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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemarte2.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier3ERPFQRTRW34M/3E7GDSH
Repositorydpi.inpe.br/marte2/2013/05.28.23.33.42
Last Update2013:05.28.23.33.42 (UTC) administrator
Metadata Repositorydpi.inpe.br/marte2/2013/05.28.23.33.43
Metadata Last Update2018:06.06.03.32.41 (UTC) administrator
ISBN978-85-17-00066-9 (Internet)
978-85-17-00065-2 (DVD)
Label522
Citation KeyNunes:2013:AbBaEp
TitleAbordagem bayesiana na epidemiologia espacial de notificações de casos de dengue no Estado de Goiás
FormatDVD, Internet.
Year2013
Access Date2024, Apr. 25
Secondary TypePRE CN
Number of Files1
Size1033 KiB
2. Context
AuthorNunes, Fabrizia Gioppo
Author e-Mail Addressfabrizia.iesa.ufg.@gmail.com
EditorEpiphanio, José Carlos Neves
Galvão, Lênio Soares
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 16 (SBSR)
Conference LocationFoz do Iguaçu
Date13-18 abr. 2013
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages8554-8560
Book TitleAnais
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2013-05-28 23:33:43 :: banon -> administrator ::
2018-06-06 03:32:41 :: administrator -> wanderf@dsr.inpe.br :: 2013
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordscartografia
epidemiologia
dinâmica especial
saúde pública
cartography
epidemiology
special dynamics
public health
AbstractThematic maps are largely used in public health for the description and analysis of geographic variations of events, like diseases, aiming to detect high risk areas or spatial predominance. The present work is part of a number of studies of mapping of spatial epidemiology applying Bayesian methodology. In this case, as input was entered crude rates of incidence of dengue disease, which were corrected using Global Empirical and Local Empirical Bayesian estimators. We focus in Goiás State (Brazil) estimating regions where local people is submitted to epidemiologic risks. Dates were obtained from Sistema de Informação de Agravos de Notificações (SINAN-NET) in DATASUS for the years of 2009, 2010 and 2011. Spatial statistics calculations were run in the software of geographic system information (TerraView 4.2.0) to give cartographic representations that show the risk distribution obtained for each estimator: crude rates, Local Bayesian an Global Bayesian. The results show that the Bayesians estimators yield more accuracy in risks estimate for events recorded. These can minimize problems due null notifications (false positive) and avoid influence of population size. Therefore, this approach points clearly the most affected cities by the disease.
AreaSRE
TypeSaúde
Arrangement 1urlib.net > BDMCI > Fonds > SBSR > SBSR 16 > Abordagem bayesiana na...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > SBSR 16 > Abordagem bayesiana na...
Arrangement 3Projeto Memória 60... > Livros e livros editados > SBSR 16 > Abordagem bayesiana na...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/3ERPFQRTRW34M/3E7GDSH
zipped data URLhttp://urlib.net/zip/3ERPFQRTRW34M/3E7GDSH
Languagept
Target Filep0522.pdf
User Groupadministrator
banon
Visibilityshown
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units3ERPFQRTRW34M/3E7G88S
Citing Item Listdpi.inpe.br/marte2/2013/05.28.22.25 1
Host Collectiondpi.inpe.br/marte2/2013/05.17.15.03.06
6. Notes
Empty Fieldsaffiliation archivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition group issn lineage mark nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype url versiontype volume
7. Description control
e-Mail (login)wanderf@dsr.inpe.br
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