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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
5128	Centers for Disease Control and Prevention	Html	en	Science Clips - Monday, February 14, 2011	null	Antimicrob Agents Chemother. 0.767711 6-year lifestyle intervention 0.769847 modeling total survey 0.771206 Extensively drug-resistant TB 0.768793 diabetes-related microvascular complications 0.77522 Regul Toxicol Pharmacol. 0.768695 CDC Science Clips 0.883577 Ko AI 0.767429 Der Walt ML 0.772869 pneumococcal conjugate vaccine 0.772157 Hypochlorite solution expiration 0.770501 Chief Science Officer 0.782721 pandemic influenza vaccine 0.775256 Vaccine Adverse Event 0.770982 low tuberculosis incidence 0.774431 primary care physicians 0.770823 antiepileptic drug effects 0.778027 rapid influenza testing 0.776786 Prevention Outcome Study 0.790625 Environ Health Perspect. 0.783237 Stephen B. Thacker 0.843049 cumulative spinal load 0.817458 Kenyan healthcare workers 0.768677 fatality review data 0.767641 population-based cohort study 0.779083	probable opioid misuse 0.776152 adult influenza vaccination 0.775669 immigration medical screening 0.772593 BMC Infect Dis. 0.769152 Dos Santos MS 0.767226 impaired glucose tolerance 0.769831 drug susceptibility testing 0.77275 second-line drug resistance 0.770572 unintentional injury deaths 0.774348 Dasch GA 0.766697 Acquir Immune Defic 0.825824 Blood lead levels 0.768484 National Immunization Survey 0.771199 Feb 0.943662 Immune Defic Syndr. 0.825816 public health literature 0.775488 van Bemmel DM 0.772305 B. Thacker CDC 0.871807 Inj Prev. 0.88963 chronic opioid therapy 0.7794 Human posture simulation 0.825835 Health Serv Res. 0.782164 Sullivan MD 0.791209 Thacker CDC Library 0.871796	CLICK HERE
6179	Centers for Disease Control and Prevention	Html	en	Use of indoor tanning devices by high school students in the United States, 2009.	null	skin cancer risk 0.347007 computer-scannable questionnaire booklet 0.342831 baseline data 0.354079 white students 0.350283 newly enacted tax 0.342847 98-item self-administered questionnaire 0.34382 weighted data 0.365157 complex survey design 0.350042 student response rate 0.344147 overall response rate 0.342809 Risk Behavior Survey 0.398209 Disease Control 0.363212 Gery P. Guy 0.373194 indoor UV tanning 0.43631 commonly diagnosed cancers 0.344788 skin tanning 0.407221 excise tax 0.397488 survey data commands 0.35542 indoor tanning devices 0.733095 Warshaw E. Indoor 0.361687 response rate 0.357046 Risk Behavior Surveillance 0.38316 Affordable Care Act 0.386498 UV radiation 0.344819 Oak Ridge Institute 0.340597	Thun M. Indoor 0.360567 devices multiple times 0.359279 private high school 0.357293 female students 0.350294 school response rate 0.350299 Barr R. Cancer 0.3423 United States 0.372322 Patient Protection 0.348839 Cancer Epidemiol Biomarkers 0.342211 documented risk factor 0.344453 federal health care 0.350231 federal Patient Protection 0.347585 previous reliability study 0.344729 3-stage cluster sample 0.345015 times 0.36308 national Youth Risk 0.357718 youth risk behavior 0.468838 nationally representative sample 0.343687 nationally representative estimates 0.34393 indoor tanning device 0.942809 newly imposed tax 0.342363 new excise tax 0.34728 high school students 0.582563 risk factor 0.344824	CLICK HERE
7261	Centers for Disease Control and Prevention	Html	en	Analytical Challenges for Emerging Public HealthSurveillance	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.	electronic medical records 0.385021 data 0.628682 data management work 0.404446 specific data source 0.398874 analytic data managers 0.432345 public health departments 0.39586 data visualization applications 0.396018 successful public health 0.41211 public health surveillance 0.830656 new analytic challenges 0.427275 Effective data management 0.40284 population health data 0.41827 surveillance data 0.404289 data base architectures 0.396079 public health jurisdictions 0.407651 new challenges 0.399496 analytic data management 0.561967 data content details 0.398708 traditional public health 0.398101 health analytic data 0.456692 public health practice 0.42372 data