Identification of schistosomiasis risk areas using spatial analysis in Lauro de Freitas, Bahia State, Brazil
The spread of schistosomiasis mansoni defies efforts by Brazil's Unified National Health System, thus demonstrating the need to reassess endemic control programs in the country. The aim of this study was to demarcate geographic areas at risk of schistosomiasis in Lauro de Freitas, Bahia State,...
Gespeichert in:
Veröffentlicht in: | Cadernos de saúde pública 2011-05, Vol.27 (5), p.899-908 |
---|---|
Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | por |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 908 |
---|---|
container_issue | 5 |
container_start_page | 899 |
container_title | Cadernos de saúde pública |
container_volume | 27 |
creator | Cardim, Luciana Lobato Ferraudo, Antonio Sergio Pacheco, Selma Turrioni Azevedo Reis, Renato Barbosa Silva, Marta Mariana Nascimento Carneiro, Deborah Daniela M Trabuco Bavia, Maria Emilia |
description | The spread of schistosomiasis mansoni defies efforts by Brazil's Unified National Health System, thus demonstrating the need to reassess endemic control programs in the country. The aim of this study was to demarcate geographic areas at risk of schistosomiasis in Lauro de Freitas, Bahia State, Brazil, and to establish the epidemiological and socioeconomic profile of the disease in this municipality (county). Kernel density estimator exploratory analysis was used for visual identification of areas at risk. Kulldorff & Nagarwalla's spatial analysis was used to obtain statistically significant clusters and to measure risk. These technologies identified four risk areas for schistosomiasis. Clusters identified within the risk areas were characterized by lower socioeconomic conditions. Multiple correspondence analyses showed a distinct profile for positive patients in the primary cluster. The techniques employed here represent an important methodological acquisition for tracking and controlling schistosomiasis in Lauro de Freitas. |
doi_str_mv | 10.1590/S0102-311X2011000500008 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_proquest_miscellaneous_880134201</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>880134201</sourcerecordid><originalsourceid>FETCH-LOGICAL-p140t-cb44fc4787c0b00c094cce51425fe16764ad585a3d126e4bc61d6b27bf413903</originalsourceid><addsrcrecordid>eNo1kE9Lw0AUxBdBbK1-Bd2bF6Pv7Z8kPWqxWih4aA_ewstmY1fTJO5uDvXTG7EehmHgx8AMY9cId6jncL8BBJFIxDcBiACgR0F-wqaYZnmiVKom7DyEDwAhhdRnbCIw1TpXOGXNqrJtdLUzFF3X8q7mwexciF3o9o6CC9y78MnJWwp8CK5956EfWWo4tdQcfgnX8jUNvuOV5UtvXaRwyx9p54hvIkU7Bk_frrlgpzU1wV4efca2y6ft4iVZvz6vFg_rpEcFMTGlUrVRWZ4ZKAEMzJUxVqMSurbjplRRpXNNskKRWlWaFKu0FFlZK5RzkDN281fb--5rsCEWexeMbRpqbTeEIs8BpRrPGsmrIzmUe1sVvXd78ofi_x_5AweXZ5Q</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>880134201</pqid></control><display><type>article</type><title>Identification of schistosomiasis risk areas using spatial analysis in Lauro de Freitas, Bahia State, Brazil</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Cardim, Luciana Lobato ; Ferraudo, Antonio Sergio ; Pacheco, Selma Turrioni Azevedo ; Reis, Renato Barbosa ; Silva, Marta Mariana Nascimento ; Carneiro, Deborah Daniela M Trabuco ; Bavia, Maria Emilia</creator><creatorcontrib>Cardim, Luciana Lobato ; Ferraudo, Antonio Sergio ; Pacheco, Selma Turrioni Azevedo ; Reis, Renato Barbosa ; Silva, Marta Mariana Nascimento ; Carneiro, Deborah Daniela M Trabuco ; Bavia, Maria Emilia</creatorcontrib><description>The spread of schistosomiasis mansoni defies efforts by Brazil's Unified National Health System, thus demonstrating the need to reassess endemic control programs in the country. The aim of this study was to demarcate geographic areas at risk of schistosomiasis in Lauro de Freitas, Bahia State, Brazil, and to establish the epidemiological and socioeconomic profile of the disease in this municipality (county). Kernel density estimator exploratory analysis was used for visual identification of areas at risk. Kulldorff & Nagarwalla's spatial analysis was used to obtain statistically significant clusters and to measure risk. These technologies identified four risk areas for schistosomiasis. Clusters identified within the risk areas were characterized by lower socioeconomic conditions. Multiple correspondence analyses showed a distinct profile for positive patients in the primary cluster. The techniques employed here represent an important methodological acquisition for tracking and controlling schistosomiasis in Lauro de Freitas.