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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
967	Centers for Disease Control and Prevention	Html	en	Announcement: Brain Injury Awareness Month - March2014	March is Brain Injury Awareness Month. Through scientific research, programs, and education, CDC works to prevent traumatic brain injury (TBI) from all causes and ensure that persons with a TBI receive optimal care. Whether occurring from a fall in the home or on a playground, in sports, in a car crash, or by being struck by an object or another person, a TBI from any cause can disrupt the normal functions of the brain and can range in severity from a mild concussion to a severe, life-threatening injury.	TBI-related hospitalization 0.446721 emergency department visits 0.56796 Human Services 0.555232 U.S. Department 0.551279 MMWR HTML versions 0.543504 motor vehicle-related TBIs 0.647395 Brain Injury Awareness 0.60173 electronic PDF version 0.533079 size-appropriate car seats 0.550693 TBI 0.93733 rehabilitation services 0.441141 Additional information 0.438418 Contact GPO 0.455348 traumatic brain injury 0.598003 optimal care 0.460532 commercial sources 0.433917 older adult falls 0.547563 current prices 0.430504 regular exercise program 0.546251 original paper copy 0.538495 young adults 0.443978 higher rates 0.573521 at-risk populations 0.436343 United States 0.556806	U.S. Government Printing 0.54549 original MMWR paper 0.539287 age group 0.441805 car crash 0.452365 health-care delivery systems 0.558799 motor vehicle–related TBIs 0.650804 MMWR readers 0.439218 character translation 0.428011 primary prevention strategies 0.556632 normal functions 0.451903 fall-related TBIs 0.537115 life-threatening injury 0.459549 public health prevention 0.561713 format errors 0.427328 scientific research 0.459239 typeset documents 0.433911 trade names 0.433998 official text 0.42662 highest rates 0.572548 medical care 0.439137 non-CDC sites 0.432448 mild concussion 0.465559 older adults 0.443255 TBI receive 0.786006	CLICK HERE
1129	Centers for Disease Control and Prevention	Html	en	5 Surprising Facts About High Blood Pressure | CDC Features	What you don’t know about high blood pressure could hurt you. High blood pressure affects one in three Americans,1 yet many people with the condition don’t know they have it.	health insurance 0.320857 health care provider 0.336356 early delivery 0.319007 lower sodium food 0.337456 plain sight. 0.320047 health care team 0.335482 WISEWOMAN programs 0.322482 blood pressure numbers 0.359112 healthy lifestyle 0.332957 grocery stores 0.319411 women age 0.321003 chronic disease screenings 0.332454 WISEWOMAN program 0.32148 young adults 0.320477 Certain types 0.318823 higher rates 0.332338 women 0.323836 Sodium Reduction 0.320979 normal blood pressure 0.356912 United States 0.322489 direct result 0.320371 blood pressure.1Most people 0.349346 lower your risk 0.3216 lower blood pressure 0.356479 African American men 0.334651	sodium Americans 0.320781 heart disease 0.3816 uncontrolled blood pressure 0.36323 higher blood pressure 0.356591 Recent studies 0.321721 health care 0.356163 National Institute 0.320845 younger people 0.339669 higher risk 0.334854 undiagnosed high blood 0.353087 uncontrolled high blood 0.417895 U.S. adults 0.319128 CDC currently funds 0.33531 stroke 0.34506 physical activity 0.319052 Neurological Disorders 0.32071 health care practitioners 0.333215 public health efforts 0.334429 high blood pressure 0.988307 silent killer. 0.319846 older adults 0.319916 risk 0.343928 low birth weight 0.335108 tribal organizations 0.319206	CLICK HERE
