Mortality due to road traffic accidents in Brazil in the last decade: trends and risk clusters
OBJECTIVE: To analyze the temporal trends of mortality due to Road Traffic Accidents (RTA) as well as identify the existence and location of high risk death clusters for RTA using spatial analysis. METHODOLOGY: Descriptive study of temporal trends by RTA, pedestrians, motorcyclists, motorists and pa...
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Veröffentlicht in: | Ciência & saude coletiva 2012-09, Vol.17 (9), p.2223 |
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creator | Otaliba Libânio de Morais Neto Marli deMesquita Silva Montenegro Rosane Aparecida Monteiro João Bosco Siqueira Júnior Marta Maria Alves da Silva de Lima, Cheila Marina Luiz Otávio Maciel Miranda Deborah Carvalho Malta |
description | OBJECTIVE: To analyze the temporal trends of mortality due to Road Traffic Accidents (RTA) as well as identify the existence and location of high risk death clusters for RTA using spatial analysis. METHODOLOGY: Descriptive study of temporal trends by RTA, pedestrians, motorcyclists, motorists and passengers and spatial analysis for 2000 and 2010. The data was obtained from the Mortality Information System, and standardized rates were calculated by age in Brazilian states and municipalities grouped by population size. RESULTS: The mortality rates due to RTA between 2000 and 2010 varied from 18 to 22.5 deaths/100,000 inhabitants. The risk of death for pedestrians decreased in recent years, though motorists, motorcyclists and passengers saw a rising trend. A higher risk of death by RTA occurred in municipalities with populations up to 20,000 inhabitants and in those from 20,000 to 100,000 inhabitants. Spatial analysis revealed risk clusters for RTA and motorcyclists and pillion riders with an increase between 2000 and 2010 and enlargement of the areas most at risk in the Northeast. CONCLUSION: Increase in the rates of mortality by RTA mostly in the Northeast. Coordinated action between government, civil society and the citizens themselves is required to tackle this problem. |
doi_str_mv | 10.1590/S1413-81232012000900002 |
format | Article |
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METHODOLOGY: Descriptive study of temporal trends by RTA, pedestrians, motorcyclists, motorists and passengers and spatial analysis for 2000 and 2010. The data was obtained from the Mortality Information System, and standardized rates were calculated by age in Brazilian states and municipalities grouped by population size. RESULTS: The mortality rates due to RTA between 2000 and 2010 varied from 18 to 22.5 deaths/100,000 inhabitants. The risk of death for pedestrians decreased in recent years, though motorists, motorcyclists and passengers saw a rising trend. A higher risk of death by RTA occurred in municipalities with populations up to 20,000 inhabitants and in those from 20,000 to 100,000 inhabitants. Spatial analysis revealed risk clusters for RTA and motorcyclists and pillion riders with an increase between 2000 and 2010 and enlargement of the areas most at risk in the Northeast. CONCLUSION: Increase in the rates of mortality by RTA mostly in the Northeast. Coordinated action between government, civil society and the citizens themselves is required to tackle this problem.</description><identifier>ISSN: 1413-8123</identifier><identifier>EISSN: 1678-4561</identifier><identifier>DOI: 10.1590/S1413-81232012000900002</identifier><language>por</language><publisher>Rio de Janeiro: Associação Brasileira de Saúde Coletiva</publisher><subject>Automobile drivers ; Cluster analysis ; Mortality ; Spatial analysis ; Traffic ; Trends</subject><ispartof>Ciência & saude coletiva, 2012-09, Vol.17 (9), p.2223</ispartof><rights>Copyright Associação Brasileira de Saúde Coletiva Sep 2012</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>314,777,781,27905,27906</link.rule.ids></links><search><creatorcontrib>Otaliba Libânio de Morais Neto</creatorcontrib><creatorcontrib>Marli deMesquita Silva Montenegro</creatorcontrib><creatorcontrib>Rosane Aparecida Monteiro</creatorcontrib><creatorcontrib>João Bosco Siqueira Júnior</creatorcontrib><creatorcontrib>Marta Maria Alves da Silva</creatorcontrib><creatorcontrib>de Lima, Cheila Marina</creatorcontrib><creatorcontrib>Luiz Otávio Maciel Miranda</creatorcontrib><creatorcontrib>Deborah Carvalho Malta</creatorcontrib><title>Mortality due to road traffic accidents in Brazil in the last decade: trends and risk clusters</title><title>Ciência & saude coletiva</title><description>OBJECTIVE: To analyze the temporal trends of mortality due to Road Traffic Accidents (RTA) as well as identify the existence and location of high risk death clusters for RTA using spatial analysis. 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Coordinated action between government, civil society and the citizens themselves is required to tackle this problem.