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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
929	Centers for Disease Control and Prevention	Html	en	CDC Reports Flu Hit Younger People Particularly Hard This Season | Press Release | CDC Online Newsroom | CDC	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	influenza infection 0.38278 Mortality Weekly Report 0.364859 flu activity 0.536708 H1N1 virus 0.342574 better flu vaccines 0.455078 currently circulating H1N1 0.349845 Disease Control 0.289409 season 0.564401 pandemic season 0.31174 best preventive tool 0.331494 flu surveillance data 0.486788 Director Tom Frieden 0.375058 flu hospitalizations 0.532878 flu illness 0.556939 age groups 0.287007 H1N1 viruses 0.287409 People age 0.318226 antiviral treatment guidance 0.339187 Younger people 0.316617 high risk 0.400061 second-highest hospitalization rate 0.468042 older people 0.295299 middle-age adults 0.292254 difficult reminder 0.287861 Vaccine Best Tool 0.35971	influenza 0.598005 U.S. Influenza Vaccine 0.409277 age group 0.480793 flu vaccine 0.687683 younger age group 0.383634 percent 0.548422 flu complications 0.397494 flu vaccine effectiveness 0.48237 annual flu vaccine 0.474174 Influenza deaths 0.417197 middle-aged adults 0.29403 middle-aged people 0.35513 high risk factors 0.33295 influenza season 0.364857 flu deaths 0.417906 antiviral drugs 0.342991 people 0.788374 influenza vaccination 0.346115 flu 0.972714 influenza viruses 0.325479 hospitalization rates 0.36625 predominant influenza virus 0.413374 predominant circulating viruses 0.371787 Dr. Frieden 0.365959	CLICK HERE
1160	Centers for Disease Control and Prevention	Html	en	Using Online Reviews by Restaurant Patrons to IdentifyUnreported Cases of Foodborne Illness — New York City,2012–2013	Cassandra Harrison, MSPH1,2, Mohip Jorder, MS3, Henri Stern3, Faina Stavinsky, MS1, Vasudha Reddy, MPH1, Heather Hanson, MPH1, HaeNa Waechter, MPH1, Luther Lowe4, Luis Gravano, PhD3, Sharon Balter, MD1 (Author affiliations at end of text).	online restaurant reviews 0.509122 online foodborne illness 0.57869 true foodborne illness 0.572106 data 0.479442 restaurant-related foodborne illness 0.566294 pilot project 0.520794 New York City 0.867249 reviews 0.729998 unreported restaurant-related outbreaks 0.526724 meal date 0.481878 Yelp 0.595249 DOHMH 0.569377 unreported outbreaks 0.477863 foodborne illnesses 0.541376 foodborne disease epidemiologist 0.662013 foodborne epidemiologists 0.535749 foodborne disease outbreaks 0.542779 review websites 0.526955 foodborne illness complaints 0.623484 Yelp restaurant reviews 0.571122 foodborne illness 0.977912 severe neurologic illness 0.50341 Yelp reviews 0.517797 likely foodborne cause 0.530165	Yelp accounts 0.511842 foodborne cases 0.506818 City restaurant reviews 0.503985 individual criteria 0.51014 unreported restaurant outbreaks 0.484593 DOHMH outbreak investigation 0.527713 foodborne epidemiologist 0.539222 average review score 0.544129 incubation period 0.485027 health departments 0.504105 public health 0.537186 potentially recent illness 0.510839 Yelp account 0.486628 recent foodborne illness 0.627105 health department 0.50303 Restaurant patron reviews 0.48299 potentially recent foodborne 0.529899 review website Yelp 0.548469 restaurant review online 0.47991 reviewers 0.512805 illness symptoms 0.479683 text classification programs 0.501482 illness keyword 0.478405 possible foodborne illness 0.620329	CLICK HERE
