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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
797	Centers for Disease Control and Prevention	Html	en	QuickStats: Percentage of Adults Aged ≥18 Years with Hypertension Reporting Treatment* and Control† of Their Condition,§ by Race/Ethnicity — United States, National Health and Nutrition Examination Survey, 2011–2012	* Currently taking medication to lower blood pressure, based on affirmative responses to the following questions: "Because of your high blood pressure/hypertension, have you ever been told to take prescribed medicine?" and "Are you now following this advice to take prescribed medicine?" among those with hypertension.	mmwrq@cdc.gov. 0.591242 endorsement 0.537136 controlled hypertension 0.743519 Alternate Text 0.577917 Human Services 0.652417 assistive technology 0.594531 systolic blood pressure 0.789653 U.S. Department 0.648902 MMWR HTML versions 0.636471 Sarah Yoon 0.582183 diastolic blood pressure 0.789214 electronic PDF version 0.633627 e-mail 0.532282 blood pressure 0.971274 Contact GPO 0.587059 commercial sources 0.578256 mm Hg 0.804469 Steven M. Frenk 0.653709 PhD 0.523006 current prices 0.575287 different race 0.65885 affirmative responses 0.587577 original paper copy 0.635746 difference 0.528751	United States 0.5811 original MMWR paper 0.634216 lower blood pressure 0.804855 MMWR readers 0.578206 character translation 0.574952 Tatiana Nwankwo 0.584451 Persons 0.515913 Hispanic ethnicity groups 0.797201 format errors 0.57321 Non-Hispanic Asian adults 0.8582 following questions 0.583718 subject line 0.593016 Health 0.526815 typeset documents 0.576525 trade names 0.578303 high blood pressure/hypertension 0.675712 medication 0.63065 medicine 0.526483 official text 0.572856 non-CDC sites 0.576192 confidence interval 0.58734 information 0.515881 electronic conversions 0.572201 hypertension 0.820363	CLICK HERE
4630	Centers for Disease Control and Prevention	Html	en	CDC Knowledge to Action Science Clips	Science Clips	Local health authorities 0.59094 HIV care service 0.577797 data 0.614586 emergency department visits 0.675148 diagnosed HIV infection 0.580847 inflammatory disease emergency 0.577256 training programs 0.619363 children 0.590831 HIV care continuum 0.57649 intensive care unit 0.57559 results 0.602955 patients 0.576176 HIV medical care 0.58871 HIV treatment failure 0.576666 human parainfluenza virus-1 0.598997 emergency response personnel 0.600339 human parainfluenza virus-4 0.576614 human parainfluenza virus-3 0.576654 health survey data 0.584912 total percent change 0.650815 human immunodeficiency virus 0.696418 P&S syphilis 0.588407 health support services 0.575551 human parainfluenza virus 0.616931	drug resistance 0.582863 women 0.595455 Ebola virus disease 0.594897 treatment 0.588593 pertussis-positive infants 0.582492 United States 0.822497 annual percent change 0.653347 ED visits 0.623252 National HIV Surveillance 0.574502 white non-Hispanic MSM 0.590558 P&S syphilis diagnosis 0.587296 public health professionals 0.584779 public health 0.622602 human parainfluenza 0.670524 ACSC ED visits 0.590244 inflammatory disease diagnoses 0.577184 pelvic inflammatory disease 0.907889 inflammatory disease diagnosis 0.596484 HIV surveillance data 0.588486 non-US born residents 0.616211 rectal ct 0.588077 HIV infection 0.704845 annual HIV incidence 0.585483 HIV care services 0.578849	CLICK HERE
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
6395	Centers for Disease Control and Prevention	Html	en	Unhealthy Air Quality --- United States, 2006--2009	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.	fine particulate matter 0.580868 high school education 0.531821 ambient air quality 0.580662 Dockery DW 0.557604 multi-hour ozone exposure 0.587408 24-hour PM2.5 standard 0.652409 medium metropolitan counties 0.533124 Dominici F. Ozone 0.579818 highest income population 0.539782 Health Effects Institute 0.6155 ozone-related health effects 0.53559 air quality 0.665767 Pope CA 0.612496 8-hour ozone nonattainment 0.75509 ozone concentration 0.560244 24-hour PM2.5 concentrations 0.612403 air quality standards 0.569035 ozone production 0.608423 particulate air pollution 0.546072 small metropolitan counties 0.53236 nonattainment areas 0.543411 health effects 0.820242 maximum 8-hour ozone 0.617149 air pollutants 0.567152 ppm ozone 0.54879	United States 0.55326 well-characterized air pollutants 0.533155 ozone exposure 0.634055 particulate matter 0.60979 adverse health effects 0.561168 ozone nonattainment county 0.666535 8-hour ozone standard 0.664359 gaseous air pollutants 0.5314 PM2.5 nonattainment county 0.632208 ozone nonattainment counties 0.946966 Low-level ozone exposure 0.584796 fringe metropolitan counties 0.531201 Ground-level ozone 0.581332 ozone levels 0.56836 ambient ozone 0.544249 urban areas 0.591239 U.S. population 0.545504 PM2.5 nonattainment counties 0.700601 Environ Health Perspect 0.618552 Environmental ozone effects 0.597914 et al 0.794489 greatest percentage 0.539335 metropolitan counties 0.548956 air pollution 0.727588	CLICK HERE
