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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
742	Centers for Disease Control and Prevention	Html	en	School Located Influenza Vaccination Info | Administering Vaccine	School-located vaccination: Administering Vaccine, Adverse Events, Recording Information, Legal Issues, FERPA, HIPAA - CDC	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
2996	Centers for Disease Control and Prevention	Video	en	Surgeon General Video Contest: We Deserve a Chance to Live Out Our Dreams!	Kids learn about life by watching their parents. What if kids grew up in a smoke-free world? Created by first runner-up, Taylor Blackwell.	Rap 0.339269 Taylor Blackwell 0.496437 CDC 0.59864 Candy-Flavored Tobacco 0.410485 perfect roll 0.39007 Catherine Tate 0.385017 Slate Magazine 0.397194 smoke-free world 0.40976 Disease Control 0.910341 Smokers Believe Secondhand 0.48744 Duplin TRU Team 0.477636 runner 0.621024 Impact 0.338056 industria 0.321775 age category 0.399524 comment policy 0.399338 Ric Blackwell 0.40026 sec ad 0.396285 Duration 0.913243 Florida 0.318601 YouTube 0.319913 simple guide 0.396138 Tobacco 0.460569 Buerger 0.319325	Quitline NZ 0.398329 http://streaming.cdc.gov/vod.php?id=f.. 0.319265 Blackwell Acting Reel 0.467423 Comic Relief 0.384859 parents 0.319381 Centers 0.461506 Adderall XR 0.400155 David Tennant 0.388663 Grand Prize 0.69862 life 0.337982 Liza Weil smoking2 0.465515 Prevention 0.461333 Crayons 0.320802 Yo tengo el 0.502504 Video Contest 0.400892 views 0.730871 kids 0.340645 Cigarettes Smoke 0.39407 CDC Tips 0.451514 accordance 0.318605 Comments 0.318404 Ages 0.556102 poder 0.320122 Surgeon General 0.400355	CLICK HERE
4690	Centers for Disease Control and Prevention	Html	en	Commute times, food retail gaps, and body mass index in North Carolina counties	null	North Carolina 0.448328 commute time 0.390185 rural residents 0.380633 North Carolina Department 0.21281 special food services 0.206743 county-level independent variables 0.201504 county-level food sales 0.226185 individual-level bmi 0.282425 county-level variables 0.21118 mean county-level commute 0.262666 county-level BMI 0.272693 county-level mean BMI 0.318146 longer commute times 0.221117 BMI 0.325295 average commute time 0.208621	drinking places 0.245558 commute times 0.635556 NAICS code 0.211841 specialty food stores 0.222786 county-level sales 0.221783 food retail gap 0.925332 county-level retail sales 0.206841 county-level commute time 0.290969 North Carolina counties 0.274497 county-level commute times 0.355083 food retail gaps 0.320831 county-level diversity index 0.20896 county-level demand 0.231366 capita 0.273709	CLICK HERE
7360	Centers for Disease Control and Prevention	Html	en	Sickle Cell Disease: AJ Green's Story | CDC Features	September is Sickle Cell Awareness Month and Newborn Screening Awareness Month. Read about the importance of screening for sickle cell and AJ Green’s experience with the disease.	red blood cells 0.417987 blood cell disorders 0.368183 Healthy red blood 0.35449 Sickle Cell Awareness 0.448243 sickle cell trait 0.435794 sickle cells 0.409159 Cell Disease Association 0.364515 sickle cell disease 0.918847 antibiotic medicine 0.345759 real lack 0.325146 harmful infections 0.363576 sickle cell crisis 0.469074 blood flow 0.331307 quality medical care 0.339868 blood diseases 0.325476 small blood vessels 0.387269 AJ 0.337281 acute chest syndrome 0.345761 newborn screening 0.542388 painful sickle cell 0.432507 Elton John 0.323092 problems 0.323425 daily dose 0.345667 appropriate care 0.323378	constant shortage 0.32697 Pam Green 0.322989 C-shaped farm tool 0.350166 bigger goals 0.323747 blood drive campaign 0.346029 complex disease 0.33225 Regular health checkups 0.340733 actual disease 0.336819 regular childhood vaccines 0.337791 hospital 0.326625 newborn screening test 0.363774 minority blood donors 0.344686 AJ Green 0.334082 Canadian Tenors 0.323769 people 0.324135 primary care doctor 0.340411 eat healthy food 0.340781 physical activity 0.323224 certain medical conditions 0.340393 Remington College 0.323206 PKU shot 0.348267 Newborn Screening Awareness 0.37094 cell disease advocate 0.364831 high profile disease 0.353161	CLICK HERE
