Territorialization using georreferencing and stratification of the social vulnerability of families in Primary Care

This article describes a process of territorialization undertaken in Family Health Strategy micro-areas by a team of residents from the Interprofessional Public Health Residency Program at Cariri Regional University using georeferencing tools and the stratification of families according to degree of...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Ciência & saude coletiva 2021-06, Vol.26 (6), p.2141-2148
Hauptverfasser: Oliveira Calistro, Monyelle de, Teixeira, Ygor, Silva Lacerda, Izabel Ricaelle Argentino, Mendes de Sousa, Samara, Neto, Joao Agostinho, Pimentel Duavy, Sandra Mara, Brito, Francisco Elizaudo, Jr. de
Format: Artikel
Sprache:eng ; por
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 2148
container_issue 6
container_start_page 2141
container_title Ciência & saude coletiva
container_volume 26
creator Oliveira Calistro, Monyelle de
Teixeira, Ygor
Silva Lacerda, Izabel Ricaelle Argentino
Mendes de Sousa, Samara
Neto, Joao Agostinho
Pimentel Duavy, Sandra Mara
Brito, Francisco Elizaudo, Jr. de
description This article describes a process of territorialization undertaken in Family Health Strategy micro-areas by a team of residents from the Interprofessional Public Health Residency Program at Cariri Regional University using georeferencing tools and the stratification of families according to degree of social vulnerability. A map of social vulnerability was created using SWMaps and Google Earth Pro based on sociodemographic and clinical data obtained from forms A and B of the e-SUS and inputted into an Excel worksheet. The families were stratified into five degrees of vulnerability based on the overall score obtained for a set of socioeconomic and clinical sentinel indicators: without risk, low risk, medium risk, high risk and very high risk. During the territorialization process, we identified streets and side streets and georeferenced points of risk, social facilities, registered and unregistered families, and vacant homes. Over half of the 615 georeferenced families (316 or 51.38%) were not registered in the e-SUS or had not completed their registration at the time of data collection. Most of the 299 registered families (60.53%) were classified as being at low risk and a considerable portion were medium risk.
doi_str_mv 10.1590/1413-81232021266.39402020
format Article
fullrecord <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_2549206034</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A677352724</galeid><sourcerecordid>A677352724</sourcerecordid><originalsourceid>FETCH-LOGICAL-g289t-32f9e5513ea8f7d8ee88b6027da886d76ad90292cb250ecdc91dfe21b1563df83</originalsourceid><addsrcrecordid>eNptz01PwyAcBvDGaKJOvwPGix46eWkpPS6LL4smetBzw-BPxXSgQI366WWZJi4xHHiA30OgKE4InpK6xRekIqwUhDKKKaGcT1lb4ZzxTnFAeCPKquZkN-dft18cxviCMW1YRQ-K-Agh2OSDlYP9ksl6h8ZoXY968CGAgQBOrdfSaRRTyMRYtYHeoPQMKHqV2-h9HBwEubSDTZ_rMyNXOUNE1qGHYFcyfKK5DHBU7Bk5RDj-mSfF09Xl4_ymvLu_Xsxnd2VPRZtKRk0LdU0YSGEaLQCEWPL8cC2F4LrhUreYtlQtaY1BadUSbYCSJak500awSXG2ufc1-LcRYupWNioYBunAj7GjddVSzDGrMj3d0F4O0FlnfP6pWvNuxpuG1bShazX9R-WhYWWVd2Bs3t8qnG8VsknwkXo5xtjdPiz-2m9TpIxy</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2549206034</pqid></control><display><type>article</type><title>Territorialization using georreferencing and stratification of the social vulnerability of families in Primary Care</title><source>EZB-FREE-00999 freely available EZB journals</source><creator>Oliveira Calistro, Monyelle de ; Teixeira, Ygor ; Silva Lacerda, Izabel Ricaelle Argentino ; Mendes de Sousa, Samara ; Neto, Joao Agostinho ; Pimentel Duavy, Sandra Mara ; Brito, Francisco Elizaudo, Jr. de</creator><creatorcontrib>Oliveira Calistro, Monyelle de ; Teixeira, Ygor ; Silva Lacerda, Izabel Ricaelle Argentino ; Mendes de Sousa, Samara ; Neto, Joao Agostinho ; Pimentel Duavy, Sandra Mara ; Brito, Francisco Elizaudo, Jr. de</creatorcontrib><description>This article describes a process of territorialization undertaken in Family Health Strategy micro-areas by a team of residents from the Interprofessional Public Health Residency Program at Cariri Regional University using georeferencing tools and the stratification of families according to degree of social vulnerability. A map of social vulnerability was created using SWMaps and