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State or market? How to effectively decrease alcohol-related crash fatalities and injuries
BackgroundIt is estimated that more than 270 000 people die yearly in alcohol-related crashes globally. To tackle this burden, government interventions, such as laws which restrict blood alcohol concentration (BAC) levels and increase penalties for drunk drivers, have been implemented. The introduct...
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Published in: | Journal of epidemiology and community health (1979) 2020-06, Vol.74 (6), p.502-509 |
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description | BackgroundIt is estimated that more than 270 000 people die yearly in alcohol-related crashes globally. To tackle this burden, government interventions, such as laws which restrict blood alcohol concentration (BAC) levels and increase penalties for drunk drivers, have been implemented. The introduction of private-sector measures, such as ridesharing, is regarded as alternatives to reduce drunk driving and related sequelae. However, it is unclear whether state and private efforts complement each other to reduce this public health challenge.MethodsWe conducted interrupted time-series analyses using weekly alcohol-related traffic fatalities and injuries per 1 000 000 population in three urban conglomerates (Santiago, Valparaíso and Concepción) in Chile for the period 2010–2017. We selected cities in which two state interventions—the ‘zero tolerance law’ (ZTL), which decreased BAC, and the ‘Emilia law’ (EL), which increased penalties for drunk drivers—were implemented to decrease alcohol-related crashes, and where Uber ridesharing was launched.ResultsIn Santiago, the ZTL was associated with a 29.1% decrease (95% CI 1.2 to 70.2), the EL with a 41.0% decrease (95% CI 5.5 to 93.2) and Uber with a non-significant 28.0% decrease (95% CI −6.4 to 78.5) in the level of weekly alcohol-related traffic fatalities and injuries per 1 000 000 population series. In Concepción, the EL was associated with a 28.9% reduction (95% CI 4.3 to 62.7) in the level of the same outcome. In Valparaíso, the ZTL had a −0.01 decrease (95% CI −0.02 to −0.00) in the trend of weekly alcohol-related crashes per 1 000 000 population series.ConclusionIn Chile, concomitant decreases of alcohol-related crashes were observed after two state interventions were implemented but not with the introduction of Uber. Relationships between public policy interventions, ridesharing and motor vehicle alcohol-related crashes differ between cities and over time, which might reflect differences in specific local characteristics. |
doi_str_mv | 10.1136/jech-2019-213191 |
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How to effectively decrease alcohol-related crash fatalities and injuries</title><source>JSTOR Archival Journals and Primary Sources Collection</source><source>BMJ Journals</source><creator>Nazif-Muñoz, Jose I ; Batomen, Brice ; Oulhote, Youssef ; Spengler, Jack ; Nandi, Arijit</creator><creatorcontrib>Nazif-Muñoz, Jose I ; Batomen, Brice ; Oulhote, Youssef ; Spengler, Jack ; Nandi, Arijit</creatorcontrib><description>BackgroundIt is estimated that more than 270 000 people die yearly in alcohol-related crashes globally. To tackle this burden, government interventions, such as laws which restrict blood alcohol concentration (BAC) levels and increase penalties for drunk drivers, have been implemented. The introduction of private-sector measures, such as ridesharing, is regarded as alternatives to reduce drunk driving and related sequelae. However, it is unclear whether state and private efforts complement each other to reduce this public health challenge.MethodsWe conducted interrupted time-series analyses using weekly alcohol-related traffic fatalities and injuries per 1 000 000 population in three urban conglomerates (Santiago, Valparaíso and Concepción) in Chile for the period 2010–2017. We selected cities in which two state interventions—the ‘zero tolerance law’ (ZTL), which decreased BAC, and the ‘Emilia law’ (EL), which increased penalties for drunk drivers—were implemented to decrease alcohol-related crashes, and where Uber ridesharing was launched.ResultsIn Santiago, the ZTL was associated with a 29.1% decrease (95% CI 1.2 to 70.2), the EL with a 41.0% decrease (95% CI 5.5 to 93.2) and Uber with a non-significant 28.0% decrease (95% CI −6.4 to 78.5) in the level of weekly alcohol-related traffic fatalities and injuries per 1 000 000 population series. In Concepción, the EL was associated with a 28.9% reduction (95% CI 4.3 to 62.7) in the level of the same outcome. In Valparaíso, the ZTL had a −0.01 decrease (95% CI −0.02 to −0.00) in the trend of weekly alcohol-related crashes per 1 000 000 population series.ConclusionIn Chile, concomitant decreases of alcohol-related crashes were observed after two state interventions were implemented but not with the introduction of Uber. Relationships between public policy interventions, ridesharing and motor vehicle alcohol-related crashes differ between cities and over time, which might reflect differences in specific local characteristics.