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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
715	Centers for Disease Control and Prevention	Html	en	Very High Blood Lead Levels Among Adults - United States,2002-2011	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.	exposure source 0.53095 Walter A. Alarcon 0.467563 safe work practices 0.471914 additional exposure information 0.459236 lead exposure prevention 0.498702 high BLLs 0.995505 Adult Blood Lead 0.533304 Worker B. Worker 0.432438 lead-exposed adults 0.427861 ABLES program coordinators 0.428636 elevated blood lead 0.555778 nonoccupationally exposed adults 0.432452 ТЕg/dL 0.650711 lower lead exposures 0.474141 state ABLES programs 0.50942 adult BLL data 0.584161 elevated BLLs 0.519705 OSHA lead standards 0.761047 high BLL 0.648109 Worker A. Worker 0.434919 current OSHA lead 0.539369 BLLs т‰Ѕ10 ТЕg/dL 0.599454 work-related lead exposure 0.495094 adult lead exposure 0.500819 occupational health clinic 0.43488	recent BLL 0.521425 reference BLL 0.58173 CDC reference level 0.488794 lead exposure 0.913218 BLL testing 0.623528 nonoccupational lead exposures 0.466661 United States 0.568044 Blood Lead Epidemiology 0.527475 adults 0.588945 lead exposure registry 0.492965 lead exposure hazards 0.497957 Occupational Safety 0.449085 adverse health effects 0.561174 Worker C. Worker 0.430732 lead exposures 0.551463 public health 0.487545 harmful BLLs 0.433928 CDC reference BLL 0.5622 Health Administration 0.422074 U.S. national BLL 0.598256 occupational exposures 0.424441 BLLs т‰Ѕ60 ТЕg/dL 0.546862 ABLES programs fosters 0.42895 occupational lead exposure 0.596203	CLICK HERE
6344	Centers for Disease Control and Prevention	Html	en	Trends in selected chronic conditions and behavioral risk factors among women of reproductive age, Behavioral Risk Factor Surveillance System, 2001-2009.	null	chronic diabetes 0.337349 reproductive outcomes 0.219318 chronic disease risk 0.267156 high cholesterol 0.359993 heart disease 0.201348 smoking 0.249054 adverse reproductive outcomes 0.208765 2001 to 2009 Behavioral Risk Factor Surveillance System 0.282557 unadjusted prevalence estimate 0.233434 obesity 0.241782 estimates 0.216661 risk factors 0.865494 current physical inactivity 0.312586 modifiable risk factors 0.318949 chronic condition 0.284912 chronic high blood 0.518252 reproductive health outcomes 0.28175 body mass index 0.246913	potentially modifiable risk 0.23177 adverse birth outcomes 0.203079 reproductive age 0.924807 chronic disease trends 0.261346 health care coverage 0.484524 overall chronic disease 0.274056 reproductive health 0.330034 risk factor 0.3254 chronic conditions 0.736757 physical activity 0.262403 heavy drinking 0.487058 adverse reproductive health 0.252407 high blood pressure 0.998863 chronic disease 0.606795 chronic disease prevention 0.303913 physical inactivity 0.541797 common risk factors 0.222851	CLICK HERE
6989	Centers for Disease Control and Prevention	Html	en	Global Health - Zimbabwe	Resources and links for travelers to Zimbabwe.	Harare Hospital OI 0.696901 Dr. G. Gwinji 0.651165 endorsement 0.27088 Ministry 0.236601 collaborations 0.261597 Technical Advisor 0.439598 MoHCW 0.263834 Liaison Officer 0.442137 National Infection Prevention 0.747708 Training 0.234975 Child Welfare 0.621699 Control Guidelines 0.449358 Content source 0.423142 President 0.23432 HHS 0.277614 Professor Val Robinson 0.645521 Notice 0.245168	technical assistance 0.468658 physical presence 0.47094 Infection Control Association 0.717007 CDC research 0.534903 Dr Bwakura 0.430964 Health 0.258374 staff 0.24093 right 0.235613 Zimbabwe Infection Prevention 0.774905 Gladys Dube 0.508073 CDC-Zimbabwe Country Director 0.902953 Clinic 0.235281 Brigadier General 0.492759 ICAZ 0.281628 non-federal site 0.475419 Dr. Peter Kilmarx 0.905261 Specialist Physician 0.430467	CLICK HERE
9171	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Using Empirical Bayes Methods to Rank Counties on Population Health Measures - CDC	The University of Wisconsin Population Health Institute has published The County Health Rankings since 2010. These rankings use population-based data to highlight variation in health and encourage health assessment for all US counties. However, the uncertainty of estimates remains a limitation.	