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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
660	Centers for Disease Control and Prevention	Html	en	Youth and Tobacco Use - Smoking & Tobacco Use	Smoking and smokeless tobacco use are almost always initiated and established during adolescence. Adolescent smokeless tobacco users are more likely than nonusers to become adult cigarette smokers.	High School Athletes—United 0.291486 high school 0.88338 Mortality Weekly Report 0.533896 days—an increase 0.359831 electronic cigarettes 0.33715 Human Services 0.550463 youth tobacco use11 0.355262 youth tobacco 0.409781 youth 0.423794 U.S. Department 0.546046 Health Promotion 0.357665 Disease Control 0.623037 tobacco 0.970097 dissolvable tobacco 0.320613 National Center 0.373743 smoking levels 0.259158 High School Students—United 0.449525 tobacco products 0.526776 Lower socioeconomic status 0.279922 young adults 0.288075 High school athletes 0.295638 Centers 0.312341 Mental health 0.253064 smoking-related illness 0.253355 young people 0.380792	Tobacco Among U.S. 0.309893 Comprehensive Tobacco Control 0.348003 smoking 0.431722 †Any tobacco product 0.358117 School Students—United States 0.457417 school students 0.827302 multiple tobacco products 0.358895 tobacco pipes 0.318462 tobacco product 0.587303 Jun 0.327413 days—a decrease 0.295289 middle school students 0.750596 health 0.396392 high school students 0.798727 cigarette smokers 0.292445 minimum age 0.28557 flavored tobacco product 0.434716 Chronic Disease Prevention 0.477965 youth smoking 0.264258 Surgeon General 0.377639 smokeless tobacco 0.562755 tobacco epidemic 0.33462 Parental smoking 0.260491 daily cigarette smokers 0.292185	CLICK HERE
818	Centers for Disease Control and Prevention	Html	en	Notifiable Diseases and Mortality Tables	Table I   Summary of provisional cases of selected notifiable diseases, United States, cumulative, week ending January 18, 2014 (3rd Week).	different event codes 0.546801 H. influenzae 0.452363 CDC 0.414052 California serogroup 0.55608 age group 0.387684 novel influenza 0.703217 invasive pneumococcal disease 0.892885 eastern equine 0.380257 measles cases 0.488963 ** Data 0.425291 western equine diseases 0.534069 case notifications 0.390439 susceptible cases 0.444658 probable cases 0.461634 Rocky Mountain 0.373758 rickettsia infections 0.425981 ArboNET Surveillance 0.380001 Zoonotic 0.241021 rubella cases 0.457909 Spotted fever rickettsioses 0.610947 St. Louis 0.383265 E. coli 0.385299 influenza A virus 0.548185 virus infections 0.44249	National Center 0.576427 Immunization 0.238697 cases 0.716494 pneumoniae invasive disease 0.605104 Table 0.294832 Total case counts 0.562767 Spotted fever group 0.60869 serogroup non-O157 0.555819 serotypes 0.23788 Shiga 0.291467 similar clinical presentation 0.533031 Vector-Borne Infectious Diseases 0.573027 meningococcal disease 0.401093 Cumulative total E. 0.561785 condition 0.258155 Influenza Division 0.512298 Streptococcus 0.243131 unknown serogroup 0.556482 Respiratory Diseases 0.40228 Powassan 0.245724 ages 0.237911 Enteric Diseases 0.39817 Includes drug resistant 0.552698	CLICK HERE
1098	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Factors Associated With Exposure to Antismoking Information Among Adults in Vietnam, Global Adult Tobacco Survey, 2010 - CDC	The media play a critical role in tobacco control. Knowledge about the exposure of a population to antismoking information can provide information for planning communication activities in tobacco control.	tobacco control measures 0.265229 antismoking information sources 0.58306 antismoking information 0.631905 antismoking communication programs 0.482799 tobacco control issues 0.270694 smoking status 0.283663 higher knowledge levels 0.255825 logistic regression 0.388079 rural areas 0.335712 lower social class 0.300576 communication channels 0.570641 modern media sources 0.319078 significantly higher rate 0.344245 World Health Organization 0.38954 high smoking prevalence 0.274936 tobacco control strategy 0.273599 mean number 0.333051 respondents 0.449869 main health consequences 0.295361 exposure 0.76671 smoking cessation 0.259698 higher social class 0.320099 tobacco control activities 0.341264 General Statistics Office 0.269802 tobacco control strategies 0.269723	smoking prevalence 0.27913 Linear regression model 0.279939 linear regression 0.488412 low smoking prevalence 0.273485 health consequences 0.505465 local radio 0.400308 passive smoking 0.315117 higher education levels 0.39207 high level exposure 0.292131 antitobacco media campaigns 0.291405 Vietnam 0.47709 tobacco smoking 0.294361 multiple communication channels 0.35468 Adult Tobacco Survey 0.355943 smoking cessation methods 0.256892 adult population 0.286718 Global Adult Tobacco 0.358827 national tobacco control 0.269186 antismoking information channels 0.566589 Hanoi Medical University 0.345359 different groups 0.310217 information 0.904597 logistic regression models 0.306184 lower smoking prevalence 0.270853	CLICK HERE