</description><identifier>ISSN: 0143-005X</identifier><identifier>EISSN: 1470-2738</identifier><identifier>DOI: 10.1136/jech-2019-213191</identifier><identifier>PMID: 32238476</identifier><language>eng</language><publisher>England: BMJ Publishing Group LTD</publisher><subject><![CDATA[Accidents, Traffic - legislation & jurisprudence ; Accidents, Traffic - mortality ; Accidents, Traffic - prevention & control ; Adult ; Age ; Alcohol ; Alcohol Drinking - adverse effects ; Alcohol Drinking - blood ; Alcohol Drinking - epidemiology ; Alcoholic beverages ; Alcohols ; Automobile Driving - legislation & jurisprudence ; Blood Alcohol Content ; Blood levels ; Car pools ; Cellular telephones ; Chile - epidemiology ; Cities ; Complications ; Conglomerates ; Connectivity ; Driving ability ; Driving Under the Influence - legislation & jurisprudence ; Driving Under the Influence - prevention & control ; Driving Under the Influence - statistics & numerical data ; Drunk driving ; Fatalities ; Female ; Humans ; Injuries ; Interrupted Time Series Analysis ; Law ; Male ; Mortality ; Motor vehicles ; Original Research ; Per capita ; Police ; Population ; Public health ; Public Policy ; Ride sharing services ; Sanctions ; State intervention ; Traffic ; Urban Population ; Vehicles ; Wounds and Injuries - epidemiology ; Wounds and Injuries - prevention & control]]></subject><ispartof>Journal of epidemiology and community health (1979), 2020-06, Vol.74 (6), p.502-509</ispartof><rights>Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.</rights><rights>2020 Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: https://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b460t-91784972a9a17e2687891963d26b57283c60fe8d1df89f80f2009c7eb2db22993</citedby><cites>FETCH-LOGICAL-b460t-91784972a9a17e2687891963d26b57283c60fe8d1df89f80f2009c7eb2db22993</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://jech.bmj.com/content/74/6/502.full.pdf$$EPDF$$P50$$Gbmj$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://jech.bmj.com/content/74/6/502.full$$EHTML$$P50$$Gbmj$$Hfree_for_read</linktohtml><link.rule.ids>112,113,230,314,780,784,885,3192,27923,27924,77365,77366</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32238476$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nazif-Muñoz, Jose I</creatorcontrib><creatorcontrib>Batomen, Brice</creatorcontrib><creatorcontrib>Oulhote, Youssef</creatorcontrib><creatorcontrib>Spengler, Jack</creatorcontrib><creatorcontrib>Nandi, Arijit</creatorcontrib><title>State or market? How to effectively decrease alcohol-related crash fatalities and injuries</title><title>Journal of epidemiology and community health (1979)</title><addtitle>J Epidemiol Community Health</addtitle><description>BackgroundIt is estimated that more than 270 000 people die yearly in alcohol-related crashes globally. To tackle this burden, government interventions, such as laws which restrict blood alcohol concentration (BAC) levels and increase penalties for drunk drivers, have been implemented. The introduction of private-sector measures, such as ridesharing, is regarded as alternatives to reduce drunk driving and related sequelae. However, it is unclear whether state and private efforts complement each other to reduce this public health challenge.MethodsWe conducted interrupted time-series analyses using weekly alcohol-related traffic fatalities and injuries per 1 000 000 population in three urban conglomerates (Santiago, Valparaíso and Concepción) in Chile for the period 2010–2017. We selected cities in which two state interventions—the ‘zero tolerance law’ (ZTL), which decreased BAC, and the ‘Emilia law’ (EL), which increased penalties for drunk drivers—were implemented to decrease alcohol-related crashes, and where Uber ridesharing was launched.ResultsIn Santiago, the ZTL was associated with a 29.1% decrease (95% CI 1.2 to 70.2), the EL with a 41.0% decrease (95% CI 5.5 to 93.2) and Uber with a non-significant 28.0% decrease (95% CI −6.4 to 78.5) in the level of weekly alcohol-related traffic fatalities and injuries per 1 000 000 population series. In Concepción, the EL was associated with a 28.9% reduction (95% CI 4.3 to 62.7) in the level of the same outcome. In Valparaíso, the ZTL had a −0.01 decrease (95% CI −0.02 to −0.00) in the trend of weekly alcohol-related crashes per 1 000 000 population series.ConclusionIn Chile, concomitant decreases of alcohol-related crashes were observed after two state interventions were implemented but not with the introduction of Uber. Relationships between public policy interventions, ridesharing and motor vehicle alcohol-related crashes differ between cities and over time, which might reflect differences in specific local characteristics.