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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentifierJ8LNKAN8RW/38JKC46
Repositorydpi.inpe.br/plutao/2010/11.12.20.35.46
Last Update2011:03.02.13.38.05 (UTC) marciana
Metadata Repositorydpi.inpe.br/plutao/2010/11.12.20.35.47
Metadata Last Update2018:06.05.00.12.24 (UTC) administrator
Secondary KeyINPE--PRE/
DOI10.1590/S0074-02762010000400030
ISSN0074-0276
Labellattes: 9840759640842299 3 GuimarãesFDSMFADFOC:2010:GeApSt
Citation KeyGuimarãesFDDSMFADFOC:2010:GeApSt
TitleA geoprocessing approach for studying and controlling schistosomiasis in the state of Minas Gerais, Brazil
Year2010
Access Date2024, May 19
Secondary TypePRE PN
Number of Files1
Size1814 KiB
2. Context
Author 1 Guimarães, Ricardo José de Paula Souza
 2 Freitas, Corina da Costa
 3 Dutra, Luciano Vieira
 4 Dutra, Luciano Vieira
 5 Scholte, Ronaldo Guilherme Carvalho
 6 Martins-Bedé, Flávia Toledo
 7 Fonseca, Fernanda Rodrigues
 8 Amaral, Ronaldo Santos
 9 Drummond, Sandra Costa
10 Felgueiras, Carlos Alberto
11 Oliveira, Guilherme Corrêa
12 Carvalho, Omar Santos
Resume Identifier 1
 2
 3 8JMKD3MGP5W/3C9JHMA
 4 8JMKD3MGP5W/3C9JHMA
 5
 6
 7
 8
 9
10 8JMKD3MGP5W/3C9JGQD
Group 1
 2 DPI-OBT-INPE-MCT-BR
 3 DPI-OBT-INPE-MCT-BR
 4 DPI-OBT-INPE-MCT-BR
 5
 6 DPI-OBT-INPE-MCT-BR
Affiliation 1 Inst Pesquisas Rene Rachou Fiocruz, Belo Horizonte, MG, Brazil
 2 Instituto Nacional de Pesquisas Espaciais (INPE)
 3 Instituto Nacional de Pesquisas Espaciais (INPE)
 4 Instituto Nacional de Pesquisas Espaciais (INPE)
 5 Inst Pesquisas Rene Rachou Fiocruz, Belo Horizonte, MG, Brazil
 6 Instituto Nacional de Pesquisas Espaciais (INPE)
 7
 8
 9 Secretaria Estado Saude Minas Gerais, Belo Horizonte, MG, Brazil
10
11
12 Inst Pesquisas Rene Rachou Fiocruz, Belo Horizonte, MG, Brazil
Author e-Mail Address 1
 2 corina@dpi.inpe.br
 3 dutra@dpi.inpe.br
e-Mail Addressdutra@dpi.inpe.br
JournalMemórias do Instituto Oswaldo Cruz
Volume105
Number4
Pages524-531
Secondary MarkB1_ANTROPOLOGIA_/_ARQUEOLOGIA B3_ASTRONOMIA_/_FÍSICA B2_BIOTECNOLOGIA B3_CIÊNCIA_DA_COMPUTAÇÃO B1_CIÊNCIA_DE_ALIMENTOS A2_CIÊNCIAS_AGRÁRIAS_I B2_CIÊNCIAS_BIOLÓGICAS_I B3_CIÊNCIAS_BIOLÓGICAS_II B1_CIÊNCIAS_BIOLÓGICAS_III B1_ECOLOGIA_E_MEIO_AMBIENTE A2_ENFERMAGEM B1_ENGENHARIAS_III B4_ENSINO_DE_CIÊNCIAS_E_MATEMATICA B2_FARMÁCIA B1_GEOCIÊNCIAS B1_GEOGRAFIA A2_INTERDISCIPLINAR B1_LETRAS_/_LINGUÍSTICA B1_MEDICINA_I B1_MEDICINA_II B1_MEDICINA_III B1_MEDICINA_VETERINÁRIA B1_ODONTOLOGIA B2_QUÍMICA B1_SAÚDE_COLETIVA A2_ZOOTECNIA_/_RECURSOS_PESQUEIROS
History (UTC)2010-12-06 14:15:24 :: lattes -> ricardo :: 2010
2010-12-07 11:40:37 :: ricardo -> administrator :: 2010
2010-12-08 15:14:56 :: administrator -> marciana :: 2010
2011-03-02 13:37:05 :: marciana -> lise@dpi.inpe.br :: 2010
2011-03-02 13:38:23 :: lise@dpi.inpe.br -> administrator :: 2010
2011-06-04 15:37:26 :: administrator -> lise@dpi.inpe.br :: 2010
2011-09-13 12:39:19 :: lise@dpi.inpe.br -> marciana :: 2010
2011-09-14 12:26:09 :: marciana -> administrator :: 2010
2016-06-04 01:07:35 :: administrator -> marciana :: 2010
2016-08-30 14:16:58 :: marciana -> administrator :: 2010
2018-06-05 00:12:24 :: administrator -> marciana :: 2010
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsMinas Gerais
Brazil
Geographical information systems (GIS)
schistosomiasis
geographical information system
geostatistical procedures
Biomphalaria
multiple linear regression
epidemiology
AbstractGeographical information systems (GIS) are tools that have been recently tested for improving our understanding of the spatial distribution of disease. The objective of this paper was to further develop the GIS technology to model and control schistosomiasis using environmental, social, biological and remote-sensing variables. A final regression model (R(2) = 0.39) was established, after a variable selection phase, with a set of spatial variables including the presence or absence of Biomphalaria glabrata, winter enhanced vegetation index, summer minimum temperature and percentage of houses with water coming from a spring or well. A regional model was also developed by splitting the state of Minas Gerais (MG) into four regions and establishing a linear regression model for each of the four regions: I (R(2) = 0.97), 2 (R(2) = 0.60), 3 (R(2) = 0.63) and 4 (R(2) = 0.76). Based on these models, a schistosomiasis risk map was built for MG. In this paper, geostatistics was also used to make inferences about the presence of Biomphalaria spp. The result was a map of species and risk areas. The obtained risk map permits the association of uncertainties, which can be used to qualify the inferences and it can be thought of as an auxiliary tool for public health strategies.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > A geoprocessing approach...
doc Directory Contentaccess
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agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/J8LNKAN8RW/38JKC46
zipped data URLhttp://urlib.net/zip/J8LNKAN8RW/38JKC46
Languageen
Target File11.12.20.35.46__0074-0276.pdf
User Groupadministrator
lattes
administrator
lise@dpi.inpe.br
marciana
Reader Groupadministrator
marciana
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3EQCCU5
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.43.05 2
sid.inpe.br/bibdigital/2013/09.09.15.05 1
URL (untrusted data)http://memorias.ioc.fiocruz.br/105(4)/105_4_X_1403.pdf
DisseminationWEBSCI; PORTALCAPES; SCIELO.
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
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