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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
4949	Centers for Disease Control and Prevention	Html	en	Motor Vehicle Injuries	Preventing motor vehicle injuries is a winnable battle. Motor vehicle-related injuries are the leading cause of death in the first three decades of life.	significant impact 0.350147 useful information 0.330466 United States 0.383357 public health partners 0.540788 PowerPoint slides 0.367999 cause 0.204378 case studies 0.333373 Vehicle Injuries Winnable 0.749884 local levels 0.504216 nation’s health 0.346518 motor vehicle 0.702657 visit www.cdc.gov/Motorvehiclesafety 0.323312	priority area 0.355239 contact adprogram 0.331958 additional effort 0.3527 motor vehicle injury 0.579898 Battle materials 0.344105 Winnable Battle 0.912495 programmatic interventions 0.387404 specific data 0.333726 Motor vehicle-related injuries 0.702371 road traffic crashes 0.605578 cost-effective strategies 0.363186	CLICK HERE
6218	Centers for Disease Control and Prevention	Html	en	Science Clips - Monday, August 22, 2011	null	impaired lung function 0.538913 current awareness 0.413724 food stamp program 0.520146 social determinants 0.431585 Disease Control 0.419979 CDC Science Clips 0.908188 restrictive lung pattern 0.539152 historical exposures 0.421295 occupational history 0.413728 Nutrition Examination Survey 0.516646 indirect costs 0.423756 Chief Science Officer 0.551909 historical exposure 0.415467 non-melanoma skin cancer 0.550193 DHHS 0.452357 National Health 0.431814 HPV vaccine impact 0.53611 body weight status 0.524523 public domain 0.437375 Public Health Rep. 0.546339 Student Research Contest 0.532867 competitive female cyclists 0.511828 Stephen B. Thacker 0.76588 primary manufacturing facility 0.679618 Pericardial fat 0.434017	at-risk populations 0.424844 potential life 0.427515 United States 0.420771 bike seats 0.415641 Immunization Practices 0.417397 Human papillomavirus 0.432256 Advisory Committee 0.415445 unhealthy foods 0.431485 weekly digest 0.43543 Jackson Heart Study 0.537016 chronic beryllium disease 0.688733 public health literature 0.527068 B. Thacker CDC 0.93049 systematic review 0.542595 U.S. low-income women 0.525526 Genet Med. 0.435359 human pregnancy 0.420577 original authors 0.417224 Prev Med. 0.441954 non-CDC Websites 0.413969 examine hospitalization rates 0.535292 original sources 0.43835 data systems 0.424961 news sources 0.419818	CLICK HERE
6232	Centers for Disease Control and Prevention	Html	en	Adult Smoking in the US - CDC Vital Signs	CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics.	smoking-related disease 0.334167 American adults 0.333189 Mortality Weekly Report 0.385725 smoke-free laws 0.343282 health care provider 0.582462 Tobacco Use Epidemic 0.621083 effective way 0.314109 smoke-free indoor air 0.417923 Implement hard-hitting media 0.393838 R= Raise taxes 0.37826 tobacco 0.949738 fewer cigarettes 0.348317 largest preventable cause 0.420546 occasional smoking 0.464628 comprehensive tobacco control 0.621007 tobacco smoke 0.611901 World Health Organization 0.404679 direct medical costs 0.407119 highly addictive drug 0.398447 health care costs 0.585119 tobacco industry 0.546126 tobacco products 0.771769 battle—a public health 0.426138 hard-hitting media campaigns 0.602136 O=Offer help 0.317486	Vital Signs Issue 0.388572 multiple times 0.313331 step-by-step quit guide 0.508155 non-nicotine containing medications 0.40805 adults 0.34287 M=Monitor tobacco 0.522114 tobacco advertising 0.518057 tobacco marketing 0.506971 minimum age requirement 0.386537 Vital Minute Podcast 0.373346 adult smoking rate 0.435891 different people 0.315526 health care 0.640857 adult daily smokers 0.465145 secondhand smoke exposure 0.633872 tobacco control policies 0.642878 tobacco control program 0.624812 people 0.315936 tobacco product indoors 0.590804 smoking-related death 0.33588 cigarette price increases 0.411377 fewer smokers 0.360565 smoking-related causes 0.346512 tobacco taxation 0.539502	CLICK HERE
