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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
683	Centers for Disease Control and Prevention	Html	en	Tobacco Product Use Among Middle and High School Students -United States, 2011 and 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.	electronic cigarettes 0.774648 significant increases 0.420332 Tobacco Control Act 0.444731 Hispanic middle school 0.363661 snus 0.376122 overall response rate 0.439612 Hispanic high school 0.368659 small brown cigarettes 0.385572 tobacco control programs 0.560034 account nonconventional products 0.372162 RenУЉ A. Arrazola 0.392858 tobacco 0.994268 little cigars 0.463037 bidis question 0.407874 dissolvable tobacco 0.737966 current tobacco product 0.484135 hookah tobacco 0.406322 comprehensive tobacco control 0.548393 current electronic cigarettes 0.405694 certain tobacco products 0.427048 commonly used forms 0.400366 traditional premium cigars 0.381653 tobacco products 0.687363 black high school 0.436515 U.S. middle school 0.373516	current tobacco 0.536222 nonconventional tobacco products 0.533978 youths 0.37078 current electronic cigarette 0.367033 middle school 0.509709 tobacco product advertising 0.425234 non-Hispanic whites 0.385323 tobacco use prevention 0.401371 tobacco pipes 0.396921 tobacco product 0.557897 middle school students 0.411026 cigars 0.553766 state tobacco control 0.4183 hookahs 0.404497 high school students 0.950782 key tobacco control 0.445169 white high school 0.369818 tobacco control policies 0.444143 National Youth Tobacco 0.446207 high school females 0.407233 middle school males 0.366763 bidis 0.505901 smokeless tobacco 0.628493 high school males 0.435928	CLICK HERE
1278	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Hospitalizations for RespiratoryDisease Among Unaccompanied Children from Central America -Multiple States, June-July 2014	Edith N. Nyangoma, MD1,2, Carmen Sofia Arriola, PhD1,3, Jose Hagan, MD1,4, Christina Socias, DrPH1,5, Sara Tomczyk, MSc1,6, Louise Francois Watkins, MD1,6, Matthew Westercamp, PhD1,6, Curi Kim, MD7 (Author affiliations at end of text).	CDC 0.594844 U.S. Army Garrison 0.579604 Human Services 0.572197 U.S. Department 0.650398 pneumococcal pneumonia 0.694172 pneumococcal pneumonia cases 0.641256 laboratory-confirmed pneumococcal pneumonia 0.640536 Lackland Air Force 0.73751 standard ORR shelters 0.608619 Naval Base Ventura 0.842148 U.S. Customs 0.583202 City Health Department 0.600841 pneumococcal conjugate vaccine 0.574699 National Center 0.585925 County Public Health 0.681211 influenza activity 0.815446 Refugee Resettlement 0.654615 large temporary shelters 0.572635 Harris County Public 0.564516 Central American countries 0.58072 annual influenza vaccination 0.750285 public health response 0.585767 Base Ventura County 0.841547 California Department 0.57426	influenza 0.918778 unaccompanied children 0.950002 routine influenza vaccinations 0.739995 United States 0.846765 Louise Francois Watkins 0.573137 State Health Services 0.590773 Carmen Sofia Arriola 0.582351 Ventura County Public 0.582975 Nogales processing center 0.576464 Air Force Base 0.720395 influenza B viruses 0.683043 unaccompanied male children 0.683595 seasonal influenza vaccine 0.748147 local health departments 0.570002 public health 0.77423 laboratory-confirmed influenza 0.818518 Edith N. Nyangoma 0.579387 older unaccompanied children 0.645614 Border Protection 0.580047 local public health 0.587429 influenza pneumonia 0.754792 standard ORR shelter 0.606872 influenza viruses 0.754415 influenza B virus 0.702042	CLICK HERE