health outcome measure 0.637796 data 0.710833 credible intervals 0.554961 county health rankings 0.759191 National Health Interview 0.547659 health outcomes 0.982422 Self-reported health data 0.599766 national data sources 0.551852 Disease Control 0.569667 national rank performance 0.546734 Wisconsin Population Health 0.62515 composite health outcome 0.583252 empirical bayes estimates 0.586679 health outcome measures 0.744453 hierarchical models 0.688136 single health outcome 0.546276 encourage health assessment 0.566467 data sources 0.558258 poor mental health 0.61285 health outcome data 0.606071 Health Statistics 0.543707 posterior mean ranks 0.557241 low birth-weight births 0.551305 community health 0.584469 extensive demographic covariates 0.546253	premature mortality 0.655622 demographic covariates 0.826063 counties 0.64912 precise county health 0.590132 Population Health Institute 0.62945 random effects 0.637341 in-state county ranks 0.558604 county-level demographic covariates 0.567804 posterior samples 0.77607 Popul Health Metr 0.599745 public health 0.57569 health care 0.543655 rank certainty 0.551186 county health performance 0.580666 county-level random effects 0.561561 health 0.986367 local health officials 0.634704 community health assessment 0.57318 posterior health outcomes 0.625921 rank precision 0.616022 posterior rank estimates 0.613133 confidence intervals 0.591522 health factors 0.566527 county rank estimates 0.632423	CLICK HERE
9487	Centers for Disease Control and Prevention	Html	en	Outbreak of Shiga Toxin–Producing Escherichia coli O111Infections Associated with a Correctional Facility Dairy —Colorado, 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.	fecally contaminated items 0.546322 correctional settings 0.54664 effective infection control 0.551669 transmission pathways 0.546063 diarrheal illness 0.575413 Escherichia coli O111 0.553056 correctional facility health 0.591651 hygiene practices 0.548616 correctional facilities 0.637494 state-run correctional facilities 0.575773 STEC O111 infection 0.768791 main correctional facility 0.587004 Colorado correctional facilities 0.575793 laboratory-confirmed STEC O111 0.7768 STEC exposure 0.613467 non-O157 STEC infections 0.628244 public health officials 0.5712 Illness onset dates 0.570455 animal-to-human STEC O111 0.65207 contaminated dairy clothing 0.563081 Plains Intermountain Center 0.597303 Agricultural Research Service 0.561489 infection control 0.600775 main facility 0.562676 public health recommendations 0.545309	STEC O111 infections 0.645863 Agricultural Health 0.558501 STEC infection 0.672384 correctional facility dairy 0.613573 inmates 0.612302 onsite dairy 0.57852 additional inmates 0.558376 STEC O157 infections 0.628214 minimum-security correctional facility 0.58682 public health 0.636682 infection control practices 0.569052 STEC O111 test 0.653839 STEC O111 transmission 0.71612 Research Service Laboratory 0.561486 standard food-service protocols 0.560526 dairy environmental surfaces 0.549561 correctional authorities 0.565199 High Plains Intermountain 0.598148 correctional facility environment 0.57653 correctional facility 0.820639 STEC O111 outbreaks 0.639352 prevalence study 0.570947 public health laboratory 0.55058 STEC O111 0.974898	CLICK HERE
9712	Centers for Disease Control and Prevention	Html	es	La historia de Michael - Historias de la vida real - Consejos de exfumadores	La historia de Miguel, un ex fumador con EPOC, es parte de la campaña Consejos de exfumadores de los CDC.	recuerda michael 0.647187 Archivo Apple Quicktime 0.728623 Archivo RealPlayer 0.627702 Archivo Zip Comprimido 0.722406 Archivo Microsoft PowerPoint 0.750584	Archivo Microsoft Excel 0.735842 Archivo Adobe PDF 0.717491 tribu tlingit 0.602961 Archivo Microsoft 0.930019 Archivo Microsoft Word 0.745659	CLICK HERE
10744	Centers for Disease Control and Prevention	Html	en	Report shows 20-year US immunization program spares millions of children from diseases | Press Release | CDC Online Newsroom | CDC	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	direct response 0.38355 right thing 0.346459 Visit Healthcare.govor 0.349643 total societal costs 0.48552 vaccination status 0.377404 Current outbreaks 0.387216 direct imports 0.361186 CDC Director Tom 0.583967 enormous benefits 0.357856 health care quality 0.495 Affordable Care Act 0.484642 plane ride 0.358985 measles resurgence 0.649887 control health care 0.495357 CDC officials 0.460249 direct costs 0.351411 United States 0.732563 vaccines 0.400089 U.S. borders 0.363399 VFC era 0.358073 U.S. serve 0.377613 measles cases 0.619352 National Infant Immunization 0.532611 health security 0.4536	significant risk 0.365672 different strategies 0.354198 measles vaccine 0.667405 annual cases 0.375649 highest number 0.368151 20th anniversary 0.363344 eligible children 0.367034 health care 0.646288 international travel 0.360869 unvaccinated people 0.370484 health care coverage 0.490406 highly contagious disease 0.492916 people 0.409326 U.S. immunization program 0.842188 health care law 0.495968 VFC program 0.831111 vaccine coverage 0.37179 Program Era 0.399837 costly way 0.352704 importance immunization 0.399471 important preventive services 0.481429 Dr. Frieden 0.371825 measles 0.953179 MMR vaccine 0.399601	CLICK HERE