7648	Centers for Disease Control and Prevention	Html	en	Comprehensive Smoke-Free Laws - 50 Largest U.S. Cities, 2000and 2012	Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov.	state tobacco-related laws 0.340859 North Carolina 0.299308 Control Laws Database 0.350513 comprehensive state protections 0.311978 local SHS protections 0.390555 U.S. Tobacco Control 0.325046 local CSF law 0.589787 statewide CSF laws 0.484044 largest cities 0.36295 statewide smoking restrictions 0.345341 ineffective smoking restrictions 0.339866 completely eliminating smoking 0.30051 comprehensive local protections 0.306029 state smoke-free laws 0.396873 New local CSF 0.41238 CSF policy coverage 0.394958 large U.S. cities 0.292241 comprehensive state smoking 0.342914 comprehensive SHS protections 0.31961 state csf laws 0.686153 state administrative laws 0.319627 smoke-free policies 0.29444 southern United States 0.394984 state tobacco-related legislation 0.303626	smoking restrictions 0.97362 local laws 0.34188 smoke-free workplace policies 0.28701 local smoking restrictions 0.761152 CSF laws 0.957711 U.S. population 0.306189 local jurisdictions 0.286701 local action 0.283813 local CSF 0.621009 state smoking restrictions 0.721165 largest U.S. cities 0.619217 local CSF laws 0.578059 SHS exposure 0.310025 State Tobacco Activities 0.301109 smoke-free policy coverage 0.292128 state laws 0.321055 state CSF law 0.590533 state preemption laws 0.323948 local level 0.291429 public health protections 0.285434 strongest smoking restrictions 0.359859 state level 0.369262 SHS protections 0.399284	CLICK HERE
9796	Centers for Disease Control and Prevention	Html	en	Chronic Fatigue Syndrome (CFS) - Monitoring the Use of All Medicines and Supplement	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
10700	Centers for Disease Control and Prevention	Html	en	Short and Extended Messages'Pneumonic Plague' Communicating in the First Hours	The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency.	MPEG 0.378858 search 0.263099 PDF 0.261307 PPT 0.446092	DOC 0.368812 information 0.262482 different file formats 0.938484 page 0.276773	CLICK HERE
10982	Centers for Disease Control and Prevention	Html	en	EID News Synopsis: June 2014 | CDC Media Relations	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	well-separated continents 0.44739 Central America 0.43802 Health Science 0.447809 new technology 0.445574 multiple genotypes 0.43569 Zika virus 0.695003 Jaymin C. Patel 0.554095 CDC study 0.50655 Lin-Fa Wang 0.449199 North America 0.444449 North Pacific 0.433853 genetically related phleboviruses 0.568154 NC USA 0.431013 closely related viruses 0.561044 malaria treatment policies 0.577799 Democratic Republic 0.437318 South Pacific 0.550186 virus reemergence 0.485689 future epidemics 0.436638 respiratory infections 0.458602 public health risks 0.561306 drug-resistant malaria 0.482344 phlebovirus infection 0.440772 similar tick-borne viruses 0.603444 half century 0.430546	Disease journal page 0.572675 Infectious Diseases 0.456406 malaria parasites 0.464572 different genotypes 0.436818 United States 0.447601 CSIRO Animal 0.440761 similar viruses 0.471679 drug-resistant parasites 0.460715 disease outbreak 0.462626 public health journal 0.59609 North Carolina-Chapel Hill 0.558681 Genetic analysis 0.680223 Institut Louis Malardé 0.782459 tick-borne phlebovirus 0.451952 Australian Animal Health 0.563989 mosquito-borne virus 0.499989 Van-Mai Cao-Lormeau 0.575136 18-year absence 0.437424 p.m. EDT 0.473669 French Polynesia 0.960911 malaria transmission 0.458936 dengue virus serotype 0.860188 linfa.wang@csiro.au 0.446856 dengue serotypes 0.503611	CLICK HERE