8332	Centers for Disease Control and Prevention	Html	en	TB - Basic TB Facts - TB Personal Stories	Division of Tuberculosis Elimination	latent TB infection 0.644718 treatment 0.381576 high school 0.203777 night sweats 0.209705 unexplained weight loss 0.290472 hardest parts 0.202004 extracurricular activities 0.211967 United States 0.211084 TB survivor 0.443269	TB disease 0.768439 emergency room 0.209528 family member 0.214575 cough medicine 0.211709 TB 0.901576 health worker check 0.270974 local TB program 0.463141 peer counselor 0.312133 family 0.246555	CLICK HERE
13370	Centers for Disease Control and Prevention	Html	en	Information for Health Care Workers | Rat-bite Fever (RBF) |CDC	null	Spirillum minus 0.592867 diagnosis assistance 0.349598 gram-negative microaerophilic bacillus 0.590191 pleomorphic gram-negative bacilli 0.529052 North America 0.383047 rodent exposure 0.380331 rat-bite fever 0.524699 Recent case reports 0.472357 severe nausea/vomiting 0.36162 RBF 0.992699 characteristic spirochetes 0.364356 Streptobacillus moniliformis 0.566834 body fluids 0.348574 infected rodent 0.408287 incidence rates 0.357316 preliminary diagnosis 0.352634 state public health 0.46335 maculopapular rash 0.402834 distinct rash 0.394079 Person-to-person transmission 0.374664 nationally notifiable disease 0.47721 normal respiratory flora 0.519663 United States 0.345649 natural reservoir 0.364429 appropriate specimens 0.464556	Haverhill fever 0.754032 rodent species 0.397142 S. moniliformis 0.937049 Accurate data 0.346047 incubation period 0.378627 differential stains 0.34583 motile spirochete 0.413623 S. minus 0.420297 incubation conditions 0.362119 fever onset 0.478596 red plaques 0.353843 potential risk 0.34816 untreated RBF 0.69899 common symptoms 0.361821 mortality rate 0.348635 Following partial healing 0.476928 positive culture 0.34776 disease incidence 0.356641 rat bite 0.361391 synovial fluid 0.351658 Initial symptoms 0.366155 infected animal 0.365841 specific media 0.349932 darkfield microscopy 0.343958	CLICK HERE
15740	Centers for Disease Control and Prevention	Html	en	Increases in Fentanyl-Related Overdose Deaths - Florida andOhio, 2013-2015 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	butyryl fentanyl 0.457236 fentanyl submissions 0.576695 fentanyl submissions data 0.465404 morphine-positive fentanyl deaths 0.501671 opioid overdose decedents 0.364812 law enforcement submissions 0.359746 medical examiner 0.399909 fentanyl analogs 0.654363 fentanyl death surveillance 0.469295 drug 0.359304 fentanyl-related overdose deaths 0.419138 overdose deaths 0.436637 fentanyl death rates 0.502165 distinguishing deaths 0.351195 IMF 0.374347 overdose risk 0.345598 National Forensic Laboratory 0.35222 Florida illicit market 0.344856 Florida 0.425255 highest fentanyl death 0.4877 persons 0.355702 fentanyl’s potency 0.471206 fentanyl decedents 0.526304 prescription fentanyl 0.485881	fentanyl overdoses 0.483865 illicitly manufactured fentanyl 0.497857 fentanyl death 0.533264 heroin overdose decedents 0.37259 mental health disorder 0.384888 acetyl fentanyl 0.480103 fentanyl analog submissions 0.460061 emergency medical services 0.355419 increases 0.354234 high-burden counties 0.375388 Forensic Laboratory Information 0.352166 fentanyl deaths 0.975106 overdose scene characteristics 0.346 fentanyl mortality 0.503053 U.S. fentanyl deaths 0.503014 Ohio Department 0.349221 law enforcement 0.412813 public health 0.382613 fentanyl overdose decedents 0.535727 Drug Enforcement Administration 0.355863 risk profiles 0.345206 sharp increases 0.349418 drug products 0.348054 Ohio 0.422203	CLICK HERE
