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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
4621	Centers for Disease Control and Prevention	Html	en	Guidance from Pediatric Stakeholders: A Coordinated Approach to Communicating Pediatric-related Information on Pandemic Influenza at the Community Level	null	general public 0.985393 community level 0.225764 emergency response planning 0.210788 influenza pandemic 0.625587 medical provider offices 0.218071 community planners 0.254794 medical community 0.785657 general public working 0.234226 pediatric-related information 0.323723 local public health 0.225761 pandemic influenza 0.208487	emergency response community 0.266112 public health alerts 0.206445 general development process 0.204705 key component 0.201859 H1N1 influenza pandemic 0.403385 Joint Information Center 0.228467 medical professionals 0.211452 information 0.668285 public health department 0.221227 pediatric stakeholders 0.546162 communication 0.328266	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
10788	Centers for Disease Control and Prevention	Html	en	CDC Telebriefing: Potentially Preventable Deaths from the Five Leading Causes of Death | Media Advisory | CDC Online Newsroom | CDC	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	list Skip 0.718875 Mortality Weekly Report 0.720504 CDC Media 0.414821 question 0.281799 Non-Media 0.219509 United States 0.429214 page options Skip 0.914304 Tom Frieden 0.476039 historical purposes 0.466444 touchtone phone 0.440136	navigation Skip 0.717732 Noon ET 0.460206 transcript 0.220229 Disease Control 0.422574 Thursday 0.222093 U.S. DEPARTMENT 0.392399 PASSCODE 0.210674 HUMAN SERVICES 0.391539 press conference 0.394791 Potentially Preventable Deaths 0.778475	CLICK HERE
11453	Centers for Disease Control and Prevention	Html	en	Emerging & Zoonotic Infectious Diseases	Diseases can cross communities and borders, but CDC responds whenever and wherever there is an infectious disease threat.	deadly viruses 0.776364 CDC 0.73294 bacteria 0.544192 fungus laboratory 0.717886 sickness 0.548166 responders 0.54698 dangerous infections 0.757412 drug-resistant microbes 0.791454 treatment guidance 0.713519 sealed medication vials 0.897825 animals 0.542996 germs 0.624904 steroid injections 0.780432 routine shot 0.74066 U.S. communities 0.749993 patients 0.573836 Brentwood 0.542748 Public health workers 0.898764 countries 0.542838 insects 0.54026 contaminated steroid 0.777188 state public health 0.893378 New England 0.720315 extreme sensitivity 0.736745 foodborne outbreaks 0.824904	poor practices 0.714178 clinics 0.580301 borders 0.542765 Tennessee 0.576354 communicable diseases 0.763515 Drug Administration 0.709933 fever 0.53926 infectious disease threat 0.97537 unprecedented infection 0.734727 local health partners 0.90103 track 0.543298 pharmacies 0.54367 newly developed test 0.887041 healthcare-associated infection laboratory 0.887055 56-year-old woman 0.734478 neck 0.53911 people 0.581354 deadly 23-state outbreak 0.952556 doctor 0.54017 health partners 0.906055 microorganisms 0.542935 professional standards 0.713218 steroids 0.551945 headache 0.544539	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
12213	Centers for Disease Control and Prevention	Html	en	Support Services for Survivors of Ebola Virus Disease -Sierra Leone, 2014	On December 12, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr).	comprehensive survivor packet 0.486976 nongovernmental organizations 0.470401 Sierra Leone Ebola 0.775882 in-depth interviews 0.478845 community reunification programs 0.478544 Ebola survivors 0.640937 health issues 0.493737 MMWR Early Release 0.468915 Operations Psychosocial Consortium 0.594724 7Sierra Leone Ministry 0.519036 psychosocial support counselors 0.543673 consortium assessed survivor 0.495772 Seung Hee Lee-Kwan 0.526727 professional psychosocial support 0.497386 Emergency Operations Center 0.467218 psychosocial support 0.553867 roles Ebola survivors 0.620052 tasks survivors 0.506469 comprehensive discharge counseling 0.514313 survivors 0.64315 counselors accompany survivors 0.528693 local nongovernmental organization 0.475428 Ebola patients 0.570207 Ebola virus disease 0.589518 physical health issues 0.477889	Sierra Leone 0.936074 Emergency Operations Psychosocial 0.596127 CDC Sierra Leone 0.559346 survivor wellness center 0.489697 psychosocial issues 0.481686 Sierra Leone government 0.569779 Ebola outbreak response 0.559997 focus groups 0.480264 survivor reintegration 0.475622 district nongovernmental organizations 0.469867 Leone Ebola Emergency 0.745033 previous Ebola outbreaks 0.590995 survivor support centers 0.48933 ongoing psychosocial support 0.492159 commonly reported sequelae 0.482684 Kenema District 0.478489 National Survivor Conference 0.492338 Ebola response 0.616572 Ebola care 0.538705 Ebola treatment units 0.580351 Sierra Leone Ministry 0.643865 Leone District Ebola 0.626062 current West Africa 0.467417 Ebola Emergency Operations 0.720333	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
13298	Centers for Disease Control and Prevention	Html	en	Acute Rheumatic Fever and Rheumatic Heart Disease AmongChildren - American Samoa, 2011-2012	Amanda Beaudoin, DVM, PhD1; Laura Edison, DVM1; Camille E. Introcaso, MD2; Lucy Goh, MD3; James Marrone, MD4; Amelita Mejia, MD4; Chris Van Beneden, MD5 (Author affiliations at end of text).	acute rheumatic fever 0.908928		CLICK HERE
16107	Centers for Disease Control and Prevention	Html	en	Join Your Peers-Lead the Way | NDPP | Diabetes	National Diabetes Prevention Program	strong results 0.330767 Los Angeles-area offices 0.459869 productive lives 0.344565 law firm Latham 0.475094 Beth Lundholm 0.352016 largest employer 0.345687 diabetes prevention lifestyle 0.523334 New York City 0.632443 program participants 0.36102 positive outcomes 0.348089 CDC-recognized lifestyle change 0.519718 members 0.245608 DPP partner 0.41673 diabetes impact 0.359464 clinical results 0.341818 weight loss 0.340658 blood sugar levels 0.446359 Latham’s wellness 0.347737 cost effectiveness 0.345704 employees 0.296137 York City office 0.450608 Minnesota Management 0.342049 lifestyle change programs 0.939084 office-wide awareness 0.333542	small employers 0.356032 lifestyle change classes 0.482565 Omada Health 0.391595 Minnesota BE Nice 0.344263 Chronic diseases 0.340026 states 0.248053 health care programs 0.486006 on-site A1c testing 0.442973 Group Insurance Program 0.487732 family-owned businesses 0.351593 engaging programming 0.340578 City hospital 0.334452 DPP enrollment campaign 0.555022 hard work 0.337954 covered benefit 0.500906 successful pilot 0.331545 prediabetes 0.266993 biometrically screen 0.333375 scalable enrollment 0.344571 Diabetes Prevention Program 0.50111 respected New York 0.448776 health plan 0.350627 public university 0.35476 firm’s commitment 0.333827	CLICK HERE