4953	Centers for Disease Control and Prevention	Html	en	Science Clips - Monday, September 06, 2010	null	new sporadic disease 0.711252 Racial/ethnic differences 0.687008 H1N1 influenza vaccine 0.682003 Preau Jr JL 0.69076 Sick Building Syndrome 0.691256 nursing home residents 0.696499 HIV risk behavior 0.689064 CDC Science Clips 0.841183 Ann Occup Hyg. 0.681759 intensive care unit 0.681769 Nutrition Examination Survey 0.695456 new weekly digest 0.702306 Chief Science Officer 0.706284 hospital episode statistics 0.682865 rural western Kenya 0.694467 Valley fever virus 0.703853 Penn State Cohort 0.674981 Intimate partner aggression 0.674769 severe Rift Valley 0.700478 two-group randomized trial 0.686555 posttraumatic stress disorder 0.680347 Rift Valley fever 0.940682 Infect Dis. 0.74304 population-based morbidity surveillance 0.68524 Nursing Home Survey 0.704861	Stephen B. Thacker 0.785464 U.S. adult population 0.687851 Variably protease-sensitive prionopathy 0.701181 practice management patterns 0.690979 4-year intervention study 0.688924 Feikin DR 0.695397 BMC Infect Dis. 0.698035 fatal adverse events 0.680231 passive surveillance data 0.678214 Francisella tularensis subspecies 0.690767 serum inflammatory markers 0.685319 seasonal influenza transmission 0.677251 U.S. National Health 0.707328 African rotavirus network 0.688972 public health prevention 0.697281 nontypeable rotavirus strains 0.687376 mandatory motorcycle helmet 0.676362 glucose-associated genomic loci 0.685673 public health literature 0.699089 Fungal Biol Rev. 0.688848 B. Thacker CDC 0.829801 Opin Infect Dis. 0.695461 affinity monoclonal antibody 0.676811 Breiman RF 0.74339	CLICK HERE
7345	Centers for Disease Control and Prevention	Html	en	News and Highlights on Influenza A (H3N2) Variant Viruses	News and Highlights on Influenza A (H3N2) Variant Viruses (“H3N2v”) - CDC	H3N2v Virus Infection 0.519796 Novel Influenza Infections 0.482517 Variant Virus Detected 0.537461 H3N2v Infection 0.259713 Interim Precautions 0.212422 email address 0.384077 Reports More Cases 0.232083 Origin H3 Infections 0.409754 Pennsylvania Rises 0.205548 Influenza A H3N2 0.279679 Lessons Learned 0.228236 H3N2v-Associated Death 0.204631 CDC Confirms Detection 0.780516 Pig Exposure 0.200651	Seasonal Flu 0.434639 H3N2v Cases Reported 0.473697 Human Infections 0.235171 Virus Infection Reported 0.542167 CDC Researchers Highlight 0.769525 Influenza A Variant 0.331405 weekly email 0.385695 New Swine-Origin H3N2 0.335997 CDC Reports Cases 0.971882 Urge High Risk 0.406193 Variant Virus 0.683784 H3N2v Outbreak 0.246251 Novel Influenza Viruses 0.443261	CLICK HERE
8425	Centers for Disease Control and Prevention	Html	en	Beatrice's Story - Real Stories - Tips from Former Smokers - Smoking & Tobacco Use	The story of Beatrice, a former smoker who successfully quit smoking and who is featured in CDC's Tips from Former Smokers campaign.	New York 0.714515 cigarette 0.410276 CDC 0.385859 lives 0.389636 addiction 0.381774 boys 0.389733 video 0.373773 smoking—related health problems 0.952267 Beatrice 0.909805 friends 0.388383	mother 0.393391 help 0.378719 times 0.380591 techniques 0.374296 heavy smoker 0.691295 campaign 0.373507 cigarettes 0.391101 family 0.383597 plan 0.377793	CLICK HERE
9042	Centers for Disease Control and Prevention	Html	en	Bed Bugs - Frequently Asked Questions (FAQs)	Frequently asked questions about bed bugs.	South America 0.540594 painful swellings 0.533909 health care provider 0.608265 slim flat bodies 0.559177 best way 0.565636 red area 0.534749 box springs 0.537519 allergic symptoms 0.537634 parasitic insects 0.538896 stow-away bed bugs 0.629706 Cimex lectularius 0.543606 tell-tale bite marks 0.622306 bed bugs 0.972606 blood meal 0.571669 infected area 0.532382 rare occasions 0.532796 dresser tables 0.538142 Bed bug infestations 0.648441 antiseptic creams 0.534076 regular inspection 0.533592 five-star hotels 0.538586 bed bug bites 0.692055 initial bite 0.57705 enlarged bite marks 0.613624 United States 0.539421	bite marks 0.768205 bed bug infestation 0.646767 easiest ways 0.5367 long periods 0.531815 medical attention 0.53411 bed bug 0.815129 bite site 0.575654 allergic reaction 0.566571 dorm rooms 0.538204 cruise ships 0.534367 body parts 0.535335 skin problems 0.53374 overnight bags 0.532409 United Kingdom 0.539394 secondary skin infection 0.56316 small bite mark 0.610428 people 0.58714 physical signs 0.537032 visible signs 0.534139 professional pest control 0.560419 excessive scratching 0.540114 living conditions 0.53916 bed bug bite 0.643244 bed frames 0.556167	CLICK HERE