</description><identifier>EISSN: 1678-4464</identifier><identifier>DOI: 10.1590/S0102-311X2011000500008</identifier><identifier>PMID: 21655841</identifier><language>por</language><publisher>Brazil</publisher><subject>Adolescent ; Adult ; Brazil - epidemiology ; Child ; Child, Preschool ; Educational Status ; Endemic Diseases - prevention & control ; Female ; Geographic Information Systems ; Humans ; Infant ; Infant, Newborn ; Male ; Schistosomiasis mansoni - epidemiology ; Schistosomiasis mansoni - prevention & control ; Socioeconomic Factors</subject><ispartof>Cadernos de saúde pública, 2011-05, Vol.27 (5), p.899-908</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,864,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21655841$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cardim, Luciana Lobato</creatorcontrib><creatorcontrib>Ferraudo, Antonio Sergio</creatorcontrib><creatorcontrib>Pacheco, Selma Turrioni Azevedo</creatorcontrib><creatorcontrib>Reis, Renato Barbosa</creatorcontrib><creatorcontrib>Silva, Marta Mariana Nascimento</creatorcontrib><creatorcontrib>Carneiro, Deborah Daniela M Trabuco</creatorcontrib><creatorcontrib>Bavia, Maria Emilia</creatorcontrib><title>Identification of schistosomiasis risk areas using spatial analysis in Lauro de Freitas, Bahia State, Brazil</title><title>Cadernos de saúde pública</title><addtitle>Cad Saude Publica</addtitle><description>The spread of schistosomiasis mansoni defies efforts by Brazil's Unified National Health System, thus demonstrating the need to reassess endemic control programs in the country. The aim of this study was to demarcate geographic areas at risk of schistosomiasis in Lauro de Freitas, Bahia State, Brazil, and to establish the epidemiological and socioeconomic profile of the disease in this municipality (county). Kernel density estimator exploratory analysis was used for visual identification of areas at risk. Kulldorff & Nagarwalla's spatial analysis was used to obtain statistically significant clusters and to measure risk. These technologies identified four risk areas for schistosomiasis. Clusters identified within the risk areas were characterized by lower socioeconomic conditions. Multiple correspondence analyses showed a distinct profile for positive patients in the primary cluster. The techniques employed here represent an important methodological acquisition for tracking and controlling schistosomiasis in Lauro de Freitas.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Brazil - epidemiology</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Educational Status</subject><subject>Endemic Diseases - prevention & control</subject><subject>Female</subject><subject>Geographic Information Systems</subject><subject>Humans</subject><subject>Infant</subject><subject>Infant, Newborn</subject><subject>Male</subject><subject>Schistosomiasis mansoni - epidemiology</subject><subject>Schistosomiasis mansoni - prevention & control</subject><subject>Socioeconomic Factors</subject><issn>1678-4464</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo1kE9Lw0AUxBdBbK1-Bd2bF6Pv7Z8kPWqxWih4aA_ewstmY1fTJO5uDvXTG7EehmHgx8AMY9cId6jncL8BBJFIxDcBiACgR0F-wqaYZnmiVKom7DyEDwAhhdRnbCIw1TpXOGXNqrJtdLUzFF3X8q7mwexciF3o9o6CC9y78MnJWwp8CK5956EfWWo4tdQcfgnX8jUNvuOV5UtvXaRwyx9p54hvIkU7Bk_frrlgpzU1wV4efca2y6ft4iVZvz6vFg_rpEcFMTGlUrVRWZ4ZKAEMzJUxVqMSurbjplRRpXNNskKRWlWaFKu0FFlZK5RzkDN281fb--5rsCEWexeMbRpqbTeEIs8BpRrPGsmrIzmUe1sVvXd78ofi_x_5AweXZ5Q</recordid><startdate>201105</startdate><enddate>201105</enddate><creator>Cardim, Luciana Lobato</creator><creator>Ferraudo, Antonio Sergio</creator><creator>Pacheco, Selma Turrioni Azevedo</creator><creator>Reis, Renato Barbosa</creator><creator>Silva, Marta Mariana Nascimento</creator><creator>Carneiro, Deborah Daniela M Trabuco</creator><creator>Bavia, Maria Emilia</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope></search><sort><creationdate>201105</creationdate><title>Identification of schistosomiasis risk areas using spatial analysis in Lauro de Freitas, Bahia State, Brazil</title><author>Cardim, Luciana Lobato ; Ferraudo, Antonio Sergio ; Pacheco, Selma Turrioni Azevedo ; Reis, Renato Barbosa ; Silva, Marta Mariana Nascimento ; Carneiro, Deborah Daniela M Trabuco ; Bavia, Maria