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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
5088	Centers for Disease Control and Prevention	Html	en	Science Clips - Monday, April 12, 2010	null	Apr 0.712236 total blood volume 0.67991 Intermittent preventive treatment 0.676296 PLoS ONE. 0.745366 serum cotinine levels 0.678989 CDC Knowledge 0.73233 passive immune therapy 0.6746 Hunter New England 0.683143 Action Science Clips 0.971953 Community Dent Oral 0.678945 fulminant bacterial infections 0.674061 new weekly digest 0.695343 social marketing intervention 0.679115 State cigarette minimum 0.674041 Northern New South 0.687862 body mass index 0.683795 Chief Science Officer 0.696806 high body mass 0.697647 State cigarette excise 0.676539 VZV Nomenclature Meeting 0.68083 HIV type 0.676484 cancer news coverage 0.760944 Defects Prevention Study 0.69289 news coverage trends 0.749588 Clin Chim Acta. 0.694785	type 1-infected patients 0.686327 planned behavior perspective 0.670303 Stephen B. Thacker 0.76838 Plasmodium falciparum multidrug 0.684739 Yanovski JA 0.673337 Proc Natl Acad 0.67902 ter Kuile FO 0.682318 Lyme disease agent 0.677967 comprehensive content analyses 0.751425 Serotype specific antisera 0.680224 HIV Outpatient Study 0.689503 rural Western Kenya 0.674489 Patient Educ Couns. 0.675236 newly diagnosed HIV 0.679352 Multiple genetic backgrounds 0.677348 species varicella-zoster virus 0.678581 potential human health 0.692755 double-blind placebo-controlled trial 0.681529 public health literature 0.693747 B. Thacker CDC 0.806041 et al 0.674303 study National Birth 0.693052 national survey data 0.691183 Thacker CDC Library 0.806025	CLICK HERE
6474	Centers for Disease Control and Prevention	Html	en	Prevalence of asthma among adults in metropolitan versus nonmetropolitan areas in Montana, 2008	The objective of this study was to compare the prevalence of asthma among adults living in metropolitan versus nonmetropolitan counties in Montana.	potential respondents 0.32404 United States 0.48823 current asthma prevalence 0.463037 logistic regression analyses 0.354863 NMNA counties 0.352648 NMNA respondents 0.326313 Human Services 0.316175 Risk Factor Surveillance 0.355343 health insurance status 0.434816 Metro counties 0.316587 younger respondents 0.351386 nonwhite respondents 0.332844 rural areas 0.436078 asthma prevalence 0.7063 current asthma 0.618241 prevalence estimates 0.375534 public health 0.356965 Rural-Urban Continuum Codes 0.365209 lower annual household 0.343032 similar prevalence rates 0.342682 Montana 0.439779 metropolitan versus 0.327131 self-reported asthma 0.875559	multivariable logistic regression 0.36183 Asthma Call-back Survey 0.390825 versus nonmetropolitan counties 0.368869 self-reported current asthma 0.507405 metropolitan areas 0.319628 body mass index 0.366684 Obese respondents 0.35949 nonmetropolitan counties 0.518498 annual household income 0.704797 asthma 0.976911 urban areas 0.350002 potential geographic variation 0.342566 population 0.320873 respondents 0.590842 demographic risk factors 0.338256 Asthma Control Program 0.427773 current self-reported asthma 0.696858 sociodemographic characteristics 0.337352 metropolitan area 0.326743 American Indian/Alaska Native 0.34302 metropolitan county 0.435397 Behavioral Risk Factor 0.359453 self-reported asthma status 0.425227	CLICK HERE
7146	Centers for Disease Control and Prevention	Html	en	Global Health - Suriname	null	Content source 0.892652 HHS 0.699811 endorsement 0.682673 CDC 0.617915	non-federal site 0.998525 Notice 0.617482 sponsors 0.49087 information 0.490002	CLICK HERE
8797	Centers for Disease Control and Prevention	Html	null	Extreme Heat and the Elderly	Extreme Heat Media Toolkit			CLICK HERE
8987	Centers for Disease Control and Prevention	Video	en	CDC: Tips From Former Smokers - Tiffany: You Don't Quit Just for Yourself	Tiffany talks about losing her mother, a smoker, to lung cancer when she was 16. Despite this, Tiffany smoked for years before realizing what she might miss in her own daughter's life. In this video from CDC's Tips From Former Smokers campaign, Tiffany's daughter's, Jaelin, says she cannot imagine living without her mother. Jaelin goes on to tell her mom how proud she is of her for quitting smoking for good. 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=ff67b50b6de6064f26c7bb347d2aa68f20130326152816255	Tiffany 0.974332 Smokers 0.996151	CDC 0.979113 YouTube 0.926248	CLICK HERE