10292	Centers for Disease Control and Prevention	Html	en	During a Tornado'Tornadoes	Information on preparing for Tornadoes and being safe after a Tornado. Provided by the Centers for Disease Control and Prevention (CDC).	basement 0.435531 Centers 0.430318 CDC 0.518464 objects 0.432882 natural disasters 0.556924 recommendation 0.48002 Prevention 0.430269 tornado safety 0.704301 path 0.429106 extremely high winds 0.743432 head injuries 0.674801 effective ways 0.566047 hazards 0.435528 Disease Control 0.569359 helmet 0.442701 workbench 0.438522 wreckage 0.446093 helmets 0.537598 effectiveness 0.4292 tornado warning 0.781582	tornado 0.941305 tornado-safe room 0.567757 tornadoes 0.530637 protective measures 0.553583 health 0.430879 appropriate shelter 0.542958 poses additional injury 0.72033 people 0.586456 heavy table 0.569561 home 0.457756 delay 0.439519 risks 0.430838 outdoors 0.431978 common causes 0.558097 detailed information 0.55244 risk 0.432956 time 0.428608 safest place 0.581752 family 0.433301 tornado preparedness kit 0.826348	CLICK HERE
10351	Centers for Disease Control and Prevention	Html	en	New CDC Vital Signs: Antibiotic Prescribing Putting Patients at Risk | Digital Press Kit | CDC Online Newsroom	New CDC Vital Signs: Antibiotic Prescribing Putting Patients at Risk	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
10767	Centers for Disease Control and Prevention	Html	en	African American Heart Disease and Stroke Fact Sheet'Data & Statistics'DHDSP	African Americans Heart Disease and Stroke Fact Sheet	African American adults 0.238136 blood pressure 0.804457 heart attack 0.220417	blood pressure readings 0.221394 high blood pressure 0.740321 heart disease 0.278209	CLICK HERE
15919	Centers for Disease Control and Prevention	Html	en	Comparing 2 National Organization-Level Workplace HealthPromotion and Improvement Tools, 2013-2015	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.	North Carolina 0.595473 health care spending 0.575392 ScoreCard strategies 0.568046 healthy workplace practices 0.602953 small employers 0.573716 United States 0.572312 questions 0.565295 health promotion 0.686734 healthy workplace data 0.566699 WorkHealthy America users 0.611577 health promotion offerings 0.580326 employers more time 0.572592 reduced health care 0.574359 percentage points 0.565504 Worksite Health ScoreCard 0.686767 comprehensive approach 0.575261 Prevention Partners 0.667783 smaller employers 0.568678 state health departments 0.602735 health promotion program 0.609167 workplace health improvements 0.57702 health care 0.585557 workplace health literature 0.576355	employers 0.783695 ScoreCard users 0.601444 individual health behaviors 0.574414 comprehensive workplace health 0.591214 WorkHealthy America strategies 0.583493 healthy workplace strategies 0.566464 workplace health promotion 0.678468 ScoreCard data 0.584577 ScoreCard 0.705896 physical activity 0.741302 intervention types 0.583149 environmental supports 0.568565 health promotion practices 0.623456 healthy workplaces 0.700207 socio-ecological model 0.573429 health promotion interventions 0.619045 CDC Worksite Health 0.605683 evidence-based health promotion 0.579749 WorkHealthy America 0.92422 largest employers 0.573551 large employers 0.570198 WorkHealthy America data 0.585229 workplace health tools 0.584823	CLICK HERE