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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
1227	Centers for Disease Control and Prevention	Html	en	Drowsy Driving and Risk Behaviors - 10 States and PuertoRico, 2011-2012	Anne G. Wheaton, PhD1, Ruth A. Shults, PhD2, Daniel P.	collision avoidance systems 0.465129 binge drinkers 0.495152 Janet B. Croft 0.481501 adult respondents 0.475312 binge drinking 0.560862 risk behaviors 0.522002 smoking status 0.522224 fatal motor vehicle 0.487135 state health departments 0.475081 alcohol-impaired driving crashes 0.546874 National Center 0.46328 Daniel P. Chapman 0.482915 response rate 0.470162 insufficient sleep 0.492125 Unintentional Injury Prevention 0.469634 blood alcohol content 0.51898 respondents 0.519396 sleep-related crashes 0.497868 self-reported smoking status 0.475349 Frequent insufficient sleep 0.486966 Earl S. Ford 0.480362 Behavioral Risk Factor 0.480301 drowsy driving 0.977924 Puerto Rico 0.715395	drowsy drivers 0.595427 United States 0.521919 drowsy driving prevalence 0.629866 non-drowsy driving crashes 0.533605 Ruth A. Shults 0.483501 motor vehicle injury 0.533622 Anne G. Wheaton 0.548415 Traffic Safety Administration 0.467062 highway safety countermeasures 0.46541 fatal crashes 0.494136 sleep disorders 0.484508 random-digit–dialed telephone survey 0.479021 response rates 0.507927 non-binge drinkers 0.484229 complex sampling design 0.472121 vehicle injury prevention 0.533465 median survey response 0.487205 Chronic Disease Prevention 0.467391 drowsy driving crashes 0.81755 wear seatbelts 0.500559 longer drowsy 0.548712 optional sleep module 0.544268 Community Preventive Services 0.468516 motor vehicle crashes 0.586186	CLICK HERE
9616	Centers for Disease Control and Prevention	Html	en	Asthma - BRFSS 2008 - Child Asthma Data - Table L1	BRFSS 2008 - Child Asthma Data - Table L1	Puerto Rico 0.660865 data 0.356915 CI 0.418695 normal approximation 0.657786 values 0.370138 standard error 0.62778 states 0.356687 Total 0.357067	confidence interval 0.944821 small sample size 0.785087 caution 0.400131 District 0.356459 Notes 0.362349 binomial distribution 0.650666 estimates 0.385103	CLICK HERE
11414	Centers for Disease Control and Prevention	Html	null	Start your Conversation | Talk About HIV/AIDS | We Can Stop HIV One Conversation | Campaigns | Act Against AIDS	Suggestions to start a conversation about HIV/AIDS with families, friends, and within Hispanic/Latino communities			CLICK HERE
11429	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Prevalence of Partially Hydrogenated Oils in US Packaged Foods, 2012 - CDC	Although there is evidence that consumption of trans fat has declined in the United States, limited documentation exists on current levels of industrial trans fat in foods. We estimated the prevalence of partially hydrogenated oils in 4,340 top-selling US packaged foods. Nine percent of products in the sample contained partially hydrogenated oils; 84% of these products listed “0 grams” of trans fat per serving, potentially leading consumers to underestimate their trans fat consumption. Government efforts to eliminate partially hydrogenated oils from packaged foods will substantially reduce exposure to this known cardiovascular disease risk factor.	contain PHOs 0.47533 WK Kellogg Foundation 0.381192 foods 0.434992 Human Services 0.380851 Prev Chronic Dis 0.402386 trans fat label 0.655216 brand-name products 0.381413 New York City 0.446662 commonly consumed food 0.406689 Packaged Foods 0.405098 baked goods 0.398345 National Salt Reduction 0.472367 product trans 0.445945 Gail P. Goldstein 0.381516 food category 0.435809 cardiovascular disease risk 0.392636 NSRI food categories 0.433605 Stars Licensing Company 0.389441 NSRI Packaged Food 0.527901 potentially leading consumers 0.39231 Packaged Food Database 0.500014 NSRI database 0.41268 food service establishments 0.394447 food categories 0.507119	trans fat consumption 0.678713 trans fat content 0.575353 dietary trans 0.497586 industrial trans 0.70014 trans 0.719178 Initiative food category 0.399805 seasoned processed potatoes 0.470228 United States 0.40579 ingredient information 0.499358 main dietary source 0.394657 products 0.624588 Comparable PHO-free products 0.410819 Salt Reduction Initiative 0.468929 PHOs 0.724807 ingredient data 0.400864 cardiovascular disease 0.400686 FDA research findings 0.389426 consumers preparing foods 0.388002 risk factor 0.400549 York City Department 0.446648 trans fat intake 0.551021 fat label data 0.482948 Public Health Service 0.383421 partially hydrogenated oils 0.90628	CLICK HERE