analytic foundation 0.429062 analytic data warehouses 0.43027 guides public health 0.412062	syndromic surveillance 0.38558 electronic health record 0.420408 public health information 0.416888 health record data 0.439056 Public health curricula 0.404109 new data management 0.408635 new analytic surveillance 0.426294 unintentional data release 0.384494 public health community 0.43299 data management gap 0.388837 public health analysis 0.41494 new data sources 0.409717 public health professionals 0.401976 public health emergency 0.410628 State Health Information 0.388968 public health 0.975222 novel data sources 0.40161 public health professions 0.405034 medical records data 0.397339 health surveillance mission 0.421455 data collection 0.389102 health data managers 0.428157 health data sources 0.437755 health surveillance purposes 0.411961	CLICK HERE
7673	Centers for Disease Control and Prevention	Html	en	Watching Hands: Artists Respond to Keeping Well	David J. Sencer CDC Museum: Watching Hands: Artists Respond to Keeping Well	CDC Foundation 0.635217 importance 0.347949 NY 0.364234 Joe Peragine 0.627603 Didi Dunphy 0.680837 effective ways 0.577356 act 0.345112 unexpected ways 0.618122 artists 0.379663 installation 0.341276 boundaries 0.360714 GA 0.345123 connection 0.3403 CDC Museum Curator 0.8933 exhibit 0.348082	Georgia Pacific 0.572959 exhibition 0.341885 hand washing 0.997824 Katherine L. Ross 0.800791 work 0.345345 public health campaigns 0.823789 graphic design 0.566166 new media 0.562562 sculpture 0.34134 Athens 0.346276 San Francisco 0.561563 Louise E. Shaw 0.828663 John Bankston 0.610956 H1N1 prevention campaigns 0.852642	CLICK HERE
7856	Centers for Disease Control and Prevention	Html	en	Kidney Disease - Health Communication	Kidney Disease - Gateway to Health Communication - CDC	country 0.309501 Blood pressure control 0.393049 urine 0.310586 health care provider 0.389758 dietary restrictions 0.351745 number 0.319819 African-Americans 0.31046 blood pressure drugs 0.39191 ethnic populations 0.350341 inhibitor class 0.352065 kidney damage 0.48989 injury 0.310659 angiotensin-converting enzyme 0.350636 uncontrolled diabetes 0.360678 blood pressure 0.503003 effective treatments 0.349857 kidney function 0.513419 severe kidney failure 0.576699 greatest risk 0.351206 American Indians 0.350496 daily medication 0.348635 low protein diets 0.389157 kidney failure 0.723344 kidney disease 0.95778 progression 0.321565	kidneys 0.383955 significant portion 0.352601 life 0.316163 result 0.309626 Kidney transplants 0.494874 small fraction receive 0.396564 poisoning 0.310472 dialysis access areas 0.407983 dialysis patients 0.365035 bone disease 0.357323 dietary restriction 0.350941 cost 0.309602 kidney transplant 0.615451 blood test 0.355815 major loss 0.355893 people 0.408598 better quality 0.350383 Pacific Islanders 0.352615 proper treatment 0.351978 high blood pressure 0.488388 common causes 0.36025 family history 0.352289 blood glucose control 0.394891 severe illness 0.359269	CLICK HERE
11996	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Using Simulation to CompareEstablished and Emerging Interventions to Reduce CardiovascularDisease Risk in the United States - CDC	Computer simulation offers the ability to compare diverse interventions for reducing cardiovascular disease risks in a controlled and systematic way that cannot be done in the real world.	public health intervention 0.370849 indirect productivity costs 0.405225 public health interventions 0.466171 intervention levers 0.374367 air interventions 0.521662 cardiovascular risk factors 0.56253 care-based interventions 0.436681 Prevention Impacts Simulation 0.360536 periodontal disease 0.356955 diverse interventions 0.491178 high cholesterol 0.453511 model 0.392438 results 0.356706 cardiovascular events 0.391383 risk factors 0.774591 prevention interventions 0.449324 base case 0.489867 factor management costs 0.392636 Risk management costs 0.390683 PRISM 0.448232 public health officials 0.354772 mm Hg 0.384346 probabilistic sensitivity analysis 0.427933 lifestyle interventions 0.632497 various interventions 0.436875	preventive care interventions 0.494282 care