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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
956	Centers for Disease Control and Prevention	Html	en	Impact of Requiring Influenza Vaccination for Children inLicensed Child Care or Preschool Programs - Connecticut, 2012-13Influenza Season	Please note: An erratum has been published for this article. To view the erratum, please click here.	child care centers 0.403125 influenza vaccination coverage 0.550704 different influenza strains 0.458398 influenza-associated hospitalization 0.442719 influenza circulation 0.426224 national vaccination level 0.409377 seasonal influenza vaccination 0.546116 New York City 0.386049 children 0.554321 Connecticut influenza vaccination 0.535095 FluView catchment area 0.37887 New Haven County 0.436689 influenza vaccine 0.561122 influenza-associated hospitalization rate 0.395362 Congregate child care 0.380211 EIP sites 0.375968 influenza hospitalizations 0.433623 annual influenza vaccination 0.525735 vaccination data 0.394238 influenza-associated hospitalization rates 0.402428 Connecticut child care 0.384908 child care attendance 0.392968 licensed child care 0.984705 influenza subtype 0.437835	age group 0.374267 Emerging Infections Program 0.38617 influenza transmission 0.48178 influenza vaccination rate 0.519895 recent influenza seasons 0.456195 influenza hospitalization rate 0.466805 influenza vaccination requirement 0.559414 vaccination levels 0.414285 influenza exposure 0.430997 2012-13 influenza seasons 0.438214 child care programs 0.417951 child care program 0.403846 influenza season 0.687072 child care survey 0.398876 severe influenza-related illness 0.385327 child care settings 0.407026 influenza vaccination rates 0.525779 influenza vaccination 0.90235 preschool-aged children 0.387268 influenza complications 0.425142 EIP site 0.385528 influenza seasons 0.481828 influenza-associated hospitalizations 0.381451 high vaccination rates 0.406244	CLICK HERE
1237	Centers for Disease Control and Prevention	Html	en	Skin Cancer Awareness	Skin cancer is the most common cancer in the United States. To lower your skin cancer risk, protect your skin from the sun and avoid indoor tanning.	skin cancer risk 0.658146 skin cancer 0.942786 UV rays 0.773893 Unprotected skin 0.541821 skin cancer prevention 0.616362 Indoor tanning exposes 0.5834 SPF 0.424691 Sun Proof 0.503608 fun outdoors 0.502988 Wear sunglasses 0.507633 common sign 0.494785 damage skin 0.530851 fact sheets list 0.579839 recreation staff 0.494891 midday 0.427368 Kidtastics talk 0.495032 shade 0.424071 mole 0.41791 different types 0.519842 sore 0.421473 clothing 0.419464 UVB rays 0.695711 broad spectrum 0.504726 UVA 0.482252 sunscreen 0.436985	United States 0.519977 wide brim 0.517388 anybody 0.419241 indicates damage 0.507285 head 0.418708 common cancer 0.529092 sun protection factor 0.603548 podcast 0.433969 higher risk 0.497316 cases 0.420256 harmful effects 0.49822 change 0.449256 hard way 0.499247 Plan 0.417831 easy ways 0.495713 McKenna 0.419412 ears 0.42083 Cover 0.419478 layered approach 0.500233 new growth 0.498664 sun exposure 0.513641 time 0.434559 sweating 0.425548 melanoma survivor Sharon 0.597035	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
7931	Centers for Disease Control and Prevention	Html	en	Thrombotic Thrombocytopenic Purpura TTP-Like IllnessAssociated with Intravenous Opana ER Abuse - Tennessee,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.	