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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
5185	Centers for Disease Control and Prevention	Html	en	Vermont Activities to Prevent HAIs	null	MPEG 0.250796 funding 0.480125 monthly update 0.700388 Program 0.245534 email address 0.982938 Infection Control Assessment 0.646502 different file formats 0.60504 Affordable Care Act 0.614303 Epidemiology 0.42061	recent work 0.676102 Infection Prevention 0.45571 infectious disease 0.74872 PPT 0.264322 Laboratory Capacity 0.849129 Infectious Diseases 0.870834 DOC 0.248511 page 0.296895 ELC 0.484659	CLICK HERE
5226	Centers for Disease Control and Prevention	Html	en	U.S. Teen Birth Rate Fell to Record Low in 2009 - Press Release: April 5, 2011	U.S. Teen Birth Rate Fell to Record Low in 2009	key priority 0.233659 sexually active teen 0.747229 Mortality Weekly Report 0.368827 collaborative effort 0.225927 latest CDC Vital 0.506828 teen mothers 0.507081 sex education 0.256763 teen girls 0.878921 CDC Director Thomas 0.449393 CDC journal Morbidity 0.426961 health care-associated infections 0.365967 Hispanic teen girls 0.660259 unintended pregnancy 0.264896 pregnancy prevention 0.278444 tax revenue 0.233672 white teen girls 0.651175 teen pregnancy 0.983395 black teen girls 0.656225 sexual intercourse 0.273177 birth control pills 0.405098 birth control 0.605941 teen parents 0.508318 high cost 0.241953 cancer prevention 0.236285 cost U.S. taxpayers 0.356252	United States 0.248781 black teen males 0.64057 Signs report 0.290231 percent 0.488546 cardiovascular health 0.251633 non-Hispanic blacks 0.25985 U.S. DEPARTMENT 0.238846 latest data 0.23655 teen childbirth 0.534468 key health indicators 0.366297 motor vehicle passenger 0.346298 white teens 0.273168 public expenditures 0.241787 effective birth control 0.403612 human services 0.364892 R. Frieden 0.261678 food safety 0.235227 visit www.cdc.gov/vitalsigns 0.227115 CDC Vital Signs 0.96366 Teen birth rates 0.752018 high school diploma 0.357314 teen boys 0.581209 U.S. rates 0.271759 low school achievement 0.353881	CLICK HERE
7293	Centers for Disease Control and Prevention	Html	en	Vital Signs: Walking Among Adults - United States, 2005 and 2010	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.	equivalent aerobic activity 0.474215 physical activity assessment 0.470828 weekly walking time 0.502356 National Health Interview 0.480859 leisure-time walking questions 0.504573 moderate-intensity physical activity 0.473623 MMWR Early Release 0.437377 land use policies 0.455718 numerous health benefits 0.449414 Health Interview Surveys 0.447298 National Center 0.451596 substantial health benefits 0.507772 body mass index 0.471248 gain health benefits 0.443562 Health Interview Survey 0.444166 Public health efforts 0.443912 aerobic physical activity 0.797368 regular physical activity 0.522528 frequently reported activity 0.461886 assistance status 0.437853 health benefits 0.512755 National Physical Activity 0.479549 age group 0.438208 Usual walking time 0.506985 mass index category 0.469373	National Prevention Strategy 0.438387 percentage points 0.444725 public health strategy 0.445988 Physical Activity Guidelines 0.514015 health characteristic categories 0.446404 public health implications 0.43953 Public Health Practice 0.448644 National Cancer Institute 0.456442 higher walking prevalence 0.520157 public health 0.494732 U.S. residents 0.515721 physician-diagnosed chronic disease 0.437975 vigorous-intensity activity 0.441568 NHIS cancer control 0.436783 chronic diseases 0.4728 age-adjusted national estimates 0.437634 adult core questionnaire 0.457371 U.S. adults 0.513951 physical activity 0.966581 Chronic Disease Prevention 0.452222 public health data 0.446782 Dianna D. Carroll 0.454433 physical activity guideline 0.696703 recent walking 0.482934	CLICK HERE
