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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
6951	Centers for Disease Control and Prevention	Html	en	CDC - Preventing Chronic Disease: Volume 9, 2012:11_0190	The objective of this study was to assess the effect of the California WISEWOMAN program on low-income Latinas’s readiness to change physical activity and on self-reported physical activity behaviors.	North Carolina 0.472344 California WISEWOMAN 0.580636 enhanced intervention 0.490952 physical activity behavior-change 0.489212 low-income Latinas 0.477504 health promotion research 0.46655 physical activity behaviors 0.553042 moderate physical activity 0.531813 WISEWOMAN intervention studies 0.476594 WISEWOMAN program staff 0.4694 intervention studies 0.494437 physical activity changes 0.498168 M. Physical activity 0.480024 self-reported physical activity 0.598756 vigorous physical activity 0.703858 Carolina WISEWOMAN program 0.467153 blood pressure 0.496276 EIG 0.462469 self-reported readiness 0.47801 baseline 0.512636 California WISEWOMAN intervention 0.505137 vigorous activity 0.473409 intervention 0.520651 enhanced intervention group 0.479529	Physical activity training 0.478018 physical activity behavior 0.509119 women 0.572935 California WISEWOMAN program 0.557814 health promotion 0.481545 disease risk 0.46499 baseline assessment 0.496362 usual care 0.544158 Physical Activity Assessment 0.488737 public health 0.485999 African American women 0.48115 participants 0.461339 new physical activity 0.485267 follow-up assessments 0.475756 California WISEWOMAN study 0.521925 low-income Mexican women 0.473665 physical activity 0.923734 Womens Health 0.475993 self-reported behavior change 0.469644 WISEWOMAN study protocol 0.472549 intent-to-treat mixed models 0.471737 non-Hispanic white women 0.478529 incorporate physical activity 0.483572 new physical activities 0.483225	CLICK HERE
7341	Centers for Disease Control and Prevention	Html	en	Notifiable Diseases and Mortality Tables - August 24, 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.	H. influenzae 0.497254 rubella case 0.455803 CDC 0.42571 novel influenza 0.698844 NCIRD 0.323888 pandemic influenza 0.916873 measles cases 0.483047 ** Data 0.469521 S. pneumoniae 0.473681 susceptible cases 0.452879 probable cases 0.473186 reporting 0.326147 influenza A virus 0.586992 virus infections 0.476877 National Center 0.442592 strain 0.331484 Immunization 0.332705	viruses 0.328677 cases 0.506163 Table 0.328324 Case definition 0.435418 Total case counts 0.561521 serotypes 0.328394 normally sterile body 0.569258 invasive Streptococcus pneumoniae 0.595567 Cumulative total E. 0.559189 site 0.323203 Influenza Division 0.559744 2009 pandemic 0.775952 Respiratory Diseases 0.446337 ages 0.35051 Isolation 0.327205 Includes drug resistant 0.548838	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
7489	Centers for Disease Control and Prevention	Html	en	Veterans Health Activities - Gulf War Studies - Potential Health Impact on Saudi Arabia National Guard Members	CDC's National Center for Environmental Health (NCEH) has taken the lead for HHS in addressing the health concerns of veterans of the Vietnam War and the Gulf War, and NCEH is working with the Departments of Defense and Veterans Affairs to protect the health of our future military forces.	study 0.368013 SANG soldiers 0.869323 combat-exposed group 0.505084 CDC 0.342873 Smith TC 0.70541 Saudi-United States collaboration 0.651546 collaborative effort 0.526458 Gackstetter DG 0.51206 combat area 0.507973 Infection Control 0.490641 health research 0.502972 unusual patterns 0.505713 risk ratio 0.509968 troops 0.344228 Epidemiology 0.334212 non-combat area 0.551743 Riyadh 0.356478 Saudi Arabia 0.851605 health outcomes 0.53262 Schlangen KM 0.498844 investigators 0.335685 Al Qahtani MS 0.960192	Department 0.336791 Gulf War 0.48762 Saudi Arabia National 0.835575 Hooper TI 0.755958 Memish ZA 0.72545 Al Khafji 0.571238 National Guard Soldiers 0.743486 Barrett DH 0.505382 Gray GC 0.491227 team 0.33633 American Journal 0.490052 diagnoses 0.345309 Defense 0.336759 hospitalization data 0.700268 overall number 0.496617 potential health impact 0.664351 absolute difference 0.500525 hospitalization rates 0.673765 et al 0.666389 confidence interval 0.521501 International Journal 0.489167 health researchers 0.546517	CLICK HERE