10431	Centers for Disease Control and Prevention	Html	en	Roadmap for State Program Planning - Tools'State Resources'DHDSP'CDC	null	track health objectives 0.595512 BRFSS core health 0.619911 tool create online 0.549584 health promotion projects 0.582245 stroke mortality rates 0.769406 high blood cholesterol 0.545036 social determinants 0.532768 health topics 0.5317 evaluation plan 0.538399 congestive heart failure 0.579325 best practice programs 0.538676 national monitoring data 0.553167 National Center 0.542361 Partnerships Analysis Tool 0.62532 Stroke Statistics 0.571663 data collection program 0.567025 heart disease statistics 0.688845 Stroke Treatment Program 0.612033 American Heart Association 0.601472 Health Maps 0.542437 Health Statistics 0.589806 Chronic Disease Cost 0.590778 health problems 0.532857 current county-level variables 0.559807 Stroke Prevention Management 0.618575	Behavioral Risk Factor 0.53794 heart disease death 0.659176 public domain software 0.541368 health promotion 0.63641 CDC HDSP Program 0.552327 Community Tool Box 0.55862 stroke prevention programs 0.754572 heart disease 0.948698 Survey Generation Tool 0.549882 county heart disease 0.636685 public health professionals 0.597239 Gantt chart-based project 0.542994 CDC Heart Disease 0.646107 Metropolitan/Micropolitan Area Risk 0.548198 ASTP guides hospitals 0.542125 Primary Stroke Center 0.607947 primary health care 0.576283 chronic disease programs 0.580637 in-hospital resuscitation teams 0.53831 prevention programs development 0.57667 high blood pressure 0.535309 Wizard (PEW) 0.544843 Community Preventive Services 0.533652 coronary heart disease 0.62738	CLICK HERE
11745	Centers for Disease Control and Prevention	Html	en	Norovirus | Reporting and Surveillance | CDC	Reporting and surveillance of norovirus utilizing NORS and CalicNet	norovirus outbreaks 0.953408 Public health agencies 0.352689 United States 0.342611 national surveillance 0.234475 current norovirus outbreak 0.465697 CDC surveillance systems 0.442383 norovirus outbreak 0.566914 territorial health departments 0.418576 monitor norovirus strains 0.480894 norovirus outbreak surveillance 0.537489 norovirus illness 0.686194 territorial health department 0.374856 state health departments 0.564169 new strains 0.268574 health departments 0.696515	Health care providers 0.367036 acute gastroenteritis 0.262205 surveillance network 0.445316 assess strain-specific characteristics 0.293939 Vaccine Surveillance Network 0.338513 norovirus outbreak reporting 0.472749 doctor’s offices 0.200872 local public health 0.339475 National Outbreak Reporting 0.463785 Norovirus Sentinel Testing 0.367545 outbreak frequency 0.266077 public health laboratories 0.598862 laboratory data 0.320977 Active Surveillance Network 0.339337	CLICK HERE
11905	Centers for Disease Control and Prevention	Html	en	CDC declares Ebola epidemic in West Africa	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	quality in-country care 0.644112 inpatient treatment 0.51716 new cadre 0.52397 repatriation needs 0.516835 international surveillance/epidemiology expert 0.622703 Treatment.  Emergently 0.516615 Ebola treatment units. 0.668052 Active surveillance 0.515696 full-time infection control 0.620197 entire health care 0.646301 Ebola diagnosis 0.547079 contact tracing 0.634958 incident management/Emergency Operation 0.63115 ample number 0.524722 health care staff 0.666528 fund flow mechanisms 0.621066 health care facilities 0.651614 forward action plan 0.643203 adequate funds 0.536648 reliable electronic communication 0.62278 infected.  Treatment facilities 0.627699 confidence restored.  