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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
919	Centers for Disease Control and Prevention	Html	en	Influenza-Associated Intensive-Care Unit Admissions andDeaths - California, September 29, 2013-January 18, 2014	Patrick Ayscue, DVM, PhD1,2, Erin Murray, PhD2, Timothy Uyeki, MD3, Jennifer Zipprich, PhD2, Kathleen Harriman, PhD2, Catheryn Salibay, MPH2, Monica Kang2, Annie Luu2, Rose Glenn-Finer2, James Watt, MD2, Carol Glaser, DVM, MD2, Janice Louie, MD2 (Author affiliations at end of text).	fatal cases 0.594895 fatal influenza cases 0.527657 symptom onset 0.497733 severe influenza infections 0.342729 severe influenza 0.757052 previous recent influenza 0.316891 Pediatric influenza deaths 0.305007 positive influenza test 0.353153 local health jurisdictions 0.267401 influenza A virus 0.308581 severe influenza illness 0.40232 influenza activity 0.29404 severe influenza cases 0.376743 patients 0.347476 predominant circulating influenza 0.350269 influenza vaccination status 0.338064 severe cases 0.546232 medical conditions 0.261297 severe influenza complications 0.355234 2009 pandemic 0.325054 fatal illness 0.328384 severe influenza illnesses 0.391622 ICU admission 0.250458 influenza 0.910715	influenza diagnostic test 0.302544 influenza diagnostic tests§ 0.326814 influenza virus infection 0.446389 previous influenza seasons 0.32951 novel influenza strain 0.303446 seasonal influenza vaccine 0.459794 CDPH influenza data 0.349224 pH1N1 virus 0.267117 laboratory-confirmed influenza 0.32099 influenza season 0.575296 cases 0.596826 influenza vaccination 0.404441 influenza complications 0.434563 influenza seasons 0.404621 antiviral treatment 0.356836 influenza infections 0.347755 influenza viruses 0.325036 influenza B virus 0.308486 (http://www.cdc.gov/flu/professionals/antivirals/summary-clinicians.htm). 0.287093 2009 influenza pandemic 0.361172 rapid influenza 0.405921 severe influenza reporting 0.34464 ICU cases 0.593948 influenza diagnostic tests 0.383333	CLICK HERE
1090	Centers for Disease Control and Prevention	Html	en	Key Findings: Use of clomiphene citrate and birth defects, National Birth Defects Prevention Study, 1997-2005	This page has moved. Please update your bookmarks. If you are not redirected, please click here.	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
5063	Centers for Disease Control and Prevention	Html	en	Down Syndrome Cases at Birth Increased | CDC Features	Down Syndrome Cases at Birth Increased. The total number of cases at birth in the US increased by 24.2% from 1979-1983 to 1999-2003 in 10 regions.	Pediatrics 0.426335 younger mothers 0.527813 regions 0.54621 Hispanic individuals 0.509903 United States 0.738436 lowest prevalence 0.64395 age group 0.642483 highest prevalence 0.633857 16-19 year olds 0.537088 percent 0.43068 Arkansas 0.428966 Utah 0.42891 DS 0.790812 prevalence 0.917744 0-3 year olds 0.538221 times 0.427214 children 0.514388 syndrome 0.457531 birth prevalence 0.663634 olds 0.541276	total number 0.535789 race/ethnic groups 0.525216 female children 0.505338 cases 0.429551 disease 0.429527 infants 0.427257 adolescents 0.533122 Non-Hispanic white individuals 0.637702 Non-Hispanic black individuals 0.640235 Ages 0.503689 specific time 0.543129 major congenital heart 0.810195 population 0.427187 older mothers 0.526429 live births 0.54773 Congenital Heart Defects 0.59783 major CHDs 0.533906 Data Source 0.519173 Infant Gender 0.511824	CLICK HERE
6999	Centers for Disease Control and Prevention	Html	en	Announcements: Click It or Ticket Campaign - May 21-June 3, 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.	mmwrq@cdc.gov. 0.566302 Campaign activities 0.54797 endorsement 0.462911 Human Services 0.644445 assistive technology 0.569524 MMWR HTML versions 0.655494 U.S. Department 0.640662 nighttime 0.429376 NHTSA online 0.572656 Law enforcement agencies 0.669157 electronic PDF version 0.644477 e-mail 0.453581 national campaign 0.551047 Ticket campaign 0.545595 passenger vehicle occupants 0.723411 Additional information 0.641046 Contact GPO 0.564761 seat belt laws 0.743674 commercial sources 0.540636 current prices 0.536745 persons 0.451772 original paper copy 0.651006 seat belts 0.895737 United States 0.815722	U.S. Government Printing 0.657336 original MMWR paper 0.650962 young adult men 0.666383 motor vehicle crash 0.945069 MMWR readers 0.546142 character translation 0.534267 file 0.42707 high-visibility enforcement 0.553735 additional lives 0.565176 vehicle crash deaths 0.725109 Traffic Safety Administration 0.671927 format errors 0.534574 subject line 0.565663 Health 0.440374 typeset documents 0.541177 trade names 0.540729 official text 0.532751 emergency departments 0.546785 seat belt 0.899132 non-CDC sites 0.53906 motor vehicle crashes 0.700651 effective means 0.545295 electronic conversions 0.531398 printable versions 0.528045	CLICK HERE