7545	Centers for Disease Control and Prevention	Html	en	ADHD - Research	ADHD is one of the most common neurobehavioral disorders of childhood. It is usually first diagnosed in childhood and often lasts into adulthood. Children with ADHD have trouble paying attention, controlling impulsive behaviors (may act without thinking about what the result will be), and in some cases, are overly active.	CDC’s research 0.582572 CDC 0.583577 large number 0.564878 state Medicaid programs 0.614551 health plans 0.603836 Medicaid drug 0.560496 Mental Health 0.563271 ADHD medications 0.875742 state program 0.562733 unanswered questions 0.558898 school-age children 0.570137 children 0.70379 study team 0.598671 Current medical research 0.598609 medication treatment 0.566419 treatment patterns 0.560058 national surveys 0.629005 diverse population groups 0.588081 overview page 0.563273 Prescription prior-authorization policy 0.605665 special health care 0.607015 ADHD symptoms 0.806985 population-based research project 0.604483 specific medications 0.55986 risks children 0.566768	ADHD 0.998718 United States 0.610093 Oklahoma Health Sciences 0.605596 Attention-deficit/hyperactivity disorder 0.566746 national study 0.561 cross-sectional mapping study 0.609105 substantial financial savings 0.600561 best treatments 0.565097 comprehensive information 0.560294 state programs 0.562318 ADHD medication 0.840254 ADHD treatment policy 0.832187 public health prevention 0.606398 public health 0.648776 prior-authorization policies 0.683709 children’s health 0.581048 Learn About Youth 0.561104 Public health issues 0.604055 state policies 0.567839 healthcare claims datasets 0.597385 Medicaid prior-authorization policies 0.618015 treatment costs 0.563578 public health problem 0.631719 information 0.573058	CLICK HERE
9689	Centers for Disease Control and Prevention	Html	es	La biografía de Roosevelt - La historia de Roosevelt - Historias de la vida real - Consejos de exfumadores	Roosevelt tuvo que dejar su trabajo porque su corazón ya no es lo suficientemente fuerte como para soportar la actividad extenuante que esa labor requiere. Su historia completa es parte de la campaña de los CDC Consejos de exfumadores.	Archivo Apple Quicktime 0.719242 Archivo RealPlayer 0.608852 Archivo Microsoft PowerPoint 0.749775 Archivo Adobe PDF 0.718466 Archivo Microsoft 0.959784 tribu sioux oglala 0.796592	Archivo Microsoft Word 0.745825 Archivo Texto 0.59663 constante acoso 0.596932 tus nietos 0.588938 Archivo Zip Comprimido 0.715556 Archivo Microsoft Excel 0.72006	CLICK HERE
10773	Centers for Disease Control and Prevention	Html	en	Methodology - Pregnancy Risk Assessment Monitoring System - Reproductive Health	PRAMS Methodology	early postpartum period 0.636172 questionnaire booklet 0.645512 birth certificate data 0.672245 latest PRAMS questionnaires 0.752995 Data collection procedures 0.701516 PRAMS range 0.691396 CDC Model Surveillance 0.65391 data collection methodology 0.802743 PRAMS Model Protocol 0.799529 state 0.661999 higher risk populations 0.640407 additional information 0.642117 stratified systematic sample 0.648058 frame noncoverage weights 0.643187 multipurpose cover letter 0.764994 Nonresponse adjustment factors 0.653193 multiple follow-up attempts 0.638277 characteristic distinguishes respondents 0.665448 birth weight strata 0.666159 higher nonresponse weights 0.64265 record survey responses 0.640521 risk factor proportions 0.63949 recent live birth 0.671779 low weight births 0.647987 original PRAMS questionnaire 0.78184	women 0.653374 web-based customized tracking 0.635919 initial sampling weight 0.642783 consent information sheet 0.638531 Annual sample sizes 0.63468 PRAMS data set 0.780868 PRAMS model surveillance 0.746998 PRAMS sample 0.747379 mail/telephone survey methodology 0.642559 certified birth certificates 0.64455 eligible birth certificates 0.638185 nonresponse weights 0.68813 standardized data collection 0.813634 complex sampling designs 0.631856 PRAMS surveillance 0.788841 PRAMS 0.906682 PRAMS Integrated Data 0.806846 adjustment factor 0.76573 data collection 0.95015 telephone follow-up lasts 0.655288 birth certificate file 0.786103 data collection activities 0.682526 current birth certificate 0.65346 normal birth weight 0.650589	CLICK HERE
