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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
762	Centers for Disease Control and Prevention	Html	en	The Surprising Truth About Prediabetes | CDC Features	Prevent or delay type 2 diabetes by learning your risk factors, eating right, becoming more physically active, losing a modest amount of weight, and managing stress. You can make a healthy change today.	CDC-led National Diabetes 0.568537 Hispanic/Latino Americans 0.233017 African Americans 0.221213 kidney failure 0.211657 type 0.827707 American adults—more 0.241254 National Diabetes Prevention 0.825998 lifestyle changes 0.724528 severe symptoms 0.224464 risk increases 0.221958 heart disease 0.432099 immune reaction 0.234177 200-pound person 0.204599 nerve damage 0.384603 higher risk 0.396506 risk factors 0.225399 Modest weight loss 0.377396 prediabetes 0.356605 best time 0.21676 major complications 0.207915	blood sugar levels 0.420179 people 0.367319 diabetes-related health problems 0.386985 increasingly children 0.227357 American Indians 0.212081 Pacific Islanders 0.228209 health problems 0.651373 Diabetes Prevention Program 0.812773 regular physical activity 0.665733 health condition 0.232999 brisk walking 0.213731 major organ 0.209004 young adults 0.404959 risk 0.474062 older people 0.22625 Asian Americans 0.220667 clear symptoms 0.215388 blood sugar 0.461682 diabetes 0.960765 gradual disease 0.229932	CLICK HERE
1280	Centers for Disease Control and Prevention	Html	en	Sugar-Sweetened Beverage Consumption Among Adults - 18States, 2012	Gayathri S. Kumar, MD1,2, Liping Pan, MD2, Sohyun Park, PhD2, Seung Hee Lee-Kwan, PhD1,2, Stephen Onufrak, PhD2, Heidi M. Blanck, PhD2 (Author affiliations at end of text).	Gayathri S. Kumar 0.394424 highest prevalence 0.410929 fruit drink consumption 0.749956 SSB data 0.385551 noninstitutionalized U.S. adult 0.351463 optional SSB module 0.40601 healthful beverages 0.347178 energy drinks 0.368747 state-specific prevalence 0.346778 SSB consumption 0.659399 total SSB intake 0.409993 Seung Hee Lee-Kwan 0.351832 weight management 0.347137 Heidi M. Blanck 0.351549 United States apportion 0.351682 regular soda 0.918367 U.S. adult population 0.417942 fruit drink questions 0.370182 Behavioral Risk Factor 0.348465 regular soda consumption 0.489348 higher SSB consumption 0.49054 chronic health conditions 0.38925 fruit drinks 0.761998 preventive health practices 0.350206	SSB energy intake 0.429665 community venues 0.346995 median response rate 0.346711 states 0.412812 consumption frequency 0.365795 daily consumption 0.415106 diet soda 0.375049 non-Hispanic blacks 0.487223 health departments 0.346342 daily regular soda 0.447459 coffee drinks 0.373221 24-ounce soda 0.366683 chronic diseases 0.371738 BRFSS response rates 0.347734 SSB marketing 0.386433 U.S. adults 0.427848 response rates 0.363872 cell phone survey 0.348077 added sugars 0.423231 NHANES response rates 0.345348 daily ssb consumption 0.520678 Chronic Disease Prevention 0.370432 SSB questions 0.394757 SSB types 0.389322	CLICK HERE
7245	Centers for Disease Control and Prevention	Html	en	Notifiable Diseases and Mortality Tables - July 13, 2012	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.	H. influenzae 0.38519 National Center 0.301158 cases 0.344742 CDC 0.294632 novel influenza 0.645301 Total case counts 0.453652 pandemic influenza 0.953911 ** Data 0.347083 Cumulative total E. 0.474895	measles case 0.340533 Influenza Division 0.44437 2009 pandemic 0.764548 probable cases 0.326695 Respiratory Diseases 0.307833 rubella cases 0.309158 human infection 0.329946 influenza A virus 0.480607	CLICK HERE
9829	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Views of City, County, and State Policy Makers About Childhood Obesity in New York State, 2010"2011 - CDC	No single solution exists to reduce rates of childhood obesity in the United States, but public policy action is essential. A greater understanding of policy maker views on childhood obesity would provide insight into ways that public health advocates can overcome barriers to propose, enact, and implement obesity prevention policies.	