7405	Centers for Disease Control and Prevention	Html	en	Emergency Room Procedures in Chemical Hazard Emergencies	The Centers for Disease Control and Prevention provides independent oversight to the U.S. chemical weapons elimination program. This page is a job aid for emergency room procedures in chemical hazard emergencies.	Notify local emergency 0.882584 decon supplies 0.727457 hospital pharmacy 0.683476 emergency room 0.6899 Handle victim 0.717539 cholinesterase poisoning 0.711743 Lewisite Protocol 0.690309 hemorrhaging 0.554039 management authorities 0.6925 eye irritation 0.686818 large amounts 0.692818 blood gases 0.667707 agent identity 0.717643 personal protective equipment 0.995913 personal protection equipment 0.885727 secure hospital entrances 0.862488 Thermal burn 0.683162 Survey extent 0.677605 large burns 0.712173 in-patient treatment 0.669606 Restrict fluids 0.686621 positive M-8 paper 0.839597 emergency treatment 0.66364 possible chemical exposures 0.822394 severe dyspnea 0.838317	hot line 0.714899 deep IM 0.675393 repeat 0.579933 chemical hazard 0.733664 atropine 0.547828 organophosphate 0.550971 airway 0.544852 EMTs 0.543127 suspicion 0.539871 Nerve Agent Protocol 0.8429 MILD DYSPNEA 0.676662 military agent 0.695278 SIGNS WORSEN 0.690754 Hold victim 0.710137 antidotes 0.550441 lbs body 0.676941 chlorine poisoning 0.726861 artificial respiration 0.70206 Chlorine Protocol 0.711471 chest x-ray 0.675115 Mustard Protocol 0.691695 Phosgene Protocol 0.684426 thermal burns 0.702387 Morphine prn 0.689344	CLICK HERE
8279	Centers for Disease Control and Prevention	Html	en	Press Briefing Transcript - Vital Signs Telebriefing on Carbapenem-Resistant Enterobacteriaceae	[Title]	hospitals 0.521878 multi-drug resistant bacteria 0.462505 Okay.  Thank 0.497241 CRE bacteria 0.541297 CRE rates. 0.523539 infections 0.540325 bacteria.  Dr. Srinivasan 0.501487 resistant bacteria 0.473022 CRE. 0.486646 tom frieden 0.85103 CRE organisms 0.514453 mike stobbe 0.494435 healthcare facilities 0.592824 Okay.  Dr. Srinivasan 0.490844 carbapenem-resistant enterobacteriaceae.  CRE 0.544354 well.  Dr. Srinivasan 0.494555 ARJUN SRINIVASAN 0.977691 CRE 0.804602 CRE infections 0.530315 acute care hospitals 0.516349 nursing homes.  CRE 0.54349 Vital Signs 0.514629 CRE patients. 0.523021 dan childs 0.471858 TOM SKINNER 0.788155	chance CRE 0.52132 Srinivasan.  Dr. Frieden 0.496583 michelle marill 0.473381 delthia ricks 0.554892 health departments 0.565906 Dr. Tom Frieden 0.514099 CRE tool kit 0.528557 E. coli 0.473011 drug resistant infections 0.463521 New York 0.545358 Vital Signs report 0.472907 question 0.568862 Okay.  Thank you. 0.462901 lena sun 0.489401 high fatality rate 0.47493 medical care 0.464301 long-term acute care 0.571278 OPERATOR 0.464511 healthcare workers 0.540867 urinary tract infections 0.484077 CRE patients 0.508892 Dr. Frieden 0.608692 CRE infection 0.535409 active surveillance 0.466992	CLICK HERE
8358	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Multistate Outbreak of SalmonellaInfantis, Newport, and Lille Infections Linked to Live Poultry froma Single Mail-Order Hatchery in Ohio - March-September,2012	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.	single agricultural feed 0.281635 mmwrq@cdc.gov. 0.218446 purchasing live poultry 0.429776 materials warning customers 0.274946 outbreak strains 0.248731 original MMWR paper 0.280171 U.S. Government Printing 0.278177 Human Services 0.266256 Pediatr Infect Dis 0.27284 assistive technology 0.213387 Jennifer R. Mitchell 0.400557 Casey Barton Behravesh 0.268916 food regulatory agency 0.308481 outbreak investigation 0.225861 U.S. Department 0.358937 MMWR HTML versions 0.273095 human salmonellosis 0.229909 baby poultry 0.297798 subtypes disease-causing organisms 0.311639 Ohio Dept 0.27054 national network 0.213805 human Salmonella Typhimurium 0.356497 electronic PDF version 0.274217 human Salmonella infections 0.558437	ill persons 0.495763 multiple feed stores 0.290938 live poultry–associated salmonellosis 0.316272 feed stores 0.387536 Salmonella serotypes Infantis 0.371564 public health 0.220735 mail-order hatchery 0.947352 agricultural feed 0.284574 single mail-order hatchery 0.634996 subject line 0.214011 Contact GPO 0.218621 available purchase information 0.289304 Tony M. Forshey 0.272307 backyard flocks 0.220589 agricultural feed stores 0.282646 single outbreak 0.232026 National Poultry Improvement 0.394425 live poultry purchases 0.403406 original paper copy 0.267405 live poultry 0.806622 Salmonella infections outbreaks 0.360639 mail-order hatcheries 0.403871 poultry displays 0.30615	CLICK HERE