4913	Centers for Disease Control and Prevention	Html	en	C diff - Questions and Answers - HAI	null	additional toxin 0.270918 Clostridium difficile infection 0.910113 alcohol-based hand rubs 0.261047 toxin production 0.280835 historical gold standard 0.262542 toxin detection 0.278874 two-step testing algorithms 0.264919 patient-care areas 0.266535 Clostridium difficile 0.921041 early experimental data 0.259941 C. difficile infections 0.425017 environmental surface disinfection 0.306914 infection control experts 0.286389 detects toxin 0.308842 current epidemic strain 0.264464 severe disease 0.262832 Environmental Protection Agency 0.261235 Clostridium difficile testing 0.540952 slow turn-around time 0.262268 Clostridium difficile colitis 0.510471 Clostridium difficile-infected patients 0.376835 toxin-producing Clostridium 0.346628 infection control 0.304293 Clostridium difficile  transmission 0.591125 Clostridium difficile spores 0.715892	toxin B. 0.287492 proton pump inhibitors 0.261389 Environmental Infection Control 0.290866 C. difficile infection 0.533391 Clostridium difficile  antigen 0.558876 clinical symptoms 0.30127 exhibits clinical symptoms 0.270164 Clostridium difficile  strains 0.563558 toxin degrades 0.278343 C. difficile spores 0.443649 clinical significant disease 0.271864 infection control practices 0.289294 Gram-positive anaerobic bacillus 0.269517 patient tests 0.265329 electronic rectal thermometers 0.259892 appropriate culture environment 0.267793 C. diff infection 0.379518 tissue culture cytotoxicity 0.327683 binary toxin 0.268661 EPA-registered hospital disinfectants 0.265543 toxigenic culture 0.318039 Clostridium difficile organism 0.664515 Clostridium difficile toxin 0.592005 FDA-approved PCR assays 0.271418	CLICK HERE
5632	Centers for Disease Control and Prevention	Html	en	Indene - 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
9910	Centers for Disease Control and Prevention	Html	en	MMWR News Synopsis: December 19, 2013 | CDC Media Relations | CDC	CDC Media Relations - MMWR News Synopsis: December 19, 2013	Influenza activity 0.628987 general public 0.631024 trivalent influenza vaccine 0.692083 overall sodium consumption 0.698694 influenza vaccine viruses 0.76647 preschool children 0.56867 influenza-positive respiratory specimens 0.615769 sodium reduction 0.61792 Northern Hemisphere 0.613463 influenza activity. 0.629304 quadrivalent influenza vaccine 0.691258 Excess sodium 0.622736 food poisoning 0.5726 similarly rare pathogens 0.630671 MMWR articles 0.578847 staphylococcal intoxication 0.575231 new CDC study 0.673941 food handling practice 0.632367 better food safety 0.630005 often-identified pathogen 0.566687 American diet 0.571931 raw fenugreek sprouts. 0.624644 older children 0.568294 CDC Media Relations 0.944545 in-depth look 0.568797	sodium intake 0.62022 United States 0.76096 major contributor 0.571587 restaurant foods 0.570316 major public health 0.637682 S. aureus 0.569429 heart disease 0.570914 public health outbreak 0.657262 influenza B viruses 0.645692 novel pathogens 0.56836 STEC O104 0.580562 public health 0.693925 food workers 0.631151 months.  Health-care providers 0.617752 High-quality public health 0.630056 hemolytic uremic syndrome. 0.625957 influenza vaccination 0.62872 systematic disease surveillance 0.615002 large outbreak 0.587941 influenza season 0.628219 STEC O157 0.581317 moderate reductions 0.571291 military lunch party 0.624164 salt.  Researchers 0.57182	CLICK HERE