7732	Centers for Disease Control and Prevention	Html	en	Vital Signs: HIV Infection, Testing, and Risk BehaviorsAmong Youths - United States	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.	new HIV infections 0.905157 injection drug 0.407362 male-to-male sexual contact 0.564798 newly infected youths 0.318495 risk behaviors 0.424869 HIV prevention 0.374666 HIV progression 0.331992 blacks/African Americans 0.401796 higher HIV prevalence 0.361012 urban school districts 0.360479 acute HIV infection 0.371953 primary HIV infection 0.363719 Youth Risk Behavior 0.361849 community-level HIV prevention 0.345729 HIV risk behaviors 0.390241 high risk youths 0.311359 behavioral HIV interventions 0.351966 sexual intercourse 0.371907 HIV prevention services 0.356323 males 0.368074 HIV risk 0.415533 persons 0.346361 Routine HIV testing 0.354425 new HIV infection 0.384806	large urban school 0.363269 United States 0.382964 youths 0.465392 National HIV Surveillance 0.432365 HIV diagnosis 0.396674 hiv incidence surveillance 0.377063 HIV prevention education 0.352293 HIV transmission 0.335539 public health 0.298862 HIV acquisition 0.3354 HIV risk factor.** 0.380159 recent HIV seroconversion 0.340507 black/African American youths 0.316934 high school students 0.424203 early HIV diagnosis 0.354972 HIV care 0.328358 HIV risk factors 0.395647 9th–12th grade students 0.328587 HIV prevention interventions 0.35716 HIV testing 0.460673 Risk Behavior Surveillance 0.297248 et al 0.292836 young MSM 0.341465 sexual health services 0.303441	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
8548	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Prevalence of Waterpipe TobaccoSmoking Among Population Aged 15 Years or Older, Vietnam, 2010 -CDC	The prevalence of waterpipe tobacco smoking is increasing globally and is associated with adverse outcomes requiring tobacco control interventions. We estimated the prevalence of waterpipe tobacco use among adult populations in Vietnam in 2010 and examined its association with sociodemographic factors.	adult waterpipe smokers 0.292117 tobacco waterpipe 0.316192 age group 0.281095 highest smoking rates 0.277823 current waterpipe smoking 0.32491 current waterpipe smokers 0.287299 waterpipe use prevalence 0.270095 waterpipe smoking prevalence 0.321051 cigarette smoking 0.272167 waterpipe tobacco smokers 0.353948 prevalence 0.335973 adverse health effects 0.289277 Vietnam 0.331945 Mekong River Delta 0.307976 tobacco control programs 0.329252 Global Tobacco Surveillance 0.291207 P. Waterpipe smoking 0.289282 waterpipe smoking 0.435625 Adult Tobacco Survey 0.326594 waterpipe tobacco smoking 0.979715 waterpipe smokers 0.311178 public health 0.288247 GATS Vietnam 0.284649 waterpipe tobacco control 0.314462	smoking causes disease 0.270509 World Health Organization 0.37501 current waterpipe tobacco 0.448907 tobacco smoking status 0.32404 cigarette tobacco 0.27153 tobacco health warnings 0.295813 Global Adult Tobacco 0.32618 nonwaterpipe tobacco smokers 0.297319 BMC Public Health 0.274041 Vietnam waterpipe smoking 0.326754 key tobacco control 0.296392 tobacco control policies 0.298 global tobacco epidemic 0.278899 tobacco products 0.304112 smoking causes diseases 0.270191 Hanoi Medical University 0.293988 tobacco control interventions 0.30484 tobacco use epidemic 0.278528 geographic region 0.278791 tobacco use control 0.288628 General Statistics Office 0.275561 tobacco control 0.399983 health effects 0.314339	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