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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
1037	Centers for Disease Control and Prevention	Html	en	CDC Grand Rounds: Global Tobacco Control	This is another in a series of occasional MMWR reports titled CDC Grand Rounds. These reports are based on grand rounds presentations at CDC on high-profile issues in public health science, practice, and policy. Information about CDC Grand Rounds is available at http://www.	annual global consumption 0.480515 smokefree laws 0.464367 China National Tobacco 0.588411 Tobacco Industry 0.577503 Chaloupka FJ 0.472181 Global Tobacco Surveillance 0.590934 tobacco excise tax 0.567695 tobacco use costs 0.541077 tobacco 0.916247 Global Public Health 0.479077 comprehensive tobacco control 0.58844 World Health Organization 0.563449 average cigarette consumption 0.47038 tobacco use initiation 0.546291 countries 0.518292 excess health risks 0.459423 tobacco products 0.768658 cigarettes 0.476839 J. The tobacco 0.537957 private tobacco companies 0.588774 total cigarette price 0.47003 global cigarette consumption 0.47962 global tobacco control 0.587129 United States 0.521305 tobacco packages 0.559613	smokers 0.461468 tobacco advertising 0.61173 tobacco control policy 0.59649 significant health benefits 0.460529 Adult Tobacco Survey 0.625787 tobacco marketing bans 0.579436 Global Youth Tobacco 0.592705 cigarette consumption 0.495809 graphic warning labels 0.49353 tobacco sales worldwide 0.606522 H. Tobacco advertising 0.564787 smokefree public places 0.465778 Cigarette package health 0.470995 effective tobacco control 0.586957 Global Adult Tobacco 0.629526 well-enforced smokefree policies 0.463169 specific health warnings 0.460048 tobacco control policies 0.64573 Tob Control 0.482714 Tobacco Questions 0.55739 cigarette packages 0.466266 Canadian Cancer Society 0.487834 Tobacco plants 0.564941 tobacco control 0.843758	CLICK HERE
4533	Centers for Disease Control and Prevention	Html	en	Good Health Habits for Preventing Seasonal Flu	Good Health Habits for Preventing Seasonal Flu - CDC	better health habits 0.992609		CLICK HERE
4697	Centers for Disease Control and Prevention	Html	en	Cost-effectiveness analysis of efforts to reduce risk of type 2 diabetes and cardiovascular disease in southwestern Pennsylvania, 2005-2007	null	Diabetes Prevention Study 0.459497 cost-effectiveness ratio 0.313959 diabetes prevention 0.821409 Prospective Diabetes Study 0.273818 Pittsburgh Diabetes Institute 0.223708 impaired glucose tolerance 0.309162 Kingdom Prospective Diabetes 0.210552 1-way sensitivity analyses 0.26126 Da Qing Diabetes 0.273843 mDPP intervention cost 0.225352 Diabetes Study risk 0.22783 lifestyle intervention 0.319047 DPP lifestyle intervention 0.280425 Diabetes Prevention Support 0.277385 incremental cost-effectiveness 0.209833 complicated diabetes 0.209333 DPP intervention 0.233272	usual care 0.527609 stable diabetes stage 0.206335 mDPP intervention 0.358338 cost-effectiveness 0.326907 risk factors 0.272107 Diabetes Care 0.35576 original DPP 0.222441 Diabetes Prevention Programme 0.211634 cost-effectiveness ratios 0.210687 metabolic syndrome 0.930368 et al 0.393109 sensitivity analyses 0.405444 diabetes prevention program 0.72605 diabetes complication incidence 0.208226 intervention 0.408255 Finnish Diabetes Prevention 0.378555	CLICK HERE