medical charts 0.457177 injection-drug abuse 0.460683 microangiopathic hemolytic anemia 0.572843 odds ratio 0.485784 TDH interview 0.458751 drug abuse 0.520711 regional poison center 0.457512 case-control study 0.519003 platelet aggregation inhibitors 0.463496 recent injection 0.491689 median admission platelet 0.470384 patients 0.577631 urine drug test 0.459784 Opana ER abuse 0.577633 patient Opana ER 0.5252 northeast tennessee 0.495177 public health officials 0.463878 methadone clinic 0.457246 hospital admission platelet 0.460018 certain previous cases 0.461154 new formulation 0.510313 positive test results 0.457437 Public Health Response 0.461032 hospital admission 0.489644	infection 0.491798 health-care providers 0.506041 Opana ER 0.93349 clinical characteristics 0.464262 median activity level 0.467223 Tennessee Regional Health 0.46529 TDH 0.498242 extended-release form 0.459003 public health 0.464055 cases 0.501186 TDH interviews 0.46039 blood disorder 0.460337 unknown etiology 0.484464 intravenous drug users 0.460213 thrombotic thrombocytopenic purpura 0.576428 drug monitoring programs 0.460374 extended-release opioid analgesic 0.460304 opioid pain reliever 0.555114 abuse treatment programs 0.45918 TTP-like illness 0.769447 rural county 0.463713 injection 0.501037 anti-HCV antibody 0.461262 drug users 0.465316	CLICK HERE
7960	Centers for Disease Control and Prevention	Html	en	Health Care Needs of Children with Tourette Syndrome - NCBDDD	Key Findings: Health Care Needs of Children with Tourette Syndrome	neurobehavioral condition 0.37155 educational programs 0.361303 Emory University 0.372107 obsessive-compulsive disorder.1,2,5,6 0.364227 Child Neurology. 0.40074 R. Health care 0.443089 health risk behaviors 0.437547 general health 0.390266 health outcomes 0.384366 face challenges 0.362882 Disease Control 0.431093 following text 0.365844 conduct problem 0.36573 children 0.514956 future research 0.361232 behavioral condition 0.371057 tourette syndrome 0.775749 Mortality Weekly Report. 0.405616 autism spectrum disorder 0.415428 chronic condition 0.374647 Tourette Health 0.418067 education programs 0.361802 social relationships 0.363039 Tourette Syndrome Association 0.454516	TS increases 0.573983 CDC works 0.369297 von Knorring A-L 0.410162 Child Neurology 0.375429 TS experience 0.576447 developmental delay 0.36217 health care needs 0.999646 co-occurring condition 0.45551 Swedish school population 0.406341 Early identification 0.362578 Children’s Health 0.426117 developmental condition 0.36744 NSCH data 0.362863 specific health conditions 0.446953 co-occurring conditions 0.499001 health services 0.383454 tic disorders 0.406173 National Survey 0.372578 attention-deficit/hyperactivity disorder 0.366609 vocal tics 0.364615 attention-deficit/ hyperactivity disorder 0.422436 Public health significance 0.425091 public health efforts 0.433858 greater health care 0.554905	CLICK HERE
10119	Centers for Disease Control and Prevention	Html	en	CDC Global Health - Immunization - Vaccine Research Will Accelerate Eradication of Polio	null	high-risk areas 0.368178 vaccine-derived poliovirus type 0.429188 short interval vaccination 0.528651 Monovalent OPV types 0.453714 vaccination coverage 0.381481 early 1960s 0.380476 polio circulation 0.559516 national immunization programs 0.44927 Global Polio Eradication 0.629977 weak immunization systems 0.457967 Dr. Estivariz 0.365357 trivalent opv 0.513302 mutated strain 0.382211 successful vaccination programs 0.448139 paralysis 0.343772 countries 0.376844 WPV worldwide 0.37017 unnecessary cases 0.368596 Diarrheal Disease Research 0.433365 interval vaccination approach 0.452467 Endgame Strategic Plan 0.548892 immunization campaigns 0.378646 debilitating disease 0.368289 endemic countries 0.373481 polio faster. 0.536456	scientific community 0.365279 wild poliovirus 0.379089 Interval Additional Dose 0.446007 new research 0.369005 21st century 0.373068 deadly infectious disease 0.432597 bivalent opv 0.523639 Polio Eradication 0.699466 public health victories 0.438996 long-standing demographic surveillance 0.425242 quality scientific evidence 0.426712 important accomplishment 0.375439 effective policies 0.366901 different oral polio 0.619197 Wild type 0.382955 International Centre 0.370074 respective strain 0.378313 routine immunization programs 0.435299 oral polio vaccine 0.607358 Dr. Conchi Estivariz 0.426636 population immunity levels 0.422317 vaccine-derived poliovirus 0.484707 wild polio virus 0.625542 oral polio vaccines 0.904885	CLICK HERE