7837	Centers for Disease Control and Prevention	Html	en	Health Marketing Basics	Health Marketing Basics - Gateway to Health Communication - CDC	diverse populations 0.558384 successful marketing mix 0.641698 health information 0.577622 new drink 0.599672 marketing plans 0.587461 clear target market 0.673982 major grocery store 0.605308 social needs 0.563742 end user 0.563406 current tests 0.558091 state health departments 0.613159 traditional marketing 0.678826 non-monetary price 0.559916 customer needs 0.558693 new testing kits 0.611546 marketing plan 0.673368 diabetes example 0.569786 marketing mix elements 0.645518 fundamental aspects 0.615823 new product 0.601453 public health service 0.629704 effective target market 0.68156 exchange 0.566004 marketing resources 0.584661 marketing process 0.633112	commercial product 0.572937 traditional marketing theories 0.654111 target markets 0.677627 target market 0.945916 target health issue 0.664891 ‘target market 0.584267 example 0.610519 effective marketing plan 0.633374 science based strategies 0.616933 testing kits 0.611749 local health departments 0.612113 product 0.61472 marketing mix 0.662531 medical journals 0.557891 different markets 0.602942 specific market 0.583853 people 0.563886 fundamental marketing elements 0.642312 marketing 0.813673 larger market 0.578029 health marketing 0.781687 HIV testing kit 0.606039 marketing efforts 0.579444 effective ‘marketing mix 0.616967	CLICK HERE
9064	Centers for Disease Control and Prevention	Html	en	Climate Change and Transportation - Health Communication	Climate Change and Transportation - Gateway to Health Communication - CDC	global concentrations 0.482932 atmosphere 0.444614 motor vehicle travel 0.564754 land use patterns 0.482338 streets 0.437024 Carbon dioxide 0.482804 couple times 0.474271 transportation choices 0.494289 vehicle miles 0.483145 atmospheric concentrations 0.481344 land development techniques 0.534113 fewer GHGs 0.478959 climate change 0.704016 public transportation systems 0.567301 sport utility vehicles 0.564716 necessary component 0.478049 building developer 0.469928 large-scale emitters 0.483397 fuel intensive forms 0.53185 private vehicles 0.529506 public transportation 0.785196 office buildings 0.471584 harmful climate change 0.558814 elementary school 0.47058 largest sources 0.488798	transportation emissions 0.588901 rate GHG emissions 0.671313 best ways 0.474802 transportation infrastructure 0.496515 unique community 0.476257 United States 0.568806 GHG emissions 0.944286 largest transportation systems 0.565404 new developments 0.473343 community’s residents 0.477028 pickup trucks 0.488551 travel mode 0.476358 greenhouse gas 0.572364 available transit services 0.530254 severe impacts 0.478762 walking 0.431537 primary greenhouse gas 0.549827 transportation sector 0.503416 passenger cars 0.486881 urban areas 0.47329 people 0.456002 smart growth 0.527767 particular area 0.482849 transportation-related GHG emissions 0.667666	CLICK HERE
11278	Centers for Disease Control and Prevention	Html	en	Young Worker Safety and Health: Selected Charts on Young Worker Employment, Injuries and Illnesses: Rates of Work-related Injuries and Illnesses Treated in Hospital Emergency Departments by Year, 15-17 Year-Olds, United States	Young Worker Safety and Health: Selected Charts on Young Worker Employment, Injuries and Illnesses: Rates of Work-related Injuries and Illnesses Treated in Hospital Emergency Departments by Year, 15-17 Year-Olds, United States	NIOSH Work Supplement 0.593993 highest rate 0.465671 CDC 0.339661 Download data 0.450021 United States 0.788558 Health 0.332095 Illnesses Treated 0.821976 rates 0.423192 Charts 0.36089 work-related nonfatal injuries 0.824693 fulltime equivalents 0.642245 graph 0.331447	Hospital Emergency Departments 0.923754 time period 0.463544 Young Worker Employment 0.951672 Excel 0.326796 Young Worker Safety 0.681002 olds 0.336319 Year-Olds 0.429788 Download image file 0.577824 Work-related Injuries 0.835497 lowest rate 0.470663 Electronic Injury Surveillance 0.576584	CLICK HERE
11348	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease GIS Snapshot | Comparing Apples to Oranges: Comparative Case Study of 2 Produce Carts in Chicago - CDC	In June 2012, the Chicago Department of Public Health passed ordinances to legalize mobile produce vending throughout the city, provided at least 50% of produce carts operate in designated underserved areas. In response, the Neighbor Carts program emerged to promote the opportunity for economic success and healthful food access through an unconventional retail structure.	underserved zones 0.744767 Northwestern University 0.756667 larger evaluation 0.691334 underserved zone 0.907086 local business support 0.669196 Lake Shore Dr 0.657761 Future evaluation 0.606672 centrally located Streeterville 0.712435 Chicago Department 0.628238 Bessie Feinberg Foundation 0.66745 customer intercept survey 0.713991 0.5-mile walking radius 0.670826 Neighbor Carts program 0.851085 customer volume 0.612176 produce carts 0.887466 unique consumer trends 0.665328 produce vending programs 0.692644 code data 0.609032 broad service area 0.682861 customer age 0.617372 geo-demographic information 0.60793 over-arching program goals 0.686265 Neighbor Capital 0.60662 individual cart sustainability 0.732153 closer proximity 0.606431	mobile produce carts 0.863758 Public Health 0.689453 geographic information systems 0.682708 unconventional retail structure 0.69007 University institutional review 0.683703 L. M. Anderson 0.675872 Chicago neighborhoods 0.638161 different evaluation metrics 0.680402 public transportation lines 0.672633 customer surveys 0.623345 Nutrition Assistance Program 0.697335 program effectiveness 0.803753 city ordinances 0.610403 recording self-reported customer 0.737965 poor nutritional intake 0.66124 program improvement 0.615984 maps highlight customer 0.712193 service area 0.905189 Maps. Customer utilization 0.731522 economic success 0.607404 cart success 0.663269 Public Health Service 0.684984 healthful food access 0.86896 North Lawndale neighborhood 0.714858	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
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