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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
6541	Centers for Disease Control and Prevention	Html	en	Working to Protect Against the Dangers of Dengue	CDC Works For You 24/7 Protecting People - Working to Protect Against the Dangers of Dengue - Dengue, a painful and sometimes deadly viral disease transmitted by mosquitoes, threatens more than 3.5 billion people worldwide. Dengue is endemic in at least 100 countries in Southeast Asia, the Pacific Islands, the Caribbean, Central America, South America, and parts of Africa. As many as 100 million people become infected yearly, and nearly 500,000, mostly children, develop the potentially deadly dengue hemorrhagic fever.	South America 0.575962 Central America 0.576208 Puerto Rico 0.571512 increasingly critical threat 0.731864 Large numbers 0.558335 United States 0.675047 changes 0.430314 example 0.429296 Republic 0.428966 Southeast Asia 0.584383 Marshall Islands 0.556528 children 0.431797 potentially deadly dengue 0.962387 public health worldwide 0.711949 locally acquired dengue 0.900054 possibility 0.433328 new problem 0.575984 mosquitoes 0.504308	cases 0.45354 hemorrhagic fever 0.596344 Pacific Islands 0.5767 epidemic 0.436659 Africa 0.432416 urban areas 0.564329 countries 0.432734 deadly viral disease 0.784938 Florida 0.429194 people 0.467859 travelers 0.432084 vectors 0.438516 epidemics 0.506723 dengue-endemic areas 0.557858 parts 0.462175 dengue viruses 0.750256 Caribbean 0.430544	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
9010	Centers for Disease Control and Prevention	Video	en	Director's Briefing: Talk to Your Doc About Quitting Smoking	In this Director's Briefing video, CDC Director Dr. Tom Frieden talks about how two-thirds of tobacco users want to quit, but fewer than one in ten succeed each year; however, advice from doctors can double or triple the odds that someone will quit for good. Doctors, pharmacists, physician assistants, nurses, and all healthcare providers need to play a critical role in helping tobacco users quit. For more information on CDC's Tips from Former Smokers campaign 2013, visit www.cdc.gov/tips. Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html This video can also be viewed at http://streaming.cdc.gov/vod.php?id=a3fd6e7afbd3dd72d2f27a4011198d4220130514133811240	Director 0.345555 Talk 0.343898	Doc About Quitting 0.966112 YouTube 0.63058	CLICK HERE
10130	Centers for Disease Control and Prevention	Html	en	Global Health - Global Health Security - Prevent	null	endorsement 0.282622 CDC 0.261195 institutional factors 0.552576 supply chains 0.540718 Promote safe practices 0.767667 minimal number 0.510735 responsible conduct 0.498205 infection control 0.494301 effort 0.25287 epidemic-prone diseases 0.481205 research 0.250211 Content source 0.508551 HHS 0.289022 ways 0.250539 Notice 0.25823 novel zoonotic diseases 0.881873 antimicrobial resistance 0.591719 dangerous microbes 0.569856 early detection 0.526106 animals 0.307619 surveillance 0.255805	drug-resistant microorganisms 0.608341 disease threats 0.563113 settings 0.256009 development 0.250599 emergence 0.278559 strategies 0.251283 livestock production 0.518466 diagnosis 0.250271 biosurveillance 0.250122 countries 0.250479 food safety 0.509984 biological materials 0.505122 marketing 0.252275 non-federal site 0.535025 zoonotic diseases 0.951589 safely monitoring 0.515269 effective programs 0.48883 facilities 0.249061 employees 0.248225 antibiotics 0.275006 humans 0.262839	CLICK HERE
