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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
1300	Centers for Disease Control and Prevention	Html	en	Assessment of Rabies Exposure Risk in a Group of U.S. AirForce Basic Trainees - Texas, January 2014	Bryant J. Webber, MD1, Karyn J. Ayers, MD, PhD2, Brad S.	risk assessments 0.551187 flight-based risk category 0.536239 Rabies Exposure Risk 0.758867 rabies transmission risk 0.674416 mass bat exposure 0.615451 Air Force trainees 0.711188 public health teams 0.73972 raccoon-variant rabies 0.582318 time trainees 0.596295 Joint Base San 0.59709 Military trainees 0.599768 Mexican free-tailed bats 0.65579 bat 0.671743 important risk factor 0.551548 indoor bat exposures 0.576314 commercial bat control 0.631256 Mexican free-tailed bat 0.579623 numerous bat sightings 0.561276 mass indoor exposure 0.536476 public health team 0.533371 index flight 0.643555 bat control specialist 0.631243 bat sightings 0.671017 group-based rabies risk 0.704784 older buildings 0.554942	civil engineering 0.552139 public health response 0.547162 Force Basic Trainees 0.707708 rabies PEP 0.821853 human rabies infections 0.682126 low risk 0.535726 rabies virus 0.653994 trainees 0.863805 preventive medicine 0.563181 multiple trainees 0.588954 human rabies 0.836073 U.S. Air Force 0.913013 rabies immune globulin 0.950478 Bryant J. Webber 0.591206 state health department 0.537641 previous mass bat 0.567704 new buildings 0.547545 public health 0.791828 undetected bat bite 0.569341 infected bat 0.548462 Force basic training 0.611468 basic military training 0.539232 Base San Antonio 0.596834 incoming trainees 0.58408	CLICK HERE
8693	Centers for Disease Control and Prevention	Html	es	Preventing Chronic Disease - CDC: Volume 10, 2013: 12_0292	Volumen 10 — el 25 de abril de 2013.	significativo uso 0.585231 altas hospitalarias 0.664026	Estados Unidos 0.982493 determinadas afecciones 0.724002	CLICK HERE
8770	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Survey of New York City Resident Physicians on Cause-of-Death Reporting, 2010 - CDC	Death certificates contain critical information for epidemiology, public health research, disease surveillance, and community health programs. In most teaching hospitals, resident physicians complete death certificates. The objective of this study was to examine the experiences and opinions of physician residents in New York City on the accuracy of the cause-of-death reporting system.	residency programs 0.245743 complete death certificates 0.271228 high-volume residents 0.227788 septic shock 0.218774 survey respondents 0.308742 emergency medicine 0.294416 death certificate errors 0.211364 internal medicine 0.301895 residency program 0.326065 medical examiner 0.354367 cause-of-death reporting 0.440899 York City Resident 0.274445 New York City 0.997099 respiratory distress syndrome 0.240192 correct cause 0.243498 alternate cause 0.268422 high-volume respondents 0.504335 general surgery respondents 0.261753 resident physicians 0.325834 internal medicine respondents 0.268594 resident respondents 0.251622 physicians complete death 0.223666	Death Certificate Accuracy 0.211862 Death certificate data 0.228902 death certificates 0.984505 public health 0.257914 acute respiratory distress 0.237721 physicians completing death 0.209332 fewer death certificates 0.225032 emergency medicine residents 0.212876 inaccurate cause 0.208438 City Resident Physicians 0.275474 true cause 0.207366 immediate cause 0.247877 respondents 0.571154 death certificate 0.741566 survey perceived death 0.208705 general surgery residency 0.2082 electronic death certificate 0.209959 electronic death reporting 0.213312 residents 0.413233 survey 0.338853 current cause-of-death 0.207791 death certificate completion 0.392559	CLICK HERE
9076	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Establishing Content Validity for the Nutrition Literacy Assessment Instrument - CDC	Identification of low levels of health literacy is important for effective communication between providers and clients. Assessment instruments for general health literacy are inadequate for use in nutrition education encounters because they do not identify nutrition literacy.	nutrition literacy instrument 0.567047 nutrition education encounters 0.488943 Adult Literacy 0.558167 food label 0.535343 section 0.522171 individual health literacy 0.538354 Literacy Assessment Instrument 0.689523 nutrition education 0.684593 nutrition knowledge 0.475277 inadequate nutrition literacy 0.579775 food label literacy 0.526124 nutrition education consultations 0.489301 Newest Vital Sign 0.599268 Nutrition Literacy Scale 0.573931 agreement 0.524608 adequate nutrition literacy. 