11562	Centers for Disease Control and Prevention	Html	en	Communication Resources | Ebola Hemorrhagic Fever	null	Ebola Virus Infection 0.614313 Interim U.S. Guidance 0.378747 Ebola Questions 0.576958 Africa Ebola Outbreak 0.717099 Ebola Factsheet 0.532906 Virus Ecology 0.368057 Confirmed Ebola Patients 0.595062 Outbreak Summaries 0.378506 Previous Outbreak Updates 0.403495 Interfacility Transport Guidance 0.37588 Potential Ebola Virus 0.627924 Sierra Leone Vaccine 0.38221 Outbreak Communication Resources 0.497716 Ebola Treatment Centers 0.603453 Outbreak Preparedness 0.382672 Ebola Patients 0.598439 Emergency Department Guidance 0.374136 Disinfecting Hospital Guidance 0.374045 Ebola Epidemic 0.590488 Ebola Assessment Hospitals 0.573659 Virus Exposure Influenza 0.38088 Ebola Diagnosed 0.568519 Ebola Outbreaks 0.535426 Ebola PPE 0.577313	Current Ebola Treatment 0.577738 Sierra Leone 0.400039 Search Form Controls 0.409109 Outbreak Cases 0.385752 Patient Handoff SOP 0.385497 All-Purpose Ebola Materials 0.554416 Confirmed Ebola Virus 0.60384 West Africa Outbreak 0.427537 Ebola Hemorrhagic Fever 0.616304 Ebola Virus Disease 0.765512 Suspected Ebola Patients 0.574013 Personal Protective Equipment 0.386394 Ebola Survivors Questions 0.590193 Communication Resources Guinea 0.371132 Outbreak Distribution Map 0.402247 Healthcare Settings Guidance 0.383873 Handling Untreated Sewage 0.384279 Ebola Transmission 0.54779 West Africa Ebola 0.679539 Ebola Virus Exposure 0.627283 Ebola Response Planning 0.58658 Ebola Virus 0.91375 Ebola Outbreak Communication 0.71655 Congo Outbreak 0.378349	CLICK HERE
11639	Centers for Disease Control and Prevention	Html	en	Men Living with Diagnosed HIV Who Have Sex with Men:Progress Along the Continuum of HIV Care - United States,2010	Sonia Singh, PhD1, Heather Bradley, PhD1, Xiaohong Hu, MS1, Jacek Skarbinski, MD1, H. Irene Hall, PhD1, Amy Lansky, PhD1 (Author affiliations at end of text).	National HIV/AIDS Strategy 0.428978 new HIV infections 0.482691 data 0.406237 United States population 0.369126 black/african american msm 0.955048 Hispanic/Latino MSM 0.489386 health outcomes 0.431572 older MSM 0.521598 HIV-related health disparities 0.424346 viral suppression 0.695973 Health care providers 0.377775 Diagnosed HIV 0.429072 viral suppression §§ 0.387893 H. Irene Hall 0.367958 lowest percentage 0.420578 ART prescription 0.460812 persons 0.386858 lower levels 0.362294 undetectable viral load 0.381014 HIV transmission categories 0.427628 health care settings 0.376754 human immunodeficiency virus 0.365699 white MSM 0.598051 recent viral load 0.366851	care 0.513991 Medical Monitoring Project 0.362633 Puerto Rico 0.438219 United States 0.597808 HIV-negative MSM 0.472225 MSM access 0.474129 National HIV Surveillance 0.432144 HIV Care Continuum 0.471651 MSM account 0.471261 highest percentage 0.365441 Sonia Singh 0.368226 unknown HIV status 0.413515 HIV Behavioral Surveillance 0.463193 HIV prevention efforts 0.41469 consistent viral suppression 0.379446 lowest level 0.390431 HIV incidence 0.390124 younger msm 0.52255 National HIV Behavioral 0.464932 medical care 0.376 routine HIV screening 0.414152 HIV 0.775392 HIV testing 0.409633 young MSM 0.47364	CLICK HERE
12720	Centers for Disease Control and Prevention	Video	null	Influenza	El anuncio de servicio público de 60 segundos presenta a un médico experto explicando la gravedad de la influenza y la importancia de la vacuna anual contra la influenza para todas las personas de 6 meses de edad en adelante. También especifica cuáles son las personas de alto riesgo para quienes la vacunación es especialmente importante y señala que las tasas de vacunación de los hispanos han sido históricamente inferiores. 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/FluEsp60_02/			CLICK HERE
