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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
5262	Centers for Disease Control and Prevention	Html	null	Health Literacy - Introduction	Provides an overview of the web site purpose and content			CLICK HERE
5691	Centers for Disease Control and Prevention	Html	en	Drowning Risks in Natural Water Settings | CDC Features	Drowning is the second leading cause of unintentional injury death for children ages 1 to 14 years, and the fifth leading cause for people of all ages. Learn how to reduce your risk.	uneven lake 0.30559 rip current pulls 0.447369 Learn boating safety 0.449839 unexpected hazardous weather 0.384238 safety course 0.304437 young children 0.311729 formal swimming lessons 0.532712 life jacket.2 Operator 0.395285 water wings 0.338051 strongest swimmer 0.307257 rip currents 0.646907 unintentional injury death 0.422522 Drownings Fact Sheet 0.443694 age groups 0.325821 swimming pools 0.321762 natural water sites 0.438103 population groups 0.310387 highest risk 0.316388 safety tips 0.312783 Recreational Boating Statistics 0.434609 water skiing 0.335521 Coast Guard Office 0.376658 special precautions 0.301907 natural water settings 0.958342	United States 0.411876 similar risk 0.320021 recreational water drownings 0.542497 U.S. coastlines 0.310664 distracting activity 0.305799 surf beach lifeguards 0.41502 United States Coast 0.397557 Heed warning flags 0.374956 Web-based Injury Statistics 0.373704 boating incident 0.367448 States Lifesaving Association 0.389425 Coast Guard-approved life 0.39292 responsible adult 0.302758 substantially increased risk 0.419594 life jackets 0.466854 CPR skills 0.302097 personal flotation devices 0.378342 deeper water 0.351627 swimmers 0.322563 natural body 0.332893 Cardiopulmonary Resuscitation 0.306972 U.S. Coast Guard 0.498404 ages 0.328892 select swimming sites 0.397892	CLICK HERE
8803	Centers for Disease Control and Prevention	Html	en	Naegleria fowleri - Treatment	Information about the treatment of Naegleria fowleri. Education and information about the brain eating ameba Naegleria fowleri that causes encephalitis and death including frequently asked questions, biology, sources of infection, diagnosis, treatment, prevention and control, and other publications and pertinent information for the public and medical professionals.	experimental meningoencephalitis 0.575232 Antimicrob Agents Chemother. 0.580473 free-living ameba infections 0.63747 U.S. PAM survivor 0.620525 shipping instructions 0.55381 CDC Emergency Operations 0.793014 investigational breast cancer 0.591426 Medical Professionals 0.553525 da Silva AJ 0.577456 primary amoebic meningoencephalitis 0.626671 Clin Infect Dis 0.587728 fatal infections 0.552984 normal body temperature 0.663119 therapeutic agent miltefosine 0.594245 specimen collection guidance 0.593894 F. Successful treatment 0.591411 Naegleria fowleri infection 0.84376 Emergency Operations Center 0.781509 Clin Infect Dis. 0.587484 E. Successful treatment 0.589552 Visvesvara GS 0.752891 investigational drug miltefosine 0.611117 opportunistic free-living amoebae 0.616648 FEMS Immunol Med 0.584492 amoebic infection 0.563946	Acanthamoeba spp. 0.597088 Public Health 0.553544 primary amebic meningoencephalitis 0.800118 United States 0.638331 original U.S. survivor 0.68953 neurologic recovery 0.59402 CDC expert 0.610546 treatment recommendations 0.562438 Naegleria fowleri 0.949809 Schuster FL 0.58986 Arch Med Res. 0.580714 12-year-old girl 0.555729 therapeutic chemical agents 0.580973 Acanthamoeba infection 0.576344 mammalian cell cultures 0.575263 Clin Infect 0.593695 Naegleria PAM 0.641357 free-living amebae 0.583292 Successful treatment 0.617108 Balamuthia mandrillaris 0.584967 Naegleria survivor 0.652612 J. Successful treatment 0.59044 free-living amebas 0.574986 diagnostic assistance 0.553855	CLICK HERE
9250	Centers for Disease Control and Prevention	Html	es	Preventing Chronic Disease - CDC: Volume 10, 2013: 12_0349	Volumen 10 — el 08 de agosto de 2013.	Estados Unidos 0.812421		CLICK HERE