8129	Centers for Disease Control and Prevention	Html	en	Sodium and Food	null	average 0.412431 fact 0.413382 access 0.413048 high levels 0.466623 different sodium levels 0.734114 milligrams 0.413227 restaurant foods 0.486743 cottage cheese 0.466156 example 0.424343 day.2 0.413205 sodium Americans 0.763331 canning 0.414658 salt shaker 0.476292 milling. 0.412678 chicken noodle soup 0.529205 mg 0.447444 dehydration 0.416058 term 0.412776 cooking 0.428753 power 0.41302 table 0.414625 consumer 0.413004 sodium food options 0.77614 lower sodium choices 0.742931	types 0.422231 billions 0.416867 product 0.412736 cases 0.412986 rolls—to eggs 0.471048 sodium content 0.739012 daily sodium 0.714279 health care dollars 0.53922 Processing certain foods 0.536736 raw chicken 0.46732 lower sodium 0.767271 raw agricultural commodity 0.533799 Different brands 0.465481 food matter 0.58061 Dietary Guidelines 0.55265 grocery store 0.468302 sodium 0.924211 freezing 0.414304 high blood pressure 0.537761 millions 0.413622 growth 0.412616 healthy eating pattern 0.533839 breast deli meat 0.520828	CLICK HERE
12436	Centers for Disease Control and Prevention	Html	en	Disease Detectives Lab Team 5 - CDC Responds to the 2014 Outbreak	CDC works 24/7 saving lives, protecting people from health threats, and saving money to have a more secure nation. A US federal agency, CDC helps make the healthy choice the easy choice by putting science and prevention into action. CDC works to help people live longer, healthier and more productive lives.	testing process 0.447143 Ebola samples 0.767292 Ebola treatment unit 0.998278 nearby Ebola treatment 0.76124 advanced robotic extraction 0.551814 CDC Foundation 0.504169 leader Tara Sealy 0.586395 Ebola virus 0.830811 High Consequence Pathogens 0.562037 South African technicians 0.553406 true condition 0.454797 remote forested regions 0.550379 CDC’s Bo 0.546209 Team member Aridth 0.596529 early treatment 0.461694 extensive experience 0.444899 team leader Tara 0.808613 highest-security BSL-4 labs 0.559029 CDC’s Division 0.505284 team members 0.476176 Bo Lab Team 0.837459 CDC’s Ebola 0.875945 team member Brandy 0.604932 lab technicians 0.468527 frustrating delays 0.443404	group isolation 0.451431 Ebola survivor 0.646155 blood samples 0.466039 Ebola testing lab 0.907952 Borders Ebola treatment 0.803536 Sierra Leone 0.598347 deadly pathogens 0.44685 team member 0.677981 Rapid Ebola testing 0.86367 potentially infected blood 0.563347 terrible generator issues 0.542863 CDC team 0.544572 Sierra Leone epidemic 0.589164 CDC lab 0.530737 bulky PAPR suits 0.53915 Sierra Leone lab 0.582108 all-woman team 0.524383 team 0.838401 infected person 0.447385 Ebola response 0.737113 appropriate treatment 0.456927 Ebola treatment units 0.838067 West Africa 0.58125 28-day rotation 0.445011	CLICK HERE
12864	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Cryptosporidiosis Associated withConsumption of Unpasteurized Goat Milk - Idaho, 2014	Mariana Rosenthal, PhD1,2, Randi Pedersen, MPH3, Scott Leibsle, DVM4, Vincent Hill, PhD5, Kris Carter, DVM2, Dawn M. Roellig, PhD5 (Author affiliations at end of text).	real-time polymerase chain 0.289136 identical Cryptosporidium genotype 0.33569 infrequently reported cryptosporidiosis 0.285942 Public Health District 0.327368 Dawn M. Roellig 0.288366 Zoonotic Infectious Diseases 0.38025 raw milk 0.490922 ill persons 0.455731 health care providers 0.576579 Idaho State Department 0.46657 National Center 0.250971 Central District Health 0.455753 District Health Department 0.613571 public health officials 0.305098 confirmatory laboratory evidence 0.266583 commercial laboratory 0.415731 Goat stool 0.226499 Environmental Diseases 0.250792 Southwest District Health 0.469506 fluorescent antibody test 0.426117 illness onset 0.292086 3Southwest District Health 0.313125 Cryptosporidium parvum subtype 0.354308 direct fluorescent antibody 0.426156	1Epidemic Intelligence Service 0.256814 Idaho Bureau 0.281469 production line 0.26214 epidemiologic evidence 0.270251 undetected contamination event 0.266272 raw milk consumption 0.480799 Public Health Districts 0.470131 Mariana Rosenthal 0.295605 Idaho law 0.235788 CDC case definitions 0.312924 milk samples 0.405759 obvious contamination sources 0.267119 District Health 0.639274 public health 0.689944 goat DNA amplification 0.28902 Idaho Department 0.37671 unpasteurized milk 0.318357 common source 0.246926 Idaho DPH 0.311718 hold order 0.3835 milk contamination 0.313143 Idaho health care 0.367015 Communicable Disease Prevention 0.412308 raw goat milk 0.929869	CLICK HERE