</description><subject>Accidents, Traffic - legislation & jurisprudence</subject><subject>Accidents, Traffic - mortality</subject><subject>Accidents, Traffic - prevention & control</subject><subject>Adult</subject><subject>Age</subject><subject>Alcohol</subject><subject>Alcohol Drinking - adverse effects</subject><subject>Alcohol Drinking - blood</subject><subject>Alcohol Drinking - epidemiology</subject><subject>Alcoholic beverages</subject><subject>Alcohols</subject><subject>Automobile Driving - legislation & jurisprudence</subject><subject>Blood Alcohol Content</subject><subject>Blood levels</subject><subject>Car pools</subject><subject>Cellular telephones</subject><subject>Chile - epidemiology</subject><subject>Cities</subject><subject>Complications</subject><subject>Conglomerates</subject><subject>Connectivity</subject><subject>Driving ability</subject><subject>Driving Under the Influence - legislation & jurisprudence</subject><subject>Driving Under the Influence - prevention & control</subject><subject>Driving Under the Influence - statistics & numerical data</subject><subject>Drunk driving</subject><subject>Fatalities</subject><subject>Female</subject><subject>Humans</subject><subject>Injuries</subject><subject>Interrupted Time Series Analysis</subject><subject>Law</subject><subject>Male</subject><subject>Mortality</subject><subject>Motor vehicles</subject><subject>Original Research</subject><subject>Per capita</subject><subject>Police</subject><subject>Population</subject><subject>Public health</subject><subject>Public Policy</subject><subject>Ride sharing services</subject><subject>Sanctions</subject><subject>State intervention</subject><subject>Traffic</subject><subject>Urban Population</subject><subject>Vehicles</subject><subject>Wounds and Injuries - epidemiology</subject><subject>Wounds and Injuries - prevention & control</subject><issn>0143-005X</issn><issn>1470-2738</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>9YT</sourceid><recordid>eNqFkc1rFTEUxUNR2tePfVcScCOUsfmYl4-NIkVtodCFFsRNyGRufDPmTdok09L_vnm8WrQbV0m4v3O4JwehY0reU8rF6Qhu1TBCdcMop5ruoAVtJWmY5OoVWhDa8oaQ5Y89tJ_zSOpVMr2L9jhjXLVSLNDPb8UWwDHhtU2_oXzE5_Eel4jBe3BluIPwgHtwCWwGbIOLqxiaBKGqeuySzSvsbbFhKANkbKceD9M4p_o4RK-9DRmOns4DdP3l8_ez8-by6uvF2afLpmsFKY2mUrVaMqstlcCEkkpTLXjPRFfXVdwJ4kH1tPdKe0U8I0Q7CR3rO8a05gfow9b3Zu7W0DuYSrLB3KShRnow0Q7m38k0rMyveGckZ0Tqthq8ezJI8XaGXMx6yA5CsBPEOZv6V0vJBRcb9O0LdIxzmmo8w1rBOF8qyipFtpRLMecE_nkZSsymOLMpzmyKM9viquTN3yGeBX-aqsDJFujW4__tHgG2i6HX</recordid><startdate>202006</startdate><enddate>202006</enddate><creator>Nazif-Muñoz, Jose I</creator><creator>Batomen, Brice</creator><creator>Oulhote, Youssef</creator><creator>Spengler, Jack</creator><creator>Nandi, Arijit</creator><general>BMJ Publishing Group LTD</general><general>BMJ Publishing Group</general><scope>9YT</scope><scope>ACMMV</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>88I</scope><scope>8AF</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AN0</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>202006</creationdate><title>State or market? How to effectively decrease alcohol-related crash fatalities and injuries</title><author>Nazif-Muñoz, Jose I ; Batomen, Brice ; Oulhote, Youssef ; Spengler, Jack ; Nandi, Arijit</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b460t-91784972a9a17e2687891963d26b57283c60fe8d1df89f80f2009c7eb2db22993</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Accidents, Traffic - legislation & jurisprudence</topic><topic>Accidents, Traffic - mortality</topic><topic>Accidents, Traffic - prevention & control</topic><topic>Adult</topic><topic>Age</topic><topic>Alcohol</topic><topic>Alcohol Drinking - adverse effects</topic><topic>Alcohol Drinking - blood</topic><topic>Alcohol Drinking - epidemiology</topic><topic>Alcoholic beverages</topic><topic>Alcohols</topic><topic>Automobile Driving - legislation & jurisprudence</topic><topic>Blood Alcohol Content</topic><topic>Blood levels</topic><topic>Car pools</topic><topic>Cellular telephones</topic><topic>Chile - epidemiology</topic><topic>Cities</topic><topic>Complications</topic><topic>Conglomerates</topic><topic>Connectivity</topic><topic>Driving ability</topic><topic>Driving Under the Influence - legislation & jurisprudence</topic><topic>Driving Under the Influence - prevention & control</topic><topic>Driving Under the Influence - statistics & numerical data</topic><topic>Drunk driving</topic><topic>Fatalities</topic><topic>Female</topic><topic>Humans</topic><topic>Injuries</topic><topic>Interrupted Time Series Analysis</topic><topic>Law</topic><topic>Male</topic><topic>Mortality</topic><topic>Motor vehicles</topic><topic>Original Research</topic><topic>Per capita</topic><topic>Police</topic><topic>Population</topic><topic>Public health</topic><topic>Public Policy</topic><topic>Ride sharing services</topic><topic>Sanctions</topic><topic>State intervention</topic><topic>Traffic</topic><topic>Urban