9964	Centers for Disease Control and Prevention	Html	en	Tom Chiller | Conversations with the Director | CDC Director | CDC	The CDC Director’s webpage offers information on Dr. Thomas Frieden, who became the agency’s 16th director in June 2009. The pages features information on Dr. Frieden’s Weekly Focus, the Latest from Dr. Frieden (his RSS feed), and links to his bio, statements, videos, press releases, media appearances, photos, presentations, and speeches.	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
9975	Centers for Disease Control and Prevention	Html	en	Healthy Places - Transportation and Health Resources - Selected Peer-Reviewed Articles	Healthy Places - Transportation and Health - Resources - Selected Peer-Reviewed Articles	Motor Vehicle Traffic 0.644336 Highway Traffic Safety 0.885819 environmental health 0.738218 Public Health Education 0.728456 Motor vehicle crash 0.769304 Public Health. 0.739622 praeger handbook 0.698222 Gotschi T. Costs 0.629721 World Health Organization 0.995174 Health Promot. 0.631746 National Highway Traffic 0.884417 health care costs 0.66728 public health objectives 0.783359 light rail transit 0.726064 Lock K. Cycling 0.634909 Naumann RB 0.650611 Sleet DA 0.680402 State Highway Safety 0.671133 road user type 0.629681 United States 0.750664 Environmental Public Health 0.708396 A. Physical activity 0.641458 road safety 0.658737 motor vehicle 0.78604 Frank L. Obesity 0.638669	Active Design Supplement 0.631903 National pedestrian crash 0.642718 vehicle crash deaths 0.64295 Traffic Safety Administration 0.887335 public health 0.909682 highway safety countermeasures 0.674126 Barringer J. Health 0.679528 vehicle crash injury 0.660969 Transport Policy Institute 0.636549 systematic review 0.639606 Santa Barbara 0.70775 Dannenberg AL 0.702961 Prev Med. 0.688354 physical activity 0.884805 vehicle traffic-related pedestrian 0.63602 public transport use—a 0.65823 Traffic Inj Prev 0.682875 URL http://apps.who.int/iris/bitstre am/10665/79753/1/9789241505352_eng.pdf 0.640114 Beck LF 0.822037 Phys Act Health. 0.776681 Health Matters 0.632705 A. Traffic Injury 0.638623 Community Preventive Services 0.629486 URL http://www.who.int/ violence_injury_prevention/road_safety_status/2013/en/index.html 0.641337	CLICK HERE
10665	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Cardiovascular Disease Risk Among the Mexican American Population in the Texas-Mexico Border Region, by Age and Length of Residence in United States - CDC	Although the relationship between health behaviors and outcomes such as smoking and obesity with longer residence in the United States among Mexican American immigrants is established, the relationship between length of residency in the United States and risk for cardiovascular disease (CVD) is not fully understood. The objective of this study was to determine the relationship between immigrant status, length of residence in the United States, age, and CVD markers in a sample of Mexican American adults living in Brownsville, Texas.	worse CVD risk 0.512246 higher prevalence 0.56979 young adult 0.542057 systolic blood pressure 0.546141 total cholesterol 0.491769 Texas–Mexico border region 0.569587 Texas Health Science 0.5072 US-born Mexican Americans 0.560923 high cholesterol 0.52689 diastolic blood pressure 0.546194 CVD risk 0.535153 CVD biological risk 0.51442 residence 0.558385 self-reported CVD events 0.522632 health behaviors 0.551964 blood pressure 0.667923 immigrant status 0.589396 Mexican Americans 0.671234 longer residence 0.505775 age groups 0.506981 CVD 0.608116 older age 0.547781 low socioeconomic status 0.49768 Mexican American adults 0.570923	study 0.525208 Public Health 0.493789 United States 0.958391 age group 0.542454 self-reported high blood 0.495629 low-density lipoprotein cholesterol 0.492743 CVD biomarker 0.547002 short-term immigrants 0.623084 Mexican American men 0.499542 risk factor profiles 0.49325 self-reported conditions 0.543832 CVD markers 0.541781 non-Hispanic whites 0.498778 long-term immigrants 0.591634 self-reported chronic conditions 0.554299 young adult group 0.497732 CVD biomarker profiles 0.508583 CVD biomarkers 0.569617 immigrant Mexican Americans 0.498605 Mexican American immigrants 0.666452 Hispanic immigrants 0.521818 Health Science Center 0.506396 high blood pressure 0.526092 socioeconomic status 0.576248	CLICK HERE