state policy makers 0.591656 semistructured interview protocol 0.543988 implement obesity prevention 0.597145 Meyerson J. Views 0.525223 public policy action 0.559503 hypothetical solutions 0.534218 research 0.525481 public health advocates 0.564762 county health officials 0.52739 policy attention 0.537993 state legislators 0.531912 broader public official 0.52533 policy maker priorities 0.537223 childhood obesity prevention 0.625379 communication strategies 0.532913 obesity prevention policies 0.598899 solutions 0.53996 body mass index 0.536917 New York State 0.563962 childhood obesity rates 0.640617 Cornell University 0.536622 childhood obesity fall 0.610092 respondents 0.584416 policy influence 0.526202 childhood obesity initiatives 0.597143	frequently cited cause 0.527383 least-often cited causes 0.530261 commonly cited source 0.540127 commonly cited causes 0.529443 county health 0.534732 policy maker views 0.538939 United States 0.573829 policy maker 0.610341 specific hypothetical solutions 0.527286 food industry 0.530918 Fewer respondents 0.531799 county health directors 0.52721 New York 0.602092 Recent policy attention 0.535163 political party 0.530973 government-funded obesity education 0.566836 broader policy making 0.531458 physical activity 0.550415 obesity-related policy enactment 0.535339 policy environments 0.5261 Public Health Service 0.525913 childhood obesity 0.987991 policy makers 0.729271 appropriate policy solutions 0.539612	CLICK HERE
12306	Centers for Disease Control and Prevention	Html	en	Interim Recommendations for Ambulance Service Providers inWest African Ebola-Affected Areas | Ebola Hemorrhagic Fever |CDC	null	ambulance team 0.705099 decontamination 0.395084 biohazard bags 0.385358 PPE 0.707054 cab 0.49164 alcohol-based hand rub 0.362025 infection control 0.398637 ambulance team members 0.551178 Ebola care facilities 0.493482 example 0.361488 Ambulance personnel 0.398929 personal belongings 0.423865 rubber boots 0.365744 disposable ppe 0.50923 biohazard waste bags 0.421653 Ebola outbreak. Teams 0.405397 direct contact 0.367426 tight fitting lids 0.361771 tight-fitting lid 0.397816 central ambulance maintenance 0.48122 Ambulance teams 0.410008 chlorine solution 0.498067 vehicle maintenance depot 0.39722 personal protective equipment 0.373099	easily cleanable materials 0.362294 World Health Organization 0.36228 basic infection control 0.36562 patients 0.4162 liquid waste 0.362665 appropriate ppe 0.524088 ambulance 0.745712 body fluids 0.49874 facility protocol 0.404279 ambulance team member 0.433862 patient care equipment 0.366845 centralized vehicle maintenance 0.395805 decontamination teams 0.374003 medical waste container 0.360812 Ebola care facility 0.995924 reusable equipment 0.393426 reusable ppe 0.447185 injuries. Ebola 0.37502 Vehicle cleaning 0.363894 disposable waste 0.36824 ambulance maintenance depot 0.529978 Ambulance service providers 0.440652 face shield 0.360444	CLICK HERE
12311	Centers for Disease Control and Prevention	Html	en	CDC: Flu Activity Expands; Severity Similar to Past H3N2Seasons	CDC recommends vaccination and rapid treatment with antiviral drugs for people at high risk from flu	epidemic threshold 0.305374 CDC 0.380691 overall flu-related hospitalizations 0.312748 ILI 0.338302 similar ILI trajectory 0.32959 flu activity 0.551855 flu vaccines 0.55242 highest ILI curve 0.326783 season 0.789545 flu hospitalization rates 0.541865 flu vaccination 0.429115 2012-2013 flu season 0.501427 influenza-like illness rises 0.310348 Final vaccine uptake 0.33191 predominant flu viruses 0.547957 Flu Vaccine Finder 0.503336 flu spreads 0.417755 flu illness 0.482441 H3N2 viruses 0.346682 flu antiviral drugs 0.709951 flu pediatric deaths 0.515097 overall hospitalization rate 0.318739 past H3N2-predominant seasons 0.325781 current season 0.377881	different flu seasons 0.465666 vaccine effectiveness 0.374148 ILI activity 0.316512 flu-associated pediatric deaths 0.39948 high risk 0.463244 2012-2013 season 0.364037 Influenza antiviral drugs 0.340296 influenza 0.371832 United States 0.319781 flu vaccine 0.588211 flu complications 0.503033 pediatric flu deaths 0.601282 previous flu seasons 0.474662 past severe seasons 0.310467 vaccine viruses 0.324986 latest CDC FluView 0.343534 certain health conditions 0.312847 total number 0.360101 flu seasons 0.507034 seasonal flu vaccine 0.50208 end-of-season hospitalization rate 0.321644 flu viruses 0.586184 people 0.508774 flu 0.950755	CLICK HERE