Google Earth Pro based on sociodemographic and clinical data obtained from forms A and B of the e-SUS and inputted into an Excel worksheet. The families were stratified into five degrees of vulnerability based on the overall score obtained for a set of socioeconomic and clinical sentinel indicators: without risk, low risk, medium risk, high risk and very high risk. During the territorialization process, we identified streets and side streets and georeferenced points of risk, social facilities, registered and unregistered families, and vacant homes. Over half of the 615 georeferenced families (316 or 51.38%) were not registered in the e-SUS or had not completed their registration at the time of data collection. Most of the 299 registered families (60.53%) were classified as being at low risk and a considerable portion were medium risk.</description><identifier>ISSN: 1413-8123</identifier><identifier>EISSN: 1678-4561</identifier><identifier>DOI: 10.1590/1413-81232021266.39402020</identifier><language>eng ; por</language><publisher>Associacao Brasileira de Pos-Graduacao em Saude Coletiva - ABRASCO</publisher><ispartof>Ciência &amp; saude coletiva, 2021-06, Vol.26 (6), p.2141-2148</ispartof><rights>COPYRIGHT 2021 Associacao Brasileira de Pos-Graduacao em Saude Coletiva - ABRASCO</rights><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>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Oliveira Calistro, Monyelle de</creatorcontrib><creatorcontrib>Teixeira, Ygor</creatorcontrib><creatorcontrib>Silva Lacerda, Izabel Ricaelle Argentino</creatorcontrib><creatorcontrib>Mendes de Sousa, Samara</creatorcontrib><creatorcontrib>Neto, Joao Agostinho</creatorcontrib><creatorcontrib>Pimentel Duavy, Sandra Mara</creatorcontrib><creatorcontrib>Brito, Francisco Elizaudo, Jr. de</creatorcontrib><title>Territorialization using georreferencing and stratification of the social vulnerability of families in Primary Care</title><title>Ciência &amp; saude coletiva</title><description>This article describes a process of territorialization undertaken in Family Health Strategy micro-areas by a team of residents from the Interprofessional Public Health Residency Program at Cariri Regional University using georeferencing tools and the stratification of families according to degree of social vulnerability. A map of social vulnerability was created using SWMaps and Google Earth Pro based on sociodemographic and clinical data obtained from forms A and B of the e-SUS and inputted into an Excel worksheet. The families were stratified into five degrees of vulnerability based on the overall score obtained for a set of socioeconomic and clinical sentinel indicators: without risk, low risk, medium risk, high risk and very high risk. During the territorialization process, we identified streets and side streets and georeferenced points of risk, social facilities, registered and unregistered families, and vacant homes. Over half of the 615 georeferenced families (316 or 51.38%) were not registered in the e-SUS or had not completed their registration at the time of data collection. Most of the 299 registered families (60.53%) were classified as being at low risk and a considerable portion were medium risk.</description><issn>1413-8123</issn><issn>1678-4561</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>KPI</sourceid><recordid>eNptz01PwyAcBvDGaKJOvwPGix46eWkpPS6LL4smetBzw-BPxXSgQI366WWZJi4xHHiA30OgKE4InpK6xRekIqwUhDKKKaGcT1lb4ZzxTnFAeCPKquZkN-dft18cxviCMW1YRQ-K-Agh2OSDlYP9ksl6h8ZoXY968CGAgQBOrdfSaRRTyMRYtYHeoPQMKHqV2-h9HBwEubSDTZ_rMyNXOUNE1qGHYFcyfKK5DHBU7Bk5RDj-mSfF09Xl4_ymvLu_Xsxnd2VPRZtKRk0LdU0YSGEaLQCEWPL8cC2F4LrhUreYtlQtaY1BadUSbYCSJak500awSXG2ufc1-LcRYupWNioYBunAj7GjddVSzDGrMj3d0F4O0FlnfP6pWvNuxpuG1bShazX9R-WhYWWVd2Bs3t8qnG8VsknwkXo5xtjdPiz-2m9TpIxy</recordid><startdate>20210601</startdate><enddate>20210601</enddate><creator>Oliveira Calistro, Monyelle de</creator><creator>Teixeira, Ygor</creator><creator>Silva Lacerda, Izabel Ricaelle Argentino</creator><creator>Mendes de Sousa, Samara</creator><creator>Neto, Joao Agostinho</creator><creator>Pimentel Duavy, Sandra Mara</creator><creator>Brito, Francisco Elizaudo, Jr. de</creator><general>Associacao Brasileira de Pos-Graduacao em Saude Coletiva - ABRASCO</general><scope>KPI</scope><scope>INF</scope><scope>7X8</scope></search><sort><creationdate>20210601</creationdate><title>Territorialization