10571	Centers for Disease Control and Prevention	Html	en	Respirator Use Policy for Protection Against Carcinogens	null	protective respirators 0.58116 respirator program administrator 0.573617 no-effect exposure 0.487061 appropriate exposure limit 0.558355 exposure limit 0.640083 respirator types 0.475197 NIOSH Respirator Decision 0.834639 carcinogen policy 0.388731 available scientific information 0.420138 NIOSH-developed RELs 0.513307 worker exposure 0.461367 lowest feasible level 0.438647 respirator selection 0.48822 NIOSH 0.924039 old policy 0.53533 ambient workplace exposures 0.458219 proven carcinogenic substances 0.494678 lowest feasible concentration 0.460256 inclusive policy 0.356562 animal health effects 0.443942 exposure 0.834669 applicable exposure 0.457114 protective respirator 0.491853 respirator recommendations 0.480469 Edward J. Fairchild 0.465878	quantitative REL 0.526172 quantitative RELs 0.930863 higher APFs 0.403177 permissible exposure limit 0.596721 NIOSH Recommended Exposure 0.792166 selection criterion 0.439241 Assigned Protection Factor 0.41164 current NIOSH Pocket 0.653532 engineering controls 0.448879 proper respirator program 0.573215 LFC RELs 0.599858 technologic feasibility 0.47271 carcinogens 0.999755 new policy 0.587622 policy states 0.377851 workplace exposures 0.557508 NIOSH REL 0.70506 detectable exposure levels 0.618306 generic OSHA rulemaking 0.454581 respirator options 0.493749 Workplace Airborne Concentration 0.432991 highest APF 0.357223 respirator type 0.488195 NIOSH-recommended exposure 0.489718	CLICK HERE
11300	Centers for Disease Control and Prevention	Html	en	Disease Detective: David Kuhar - CDC Responds to the 2014 Ebola Outbreak	Kuhar, an infectious disease specialist, leads the CDC team responsible for healthcare worker safety during the current Ebola outbreak in West Africa.	moon suits 0.467046 staff practice 0.461165 hospital settings 0.46853 Dr. David Kuhar 0.675678 healthcare worker safety 0.659909 hospital staff 0.474137 eye protection 0.469848 infectious diseases 0.629286 Additional equipment 0.479799 infection prevention procedures 0.63664 CDC’s FAQ 0.473632 Ebola outbreak 0.849878 single-person room 0.472777 important message 0.475944 unfamiliar equipment 0.489579 certain situations 0.463075 U.S. healthcare personnel 0.645427 Safe Management 0.45757 face mask 0.462748 personal protective equipment 0.632628 MERS-Coronavirus outbreak 0.526188 body fluids 0.615195 additional precautions 0.501263 face shield 0.463133 patient care procedures 0.591045	young boys 0.493527 PPE 0.39247 affected area 0.454009 infection control 0.491233 eyes 0.353753 leg protection 0.46764 mucous membranes 0.470045 double gloves 0.468913 unfamiliar gear 0.483751 CDC team 0.51085 disposable shoe coverings 0.606524 great deal 0.454771 post-exposure services 0.47096 infectious disease specialist 0.66287 healthcare teams 0.480022 current Ebola outbreak 0.841535 blood 0.356204 infected person 0.452406 spread 0.358894 Ebola patient 0.624175 mouth 0.360982 controlled environments 0.460824 West Africa 0.824392 healthcare workers 0.470237	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
12546	Centers for Disease Control and Prevention	Video	en	Climate Change and Health - From Science to Practice | Video	Changes occurring in the world’s climate pose significant threats to human health and wellbeing and will have even greater impacts in the future. These threats are wide-ranging, including decreased air quality and increases in extreme weather events, wildfire, and illnesses transmitted by water, and disease-carriers, such as mosquitoes and ticks. 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/cdcgrandrounds/video/2014/GR_12-16-2014.wmv	CDC Grand Rounds 0.969405 Climate Change 0.732835 Health 0.417819	Science 0.417384 Practice 0.417095	CLICK HERE