</description><subject>Automobile drivers</subject><subject>Cluster analysis</subject><subject>Mortality</subject><subject>Spatial analysis</subject><subject>Traffic</subject><subject>Trends</subject><issn>1413-8123</issn><issn>1678-4561</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqNjrtOAzEQRa0IpITHNzAS9ZKxvXksJQiUJhXURCN7VjhYNni8BXw9RoKe4uoe6Z7iKnWl8UavBlw-6V7bbquNNagNIg4taGZqodebbdev1vqk8Z80V2cixyZsbG8W6mWfS6UY6if4iaFmKJk81ELjGByQc8FzqgIhwV2hrxB_qL4yRJIKnh15vm0-Jy9AyUMJ8gYuTlK5yIU6HSkKX_72ubp-fHi-33XvJX9MLPVwzFNJbTq0t4PB3iLa_1nfHAhLJg</recordid><startdate>20120901</startdate><enddate>20120901</enddate><creator>Otaliba Libânio de Morais Neto</creator><creator>Marli deMesquita Silva Montenegro</creator><creator>Rosane Aparecida Monteiro</creator><creator>João Bosco Siqueira Júnior</creator><creator>Marta Maria Alves da Silva</creator><creator>de Lima, Cheila Marina</creator><creator>Luiz Otávio Maciel Miranda</creator><creator>Deborah Carvalho Malta</creator><general>Associação Brasileira de Saúde Coletiva</general><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>L6V</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7S</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope></search><sort><creationdate>20120901</creationdate><title>Mortality due to road traffic accidents in Brazil in the last decade: trends and risk clusters</title><author>Otaliba Libânio de Morais Neto ; Marli deMesquita Silva Montenegro ; Rosane Aparecida Monteiro ; João Bosco Siqueira Júnior ; Marta Maria Alves da Silva ; de Lima, Cheila Marina ; Luiz Otávio Maciel Miranda ; Deborah Carvalho Malta</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_16792043003</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>por</language><creationdate>2012</creationdate><topic>Automobile drivers</topic><topic>Cluster analysis</topic><topic>Mortality</topic><topic>Spatial analysis</topic><topic>Traffic</topic><topic>Trends</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Otaliba Libânio de Morais Neto</creatorcontrib><creatorcontrib>Marli deMesquita Silva Montenegro</creatorcontrib><creatorcontrib>Rosane Aparecida Monteiro</creatorcontrib><creatorcontrib>João Bosco Siqueira Júnior</creatorcontrib><creatorcontrib>Marta Maria Alves da Silva</creatorcontrib><creatorcontrib>de Lima, Cheila Marina</creatorcontrib><creatorcontrib>Luiz Otávio Maciel Miranda</creatorcontrib><creatorcontrib>Deborah Carvalho Malta</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Engineering Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Ciência & saude coletiva</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Otaliba Libânio de Morais Neto</au><au>Marli deMesquita Silva Montenegro</au><au>Rosane Aparecida Monteiro</au><au>João Bosco Siqueira Júnior</au><au>Marta Maria Alves da Silva</au><au>de Lima, Cheila Marina</au><au>Luiz Otávio Maciel Miranda</au><au>Deborah Carvalho Malta</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mortality due to road traffic accidents in Brazil in the last decade: trends and risk clusters</atitle><jtitle>Ciência & saude coletiva</jtitle><date>2012-09-01</date><risdate>2012</risdate><volume>17</volume><issue>9</issue><spage>2223</spage><pages>2223-</pages><issn>1413-8123</issn><eissn>1678-4561</eissn><abstract>OBJECTIVE: To analyze the temporal trends of mortality due to Road Traffic Accidents (RTA) as well as identify the existence and location of high risk death clusters for RTA using spatial analysis. METHODOLOGY: Descriptive study of temporal trends by RTA, pedestrians, motorcyclists, motorists and passengers and spatial analysis for 2000 and 2010. The data was obtained from the Mortality Information System, and standardized rates were calculated by age in Brazilian states and municipalities grouped by population size. RESULTS: The mortality rates due to RTA between 2000 and 2010 varied from 18 to 22.5 deaths/100,000 inhabitants. The risk of death for pedestrians decreased in recent years, though motorists, motorcyclists and passengers saw a rising trend. A higher risk of death by RTA occurred in municipalities with populations up to 20,000 inhabitants and in those from 20,000 to 100,000 inhabitants. Spatial analysis revealed risk clusters for RTA and motorcyclists and pillion riders with an increase between 2000 and 2010 and enlargement of the areas most at risk in the Northeast. CONCLUSION: Increase in the rates of mortality by RTA mostly in the Northeast. 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source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
subjects | Automobile drivers Cluster analysis Mortality Spatial analysis Traffic Trends |
title | Mortality due to road traffic accidents in Brazil in the last decade: trends and risk clusters |
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