Latex 0.597318 safe burial 0.52083 large outpatient facilities 0.602307 treatment capacity 0.523262	burial practice safety 0.612588 high level 0.527213 appropriate vehicles 0.518623 community leaders 0.523067 high levels 0.521124 infection control 0.791976 Sierra Leone 0.519556 days.  People 0.518035 foreign medical teams 0.610226 key steps 0.530919 community resources 0.521759 international response 0.538899 sub-national area 0.669381 Burial support. 0.520653 health care workers 0.830154 foreign health workers 0.637902 health care 0.970736 Mano River area 0.607473 key areas 0.535485 basic functionality 0.52191 essential functions 0.516214 general health care 0.651078 treatment unit beds 0.621199 Dr. Frieden 0.54401	CLICK HERE
12314	Centers for Disease Control and Prevention	Html	en	Diagnostic Criteria | Autism Spectrum Disorder (ASD) |NCBDDD	Autism Spectrum Disorders (ASDs) are a group of developmental disabilities that can cause significant social, communication and behavioral challenges. CDC is working to find out how many children have ASDs, discover the risk factors, and raise awareness of the signs.	various social contexts 0.553295 total lack 0.47684 multiple contexts 0.481886 repetitive patterns 0.599819 American Psychiatric Association 0.654921 Persistent deficits 0.523961 clinically significant impairment 0.528563 autistic disorder 0.480563 intellectual developmental disorder 0.54813 repetitive motor movements 0.541237 body language 0.47709 nonverbal communicative behaviors 0.564562 well-established DSM-IV diagnosis 0.524018 inflexible adherence 0.472372 excessive smelling 0.471785 simple motor stereotypes 0.530327 global developmental delay 0.530203 social demands 0.483476 language impairment 0.471929 small changes 0.471096 social interaction 0.554599 imaginative play 0.473266 comorbid diagnoses 0.475026 autism spectrum disorder 0.921987	abnormal social approach 0.564602 current severity 0.558913 social communication impairments 0.658088 normal back-and-forth conversation 0.540522 nonverbal communication 0.547329 genetic condition 0.527927 social communication 0.738107 social interactions 0.493885 facial expressions 0.473098 standardized criteria 0.479676 pervasive developmental disorder 0.543439 Statistical Manual 0.477887 comorbid catatonia 0.493913 intellectual impairment 0.47715 rigid thinking patterns 0.527117 early developmental period 0.532943 social-emotional reciprocity 0.487028 Coding note 0.571099 e.g. apparent indifference 0.53124 behavioral disorder 0.51469 nonverbal behavior 0.492054 eye contact 0.478519 additional code 0.574808	CLICK HERE
15944	Centers for Disease Control and Prevention	Html	en	Vaccination Coverage Among Children in Kindergarten - UnitedStates, 2015-16 School Year | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	complete vaccination 0.250263 nonmedical exemptions 0.303544 median MMR coverage 0.239456 data 0.680109 catch-up vaccination schedule 0.2624 exemption 0.44916 New York City 0.289999 vaccination coverage 0.96494 period/provisional enrollment data 0.278972 school 0.616396 medical exemptions 0.337576 children 0.294751 kindergartners 0.385646 median exemption rate 0.296183 vaccination assessments 0.257926 varicella vaccine 0.444936 school entry 0.37222 acellular pertussis vaccine 0.306489 median vaccination coverage 0.320837 vaccination coverage data 0.314113 private school data 0.24665 school vaccination coverage 0.314544 provisional enrollment 0.690162 kindergarten vaccination 0.313815 grace period 0.661534	schools 0.297357 Median vaccination coverage* 0.261228 state-level vaccination coverage 0.259599 rubella vaccines 0.296301 high vaccination coverage 0.240174 doses 0.548004 MMR coverage 0.356631 vaccination requirements 0.250466 public school data 0.361154 states 0.813703 percentage points 0.315128 kindergarten vaccination data 0.300031 immunization programs 0.443042 rubella vaccine 0.295852 exemptions 0.529276 grace period/provisional enrollment 0.524925 50 states 0.37992 missing vaccine doses 0.250586 varicella vaccine coverage 0.240056 DTaP vaccine 0.23939 median kindergarten vaccination 0.244831 vaccine 0.450889 exemption data 0.372796 vaccine-preventable diseases 0.262809	CLICK HERE