lancaster, UK | pt_BR |
| Affilliation | Federal University of Bahia. Institute of Collective Health. Salvador, BA, Brazil / Fundação Oswaldo Cruz. instituto Gonçalo Moniz. Salvador, BA, Brasil / Yale School of Public Health. Department of Epidemiology of Microbial Diseases. New Haven, USA. | pt_BR |
| Affilliation | Lancaster University Medical School. Centre for Health Informatics, Computing, and Statistics. Lancaster, UK. | pt_BR |
| Subject | Epidemiology | pt_BR |
| Subject | Abundance indices | pt_BR |
| Subject | Zoonotic and vector-borne diseases | pt_BR |
| Subject | Multivariate modelbased geostatistics | pt_BR |
| Subject | Leptospirosis | pt_BR |
| Subject | Norway rat | pt_BR |
| xmlui.metadata.dc.subject.ods | 03 Saúde e Bem-Estar | |
