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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
1116	Centers for Disease Control and Prevention	Html	en	Clean Hands Count for Safe Healthcare | CDC Features	Clean hands can protect you from serious infections while you are a patient.	healthcare providers 0.977842 great way 0.346297 average 0.226878 CDC 0.226873 role 0.226014 half 0.224817 hospital patients 0.349887 Alcohol-based hand sanitizer 0.815437 hand hygiene recommendations 0.480411 healthcare provider adherence 0.470797 healthcare-associated infections 0.378021 number 0.225614 times 0.255363 Clean Hands Count 0.614353 C. difficile 0.462363 infections 0.430285 studies 0.227697 address myths 0.340156 healthcare facility 0.369458 antibiotic-resistant superbugs 0.354359 misperceptions 0.236648	people’s actions 0.359062 severe diarrhea 0.340086 patients 0.442389 patient care 0.317915 water 0.245951 patient contact 0.327562 spread 0.257363 intensity 0.22853 visitors 0.225574 preferred way 0.333378 dialysis centers 0.346215 bad germs 0.363867 hand hygiene 0.805233 healthcare settings 0.341429 campaign 0.2262 risk 0.25688 common healthcare-associated infection 0.448377 empower patients 0.345092 facilities 0.226453 12-hour shift 0.35395 nursing homes 0.344121	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
7332	Centers for Disease Control and Prevention	Html	en	MMWR News Synopsis: August 23, 2012	CDC Media Relations - MMWR News Synopsis: August 23, 2012	pregnant patients 0.47259 Heavy metal exposure 0.606221 routine prenatal visits 0.616555 New York City 0.626904 Heavy metal 0.609931 vaccination coverage 0.918979 National Center 0.455306 potential threat 0.440148 school 0.346189 health care providers 0.610913 varicella vaccine 0.470687 TB Prevention 0.461416 New York State 0.621609 percent coverage 0.515279 rubella vaccine 0.468064 target levels 0.461118 acellular pertussis 0.479251 Viral Hepatitis 0.466066 healthy people 0.696964 oral Ayurvedic medications 0.647779 lead poisoning 0.488146 tetanus toxoids 0.458518 HUMAN SERVICES 0.44489 lead exposure 0.49307 News Media Line 0.584187	unvaccinated children 0.45245 heavy metal exposures 0.599321 CDC Division 0.516956 products 0.351832 adverse health effects 0.617204 low vaccination coverage 0.675041 U.S. DEPARTMENT 0.445904 gram/deciliter.  Lead concentrations 0.634651 highlights vaccination coverage 0.697129 Public health professionals 0.610429 Ayurvedic medications 0.652802 Exemptions levels 0.478587 Electronic Media 0.479263 Median vaccination coverage 0.729289 extremely transmissible diseases 0.574357 year.  Statewide levels 0.598357 immunization schedule 0.451527 median coverage 0.5078 risk 0.352222 vaccine-preventable diseases 0.464791 best protection 0.447578 kindergarten children 0.460935 measles 0.417879 blood lead levels 0.649723	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
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
12949	Centers for Disease Control and Prevention	Html	en	Skin Cancer Prevention | CDC Features	Traveling for spring break? Don’t forget to pack, protect yourself from the sun!	skin cancer 0.933115 sunbathing 0.355957 pants 0.3395 SPF 0.419189 sun protection strategies 0.731055 Sailing 0.339246 minimal protection 0.511659 base tan 0.516726 sunglasses 0.394102 Southern Hemisphere 0.536213 midday 0.352071 shade 0.387898 sun protection 0.852741 insect repellent 0.684223 snow 0.380285 sun safety 0.559748 sun protective gear 0.715798 UVB rays 0.553408 simple strategies 0.532786 UVA 0.347186 United States 0.555165 wide brim 0.535767 trip damages 0.513774 December–March 0.340064	broad-spectrum sunscreen 0.914448 long-sleeved shirts 0.518301 sunburn 0.360602 water increases exposure 0.720019 summer 0.340096 Enjoy safe travels 0.699791 equator 0.35777 cases 0.341224 cabana 0.349249 outdoor activities 0.524602 protective clothing 0.504856 Pack sun protection 0.729031 health 0.34502 people 0.343983 cloudy 0.352307 ears 0.342773 Travelers spending time 0.752136 beach 0.341211 sun exposure 0.536605 water activities 0.516861 risk 0.389539 family 0.341021 safe fun 0.508005 sweating 0.349462	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