15748	Centers for Disease Control and Prevention	Html	en	Differences in Fruit and Vegetable Intake by Race/Ethnicityand by Hispanic Origin and Nativity Among Women in the SpecialSupplemental Nutrition Program for Women, Infants, and Children,2015	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.	non-Hispanic black participants 0.560753 Risk Factor Surveillance 0.508221 Supplemental Nutrition Program 0.503923 vegetable module 0.491142 food security status 0.597301 diverse Hispanic origin 0.499315 social desirability trait 0.942546 South American women 0.51374 foreign-born Hispanics 0.651338 non-Hispanic white elders 0.487304 total intake 0.498893 William Paterson University 0.496421 language preference 0.685414 fruit juice 0.537432 orange-colored vegetables 0.62651 Special Supplemental Nutrition 0.505659 Hispanic origin 0.627206 post hoc tests 0.570344 Hispanic origin groups 0.540291 wic program 0.4881 Hispanic WIC participants 0.54875 Fresh Start participants 0.490816 fruit intake 0.513941 Behavioral Risk Factor 0.508294 study 0.487809	carotenoid intake 0.50269 United States 0.494334 fruit 0.652997 educational attainment 0.495849 differences 0.536285 vegetables 0.667419 low-income Hispanic women 0.509737 WIC nutrition policies 0.50718 race/ethnicity 0.496541 higher social desirability 0.493244 juice intake 0.488899 non-Hispanic blacks 0.579038 intake differences 0.524329 non-Hispanic whites 0.555024 multiple Hispanic origin 0.488321 participants 0.612267 WIC Fresh Start 0.611438 Bonferroni post hoc 0.575741 vegetable intake 0.779823 non-Hispanic white participants 0.547011 Hispanic participants 0.597428 higher intake 0.507363 non-Hispanic white women 0.545907 mean difference 0.532907	CLICK HERE
16169	Centers for Disease Control and Prevention	Html	en	HPV Vaccine Information For Young Women	HPV - STD information from CDC. Fact Sheets, Statistics, Treatment Guidelines, Resources for Clinicians and Educators.	HPV types— 0.203411 HPV vaccination 0.344921 HPV test 0.237064 HPV vaccine 0.80765 HPV types 0.486735 cervical cancer 0.691177 targeted HPV types 0.242999	HPV 0.931484 genital warts 0.28749 Genital HPV 0.246161 HPV infection 0.23045 HPV vaccines 0.211736 HPV infections 0.202104	CLICK HERE
16460	Centers for Disease Control and Prevention	Html	en	Characteristics of Electronic Cigarette Use Among Middle andHigh School Students - United States, 2015 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	e-cigarette advertising 0.386574 complex survey design 0.383411 conventional cigarettes 0.381949 multiple device types 0.379791 e-cigarette brands 0.406684 comprehensive tobacco control 0.455588 product types 0.46234 nicotine exposure 0.426682 U.S. Surgeon General 0.386633 commonly used e-cigarette 0.45294 response rate 0.3836 tobacco product dependence 0.394422 tobacco products 0.456261 public health practice 0.392917 commonly reported brand 0.497195 prevention strategies 0.378352 e-cigarette product types 0.425031 Connecticut high school 0.391616 U.S. middle 0.520845 United States 0.438236 Drug Administration 0.389259 youths 0.611918 products 0.458892 Hispanic students 0.398656	nicotine delivery 0.396715 nationally representative sample 0.38035 U.S. students 0.378488 tobacco product 0.633647 brands 0.43107 middle school students 0.427365 substances 0.384343 rechargeable/refillable e-cigarettes 0.53826 e-cigarette users 0.440235 commonly reported brands 0.421561 certain e-cigarette marketers 0.400269 high school students 0.982371 e-cigarettes 0.820511 National Youth Tobacco 0.402011 U.S. youths 0.533109 Nicotine content 0.391399 relative standard error 0.380805 commonly used tobacco 0.573958 high school students.* 0.401242 Table). 0.39851 NYTS response rate 0.380165 disposable e-cigarettes 0.44469 heavily advertised e-cigarette 0.402367 non-Hispanic black students 0.48868	CLICK HERE