8935	Centers for Disease Control and Prevention	Html	en	Vaccine Information Statement: Shingles - Vaccines - CDC	Shingles Vaccine Information Statement	catch shingles 0.662988 Page 0.398035 body 0.339541 nearest hospital 0.389115 severe allergies 0.455989 severe allergic reaction 0.799726 chills 0.323931 shingles 0.986961 severe problems 0.444549 immune systems 0.398266 clinical trials 0.397456 post-herpetic neuralgia 0.418626 soreness 0.321989 fast heartbeat 0.391152 chickenpox vaccine 0.621584 shingles vaccine 0.946526 Herpes Zoster 0.433627 Vaccine Adverse Event 0.567824 Mild problems 0.394756 behavior changes 0.389521 VAERS website 0.413817 life-threatening allergic reaction 0.521668 person 0.466403 difficulty breathing 0.386938 shingles infection 0.671841	single dose 0.397132 United States 0.39827 upset stomach 0.413971 Varicella Zoster virus 0.508922 medical advice 0.395413 minor acute illness 0.462086 main symptom 0.414519 signs 0.329271 pneumonia 0.319666 state health department 0.463891 Current Edition Date 0.502772 younger people 0.398072 painful skin rash 0.520499 severe allergic reactions 0.549191 severe pain 0.46282 blisters 0.322123 severe acute illness 0.523136 doctor 0.363546 brain inflammation 0.404548 face 0.333613 antibiotic neomycin 0.40386 risk 0.334663 headache 0.342084 gelatin 0.320053	CLICK HERE
9904	Centers for Disease Control and Prevention	Html	en	HIV Prevention Q and A - HIV Basics - HIV/AIDS	Answers to questions such as: How can I prevent getting HIV from anal or vaginal sex? How can I prevent getting HIV from oral sex? Can I take medicines to prevent getting HIV?	pre-exposure prophylaxis 0.449664 emergency room doctor 0.362514 male condom 0.391214 STD testing site 0.359099 health care provider 0.603941 right way 0.704343 CDC’s HIV 0.611279 viral load 0.401097 anal sex 0.490318 nitrile female condoms 0.374602 post-exposure prophylaxis 0.382968 needs 0.360235 sex partner 0.344924 oral sex 0.477511 ongoing sexual relationship 0.360573 body fluids 0.389709 HIV Risk Reduction 0.749202 HIV-positive partner 0.387931 HIV medicines 0.440401 sexually transmitted diseases 0.421358 female condoms 0.39324 long-term health consequences 0.359764 undetectable viral load 0.358104 condom 0.429697 needles 0.362587	condoms 0.434146 antiretroviral therapy 0.407502 sexual behaviors 0.353543 Risk Reduction Tool 0.694818 receptive anal sex 0.370743 bisexual male partners 0.35854 HIV transmission 0.438092 unknown HIV status 0.439508 chance 0.343975 drugs 0.350177 sex 0.698209 HIV test 0.384856 vaginal sex 0.421879 PrEP 0.380944 sexual partners 0.344571 BETA 0.346799 HIV 0.915286 partner 0.451599 partners 0.40755 STDs 0.388495 information 0.370687 PEP 0.363693 time 0.359469 HIV infection 0.540114	CLICK HERE
11382	Centers for Disease Control and Prevention	Html	en	NIOSH Warns of Sillicosis Risks in Construction, Suggests Measures to Reduce Exposure (96-120)	null	construction workers 0.496201 lung tissue 0.347156 worksite contaminants 0.353314 Preventing Silicosis 0.425856 masonry products 0.3491 NIOSH requests 0.373227 abrasive blasting 0.395579 construction activities 0.394998 good working order 0.380797 washable protective clothes 0.378611 respirable crystalline silica 0.960553 NIOSH 0.399786 small amounts 0.34882 lower risks 0.352395 practical steps 0.351502 equipment manufacturers 0.346225 crystalline silica dust 0.642008 dust control systems 0.391584 workplace exposure 0.361862 health effects 0.345203 adequate respiratory protection 0.382725 good personal hygiene 0.378888 work