12899	Centers for Disease Control and Prevention	Html	en	Infant and Maternal Characteristics in Neonatal AbstinenceSyndrome - Selected Hospitals in Florida, 2010-2011	Jennifer N. Lind, PharmD1,2,3, Emily E. Petersen, MD1,3,4, Philip A.	NAS 0.935972 Florida hospitals 0.49785 important public health 0.47295 NAS cases 0.619517 death certificate data 0.470353 mean NICU length 0.469846 drug addiction 0.515212 infant death 0.475129 NAS surveillance 0.630089 Defects Surveillance Program 0.491435 NAS treatment 0.609916 Birth Defects Surveillance 0.49488 NAS scoring tools 0.599746 possible NAS 0.652258 infant death certificates 0.475048 intensive care unit 0.513765 Florida Department 0.47137 administrative data 0.568262 maternal medical records 0.473953 NAS mothers 0.606652 public health 0.509085 drug addiction counseling 0.504097 unique infants 0.54397 inpatient discharge data 0.53716	South Florida Birth 0.510465 infants 0.798824 NAS prevention 0.575484 hospital inpatient discharge 0.565971 drug addiction rehabilitation 0.500837 administrative data selection 0.473067 inpatient pharmacy data 0.474125 Florida Birth Defects 0.509432 breast milk 0.48175 2-year period 0.560889 drug treatment programs 0.505413 Jennifer N. Lind 0.508993 drug abuse treatment 0.46933 Chronic Disease Prevention 0.484372 Urine toxicology screens 0.501859 pharmacy data 0.490804 medical record 0.481903 NAS births 0.602939 supervised drug treatment 0.504773 substance abuse treatment 0.499555 NAS score 0.664133 medical records 0.570063 recent maternal drug 0.468015	CLICK HERE
14384	Centers for Disease Control and Prevention	Html	en	Opioid Prescriptions Among Women of Reproductive AgeEnrolled in Medicaid - New York, 2008-2013 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	opioid ingredient 0.438599 York’s Medicaid 0.300494 York State Department 0.310525 opioid component 0.396319 statistics birth records 0.284071 NYS Medicaid formulary 0.315308 primary diagnosis code 0.341646 reproductive-aged women 0.385864 Medicaid 0.43261 opioid pain 0.456122 lower proportion 0.292694 Medicaid program 0.313493 New York results 0.287004 opioid prescription experience 0.4102 York State Medicaid 0.311073 New York State 0.445668 pregnancy 0.288398 opioid drugs 0.416299 prenatal opioid prescriptions 0.467735 female Medicaid recipients 0.310389 opioid pain medication 0.447342 ICD-9 primary diagnosis 0.293337 public health practice 0.283857 prenatal period 0.469411 opioid prescribing 0.384861	indication 0.369525 women 0.767994 proportion 0.362763 United States 0.309733 opioid prescription 0.469725 opioid drug prescriptions 0.48631 live birth 0.805997 average proportion 0.350284 average prenatal period 0.286135 opioid prescriptions 0.974069 medicaid services 0.305169 New York 0.862948 nonprescribed contraceptive methods 0.299571 reproductive age 0.572704 Current Procedural Terminology 0.339932 opioid exposure 0.434812 enrolled women 0.308321 birth defects 0.28961 ICD-9 code 0.304459 opioid medications 0.393904 lowest opioid prescription 0.418296 neonatal abstinence syndrome 0.355463 Medicaid drug claims 0.317246 opioid pain medications 0.447344	CLICK HERE
14632	Centers for Disease Control and Prevention	Html	en	Build Your Own Zika Prevention Kit	Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention.	sunscreen 0.300376 condoms 0.272754 skin 0.238007 Zika virus 0.7535 right way 0.439979 EPA-registered insect repellent 0.920906 standing water 0.448827 pregnant women 0.511395 permethrin 0.331145 mosquitoes 0.457028 package 0.245764 breastfeeding women 0.442598	night 0.247738 insect repellents 0.518525 bites 0.251606 room 0.248038 mosquito 0.238784 sexually transmitted diseases 0.725289 insect repellent 0.949123 bed net 0.477255 water treatment tabs 0.748581 directions 0.387028 Zika Prevention Kit 0.806729 clothing 0.23678	CLICK HERE