0.480864 general health literacy 0.548126 nutrition literacy 0.982712 food labels 0.479484 subjective assessment 0.502183 health literacy 0.845182 registered dietitians 0.481785 dietetic practice groups 0.479282 survey 0.555638 Nutrition Education Clients 0.480111	household food measurement 0.556936 assessment instruments 0.479456 NLAI 0.684972 clients 0.480988 pilot study 0.608571 food groups 0.580106 content validity 0.526774 REALM 0.496596 marginal nutrition literacy 0.579307 dietitians 0.552832 nutrition education settings 0.481451 good agreement 0.517294 print literacy 0.498602 participants 0.60984 adequate agreement 0.490358 food 0.586703 online survey 0.513762 health literacy assessment 0.537122 Rapid Estimate 0.491513 health literacy instruments 0.518966 health literacy levels 0.519495 scheduled nutrition education 0.478379 survey participants 0.525887 Nutrition Literacy Assessment 0.699351	CLICK HERE
9210	Centers for Disease Control and Prevention	Html	en	Health Alert Network | Nationwide Voluntary Recall of All Products for Sterile Use from Compounding Pharmacy	Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC).	North Carolina 0.391208 exception 0.316004 international organizations 0.382095 Health Alert Network 0.625967 Texas hospitals 0.391527 firm 0.331316 Disease Control 0.382966 Specialty Compounding products 0.518569 MedWatch Adverse Event 0.458296 health care providers 0.611548 grams 0.317917 U.S. Food 0.394853 adverse reactions 0.457064 especially fever 0.380346 healthy living 0.379327 patients 0.463543 recent reports 0.393557 intact sample 0.387171 FDA website 0.420524 Texas Department 0.395751 Texas state officials 0.763254 PM ET 0.400872 Rhodococcus species 0.383543 (See http://www.fda.gov/Safety/Recalls/ucm364643.htm?source=govdelivery). 0.432314 CDC Health Alert 0.538062	FDA 0.441123 LLC 0.315881 Drug Administration 0.394793 Specialty Compounding 0.956252 State Health Services 0.472425 percent 0.315299 enhances health decisions 0.457787 critical health issues 0.459142 credible information 0.388884 bacterial bloodstream infections 0.651323 regular mail 0.380735 company 0.31574 Sodium Chloride 0.389686 Isolates 0.320037 sterile use products 0.411873 voluntary nationwide recall 0.472513 Rhodococcus equi 0.389752 calcium gluconate infusions 0.5299 Cedar Park 0.390715 Compounding show growth 0.43836 strong partnerships 0.377466 physician offices 0.38783 information 0.393361 CDCHAN-00353 0.318192	CLICK HERE
9296	Centers for Disease Control and Prevention	Html	es	CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0340	CDC - Wide Page example description goes here	cuáles proveedores 0.742642	Estados Unidos 0.916056	CLICK HERE
9752	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Technical Assistance From State Health Departments for Communities Engaged in Policy, Systems, and Environmental Change: The ACHIEVE Program - CDC	This study assessed the value of technical assistance provided by state health department expert advisors and by the staff of the National Association of Chronic Disease Directors (NACDD) to community groups that participated in the Action Communities for Health, Innovation, and Environmental Change (ACHIEVE) Program, a CDC-funded health promotion program.	action institutes 0.522721 local ACHIEVE 0.516126 environmental change strategies 0.518889 community assessment data 0.522881 ACHIEVE teams community 0.511312 community project coordinators 0.606889 ACHIEVE community project 0.525062 ACHIEVE resources 0.503335 state health departments 0.600591 department expert advisors 0.595281 community coalition members 0.556083 valuable technical assistance 0.50862 ACHIEVE community activity 0.515781 community 0.732044 Chronic Disease Directors 0.581668 additional ACHIEVE communities 0.513654 community health 0.519529 ACHIEVE local project 0.503647 CHART members 0.502738 support 0.50612 local ACHIEVE coaches 0.502844 health department expert 0.612693 ACHIEVE funding 0.507545 environmental change 0.621359 ACHIEVE activities 0.525975	Community health action 0.503427 ACHIEVE community initiatives 0.518902 ACHIEVE 0.686204 local ACHIEVE programs 0.506228 technical assistance 0.967652 state health department 0.842891 technical assistance events 0.572841 quantitative data 0.502789 expert advisors 0.985401 ACHIEVE community 0.576226 technical assistance conference 0.541497 ACHIEVE Program mission 0.505688 NACDD staff 0.675741 community action plans 0.549099 ACHIEVE communities 0.605281 ACHIEVE community coaches 0.535858 ACHIEVE community coordinators 0.521606 CHART 0.503664 National Association 0.518691 assessment data 0.7215 state expert advisors 0.659301 ACHIEVE lead organizations 0.529658 achieve program 0.552288 Action Communities 0.501291	CLICK HERE