12462	Centers for Disease Control and Prevention	Video	en	Novel Influenza and Pertussis	Introducing Novel Influenza workgroup, Influenza A (H5N1) Epidemiology and Vaccine, GRADE and Policy Options for Influenza A (H5N1) Vaccine, Introduction Pertussis, Health-Care Personnel Pertussis and Tdap Vaccination 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://ftp.cdc.gov/pub/vaccines/acip/Oct2014/NovelInfluenza_Pertussis.mp4	Pertussis 0.8002	Novel Influenza 0.91238	CLICK HERE
13720	Centers for Disease Control and Prevention	Html	en	Cassie's Story	The story of Cassie, a 42-year-old woman with a family history of breast cancer.	instructions 0.330138 BringYourBrave 0.328656 genetic testingTests 0.455003 ovaries 0.35914 mom’s sisters 0.481845 changes 0.331125 husband 0.327717 BRCA1 0.363427 BRCA gene mutation.BRCA 0.617571 BRCA2 0.331 bilateral mastectomy—to 0.468475 genetic counseling 0.456663 mother 0.37161 http://1.usa.gov/1Nlua9j 0.328675 mutations 0.334032 world 0.32739 hereditary breast cancer 0.618104 international aid worker 0.562278 children 0.359201 aunt 0.339369 action 0.327432 BReast CAncer gene 0.680587	Cassie 0.73221 ovarian cancer risk 0.583338 genetic change 0.453965 family members 0.580525 higher risk 0.591522 BRCA gene 0.628868 breast cancer risk 0.653181 genes 0.331094 breast cancer 0.982135 nonprofit consultant 0.445855 birth 0.328159 disease. 0.329944 doctor 0.328265 chemical database 0.463246 BRCA gene mutation 0.590761 family history 0.448497 40s 0.339763 cancer risk 0.661496 difference 0.327528 body’s functions 0.455996 age 0.33062 child 0.3526	CLICK HERE
15707	Centers for Disease Control and Prevention	Html	en	Contact Lens-Related Corneal Infections - United States,2005-2015 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	reports 0.439604 MDR database 0.483754 central corneal scar 0.443734 FDA Safety Information 0.434635 direct health care 0.381483 certain adverse events 0.375966 cosmetic lenses 0.426921 contact lenses 0.94496 health care professionals 0.379486 eye damage 0.446045 prescribed period 0.380324 Rigid gas-permeable lenses 0.453636 MDR report 0.402751 Event Reporting program 0.425167 FDA’s Medical 0.386137 modifiable factors 0.416597 daily disposable lenses 0.624464 corneal transplant 0.381809 microbial keratitis 0.418231 public health practice 0.373952 poor contact lens 0.421115 modifiable risk factor 0.379897 wear lenses 0.541248 eye care providers 0.435144 contact lens MDRs 0.428105	soft extended-wear lenses 0.476012 contact lens wearers 0.58075 daily wear lenses 0.531829 contact lens MDR 0.459701 gas permeable lenses 0.455137 device user 0.400158 soft daily wear 0.422977 Drug Administration 0.410895 contact lens 0.682651 eye care provider 0.49764 contact lens wear 0.463917 FDA MDR database 0.435045 contact lens manufacturers 0.419308 modifiable risk factors 0.423136 extended wear lenses 0.466637 adverse events 0.50354 corneal infections 0.419577 contact lens manufacturer 0.423761 Adverse Event Reporting 0.428497 corneal infection 0.41708 expired lenses 0.442445 urgent care 0.402604 FDA’s MDR 0.390566 eye infections 0.46707	CLICK HERE