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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
1178	Centers for Disease Control and Prevention	Html	en	10 Years of Tourette Syndrome Education and Research | CDC Features	Tourette Syndrome Awareness month is May 15-June 15. Learn more about CDC’s decade of work doing research and educating the public on Tourette Syndrome.	MEB conditions 0.461764 Tourette Syndrome 0.617951 mental health 0.45926 chronic tic disorders 0.498944 research 0.462058 neurological condition 0.459518 children 0.563731 sudden twitches 0.46274 new information 0.459281 community programs 0.45854 TS patients 0.68169 CBIT program 0.480147 Tourette Health 0.482364 special educational services 0.501378 promising new treatment 0.501857 Tourette Syndrome Awareness 0.534623 wide-ranging impact 0.461564 Tourette Syndrome Association 0.510716 Comprehensive Behavioral Intervention 0.495132 CDC’s decade 0.466928 children’s lives 0.470244 Supports families 0.457358 high impact 0.460641 Tic symptoms 0.468347	public health impact 0.507153 MEB condition 0.462922 health care needs 0.498054 Tourette Association 0.518957 TS experience tics 0.794378 TSA-CDC educational materials 0.495315 national surveillance efforts 0.484714 much-needed educational programs 0.508934 South Carolina 0.49445 CBIT programs 0.490728 health services 0.45686 nationally representative sample 0.485881 public health concern 0.509681 tic disorders 0.584214 healthcare professionals 0.537147 Health Resources 0.458696 public health 0.557101 TS diagnosis 0.684223 outreach efforts 0.498635 attention-deficit/hyperactivity disorder 0.45694 families 0.478943 people 0.512485 education professionals 0.463635 early adulthood 0.458979	CLICK HERE
5084	Centers for Disease Control and Prevention	Html	en	Science Clips - Monday, March 15, 2010	null	colorectal cancer trends 0.514292 NCRP report 0.467788 Hispanic women 0.457211 CDC Knowledge 0.593636 Annual report 0.465997 Action Science Clips 0.905099 prenatal carrier screening 0.513247 factual accuracy 0.456703 new weekly digest 0.52662 coal mining injury 0.505014 claims data 0.458627 national tobacco cessation 0.506616 risk factors 0.459028 unknown status 0.458122 Chief Science Officer 0.528778 U.S. communities 0.458821 new regimens 0.469169 rotavirus infections 0.467287 HIV-negative partners 0.469844 HIV-positive partners 0.47349 Curr Opin Pulm 0.527332 DHHS 0.466337 acute gonococcal infections 0.513415 New drugs 0.461757 public domain 0.46453	Stephen B. Thacker 0.632702 drug development pipeline 0.512122 cervical cytology screening 0.514792 Building consumer demand 0.511122 United States 0.457798 HIV-positive injection drug 0.519998 employer-sponsored private insurance 0.514238 folic acid awareness 0.509431 spina muscular atrophy 0.509652 national programmes 0.459272 ACOG practice bulletin 0.509611 panel data analysis 0.502443 tobacco-cessation products 0.466465 public health literature 0.502511 B. Thacker CDC 0.711345 birth defects 0.457793 original authors 0.45713 Prev Med. 0.471228 future rates 0.462489 original sources 0.467272 Tong VT 0.465035 news sources 0.458428 Treatment cost 0.460848 state insurance policies 0.505876	CLICK HERE
5836	Centers for Disease Control and Prevention	Html	en	Oxalic acid - NIOSH Pocket Guide to Chemical Hazards	null	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
7799	Centers for Disease Control and Prevention	Html	en	Ovarian Cancer - Health Communication	Gateway to Health Communication and Social Marketing Practice - Ovarian Cancer	oral contraceptives 0.476965 Corinne’s family 0.451889 common type 0.439277 appropriate tests 0.433608 stage ovarian cancer 0.536231 close relatives 0.437362 tumor marker 0.434517 hysterectomy 0.415987 rough time 0.433748 tubal ligation 0.479928 Germ cell tumors 0.473814 non-gynecologic conditions 0.437911 blood levels 0.434447 transvaginal ultrasound 0.438566 Corinne 0.45838 Pap test 0.435075 tumor markers 0.43609 ovarian cancer 0.938794 younger women 0.441018 history 0.413965 women age 0.463933 Corinne’s problem 0.450261 female hormones 0.44307 symptoms 0.422295 certain risk factors 0.466735	menstrual cycle 0.443562 annual pelvic exam 0.464552 egg-producing cells 0.439084 new cases 0.439146 women 0.467667 potential screening methods 0.466102 woman 0.447747 ovaries 0.447775 sooner ovarian cancer 0.597286 Epithelial carcinoma 0.442524 aggressive therapy 0.434998 familial predisposition 0.438884 abdominal pain 0.436649 ovarian cancer increases 0.550335 stromal tumors 0.440698 types 0.414115 disease 0.477583 greater chance 0.440345 colon cancer 0.447536 common form-epithelial-is 0.438174 better chance 0.472992 Corinne’s friends 0.450356 prophylactic oophorectomy 0.439589 screening test 0.43422	CLICK HERE
10683	Centers for Disease Control and Prevention	Html	null	Business Improvements	Centers for Disease Control and Prevention's (CDC) Business Improvements			CLICK HERE