10747	Centers for Disease Control and Prevention	Html	en	Notifiable Diseases and Mortality Tables	Table I   Summary of provisional cases of selected notifiable diseases, United States, cumulative, week ending April 19, 2014 (16th Week).	different event codes 0.547292 H. influenzae 0.452474 CDC 0.414706 California serogroup 0.558189 age group 0.38785 novel influenza 0.705691 invasive pneumococcal disease 0.894085 eastern equine 0.380201 measles cases 0.489698 ** Data 0.425283 western equine diseases 0.534158 case notifications 0.390718 susceptible cases 0.445564 probable cases 0.462779 Rocky Mountain 0.373684 rickettsia infections 0.426889 ArboNET Surveillance 0.379884 Zoonotic 0.241112 rubella cases 0.458907 Spotted fever rickettsioses 0.612644 St. Louis 0.38311 E. coli 0.385462 influenza A virus 0.551392 virus infections 0.444047	National Center 0.57629 Immunization 0.2388 cases 0.712757 pneumoniae invasive disease 0.606757 Table 0.294388 Total case counts 0.563441 Spotted fever group 0.610502 serogroup non-O157 0.558098 serotypes 0.23777 Shiga 0.291798 similar clinical presentation 0.532957 Vector-Borne Infectious Diseases 0.573738 meningococcal disease 0.401515 Cumulative total E. 0.56246 condition 0.257999 Influenza Division 0.514605 Streptococcus 0.243284 unknown serogroup 0.558867 Respiratory Diseases 0.402775 Powassan 0.245859 ages 0.237802 Enteric Diseases 0.398445 Includes drug resistant 0.553488	CLICK HERE
11943	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Improving Blood Pressure Control in a Large Multiethnic California Population Through Changes in Health Care Delivery, 2004"2012 - CDC	The Kaiser Permanente Southern California (Kaiser) health care system succeeded in improving hypertension control in a multiethnic population by adopting a series of changes in health care delivery. Data from the Healthcare Effectiveness Data and Information Set (HEDIS) was used to assess blood pressure control from 2004 through 2012. Hypertension control increased overall from 54% to 86% during that period, and 80% or more in every subgroup, regardless of race/ethnicity, preferred language, or type of health insurance plan. Health care delivery changes improved hypertension control across a large multiethnic population, which indicates that health care systems can achieve a clinical target goal of 70% for hypertension control in their populations.	major risk factor 0.449216 usual blood pressure 0.45997 Kaiser health plan 0.48792 Permanente Southern California 0.544839 hypertension registry 0.490619 Human Services 0.449794 clinical target goal 0.449098 Kaiser Permanente Southern 0.524868 Kaiser patient population 0.485817 care delivery changes 0.68221 health care delivery 0.989232 blood pressure measure 0.472046 Disease Control 0.491539 health care plans 0.481291 simple drug treatment 0.448577 HEDIS CBP measurement 0.484638 fully integrated health 0.460635 HEDIS measure 0.446867 blood pressure 0.797611 large multiethnic population 0.504478 hypertension control 0.823084 preferred language 0.450973 blood pressure control 0.664533 similar CBP measurements 0.465106	health care settings 0.485903 multiethnic population 0.5118 overall Kaiser membership 0.470105 HEDIS data 0.445421 heart attacks 0.448131 United States 0.47463 specific health care 0.48182 hearts–where population health 0.469253 non-Hispanic black patients 0.464144 hypertension population registry 0.534609 HEDIS CBP measure 0.488048 Hearts population goal 0.454225 CBP measurement 0.484944 specific delivery changes 0.461817 blood pressure monitoring 0.469292 health care systems 0.488869 large integrated health 0.468048 health insurance plan 0.507731 Healthcare Effectiveness Data 0.494807 Controlling High Blood 0.457179 Kaiser population 0.461654 Kaiser’s population 0.46537 commercial health insurance 0.501383 high blood pressure 0.558416	CLICK HERE