areas 0.384537 Director Linda Rosenstock 0.390138 economic costs 0.346813	NIOSH Alert 0.382578 silica exposures 0.45368 high dust concentrations 0.400484 silica sand 0.500838 State health departments 0.379494 Occupational Safety 0.351387 hazardous materials 0.345621 adjacent workers 0.354959 breathing respirable crystalline 0.485712 National Institute 0.353709 health community work 0.389566 abrasive blasting materials 0.38434 silica exposure 0.526193 NIOSH REL 0.369285 unnecessary exposure 0.359921 fatal respiratory disease 0.4768 construction industry 0.353488 sweeping concrete 0.349065 Post warning signs 0.380771 silicosis 0.500921 Conduct air monitoring 0.377939 work practices 0.345179 periodic medical examinations 0.380371 worker exposures 0.352414	CLICK HERE
12879	Centers for Disease Control and Prevention	Html	en	Global hypertension treatment will save millions of lives	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	PAHO Strategic Fund 0.523426 uncontrolled hypertension 0.683656 infectious diseases 0.477563 effective treatment 0.361436 health care team 0.44343 mass scale-up 0.34002 Heart disease 0.362786 disorder worldwide 0.337909 global scale 0.341643 middle-income countries 0.368619 standardized treatment approaches 0.466331 GSHT Project 0.586286 Director Tom Frieden 0.771596 CDC Director Tom 0.748302 primary care workers 0.441275 chronic non-communicable disease 0.469722 hypertension drug prices 0.614625 strategic purchasing agreements 0.431844 blood pressure control 0.483429 silent killers 0.339226 American Health Organization 0.471184 premature mortality 0.340237 different medications 0.342665 limited access 0.356628 heart attacks 0.356565	heart attack 0.334162 major contributor 0.344653 hypertension drugs 0.499437 single two-drug pill 0.435047 good news 0.335841 countries rates 0.343946 annual toll 0.335905 once-a-day medications 0.34825 smallest member states 0.438977 adverse economic impact 0.457277 cardiovascular disease 0.73235 basic public health 0.440617 tuberculosis treatment 0.355426 promising approach 0.346532 income levels 0.34009 optimal control 0.33391 PAHO Director Carissa 0.563124 people 0.357123 Lancet commentary 0.366224 hypertension treatments 0.517131 Standardized Hypertension Treatment 0.703649 high blood pressure 0.964612 effective programs 0.345103 mass scale 0.343543	CLICK HERE
14188	Centers for Disease Control and Prevention	Html	en	Prevalence of Sugar-Sweetened Beverage Intake Among Adults -23 States and the District of Columbia, 2013 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	highest prevalence 0.261562 Risk Factor Surveillance 0.266097 high school education 0.412638 blacks 0.244924 self-reported SSB 0.296158 BRFSS data 0.244019 SSB intake module 0.389475 daily intake 0.326029 higher reported consumption 0.244202 SSB consumption 0.319138 adult SSB intake 0.389753 daily SSB consumption 0.313228 potential adverse health 0.264089 usual intake assessment 0.284879 high SSB intake 0.357935 persons 0.276418 dietary intake data 0.289543 telephone survey 0.252232 regular soda 0.249726 Behavioral Risk Factor 0.266151 overall age-adjusted prevalence 0.255267 lower SSB intake 0.350407 adults 0.3148 excess intake 0.272549 fruit drinks 0.248263	phone follow-up survey 0.26159 states 0.280539 adverse health 0.2656 West Virginia 0.290497 state SSB intake 0.368569 non-Hispanic blacks 0.243198 daily intake prevalence 0.31907 Higher SSB intake 0.357164 SSB optional module 0.30505 public health 0.26598 daily ssb intake 0.780615 cardiovascular disease 0.260438 U.S. adults 0.30862 age-adjusted prevalence 0.255399 SSB intake questions 0.369988 highest prevalences 0.24553 added sugars 0.270119 SSB intake 0.926568 daily intake frequency 0.300637 adverse health consequences 0.262619 Chronic Disease Prevention 0.250869 SSB reduction 0.309715 SSB questions 0.29216 SSBs 0.258169	CLICK HERE