12718	Centers for Disease Control and Prevention	Video	en	The Story of Folic Acid Fortification	The video documents the compelling story of how Folic Acid fortification has become a staple in the lives of women of child-bearing age everywhere to protect their babies from developing major birth defects such as spina bifida and anencephaly that are either fatal or have serious, long-term consequences for the child. The documentary short chronicles how spina bifida F could be the next major health problem eradicated after smallpox and polio. 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/FolicAcid/	Folic Acid Fortification 0.933821	Story 0.299595	CLICK HERE
13832	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Primary Amebic MeningoencephalitisAssociated with Hot Spring Exposure During International Travel -Seminole County, Florida, July 2014	Please note: An erratum has been published for this article. To view the erratum, please click here.	real-time polymerase chain 0.503848 viral meningitis 0.413203 presumptive diagnosis 0.419324 free-living ameba infections 0.537788 N. fowleri 0.938584 resort hot springs 0.499921 Seminole County 0.510326 Health Protection 0.425896 water samples 0.424536 nasal mucosa 0.462305 devastating infection 0.41777 northern United States 0.499814 low grade fever 0.507823 nasal insufflation 0.440175 frontal lobes 0.429615 cerebral spinal fluid 0.49567 free-living ameba 0.546569 Swannie Jett 0.429359 Health care professionals 0.51689 CSF specimen 0.457579 olfactory nerves 0.423153 PAM infection 0.468204 illness onset 0.489955 high mortality rate 0.480594 nasal irrigation 0.450559	antiparasitic drug 0.41698 Tania Slade 0.421669 investigational drug 0.420461 United States 0.554602 primary amebic meningoencephalitis 0.53687 Tania A. Slade 0.556132 routine tests 0.416868 water slide 0.421419 Mirna Chamorro 0.413355 Costa Rica 0.503233 clinically compatible illness 0.487012 Dean Bodager MPA2 0.526704 ameba activity 0.416074 hot springs 0.510159 Naegleria fowleri 0.532384 Florida Department 0.878191 fresh water body 0.519245 nasal cavity 0.455821 fresh water bodies 0.542421 fresh water exposure 0.51186 motile ameba 0.549215 fresh water 0.696748 Benjamin G. Klekamp 0.495943 PAM 0.486881	CLICK HERE
15796	Centers for Disease Control and Prevention	Html	en	Chronic Disease Disparities by County Economic Status andMetropolitan Classification, Behavioral Risk Factor SurveillanceSystem, 2013	Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention.	capita market income 0.565374 data 0.400523 public health interventions 0.5137 health insurance 0.460099 prevalence ratio 0.410688 highest prevalence 0.395175 higher prevalence 0.506589 Risk Factor Surveillance 0.401198 health outcomes 0.531609 poorest counties 0.49673 self-rated health 0.47259 current cigarette smoking 0.389912 risk factors 0.606058 poor health outcomes 0.472404 gradient-related health outcomes 0.394436 health care services 0.466509 body mass index 0.504107 hypertension prevalence 0.401407 self-rated health status 0.402031 health status 0.411017 poor self-rated health 0.417392 respondents 0.396111 arthritis 0.48954 chronic disease 0.62651 counties 0.660112	Behavioral Risk Factor 0.401263 specific health outcomes 0.440605 poor counties 0.596564 prevalence ratios 0.389779 United States 0.49311 poor health 0.858458 social gradient 0.403684 prevalence 0.559048 health risk factors 0.39087 economic status 0.980003 county economic status 0.960531 multivariable logistic regression 0.454836 economic county group 0.403928 chronic diseases 0.438446 nonmetropolitan counties 0.466549 community-delivered public health 0.414354 metropolitan classification 0.511074 physical activity 0.529025 household income 0.394376 leisure-time physical activity 0.397864 contiguous United States 0.388824 affluent counties 0.519571 metropolitan counties 0.436635 chronic disease prevalence 0.464313	CLICK HERE