5011	Centers for Disease Control and Prevention	Video	en	Your Wake-Up Call	In this 60 second public service announcement, Golden Globe and Academy Award-nominated actor and musician Terrance Howard urges Americans to be screened for colorectal cancer. Mr. Howard has a personal connection to the disease. He talks movingly about losing his mother to colon cancer, saying, "Let my heartbreak be your wake-up-call." Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html This video can also be viewed at http://www.cdc.gov/CDCTV/YourWakeUpCall/index.html	Wake-Up 0.987145		CLICK HERE
6294	Centers for Disease Control and Prevention	Html	en	Vital Signs: Alcohol-Impaired Driving Among Adults - United States, 2010 - Press Briefing Transcript: October 4, 2011	Vital Signs: Alcohol-Impaired Driving Among Adults — United States, 2010	young men age 0.337449 sobriety checkpoints 0.394774 fatal motor vehicle 0.427112 Tom Frieden 0.991916 risky drinking patterns 0.353992 ignition interlock programs 0.332066 Tom Skinner 0.850439 brief question 0.329832 David Beasley 0.385364 minimum legal drinking 0.474144 press star 0.433855 drivers.  Dr. Bergen 0.395548 broader societal costs. 0.393607 ignition interlock 0.376105 strong public support 0.324011 Dr. Gwen Bergen 0.446855 legal drinking age 0.478886 Shirley. Thank 0.37401 highways.  Sobriety checkpoints 0.346941 Mr. Tom skinner. 0.36761 Dr. Thomas Frieden 0.484462 young inexperienced drivers 0.335513 drunk driving.  Drinking 0.393106 Gwen Bergen 0.882616 Timothy Martin 0.362545	Operator 0.348706 driving.  Ignition interlocks 0.35832 ignition interlock systems 0.323006 Vital Signs 0.389593 ignition interlocks 0.381915 recent survey 0.324828 costs.  Dr. Bergen 0.391223 Daniel DeNoon 0.435499 interesting.  Thank 0.335929 monthly sobriety checkpoints. 0.332243 drink.  Binge drinking 0.386166 Vital Signs report 0.325978 drunk driving 0.557788 age drinking laws 0.392364 question 0.637821 people 0.386742 drinking age laws 0.478344 medical costs 0.34268 motor vehicle crashes 0.590563 Mike Stobbe 0.557088 Dr. Bergen 0.891914 Dr. Frieden 0.695499 Damien McNamara 0.3713 blood alcohol concentration 0.322512	CLICK HERE
8575	Centers for Disease Control and Prevention	Html	en	PanFlu Storybook - War Stories, William L. Perry	War Stories, The first cases of illness from the 1918 flu pandemic in the United States were reported from Fort Riley, Kansas on March 11 when an Army private became ill; complaining of fever, sore throat, and headache. Military personnel were greatly impacted by the virus and many young recruits were dead from the flu before they ever saw combat.	pandemic flu 0.663051 Campobello 0.362867 William Lawrence Perry 0.796346 William’s death 0.417555 train station 0.439227 flu epidemic 0.689442 livery service 0.509432 church–sponsored social gathering 0.778504	South Carolina 0.863541 Linda Mulvihill 0.565778 death certificate 0.416383 flu stricken soldiers 0.974776 children 0.2198 ) service. 0.449591 general store 0.47418 Lilly 0.453934	CLICK HERE
9799	Centers for Disease Control and Prevention	Html	en	Chronic Fatigue Syndrome (CFS) - Treating the Most Disruptive Symptoms First	null	bed 0.237798 severe fatigue 0.476778 thinking 0.237693 times 0.237969 Institute 0.233133 complex disease 0.390667 understanding 0.233113 health care providers 0.539427 ME/CFS 0.833269 dizziness 0.257062 pain 0.235244 timely diagnosis 0.403076 committee 0.23346 IOM 0.260819	Americans 0.236337 encephalomyelitis/chronic fatigue syndrome 0.995804 sleep problems 0.402557 usual activities 0.430562 body systems 0.430988 people 0.311776 symptoms 0.233915 symptom 0.252966 post-exertional malaise 0.428804 long-term illness 0.481315 new diagnostic criteria 0.557353 PEM 0.255933 Myal­gic Encephalomyelitis/Chronic Fatigue 0.602573	CLICK HERE