13563	Centers for Disease Control and Prevention	Video	en	BRCA Genes and Breast Cancer	Genetic counselor Joyce Turner, MSC, CGC, provides an overview of BRCA genes and their relationship to breast and ovarian cancer. She explains how each of us inherits BRCA genes from our parents, the role of those genes and what happens if we inherit a gene mutation. She also talks about how genetic counseling and testing can give a woman information she can use to make decisions about her health. 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/cancer/videos/breast/BringYourBrave/Genetic_Counselor/BRCAGenesBreastCancer/BRCAGenesBreastCancer_lowRes.mp4	BRCA Genes 0.903321	Breast Cancer 0.797483	CLICK HERE
14229	Centers for Disease Control and Prevention	Html	en	About Zika Virus Disease	Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention.	mosquitoes 0.412794 infected Aedes species 0.987517 mosquito-borne Zika virus 0.829583 Ae. albopictus 0.69019 night 0.343119 pregnancy 0.338852 continental United States 0.763762	Infection 0.371784 vaccine 0.379364 transmission 0.357437 bite 0.474781 pregnant woman 0.606711 certain birth defects 0.833005	CLICK HERE
15915	Centers for Disease Control and Prevention	Html	en	FluVaxView: Influenza Vaccination Trends	FluVaxView vaccination trends - CDC	Early Vaccination Coverage 0.407405 Mortality Weekly Report 0.346389 particular influenza season 0.299609 Population Early Season 0.46345 Microsoft Word file 0.262435 Vaccination Trends 0.472617 Dashboard 0.459886 Women Vaccination Coverage 0.479815 Season Vaccination Coverage 0.694339 General Population Coverage 0.435001 Key Findings 0.362043 General Population 0.848397 2011-12 Report 0.283216 Live Birth Data 0.263736 Population Vaccination Coverage 0.646984 Trend Report 0.345939 page options Skip 0.2747 Influenza Vaccination Reports 0.396921 different file formats 0.262633 Pregnant Women Vaccination 0.477351 Vaccination Coverage 0.99141 Season General Population 0.554377 General Population Vaccination 0.652226 (Flu) 0.287701 Influenza Types 0.289751	Influenza Seasons 0.274477 Seasonal Influenza Vaccination 0.420139 2012-13 Report 0.283438 United States 0.305085 email address 0.312254 Early Season Vaccination 0.636855 2016-17 Trend Report 0.337887 Search Form Controls 0.335025 file 0.265841 Health Care Personnel 0.591228 2016-17 Key Findings 0.269191 2016-17 Report 0.284639 NIS-Flu Influenza Data 0.432475 Local Areas 0.326479 General Population Place 0.439877 General Population NHIS 0.433514 Seasonal Flu 0.273456 Report 0.440727 Search Controls 0.272569 Mid-Season Flu Vaccination 0.429319 2013-14 Report 0.302894 Influenza Vaccination Coverage 0.455258 Young Children 0.262117 Email Updates 0.263256	CLICK HERE
16386	Centers for Disease Control and Prevention	Html	en	Use of a 2-Dose Schedule for Human PapillomavirusVaccination - Updated Recommendations of the Advisory Committee onImmunization Practices | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	hpv vaccine 0.971464 HPV vaccine efficacy 0.621142 immunization practices 0.53085 HPV Vaccine Study 0.584759 ACIP meetings 0.480138 Human papillomavirus vaccination 0.502846 HPV-16/18 AS04-adjuvanted vaccine 0.485183 special populations 0.505477 advisory committee 0.529965 15th birthday 0.505699 HPV vaccination recommendations 0.670217 additional vaccination 0.483161 3-dose series 0.550057 clinical trial 0.476603 Vaccine Adverse Event 0.489667 ACIP HPV Vaccines 0.624244 3-dose schedule 0.524091 medical conditions 0.504143 HPV vaccination series 0.625511 HPV infections 0.572823 human papillomavirus vaccine 0.490247 HPV vaccination† 0.540851 9-valent HPV vaccine 0.588396 HPV exposure 0.525234 vaccination schedule 0.499328	doses 0.689297 HPV vaccination 0.833932 United States 0.506347 Vaccines Work Group 0.496784 ACIP HPV vaccination 0.701686 routine HPV vaccination 0.755294 CVT Vaccine Group 0.491467 quadrivalent HPV vaccine 0.583565 vaccine dose 0.485675 GRADE evidence type 0.491553 9-valent human papillomavirus 0.485888 9-valent HPV vaccines 0.581999 vaccine-preventable HPV types 0.561704 2-dose series 0.533562 voting ACIP members 0.500358 CDC vaccine recommendations 0.503898 2-dose schedule 0.612163 hpv vaccines 0.643465 HPV infection 0.56278 ACIP meeting 0.479912 Routine vaccination 0.498442 Bivalent HPV vaccine 0.629493 et al 0.563042 3-dose HPV vaccine 0.603665	CLICK HERE