11681	Centers for Disease Control and Prevention	Html	en	HAN Archive - 00371 - Evaluating Patients for Possible Ebola Virus Disease: Recommendations for Healthcare Personnel and Health Officials	Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC).	Human Services 0.312345 Ebola infection 0.616396 health officials 0.326933 additional symptoms 0.311394 Ebola symptoms 0.617567 Texas Health Presbyterian 0.42527 muscle pain 0.363083 exposure risk levels 0.364973 urgent care centers 0.390752 potentially infected corpses 0.375131 direct contact 0.386662 probable cases 0.382449 following guidance documents 0.358686 additional information 0.382742 Texas Laboratory Response 0.41028 personal protective equipment 0.365439 diagnostic testing 0.364287 ebola virus disease 0.860399 body fluids 0.48772 Emergency Operations Center 0.367578 primary care physicians 0.39244 infection control specialists 0.418296 illness onset 0.404336 Ebola 0.972712 intensive care physicians 0.387694	elevated body temperature 0.378885 healthcare personnel 0.594718 CDC Health Alert 0.493819 Ebola algorithm 0.563951 United States 0.63654 unexplained hemorrhage 0.382756 infection control 0.563091 Sierra Leone 0.507999 local health department 0.537802 enhances health decisions 0.385956 abdominal pain 0.463433 critical health issues 0.390966 severe headache 0.47018 travel history 0.389129 local/state health department 0.416302 largest Ebola epidemic 0.678908 Dallas County Health 0.440055 private bathroom 0.386307 Infection control personnel 0.404207 medical care 0.310857 Liberia 0.334271 Ebola patient 0.569224 infectious disease specialists 0.391275 U.S. health departments 0.385992	CLICK HERE
14454	Centers for Disease Control and Prevention	Html	en	Who Would Pay for State Alcohol Tax Increases in the United States?	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 alcohol consumption 0.30075 alcohol tax increase 0.296011 binge drinkers 0.229577 net cost 0.29351 binge drinking 0.365435 hypothetical tax increases 0.333861 tax increases 0.788391 alcohol prices 0.237541 hypothetical tax increase 0.31302 Alcohol Abuse 0.225825 higher alcohol taxes 0.283553 alcohol taxes 0.45171 alcohol 0.791816 aggregate costs 0.290183 adult excessive drinkers 0.290387 state alcohol tax 0.464782 BRFSS core alcohol 0.230523 heavy drinker 0.254124 daily average 0.255015 alcohol tax increases 0.746898 state alcohol taxes 0.34449 sociodemographic characteristics 0.234235 alcohol policy interventions 0.233863 capita costs 0.345711	State-specific tax increases 0.249169 United States 0.387976 drinks 0.467223 current alcohol taxes 0.253209 average annual increase 0.230942 non-Hispanic white drinkers 0.274355 alcohol consumption 0.607549 Average daily alcohol 0.264005 Alcohol Epidemiologic Data 0.232708 excessive drinkers 0.841684 Excessive alcohol consumption 0.347454 excessive drinking 0.243269 hypothetical state alcohol 0.373777 non-Hispanic whites 0.284088 public health 0.250963 nonexcessive drinkers 0.909314 costs 0.35543 Alcohol Policy Information 0.282279 value-based alcohol taxes 0.253549 annual alcohol consumption 0.244944 hypothetical alcohol tax 0.299364 evidence-based public health 0.239268 alcohol spectrum disorders 0.239775 current drinkers 0.239986	CLICK HERE
16331	Centers for Disease Control and Prevention	Html	en	County-Level Variation in Per Capita Spending for Multiple Chronic Conditions Among Fee-for-Service Medicare Beneficiaries, United States, 2014	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.	concurrent chronic conditions 0.437444 ischemic heart disease 0.39721 multiple chronic conditions 0.430693 Light blue areas 0.379481 Disease Control 0.400707 chronic disease management 0.417253 neighboring counties 0.388441 beneficiaries 0.657493 MCC6+ beneficiaries 0.652642 aggregate spending 0.538921 total Medicare payments 0.478115 Medicare payments 0.501589 standardized payments 0.379638 total Medicare spending 0.660128 prevalent chronic conditions 0.411123 chronic disease costs 0.444789 high spending levels 0.555782 Medicare Advantage 0.438149 chronic disease 0.528711 Medicare fee-for-service beneficiaries 0.618706 counties 0.487204 low spending levels 0.554266 chronic disease prevention 0.499441 disease prevention programs 0.409795 obstructive pulmonary disease 0.395215	Light red areas 0.379759 chronic kidney disease 0.434129 public health policy 0.375125 United States 0.490838 Chronic diseases 0.391554 geographic variation 0.389788 disease management efforts 0.395965 continental United States 0.444515 Medicaid Services 0.415505 nonsuppressed counties 0.393253 low spending 0.597842 chronic disease care 0.418096 capita Medicare spending 0.99747 Medicare beneficiaries 0.60707 Mean county spending 0.549365 local Moran 0.390853 shows geographic variation 0.382407 Dark blue areas 0.380043 largest geographic concentrations 0.377887 capita spending 0.66066 chronic conditions 0.597652 capita spending value 0.613385 high spending 0.651538 Dark red areas 0.380334	CLICK HERE