Emilia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p140t-cb44fc4787c0b00c094cce51425fe16764ad585a3d126e4bc61d6b27bf413903</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>por</language><creationdate>2011</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Brazil - epidemiology</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Educational Status</topic><topic>Endemic Diseases - prevention & control</topic><topic>Female</topic><topic>Geographic Information Systems</topic><topic>Humans</topic><topic>Infant</topic><topic>Infant, Newborn</topic><topic>Male</topic><topic>Schistosomiasis mansoni - epidemiology</topic><topic>Schistosomiasis mansoni - prevention & control</topic><topic>Socioeconomic Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cardim, Luciana Lobato</creatorcontrib><creatorcontrib>Ferraudo, Antonio Sergio</creatorcontrib><creatorcontrib>Pacheco, Selma Turrioni Azevedo</creatorcontrib><creatorcontrib>Reis, Renato Barbosa</creatorcontrib><creatorcontrib>Silva, Marta Mariana Nascimento</creatorcontrib><creatorcontrib>Carneiro, Deborah Daniela M Trabuco</creatorcontrib><creatorcontrib>Bavia, Maria Emilia</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><jtitle>Cadernos de saúde pública</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cardim, Luciana Lobato</au><au>Ferraudo, Antonio Sergio</au><au>Pacheco, Selma Turrioni Azevedo</au><au>Reis, Renato Barbosa</au><au>Silva, Marta Mariana Nascimento</au><au>Carneiro, Deborah Daniela M Trabuco</au><au>Bavia, Maria Emilia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification of schistosomiasis risk areas using spatial analysis in Lauro de Freitas, Bahia State, Brazil</atitle><jtitle>Cadernos de saúde pública</jtitle><addtitle>Cad Saude Publica</addtitle><date>2011-05</date><risdate>2011</risdate><volume>27</volume><issue>5</issue><spage>899</spage><epage>908</epage><pages>899-908</pages><eissn>1678-4464</eissn><abstract>The spread of schistosomiasis mansoni defies efforts by Brazil's Unified National Health System, thus demonstrating the need to reassess endemic control programs in the country. The aim of this study was to demarcate geographic areas at risk of schistosomiasis in Lauro de Freitas, Bahia State, Brazil, and to establish the epidemiological and socioeconomic profile of the disease in this municipality (county). Kernel density estimator exploratory analysis was used for visual identification of areas at risk. Kulldorff & Nagarwalla's spatial analysis was used to obtain statistically significant clusters and to measure risk. These technologies identified four risk areas for schistosomiasis. Clusters identified within the risk areas were characterized by lower socioeconomic conditions. Multiple correspondence analyses showed a distinct profile for positive patients in the primary cluster. The techniques employed here represent an important methodological acquisition for tracking and controlling schistosomiasis in Lauro de Freitas.</abstract><cop>Brazil</cop><pmid>21655841</pmid><doi>10.1590/S0102-311X2011000500008</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | EISSN: 1678-4464 |
ispartof | Cadernos de saúde pública, 2011-05, Vol.27 (5), p.899-908 |
issn | 1678-4464 |
language | por |
recordid | cdi_proquest_miscellaneous_880134201 |
source | MEDLINE; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals |
subjects | Adolescent Adult Brazil - epidemiology Child Child, Preschool Educational Status Endemic Diseases - prevention & control Female Geographic Information Systems Humans Infant Infant, Newborn Male Schistosomiasis mansoni - epidemiology Schistosomiasis mansoni - prevention & control Socioeconomic Factors |
title | Identification of schistosomiasis risk areas using spatial analysis in Lauro de Freitas, Bahia State, Brazil |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T15%3A29%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Identification%20of%20schistosomiasis%20risk%20areas%20using%20spatial%20analysis%20in%20Lauro%20de%20Freitas,%20Bahia%20State,%20Brazil&rft.jtitle=Cadernos%20de%20sa%C3%BAde%20p%C3%BAblica&rft.au=Cardim,%20Luciana%20Lobato&rft.date=2011-05&rft.volume=27&rft.issue=5&rft.spage=899&rft.epage=908&rft.pages=899-908&rft.eissn=1678-4464&rft_id=info:doi/10.1590/S0102-311X2011000500008&rft_dat=%3Cproquest_pubme%3E880134201%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=880134201&rft_id=info:pmid/21655841&rfr_iscdi=true |