10959	Centers for Disease Control and Prevention	Html	en	Decoding MERS Coronavirus: AMD provides quick answers	To decode the 2014 Middle East Respiratory Syndrome (MERS-CoV), CDC used advanced molecular detection (AMD) methods.	CDC 0.784477 new sequence information 0.565427 traveler 0.234564 nation 0.232614 rapid pace 0.379031 Respiratory Syndrome Coronavirus 0.600642 public health investigators 0.812259 funded work 0.408066 emergent threats 0.393171 far-reaching effort 0.428435 number 0.23306 lower airways 0.399334 serum specimen 0.444247 AMD 0.540147 stronger safeguards 0.409148 case 0.269333 infectious disease outbreaks 0.594276 Indiana State Department 0.575975 additional sputum 0.402224 mucus 0.256356 timeliness 0.245394 person 0.255206 East Respiratory Syndrome 0.954251 positive result 0.420351 Action 0.235846	United States 0.596467 AMD methods 0.477474 Advanced Molecular Detection 0.562293 scientific community 0.387478 significant changes 0.38065 bioinformatics capabilities 0.424276 parallel work 0.377288 Saudi Arabia 0.626885 Major changes 0.391272 complete virus genome 0.62684 patient 0.269213 genetic sequencing methods 0.648119 Middle East Respiratory 0.954449 cases 0.233042 infectious disease outbreak 0.621648 unknown agents 0.386162 positive laboratory result 0.592779 GenBank 0.242779 AMD funding 0.527522 significant leap 0.43059 infectious disease 0.623945 AMD program 0.53947 responses 0.235918 MERS-CoV sequences 0.382228	CLICK HERE
12824	Centers for Disease Control and Prevention	Image	null	Protect Your Child From Measles (725W x 380H)	null			CLICK HERE
13899	Centers for Disease Control and Prevention	Html	en	Final Cumulative Maps & Data for 1999-2014 | West Nile Virus | CDC	Information on West Nile Virus. Provided by the U.S. Centers for Disease Control and Prevention.	North Carolina 0.87528 Vermont 0.57611 Puerto Rico 0.938142 Indiana 0.583067 Maine 0.581301 Tennessee 0.577166 Dist. 0.586532 Alabama 0.593276 Arkansas 0.592172 South Carolina 0.867726 Utah 0.576461 Washington 0.575407 Nebraska 0.578494 West Virginia 0.908651 Colorado 0.591438 Massachusetts 0.580597 Missouri 0.579194 Alaska 0.592908 North Dakota 0.874321 Arizona 0.59254 Nevada 0.578144 Rhode Island 0.938849 New York 0.879197	Montana 0.578844 Kentucky 0.582007 South Dakota 0.866775 Hawaii 0.584131 Minnesota 0.579895 California 0.591805 Kansas 0.58236 Delaware 0.590705 Florida 0.589955 New Jersey 0.881132 Michigan 0.580246 Iowa 0.582713 Mississippi 0.579544 Columbia 0.586514 New Mexico 0.890167 Illinois 0.583421 Texas 0.576814 New Hampshire 0.892145 Connecticut 0.591071 Louisiana 0.581654 Ohio 0.575656 Georgia 0.58959 Maryland 0.580949	CLICK HERE
14098	Centers for Disease Control and Prevention	Html	en	Zika Virus Spreads to New Areas - Region of the Americas, May 2015-January 2016 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	health care provider 0.437435 Virus-specific cross-neutralization testing 0.433289 human disease cases 0.442744 Zika virus 0.923295 best way 0.435411 limited areas 0.437053 pregnant women 0.478621 virus disease cases§ 0.486047 Health care providers 0.499264 mosquito-borne flavivirus 0.440905 mosquito-to-human transmission 0.433306 World Health Organization 0.441813 ongoing Zika virus 0.531683 Zika virus disease 0.651369 compatible travel history 0.433998 possible congenital infection 0.444737 nonpurulent conjunctivitis 0.434613 public health practice 0.442585 Aedes aegypti mosquitoes 0.450065 primary flavivirus infections 0.435973 Zika virus transmission 0.659433 maculopapular rash 0.454455 American Health Organization 0.474493 secondary flavivirus infection 0.446763 Ae. albopictus mosquitoes 0.438162	United States 0.528212 Aedes species mosquitoes 0.437861 intrauterine transmission 0.433229 Zika virus infection 0.770249 Pan American Health 0.473877 continental United States 0.518373 State health departments 0.43678 local health department 0.470968 local transmission 0.54402 state health department 0.44164 acute onset 0.454072 symptomatic disease 0.440796 local health departments 0.439326 Zika virus infections 0.554255 intrapartum transmission 0.433273 virus disease cases 0.500745 congenital infection 0.464543 sexual transmission 0.433253 chikungunya virus infection 0.509006 Aedes albopictus mosquitoes 0.443691 laboratory diagnostic testing 0.433509 Febrile pregnant women 0.437425 Zika virus testing 0.50752 local human-to-mosquito-to-human spread 0.437648	CLICK HERE