12057	Centers for Disease Control and Prevention	Html	en	Ebola Epidemic - Liberia, March-October 2014	Please note: An erratum has been published for this article. To view the erratum, please click here.	rapid response 0.656311 large number 0.665397 James Dorbor Falla 0.615318 critically ill patients 0.619237 2World Health Organization 0.620416 national health care 0.649208 MMWR Early Release 0.620714 situation report data 0.618634 unique identifier 0.614111 laboratory results 0.611777 consecutive negative Ebola 0.734902 positive RT-PCR result 0.61658 World Health Organization 0.708176 contact tracing 0.661023 Liberian Ministry 0.621809 longest Ebola epidemic 0.790603 community engagement 0.646423 safe burial teams 0.800406 health care facilities 0.6491 Bong County ETU 0.63315 Ebola patients 0.811283 Ebola 0.929238 social mobilization 0.644073 Ebola virus disease 0.755785 Ebola laboratory test 0.764023	Frank Mahoney 0.613136 Ebola virus infection 0.728604 endemic Ebola transmission 0.718508 infection control 0.657945 suspected Ebola patients 0.772842 Ebola cases 0.723706 Montserrado County outbreak 0.658277 ETU admission records 0.617832 Ebola case 0.697081 case counts 0.643624 health care workers 0.858179 densely populated Montserrado 0.615939 Liberia counties 0.657877 health care 0.88648 negative RT-PCR test 0.61517 multiple outbreaks 0.613842 Lofa County 0.626591 Montserrado County 0.769001 Liberia 0.775733 Ebola treatment units 0.742774 MOHSW field teams 0.619132 West Africa 0.624864 rapid response teams 0.638297 negative RT-PCR results 0.616895	CLICK HERE
12748	Centers for Disease Control and Prevention	Html	en	CDC Telebriefing: New Vital Signs Report - Secondhand smoke exposure kills	CDC is releasing the first national estimates of doctor visits and healthcare costs associated with keratitis	media availability 0.807264 half 0.503494 Non-Media 0.577019 Tom Frieden 0.947676 M.D. 0.486713 briefing 0.507735 blacks 0.5242 Noon ET 0.914315 transcript 0.599629 children 0.493107 PASSCODE 0.563604 M.P.H 0.5486 Tuesday 0.496104 poverty 0.512061 secondhand smoke 0.965252	Important Instructions 0.874893 SHS 0.741088 dial 0.505908 CDC Media 0.878349 question 0.696431 Declines 0.552196 start 0.486382 touchtone phone 0.896021 people 0.494832 exposure 0.803199 nonsmokers 0.559478 time 0.483088 press conference 0.81309 rental housing 0.906711	CLICK HERE
13687	Centers for Disease Control and Prevention	Html	en	Health Status of Older US Workers and Nonworkers, National Health Interview Survey, 1997-2011	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.	high school 0.449723 better health outcomes 0.501449 blue collar workers 0.480881 stronger healthy worker 0.380462 blue collar 0.523899 multimorbidity 0.408801 fair/poor self-rated health 0.381196 functional limitations 0.922588 National Health Interview 0.428524 alcohol consumption 0.478658 complementary health status 0.382654 high school education 0.432969 white collar 0.555952 poor health 0.481872 physically demanding occupations 0.382811 health outcomes 0.541341 major health status 0.39815 poor/fair self-rated health 0.380314 functional limitations measures 0.389704 self-rated health 0.444201 poorer health outcomes 0.407113 marital status 0.397874 Miami Miller School 0.418392 previous studies 0.406772	Activities Limitation Index 0.390059 non-Hispanic whites 0.398108 health behaviors 0.419395 white collar workers 0.525564 health care resources 0.40821 multiple functional limitations 0.751384 poor health outcomes 0.45994 multivariable logistic regression 0.383558 health 0.775259 Health Interview Survey 0.428523 Public Health Sciences 0.418654 white collar occupations 0.415293 fair/poor health 0.502597 chronic conditions 0.389077 health status variables 0.383222 lowest HALex quintile 0.520673 multiple health outcomes 0.401715 health status 0.610972 older workers 0.404008 poor health behaviors 0.380874 older adults 0.66017 health status measures 0.594216 various health 0.380341	CLICK HERE