8897	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Community-Generated Recommendations Regarding the Urban Nutrition and Tobacco Environments: A Photo-Elicitation Study in Philadelphia - CDC	Overweight, obesity, and tobacco use are major preventable causes of disability, disease, and death. In 2010, 25% of Philadelphia adults smoked, and 66% were overweight or obese. To address these health threats, the Philadelphia Department of Public Health launched Get Healthy Philly...	different potential interventions 0.340037 potential interventions 0.359028 tobacco use interventions 0.366515 major health concerns 0.326493 Philadelphia Department 0.333827 multilevel interventions 0.336734 tobacco 0.698629 early participants 0.40525 youth participant 0.340343 Healthy Philly 0.406021 individual participants 0.40059 white male youth 0.360333 related health concerns 0.324804 Public health researchers 0.318448 Terry E. Johnson 0.3507 nutrition 0.429311 prevention strategies 0.328283 Lorraine T. Dean 0.347722 Recent tobacco control 0.337886 tobacco sales 0.337461 health threats 0.345847 adults 0.319345 negative health effects 0.397649 illegal tobacco sales 0.334794	African American men 0.338247 public health community 0.329058 lay epidemiologic perspectives 0.335688 tobacco environments 0.515345 Healthy Philly interventions 0.355783 health behavior 0.325008 public health professionals 0.322656 ecological model 0.740754 public health 0.493581 participants 0.99402 Elizabeth A. FitzGerald 0.34725 youth participants 0.475757 public health concerns 0.34378 health concerns 0.416093 health 0.581219 physical activity 0.800237 Carolyn C. Cannuscio 0.353787 tobacco interventions 0.366209 interventions 0.526626 Multiple participants 0.398622 Health Belief Model 0.334398 Public Health Service 0.321066 adult participants 0.534014 healthful foods 0.346177	CLICK HERE
9758	Centers for Disease Control and Prevention	Html	en	CDC Newsroom Image Library Leaders and Scientists | CDC Media Relations	Free public health images, medical images, high-resolution, public domain images.	scientist Scott Smith 0.201633 Centers 0.233275 James Gathany 0.547169 Description 0.206695 Prevention 0.221042 PHIL ID number 0.209681 CDC scientist Thomas 0.233029	Disease Control 0.740275 CDC scientist Zach 0.22919 PHIL ID 0.695039 CDC scientist 0.320894 Photo Credit 0.593835 CDC scientist Scott 0.231836 scientist Thomas Stevens 0.200709	CLICK HERE
11387	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Lessons Learned From a Healthful Vending Pilot Program in Delaware State Agency Buildings, 2011"2012 - CDC	Changes in food availability in worksites can result in changes in eating behavior and weight status. Nemours Health and Prevention Services, in conjunction with partners in Delaware, conducted a 6-month pilot program to assess the feasibility and impact of requiring that 75% of the items in vending machines in 3 state agency buildings have healthful items.	beverage items 0.546993 monthly sales reports 0.488417 data 0.47066 pilot sites 0.579493 healthful product taste 0.484393 total calories 0.536001 food machines 0.472864 Slow food items 0.500012 potential new items 0.479675 healthful options 0.470812 healthful items 0.698713 Delaware state agency 0.479046 new items 0.489201 state agency buildings 0.525025 beverages 0.492735 healthful beverages 0.479957 pilot program 0.903081 healthful eating 0.475344 Prevention Services 0.52718 healthful product offerings 0.483395 healthful vending specifications 0.507127 healthful alternatives 0.473223 healthful food purchases 0.495041 conventional vending machines 0.495974 pilot program site 0.515474	Slow beverages 0.490543 items 0.717845 Business Enterprise Program 0.689515 northern pilot program 0.49133 6-month healthful food 0.51109 beverage vending program 0.510026 6-month pilot program 0.50501 monthly profits 0.471061 vending machine operators 0.473256 Slow foods 0.515592 healthful vended items 0.530388 Canteen Vending Services 0.478326 daily total calories 0.47502 public health 0.629226 food machine 0.473433 northern site 0.481576 Nemours Healthy Vending 0.469136 food 0.526871 Slow items 0.506533 beverage machines 0.55759 southern site 0.512002 southern pilot program 0.492845 machines 0.594714 Nemours Health 0.532116	CLICK HERE