13389	Centers for Disease Control and Prevention	Html	en	CDC Foundation's New Business Pulse Focuses on Food Safety |CDC Online Newsroom | CDC	CDC Foundation’s New Business Pulse Focuses on Food Safety	foodborne diseases 0.771696 Centers 0.528856 foodborne infections 0.764184 CDC Foundation 0.793912 Waterborne 0.542108 deputy director 0.669752 M.D. 0.526299 percent 0.532291 food safety challenges 0.792747 Foodborne illness 0.769449 Prevention 0.528767 expert Robert Tauxe 0.792561 CDC tools 0.75728 Disease Control 0.674309 U.S. DEPARTMENT 0.643754 M.P.H. 0.526265	guidelines 0.52532 links 0.525419 businesses 0.553833 contaminated foods 0.681546 issue 0.526685 fights 0.537869 useful facts 0.654037 resources 0.525286 question-and-answer feature 0.673912 visit http://www.cdcfoundation.org/businesspulse 0.638725 food safety 0.956004 American consumers 0.67184 CDC’s Division 0.765514 Environmental Diseases 0.653885 HUMAN SERVICES 0.64326 Business Pulse 0.900946	CLICK HERE
14025	Centers for Disease Control and Prevention	Html	en	E-cigarette Ads and Youth | VitalSigns	CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics.	tobacco prevention approaches 0.44014 electronic cigarettes 0.301182 positive example 0.282868 control programs 0.462171 magazines/newspapers 0.251603 unregulated tobacco products 0.458691 active role 0.281742 youth 0.65585 state tobacco prevention 0.454855 E-cigarette companies 0.306427 Fund tobacco prevention 0.599984 Work 0.23491 e-cigarette ads 0.488623 health care providers 0.35514 brain development 0.303469 Real Cost 0.285954 tobacco prevention 0.740682 media children 0.276902 saw e-cigarette ads 0.391034 saw e-cigarettes ads 0.383291 tobacco products 0.869113 tobacco prevention actions 0.470871 mass media campaigns 0.501106 Internet 0.299943 health effects 0.284259	TV/movies 0.251578 Tobacco product advertising 0.493798 advertising spending 0.28634 tobacco price increases 0.605404 comprehensive smoke-free laws 0.525981 high-impact mass media 0.51552 states 0.238447 Support efforts 0.369326 Fresh Empire 0.282813 e-cigarette vendors 0.296643 free help 0.284961 CDC’s Tips 0.28451 middle school students 0.631431 youth tobacco prevention 0.586113 e-cigarette advertisements 0.309402 age verification 0.279142 high school students 0.971506 e-cigarettes 0.519629 high school youth 0.599634 continued tobacco product 0.497725 CDC-recommended levels 0.380115 websites 0.242369 ad exposure 0.370215 retail stores 0.676383	CLICK HERE
15275	Centers for Disease Control and Prevention	Video	en	Centers for Disease Control and Prevention - Saving Lives. Protecting People	The DSNS video is to educate internal and external audiences on the importance of the Strategic National Stockpile in CDC’s mission to secure the nation’s health. The video will describe, at a minimum, the general response mission of the SNS, including large and small-scale responses, and the preparedness work underway in the division. 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/OPHPR/2016/ophpr-dsns-highlight-video_1164263.mp4	OPHPR DSNS Highlight 0.907579		CLICK HERE
16213	Centers for Disease Control and Prevention	Html	en	Trends in Obesity Among Participants Aged 2-4 Years in theSpecial Supplemental Nutrition Program for Women, Infants, andChildren - United States, 2000-2014 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	WIC state agencies 0.92207 overall prevalence 0.220628 prevalence ratios 0.216692 overall obesity trend 0.232734 prevalence ratio 0.215883 Obesity prevalences 0.204917 national prevalence 0.221685 WIC children 0.310493 Northern Mariana Islands 0.235149 Supplemental Nutrition Program 0.272767 House Childhood Obesity 0.224863 early childhood obesity 0.345999 WIC state agency 0.325961 Pediatric Nutrition Surveillance 0.222189 U.S. Poverty Level 0.212455 low-income young children 0.207096 WIC benefits 0.269559 sex-specific body mass 0.204637 non-Hispanic blacks 0.206337 WIC PC 0.395606 obesity prevention 0.233528	adjusted prevalence 0.223189 WIC food packages 0.276188 U.S. territories 0.255029 non-Hispanic whites 0.204572 obesity prevalence 0.810894 overall obesity trends 0.235208 Special Supplemental Nutrition 0.275397 CDC growth charts 0.20667 child nutrition programs 0.211952 WIC young children 0.422347 high prevalence 0.206164 USDA WIC program 0.277663 physical activity 0.250418 low-income families 0.238402 ECE Obesity Prevention 0.223366 overall obesity prevalence 0.446581 obesity surveillance 0.209503 childhood obesity 0.357304 WIC PC data 0.378833 national obesity initiatives 0.222978	CLICK HERE