Population</topic><topic>Vehicles</topic><topic>Wounds and Injuries - epidemiology</topic><topic>Wounds and Injuries - prevention & control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nazif-Muñoz, Jose I</creatorcontrib><creatorcontrib>Batomen, Brice</creatorcontrib><creatorcontrib>Oulhote, Youssef</creatorcontrib><creatorcontrib>Spengler, Jack</creatorcontrib><creatorcontrib>Nandi, Arijit</creatorcontrib><collection>BMJ Open Access Journals</collection><collection>BMJ Journals:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><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>Psychology Database (Alumni)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>British Nursing Database</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>BMJ Journals</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>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</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 One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of epidemiology and community health (1979)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nazif-Muñoz, Jose I</au><au>Batomen, Brice</au><au>Oulhote, Youssef</au><au>Spengler, Jack</au><au>Nandi, Arijit</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>State or market? How to effectively decrease alcohol-related crash fatalities and injuries</atitle><jtitle>Journal of epidemiology and community health (1979)</jtitle><addtitle>J Epidemiol Community Health</addtitle><date>2020-06</date><risdate>2020</risdate><volume>74</volume><issue>6</issue><spage>502</spage><epage>509</epage><pages>502-509</pages><issn>0143-005X</issn><eissn>1470-2738</eissn><abstract>BackgroundIt is estimated that more than 270 000 people die yearly in alcohol-related crashes globally. To tackle this burden, government interventions, such as laws which restrict blood alcohol concentration (BAC) levels and increase penalties for drunk drivers, have been implemented. The introduction of private-sector measures, such as ridesharing, is regarded as alternatives to reduce drunk driving and related sequelae. However, it is unclear whether state and private efforts complement each other to reduce this public health challenge.MethodsWe conducted interrupted time-series analyses using weekly alcohol-related traffic fatalities and injuries per 1 000 000 population in three urban conglomerates (Santiago, Valparaíso and Concepción) in Chile for the period 2010–2017. We selected cities in which two state interventions—the ‘zero tolerance law’ (ZTL), which decreased BAC, and the ‘Emilia law’ (EL), which increased penalties for drunk drivers—were implemented to decrease alcohol-related crashes, and where Uber ridesharing was launched.ResultsIn Santiago, the ZTL was associated with a 29.1% decrease (95% CI 1.2 to 70.2), the EL with a 41.0% decrease (95% CI 5.5 to 93.2) and Uber with a non-significant 28.0% decrease (95% CI −6.4 to 78.5) in the level of weekly alcohol-related traffic fatalities and injuries per 1 000 000 population series. In Concepción, the EL was associated with a 28.9% reduction (95% CI 4.3 to 62.7) in the level of the same outcome. In Valparaíso, the ZTL had a −0.01 decrease (95% CI −0.02 to −0.00) in the trend of weekly alcohol-related crashes per 1 000 000 population series.ConclusionIn Chile, concomitant decreases of alcohol-related crashes were observed after two state interventions were implemented but not with the introduction of Uber. Relationships between public policy interventions, ridesharing and motor vehicle alcohol-related crashes differ between cities and over time, which might reflect differences in specific local characteristics.</abstract><cop>England</cop><pub>BMJ Publishing Group LTD</pub><pmid>32238476</pmid><doi>10.1136/jech-2019-213191</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Accidents, Traffic - legislation & jurisprudence Accidents, Traffic - mortality Accidents, Traffic - prevention & control Adult Age Alcohol Alcohol Drinking - adverse effects Alcohol Drinking - blood Alcohol Drinking - epidemiology Alcoholic beverages Alcohols Automobile Driving - legislation & jurisprudence Blood Alcohol Content Blood levels Car pools Cellular telephones Chile - epidemiology Cities Complications Conglomerates Connectivity Driving ability Driving Under the Influence - legislation & jurisprudence Driving Under the Influence - prevention & control Driving Under the Influence - statistics & numerical data Drunk driving Fatalities Female Humans Injuries Interrupted Time Series Analysis Law Male Mortality Motor vehicles Original Research Per capita Police Population Public health Public Policy Ride sharing services Sanctions State intervention Traffic Urban Population Vehicles Wounds and Injuries - epidemiology Wounds and Injuries - prevention & control |
title | State or market? How to effectively decrease alcohol-related crash fatalities and injuries |
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