12282	Centers for Disease Control and Prevention	Html	en	How to Reduce Indoor Tanning Among Minors	Efforts to prevent the harms caused by indoor tanning are underway at the federal, state, and local levels.	policy enforcement 0.553582 skin cancer 0.557109 effective prevention strategies 0.592944 local levels 0.608395 feedback loop 0.546536 broad contextual factors 0.593829 comprehensive approach 0.588068 harms 0.526133 Product marketing 0.552942 specific audiences 0.550526 indoor tanning.46 0.564419 Evaluation results 0.549666 determinants 0.524789 long-term effects 0.549766 minors 0.57593 legislative approaches 0.548558 indoor tanning.41 0.565973 powerful effect 0.549631 intervention planning 0.549639 individual-level influences 0.554872 mass media campaigns.51 0.594595 parental accompaniment laws 0.606238 unsupervised indoor tanning 0.748348 apartment complexes 0.554227 state-level indoor tanning 0.681123	federal level— 0.565586 Overarching Goals49 0.552287 future prevention efforts 0.593143 Action Model 0.58525 indoor tanning laws.35–40 0.663829 comprehensive way.22 0.549984 policies 0.528522 MPOWER model 0.553835 age restrictions 0.60815 potential model 0.550954 Healthy People 0.620178 long-term health risks 0.594483 environmental conditions 0.550238 health-related behaviors 0.55295 marketing strategies 0.553822 Emerging evidence 0.555384 parental consent laws 0.606203 indoor tanning 0.945954 multiple levels 0.599091 best practices 0.588556 individual-focused interventions 0.561752 social norms 0.554478 young people.18 0.557022 tobacco control 0.548413	CLICK HERE
12609	Centers for Disease Control and Prevention	Video	en	Video: CDC Responds to Nodding Disease in Uganda	A team of CDC experts joined the Ministry of Health and of government, nonprofit, and health officials in Uganda to conduct a multifaceted investigation in Kitgum District, northern Uganda. Listen as Epidemic Intelligence Service Officer, Dr. Jennifer Foltz, tells the story about Nodding Disease, a neurologic syndrome which is devastating to afflicted children. 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/globalhealth/video/nodding/nodding.htm	Nodding Disease 0.833329 CDC Responds 0.971575	Uganda 0.589437	CLICK HERE
16188	Centers for Disease Control and Prevention	Html	en	Vital Signs: Disparities in Tobacco-Related Cancer Incidenceand Mortality - United States, 2004-2013 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	tobacco-related cancers 0.841514 tobacco-related health care 0.534832 Human Services 0.495294 invasive cancer sites 0.507909 lung cancer 0.5748 U.S. population.* Cancer 0.497858 National Comprehensive Cancer 0.493473 tobacco-related cancer incidence 0.75582 States Cancer Statistics 0.531734 National Vital Statistics 0.509524 evidence-based tobacco control 0.498789 cancer incidence data 0.530234 tobacco-related cancer cases 0.616127 United States Cancer 0.534559 incidence rates 0.492317 tobacco-related disparities 0.511788 Cancer Health Disparities 0.500726 death rates 0.785303 U.S. standard population 0.561943 preventable tobacco-related cancer 0.574448 cancer mortality data 0.508077 cancer prevention 0.5315 United States 0.714269 Cancer Statistics dataset 0.501621 cancer incidence rate 0.51162	tobacco-related cancer death 0.703459 cancer registries 0.53629 federal cancer statistics 0.500713 comprehensive cancer control 0.562516 cigarette smoking 0.631747 acute myeloid leukemia 0.579078 Tobacco-related cancer mortality 0.583371 tobacco-related cancer deaths 0.712736 National Cancer Institute 0.59945 tobacco-related disease 0.5178 age-adjusted tobacco-related cancer 0.583799 cancer control efforts 0.526818 urinary bladder 0.526773 tobacco-related cancer 0.960813 Tobacco-related invasive cancer 0.578563 cancer site 0.52191 lung cancer deaths 0.51937 smokeless tobacco 0.494057 annual percentage change 0.507748 tobacco-related cancer disparities 0.576812 oral cavity 0.534678 renal pelvis 0.501512 cancer death rates 0.69637 tobacco control 0.517261	CLICK HERE