11769	Centers for Disease Control and Prevention	Html	en	Michael J. Beach, PhD | CDC Spokesperson | CDC	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	Piercefield EW 0.644562 recreational swimming 0.643411 Stockman LJ 0.684509 James H. Nakano 0.681536 debilitating illness 0.644533 Epidemiol Infect 0.648443 Beach MJ 0.959826 Collier SA 0.727364 analgesic prescribing patterns 0.676608 Dr. Michael Beach 0.717681 Van Zile KW 0.680262 da Silva AJ 0.744852 primary amoebic meningoencephalitis 0.688593 waterborne illnesses 0.644554 Beach MJ. 0.664935 epidemiological review 0.643145 Fatal Naegleria fowleri 0.68133 chlorine dioxide tablets 0.67633 Clin Infect Dis. 0.752546 deadly thermophilic organism 0.667445 Environ Health. 0.666185 Visvesvara GS 0.806514 Hlavsa MC 0.682044 Wade TJ 0.678336 Environ Sci Technol. 0.699936	Acanthamoeba keratitis case 0.678409 tap water 0.649426 health impacts 0.643826 primary amebic meningoencephalitis 0.77357 Sams EA 0.644752 Hill VR 0.679683 Cryptosporidium oocysts 0.646583 disease-fighting arsenal 0.644439 recreational water quality 0.681399 Naegleria fowleri 0.688882 foremost expert 0.645542 prospective cohort study 0.676978 Linscott AJ 0.650691 household water sources 0.675658 Yoder JS 0.791127 health burden 0.645993 Environ Health J. 0.702835 clean drinking water 0.694079 Arrowood MJ 0.738508 Dufour AP 0.681832 Typhimurium drinking water 0.686349 acute otitis externa 0.676264 Trop Med Hyg 0.671834 Direct healthcare costs 0.669164	CLICK HERE
12240	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Sodium, Saturated Fat, andTrans Fat Content Per 1,000 Kilocalories: Temporal Trends inFast-Food Restaurants, United States, 2000-2013 - CDC	Intakes of sodium, saturated fat, and trans fat remain high despite recommendations to limit these nutrients for cardiometabolic risk reduction. A major contributor to intake of these nutrients is foods prepared outside the home, particularly from fast-food restaurants.	national fast-food chains 0.430727 sodium intake 0.306257 data 0.295723 United States 0.373785 individual menu items 0.292735 major contributor 0.318862 mean sodium intake 0.298092 companion article 0.308211 trans fatty acid 0.271013 ruminant fat 0.28877 large-sized French fries 0.420378 New York City 0.271502 Saturated fat content 0.395357 fast-food chain restaurants 0.34326 nutrient content 0.271583 sodium reduction 0.276178 simple linear regression 0.369974 trans fat ban 0.336168 US-based fast-food chain 0.292149 Nutrition Research Center 0.271283 temporal trends 0.285963 public health 0.304596 chain comparison 0.278281 sodium content 0.537188	14-year period 0.434567 menu items 0.487844 fast-food restaurants 0.375457 tabular version 0.274137 leaner ground beef 0.272901 Heart Association sodium 0.283206 grilled chicken sandwich 0.623592 portion size 0.377004 product formulation 0.311736 American Heart Association 0.280648 chain’s fries 0.270432 French fries 0.707859 USDA Human Nutrition 0.270486 popular menu items 0.418294 Human Nutrition Research 0.271286 large French fries 0.527698 cheeseburgers 0.321368 et al 0.30178 trans fat content 0.950114 linear regression models 0.367352 trans double bond 0.275201 Urine sodium excretion 0.286925 2010 Dietary Guidelines 0.289326	CLICK HERE
15987	Centers for Disease Control and Prevention	Html	en	What You Should Know for the 2014-2015 Influenza Season	Basic information about the 2014-2015 flu season - CDC	influenza 0.969757 2015-16 Influenza Vaccine 0.556693 CDC 0.52226 United States 0.636976 Spray Flu Vaccine 0.437691 novel influenza 0.412603 influenza information 0.451518 2014-2015 flu season 0.458982 flu vaccine 0.600654 flu activity 0.401515 seasonal flu vaccines 0.402926 influenza disease 0.416103 quadrivalent flu vaccine 0.436281 flu vaccines 0.419871 Variant Influenza Viruses 0.510238 CDC Influenza site 0.474141 influenza virus infection 0.453049 Swine flu viruses 0.449623 influenza vaccine manufacturers 0.500425 nasal-spray flu vaccine 0.433232 influenza B viruses 0.554548 main flu viruses 0.43548 influenza B activity 0.42049 seasonal influenza vaccine 0.703246	Influenza Season 0.475262 Estimated Influenza Illnesses 0.445383 laboratory-confirmed influenza 0.397174 Influenza/Variant Influenza Viruses 0.512255 2014-2015 season 0.40825 influenza vaccine 0.757044 influenza vaccines 0.499078 influenza activity 0.474909 influenza surveillance systems 0.456731 Influenza A viruses 0.49648 seasonal flu vaccine 0.527216 2014-2015 influenza vaccine 0.508238 flu viruses 0.591693 flu activity levels 0.400412 flu 0.813384 Influenza Vaccine Recommendations 0.505131 common circulating influenza 0.420404 influenza seasons 0.441388 influenza vaccine effectiveness 0.623432 flu season 0.629697 2014-2015 flu vaccine 0.444648 end-of-season influenza vaccine 0.4934 Flu Season Drawing 0.461674	CLICK HERE