using georreferencing and stratification of the social vulnerability of families in Primary Care</title><author>Oliveira Calistro, Monyelle de ; Teixeira, Ygor ; Silva Lacerda, Izabel Ricaelle Argentino ; Mendes de Sousa, Samara ; Neto, Joao Agostinho ; Pimentel Duavy, Sandra Mara ; Brito, Francisco Elizaudo, Jr. de</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-g289t-32f9e5513ea8f7d8ee88b6027da886d76ad90292cb250ecdc91dfe21b1563df83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng ; por</language><creationdate>2021</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Oliveira Calistro, Monyelle de</creatorcontrib><creatorcontrib>Teixeira, Ygor</creatorcontrib><creatorcontrib>Silva Lacerda, Izabel Ricaelle Argentino</creatorcontrib><creatorcontrib>Mendes de Sousa, Samara</creatorcontrib><creatorcontrib>Neto, Joao Agostinho</creatorcontrib><creatorcontrib>Pimentel Duavy, Sandra Mara</creatorcontrib><creatorcontrib>Brito, Francisco Elizaudo, Jr. de</creatorcontrib><collection>Gale In Context: Global Issues</collection><collection>Gale OneFile: Informe Academico</collection><collection>MEDLINE - Academic</collection><jtitle>Ciência &amp; saude coletiva</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Oliveira Calistro, Monyelle de</au><au>Teixeira, Ygor</au><au>Silva Lacerda, Izabel Ricaelle Argentino</au><au>Mendes de Sousa, Samara</au><au>Neto, Joao Agostinho</au><au>Pimentel Duavy, Sandra Mara</au><au>Brito, Francisco Elizaudo, Jr. de</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Territorialization using georreferencing and stratification of the social vulnerability of families in Primary Care</atitle><jtitle>Ciência &amp; saude coletiva</jtitle><date>2021-06-01</date><risdate>2021</risdate><volume>26</volume><issue>6</issue><spage>2141</spage><epage>2148</epage><pages>2141-2148</pages><issn>1413-8123</issn><eissn>1678-4561</eissn><abstract>This article describes a process of territorialization undertaken in Family Health Strategy micro-areas by a team of residents from the Interprofessional Public Health Residency Program at Cariri Regional University using georeferencing tools and the stratification of families according to degree of social vulnerability. A map of social vulnerability was created using SWMaps and Google Earth Pro based on sociodemographic and clinical data obtained from forms A and B of the e-SUS and inputted into an Excel worksheet. The families were stratified into five degrees of vulnerability based on the overall score obtained for a set of socioeconomic and clinical sentinel indicators: without risk, low risk, medium risk, high risk and very high risk. During the territorialization process, we identified streets and side streets and georeferenced points of risk, social facilities, registered and unregistered families, and vacant homes. Over half of the 615 georeferenced families (316 or 51.38%) were not registered in the e-SUS or had not completed their registration at the time of data collection. Most of the 299 registered families (60.53%) were classified as being at low risk and a considerable portion were medium risk.</abstract><pub>Associacao Brasileira de Pos-Graduacao em Saude Coletiva - ABRASCO</pub><doi>10.1590/1413-81232021266.39402020</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1413-8123
ispartof Ciência & saude coletiva, 2021-06, Vol.26 (6), p.2141-2148
issn 1413-8123
1678-4561
language eng ; por
recordid cdi_proquest_miscellaneous_2549206034
source EZB-FREE-00999 freely available EZB journals
title Territorialization using georreferencing and stratification of the social vulnerability of families in Primary Care
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-08T01%3A31%3A16IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Territorialization%20using%20georreferencing%20and%20stratification%20of%20the%20social%20vulnerability%20of%20families%20in%20Primary%20Care&rft.jtitle=Ci%C3%AAncia%20&%20saude%20coletiva&rft.au=Oliveira%20Calistro,%20Monyelle%20de&rft.date=2021-06-01&rft.volume=26&rft.issue=6&rft.spage=2141&rft.epage=2148&rft.pages=2141-2148&rft.issn=1413-8123&rft.eissn=1678-4561&rft_id=info:doi/10.1590/1413-81232021266.39402020&rft_dat=%3Cgale_proqu%3EA677352724%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2549206034&rft_id=info:pmid/&rft_galeid=A677352724&rfr_iscdi=true