Spatial analysis for stratification of priority malaria control areas, Mato Grosso State, Brazil

The goal of this study was to stratify priority areas for malaria control in the State of Mato Grosso, Brazil, based on spatial analysis. The variables used were: Annual Parasite Index (API), Plasmodium falciparum/Plasmodium vivax ratio, population variation, number of families settled, and percent of deforested area. The Moran's I and Local Moran Test were applied, visualized with the Box Map and Moran Map, for 1986- 1991, 1992-1997, and 1998-2003. Box Map identified areas with high, low, and intermediate priority for control, and Moran Map identified municipalities with significant autocorrelation. In the high priority area, located in the North of Mato Grosso, malaria incidence decreased drastically despite the increase in the number of municipalities from the first to the last period. Other municipalities were added to the lower priority area, from the Southeast, Southwest, and Central-South of the State. The intermediate priority area was located along the border with neighboring States and municipalities classified as high and low priority. Spatial analysis showed the importance of the neighboring phenomenon between municipalities in defining priority areas, thus highlighting the technique's advantages for use in malaria control and surveillance.

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Main Authors: Atanaka-Santos,Marina, Souza-Santos,Reinaldo, Czeresnia,Dina
Format: Digital revista
Language:English
Published: Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz 2007
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2007000500012
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spelling oai:scielo:S0102-311X20070005000122007-04-23Spatial analysis for stratification of priority malaria control areas, Mato Grosso State, BrazilAtanaka-Santos,MarinaSouza-Santos,ReinaldoCzeresnia,Dina Moran's I Malaria Communicable Disease Control Spatial Analysis The goal of this study was to stratify priority areas for malaria control in the State of Mato Grosso, Brazil, based on spatial analysis. The variables used were: Annual Parasite Index (API), Plasmodium falciparum/Plasmodium vivax ratio, population variation, number of families settled, and percent of deforested area. The Moran's I and Local Moran Test were applied, visualized with the Box Map and Moran Map, for 1986- 1991, 1992-1997, and 1998-2003. Box Map identified areas with high, low, and intermediate priority for control, and Moran Map identified municipalities with significant autocorrelation. In the high priority area, located in the North of Mato Grosso, malaria incidence decreased drastically despite the increase in the number of municipalities from the first to the last period. Other municipalities were added to the lower priority area, from the Southeast, Southwest, and Central-South of the State. The intermediate priority area was located along the border with neighboring States and municipalities classified as high and low priority. Spatial analysis showed the importance of the neighboring phenomenon between municipalities in defining priority areas, thus highlighting the technique's advantages for use in malaria control and surveillance.info:eu-repo/semantics/openAccessEscola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo CruzCadernos de Saúde Pública v.23 n.5 20072007-05-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2007000500012en10.1590/S0102-311X2007000500012
institution SCIELO
collection OJS
country Brasil
countrycode BR
component Revista
access En linea
databasecode rev-scielo-br
tag revista
region America del Sur
libraryname SciELO
language English
format Digital
author Atanaka-Santos,Marina
Souza-Santos,Reinaldo
Czeresnia,Dina
spellingShingle Atanaka-Santos,Marina
Souza-Santos,Reinaldo
Czeresnia,Dina
Spatial analysis for stratification of priority malaria control areas, Mato Grosso State, Brazil
author_facet Atanaka-Santos,Marina
Souza-Santos,Reinaldo
Czeresnia,Dina
author_sort Atanaka-Santos,Marina
title Spatial analysis for stratification of priority malaria control areas, Mato Grosso State, Brazil
title_short Spatial analysis for stratification of priority malaria control areas, Mato Grosso State, Brazil
title_full Spatial analysis for stratification of priority malaria control areas, Mato Grosso State, Brazil
title_fullStr Spatial analysis for stratification of priority malaria control areas, Mato Grosso State, Brazil
title_full_unstemmed Spatial analysis for stratification of priority malaria control areas, Mato Grosso State, Brazil
title_sort spatial analysis for stratification of priority malaria control areas, mato grosso state, brazil
description The goal of this study was to stratify priority areas for malaria control in the State of Mato Grosso, Brazil, based on spatial analysis. The variables used were: Annual Parasite Index (API), Plasmodium falciparum/Plasmodium vivax ratio, population variation, number of families settled, and percent of deforested area. The Moran's I and Local Moran Test were applied, visualized with the Box Map and Moran Map, for 1986- 1991, 1992-1997, and 1998-2003. Box Map identified areas with high, low, and intermediate priority for control, and Moran Map identified municipalities with significant autocorrelation. In the high priority area, located in the North of Mato Grosso, malaria incidence decreased drastically despite the increase in the number of municipalities from the first to the last period. Other municipalities were added to the lower priority area, from the Southeast, Southwest, and Central-South of the State. The intermediate priority area was located along the border with neighboring States and municipalities classified as high and low priority. Spatial analysis showed the importance of the neighboring phenomenon between municipalities in defining priority areas, thus highlighting the technique's advantages for use in malaria control and surveillance.
publisher Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz
publishDate 2007
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2007000500012
work_keys_str_mv AT atanakasantosmarina spatialanalysisforstratificationofprioritymalariacontrolareasmatogrossostatebrazil
AT souzasantosreinaldo spatialanalysisforstratificationofprioritymalariacontrolareasmatogrossostatebrazil
AT czeresniadina spatialanalysisforstratificationofprioritymalariacontrolareasmatogrossostatebrazil
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