11250	Centers for Disease Control and Prevention	Html	es	Mayo es el Mes deConcientización sobre el Asma	Aprenda a controlar su asma.	Archivo Apple Quicktime 0.766595 Archivo Zip Comprimido 0.762406 infecciones respiratorias 0.667801 Archivo Microsoft PowerPoint 0.786418 Archivo Adobe PDF 0.765036	Archivo Microsoft Excel 0.761928 causa episodios 0.680493 Estados Unidos 0.673432 Archivo Microsoft 0.954426	CLICK HERE
12778	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Prevalence of Risk Factors for SuicideAmong Veterinarians - United States, 2014	Please note: An erratum has been published for this article. To view the erratum, please click here.	veterinary medical associations 0.576926 mental health 0.606677 depressive episodes 0.559508 Human Services 0.547349 VIN News Service 0.607502 Tracy K. Witte 0.59031 psychological distress 0.762075 female respondents 0.627566 livestock department 0.517904 Suicide Among Veterinarians 0.709267 risk factors 0.74992 Local Readiness 0.556183 Paul D. Pion 0.55791 commonly reported age 0.576851 suicidal ideation 0.698979 underlying risk factors 0.57302 suicidal behavior 0.718811 Randall J. Nett 0.756047 small animal medicine 0.696829 Renee H. Funk 0.583401 Daniel R. O'Leary 0.594697 lower lifetime prevalence 0.58784 Kris K. Carter 0.583598 effective prevention methods 0.558266	Katie M. Kurkjian 0.5877 Karl J. Musgrave 0.590814 State health departments 0.613178 prevalence estimates 0.525443 Kessler-6 psychological distress 0.751624 Brigid L. Elchos 0.590562 Kerry R. Pride 0.58468 Enzo R. Campagnolo 0.598781 social desirability bias 0.567755 U.S. veterinarians 0.971581 Veterinary Information Network 0.730867 Public Health Veterinarians 0.748841 Stacy M. Holzbauer 0.597277 Veterinary Medical Association 0.57477 Colorado State University 0.580211 Public Health Preparedness 0.703706 suicide risk factors 0.621572 Mental Health Investigation 0.605564 JAVMA News 0.593635 female U.S. adults 0.729743 psychological distress scale 0.75158 Animal Health 0.532818 veterinary medicine 0.51696 suicide attempts 0.56542	CLICK HERE
13835	Centers for Disease Control and Prevention	Html	en	Selected Diagnosed Chronic Conditions by Sexual Orientation:A National Study of US Adults, 2013	Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention.	gay/lesbian adults 0.515128 sexual orientation 0.770826 Sample Adult data 0.407884 Chronic Conditions Strategic 0.384983 significant differences 0.502635 National Health Interview 0.499023 diagnosed chronic conditions 0.415616 multiple chronic conditions 0.401584 health insurance status 0.396577 gay/lesbian women 0.413738 Survey Sample Adult 0.40813 Sample Adult Core 0.395516 current asthma 0.401366 estimates 0.412766 undiagnosed chronic conditions 0.376447 Interview Survey Sample 0.409777 bisexual adults 0.549012 response rate 0.383551 Health Interview Survey 0.500042 prevalent chronic conditions 0.385452 straight adults 0.509464 arthritis 0.401221 sociodemographic characteristics 0.409828 chronic bronchitis 0.392175	obstructive pulmonary disease 0.48146 study 0.391932 chronic health conditions 0.426987 adults 0.641871 straight men 0.381174 sexual minority 0.438007 straight women 0.390514 percentage points 0.444893 prevalence estimates 0.375981 prevalence 0.505968 additional chronic conditions 0.374916 health care 0.384897 sexual minority groups 0.411954 sample adult 0.471335 annual combined family 0.393933 age-adjusted prevalence 0.384894 MCC 0.41864 chronic conditions 0.907648 bisexual women 0.375651 percentage-point higher prevalence 0.397997 relative standard error 0.393146 gay men 0.374268 Adult data file 0.412085 coronary heart disease 0.431828	CLICK HERE