interventions 0.826355 obstructive pulmonary disease 0.360349 care costs 0.437254 potential life 0.374256 death rate 0.613882 uncertainty range 0.71262 risk factor management 0.404674 heart disease 0.367481 annual discount rate 0.573141 preventive care costs 0.388077 costs 0.6722 cardiovascular disease 0.41052 population-level interventions 0.435791 disease 0.429285 Emerging interventions 0.509138 physical activity 0.400475 interventions 0.976008 high blood pressure 0.566006 multiple CVD interventions 0.469444 air pollution 0.397166 coronary heart disease 0.358379 Established interventions 0.495265 risk factor-attributable costs 0.394573	CLICK HERE
12006	Centers for Disease Control and Prevention	Html	en	CDC Increasing Supply of Ebola-specific Personal ProtectiveEquipment for U.S. Hospitals	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	regular patient care 0.267415 hospitals 0.269796 short-term PPE needs 0.399605 event certain products 0.259065 PPE 0.515581 CDC guidance 0.278712 new orders 0.221073 request PPE supplies 0.386083 Strategic National Stockpile 0.953886 SNS facilities 0.255889 hospital-based clinical team 0.282052 U.S. hospitals 0.220359 Ebola cases 0.283673 SNS personnel 0.255937 CDC PPE guidance 0.469315	state health department 0.257092 CDC personnel 0.352569 U.S. hospital 0.205313 personal protective equipment 0.799386 CDC’s guidance 0.271125 N95 respirators 0.202079 PPE kit 0.337476 additional PPE supplies 0.402335 CDC’s Division 0.26971 Ebola patient 0.799511 health care facilities 0.25595 powered-air purifying respirator 0.275729 protective equipment kits 0.305512 state public health 0.258603 Ebola patients 0.374368	CLICK HERE
12138	Centers for Disease Control and Prevention	Html	en	Respiratory Syncytial Virus - United States, July 2012-June2014	Please note: An erratum has been published for this article. To view the erratum, please click here.	shortest season 0.508704 RSV seasons 0.652313 Mila M. Prill 0.499671 RSV activity 0.792204 Marika K. Iwane 0.498975 RSV infection 0.654792 Susan I. Gerber 0.495965 young children 0.495798 regional RSV onsets 0.655193 Florida RSV trends 0.650302 earlier season onset 0.608205 state RSV trends 0.737731 NREVSS surveillance data 0.49815 RSV antigen testing 0.711842 NREVSS 0.576795 5-year median onset 0.558781 regional RSV activity 0.654879 RSV 0.972143 season peak 0.505607 laboratory-based specimen data 0.497551 laboratories 0.522978 regional RSV 0.65958 season duration 0.655099 12-month NREVSS season 0.531123 United States 0.500724	RSV onset 0.757905 positive RSV antigen 0.686841 RSV trends 0.793543 RSV testing 0.632673 NREVSS data 0.514193 RSV seasonality data 0.694084 RSV laboratory detections 0.681917 RSV antigen tests 0.770333 antigen diagnostic tests 0.536513 low RSV activity 0.642427 RSV season onset 0.827261 antigen detection methods 0.770255 Amber K. Haynes 0.576153 local RSV transmission 0.641884 NREVSS onset 0.532101 respiratory infection 0.547646 RSV season analysis 0.68631 national onset 0.614796 longer season duration 0.604824 earlier onset 0.523102 RSV seasonality 0.714463 Respiratory syncytial virus 0.499968 early season onset 0.604985 lower respiratory infection 0.499981	CLICK HERE
12915	Centers for Disease Control and Prevention	Video	en	Concussion Videos - T.J. Lavin's PSA (BMX)	Former BMX Rider T.J. Lavin took a hard hit in competition and sustained a traumatic brain injury. He talks openly about his injury, and his desire to see more awareness for traumatic brain injuries. 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://streaming.cdc.gov/vod.php?id=059c958113724ec89e0e76c7113ee31d20130219153253468	T.J. Lavin Talks 0.948561 Helmet 0.350697	Brain Injury 0.352205	CLICK HERE
16296	Centers for Disease Control and Prevention	Html	en	FastStats - Chronic Liver Disease and Cirrhosis	null	race 0.382956 United States 0.925993 potential life 0.494485 Final Data 0.523405 Hispanic origin Health 0.871984 sex 0.38312 age Health 0.45049 selected cause 0.486537 Source 0.345357	tables 0.344972 PDF 0.541181 MB 0.677875 causes 0.379194 new cases 0.482761 Age-adjusted death rates 0.633168 notifiable disease rates 0.633585 deaths 0.415279	CLICK HERE