12442	Centers for Disease Control and Prevention	Video	en	Way to Go: Passport To Health	Health experts suggest that you take several key steps to be protected against injury or illness when travelling to developing nations. This includes packing a health kit, bringing medications, and getting immunizations for safe and healthy travel. 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/PassportToHealth	Passport 0.989449 Health 0.667064	YouTube 0.952578	CLICK HERE
12836	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Fatal Gastrointestinal Mucormycosis ina Premature Infant Associated with a Contaminated DietarySupplement - Connecticut, 2014	Snigdha Vallabhaneni, MD1, Tiffany A. Walker, MD1, Shawn R. Lockhart, PhD1, Dianna Ng, MD2, Infectious Diseases Pathology Branch2, Tom Chiller, MD1, Richard Melchreit, MD3, Mary E.	CDC 0.521508 gastrointestinal mucormycosis 0.701177 preterm infant 0.522177 Rachel M. Smith 0.669629 infant 0.542151 unopened dietary supplement 0.581761 public health warnings 0.495863 Zoonotic Infectious Diseases 0.598199 Tiffany A. Walker 0.50119 public health networks 0.497469 intensive care unit 0.474267 health care providers 0.496066 Tom Chiller 0.415186 Solgar ABC Dophilus 0.513216 hospital microbiology laboratory 0.484809 National Center 0.459901 Unopened bottles 0.418039 Dianna Ng 0.416539 health care consumers 0.487053 preterm infants 0.519981 angioinvasive fungal infection 0.497903 rare fungal infection 0.496913 birth weight infants 0.516364 Investigational New Drug 0.475191 Connecticut Department 0.416819	Rhizopus oryzae 0.548736 medical conditions 0.483449 manufacturing practice requirements 0.466195 gastrointestinal tract 0.438315 dietary supplement 0.727721 Infectious Diseases Pathology 0.516774 Shawn R. Lockhart 0.505857 intensive case-finding efforts 0.465014 Richard Melchreit 0.413746 large clot 0.410074 cecum tissue block 0.477678 dietary supplements 0.693957 Snigdha Vallabhaneni 0.422685 unexplained infant deaths 0.538328 necrotic cecum 0.414281 public health 0.665997 ABC Dophilus Powder 0.992153 Author affiliations 0.410324 live bacterial species 0.480102 hospital staff members 0.474984 probiotic effects 0.500828 Rhizopus species 0.438814 Local investigation 0.408685 fatal case 0.41052	CLICK HERE
13573	Centers for Disease Control and Prevention	Video	en	Are You Listening? PSA (:30)	This public service announcement encourages women to learn the symptoms of gynecologic cancer and pay attention to what their bodies are telling them. 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/wcms/videos/low-res/NCCDPHP/2015/ayl_video_english_30_925657.mp4	YouTube 0.824963		CLICK HERE
13936	Centers for Disease Control and Prevention	Html	en	Why We Do Research on Hemophilia | Hemophilia | NCBDDD | CDC	Hemophilia is an inherited bleeding disorder in which the blood does not clot properly. The mission of CDC’s Division of Blood Disorders is to reduce the morbidity and mortality from blood disorders through comprehensive public health practice.	hemophilia 0.99368 inhibitors 0.513423 blood products 0.460816 CDC 0.528373 joint mobility 0.462526 key prevention activities 0.573263 care patterns 0.463171 Hemophilia Care 0.647441 joint disease 0.617 health issues 0.463185 future research 0.464259 public health surveillance 0.517056 health care providers 0.506718 prevention campaign messages 0.501624 joint disease results 0.508525 factor VIII gene 0.462549 hemophilia patients 0.682064 overall health 0.465169 rare disorders 0.469087 disease complications 0.466784 prevention programs 0.471105 normal blood clotting 0.615444 joint bleeding 0.490825 hemophilia lack 0.674076	blood-borne infections 0.461032 Platelet function testing 0.494486 health-monitoring data 0.467604 excessive bleeding 0.480304 hemophilia worldwide 0.667993 Bleeding Disorders Surveillance 0.543692 treatment product 0.496311 advance health research 0.524864 Community Counts- Registry 0.508704 national network 0.465779 Inhibitor Study 0.519536 National Prevention Program 0.568002 health data 0.47604 Span Reveals Progress 0.492063 hemophilia population 0.674586 hemophilia carriers 0.640842 healthy weight 0.49522 hemophilia treatment centers 0.830349 overweight people 0.472975 people 0.631299 Ongoing Health Challenges 0.494136 private organizations 0.465727 chronic joint disease 0.507515 target audience members 0.492541	CLICK HERE