10815	Centers for Disease Control and Prevention	Html	en	QuickStats: Percentage of Adults Aged ?18 Years Who Looked Up Health Information on the Internet, by Age Group and Sex--- National Health Interview Survey, United States, January--September 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.	mmwrq@cdc.gov. 0.484187 endorsement 0.368145 adult core component 0.611048 Alternate Text 0.45837 Human Services 0.577895 assistive technology 0.492977 health information 0.962191 National Health Interview 0.632915 final data files 0.604885 MMWR HTML versions 0.576873 U.S. Department 0.57138 electronic PDF version 0.57166 percentage 0.734187 e-mail 0.365978 estimates 0.402779 household interviews 0.464027 higher percentage 0.729355 Contact GPO 0.477677 commercial sources 0.458537 age groups 0.620898 current prices 0.453321 final weighting 0.473327 persons 0.443063 original paper copy 0.576347	Internet 0.523924 women 0.429288 earlier public access 0.602151 original MMWR paper 0.572679 age group 0.461969 adults 0.383199 assistance 0.332287 percentage points 0.586822 MMWR readers 0.45836 character translation 0.452376 format errors 0.449026 final data editing 0.607433 survey data 0.477908 civilian noninstitutionalized population 0.600635 question 0.359383 subject line 0.489966 typeset documents 0.455553 trade names 0.458629 official text 0.448153 sample 0.35278 non-CDC sites 0.454384 confidence interval 0.48167 Accommodation 0.3321 electronic conversions 0.446729	CLICK HERE
10851	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Comparing Farmers™ Market Revenue Trends Before and After the Implementation of a Monetary Incentive for Recipients of Food Assistance - CDC	We examined the influence of an intervention to increase fruit and vegetable purchases at farmers’ markets for recipients of food assistance, Shop N Save (SNS), on revenue trends at a farmers’ market located at a federally qualified health center (FQHC) in rural South Carolina. We compared revenue trends for 20 weeks before the intervention (2011) and 20 weeks after (2012).	sales receipts 0.440234 SNS participants 0.471808 Fresh Start Farmers 0.434934 Supplemental Nutrition Program 0.388698 rural South Carolina 0.430713 market food assistance 0.411678 SNS unique identification 0.434407 revenue trends 0.481239 WIC FMNP vouchers 0.430663 healthy food retailers 0.391936 produce-only farmers 0.433078 food assistance dollars 0.417285 incentive programs 0.412394 FQHC-based farmers 0.437493 SNS enrollment 0.412091 Market Nutrition Program 0.421963 assistance incentive programs 0.3894 FMNP vouchers 0.491434 Total food assistance 0.389458 market 0.615487 food assistance incentive 0.407508 food assistance benefits 0.38815 federal food assistance 0.541446 Senior FMNP vouchers 0.439128 Senior FMNP 0.486233	food assistance programs 0.433845 WIC FMNP 0.465725 rural farmers 0.424958 SNS intervention 0.4472 future farmers 0.415949 farmers 0.761089 WIC Farmers 0.504542 farmers markets 0.462669 South Carolina 0.645889 Prevention Research Center 0.391047 SNS program 0.411385 SNS 0.658585 monetary incentive 0.549748 SNS coupon 0.415282 SNS customer 0.418486 nutrition assistance program 0.411444 federally qualified health 0.388886 food assistance revenue 0.518808 food assistance 0.919698 SNAP 0.454864 food assistance recipients 0.448357 monetary incentive programs 0.393378 Senior FMNP voucher 0.389265 small-scale farmers 0.448888	CLICK HERE
11923	Centers for Disease Control and Prevention	Html	en	Epidemiologic Risk Factors to Consider when Evaluating a Person for Exposure to Ebola Virus	null	country 0.209281 Laboratory processing 0.306309 uncertain control measures 0.413823 appropriate PPE 0.908847 Ebola cases 0.310604 Ebola survivors 0.305018 public health authorities 0.206456 urban settings 0.274645 widespread transmission 0.565445 Ebola virus 0.504839 n’t showing symptoms 0.2196 following epidemiologic risk 0.238557 Brief direct contact 0.226557 direct contact 0.515096	close contact 0.215942 potential exposure 0.210455 disease.  Unprotected contact 0.222236 high risk exposures 0.219511 public health 0.237921 personal protective equipment 0.229067 public health actions 0.233676 body fluids 0.553286 symptoms 0.31816 mucous membrane exposure 0.249157 person 0.632177 Ebola 0.800545 standard biosafety precautions 0.35679	CLICK HERE
12680	Centers for Disease Control and Prevention	Video	en	Wes Studi: Seasonal Flu	Wes Studi, Hollywood actor and Cherokee tribal member, explains how American Indians and Alaska Natives are at risk for the flu. Mr. Studi reaches out to tribal communities and offers ways to prevent the spread of flu and protect the circle of life. 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/CircleOfLife	Seasonal Flu 0.893038	Wes Studi 0.994488	CLICK HERE
13443	Centers for Disease Control and Prevention	Html	en	Long-term Care Facilities | NHSN | CDC	CDC’s National Healthcare Safety Network is the nation’s most widely used healthcare-associated infection tracking system.	decrease costs 0.620308 CDC 0.441039 data 0.428528 residential care facilities 0.699877 questions 0.427465 deadlines 0.442089 issues 0.427555 track progress 0.58268 newsletters 0.427961 long-term care component 0.748028 Record 0.428029 chronic care facilities 0.704658 goals 0.428284	systematic way 0.584121 application updates 0.565525 long-term care facilities 0.988256 skilled nursing facilities 0.706277 significant way 0.597146 facilities track infections 0.810221 e-mail communications 0.568797 NHSN 0.454429 national healthcare-associated infection 0.715078 national level 0.5673 Healthcare Safety Network 0.738278 nursing homes 0.561111 LTCFs 0.427623	CLICK HERE