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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
582	Centers for Disease Control and Prevention	Html	en	World Stroke Day: We Can Prevent Stroke | CDC Features	October 29 is World Stroke Day. This year, the World Stroke Organization is introducing a new slogan for this important health observance: “Because I care…” This theme reminds us that caring about ourselves, our families, and our friends is the key to preventing strokes and to helping those who experience a stroke.	Stroke Statistics—2017 Update 0.659529 Million Hearts® initiative 0.482447 Table D-9 0.450969 training.3 Physical activity 0.499846 moderate-intensity aerobic exercise 0.497251 health care team 0.584669 high cholesterol 0.608895 Statistics Cooperative Program 0.486124 CDC WONDER Online 0.494604 Healthy Living 0.451634 stroke risk 0.647431 health conditions 0.465602 blood flow 0.469173 blood vessels 0.461558 Death Files 0.452079 ischeic strokes 0.476676 women age 0.453006 CDC’s Division 0.457686 Ischemic strokes 0.475355 daily pillbox 0.453696 healthy foods 0.460151 U.S. Census Bureau. 0.482754 stroke patients 0.623377 stroke deaths 0.632167 African Americans 0.486706	MMWR Morb Mortal 0.486232 preventable death.4 Smoking 0.50445 Physical Activity Guidelines 0.486181 Health Statistics. 0.452394 World Stroke 0.671727 heart disease 0.581202 healthy lifestyle choices 0.504552 severe disability 0.460867 Stroke rates 0.628881 Stroke Program funds 0.663445 Fair/Poor Health 0.452906 American Heart Association 0.49365 Multiple Cause 0.484941 lower cholesterol 0.463192 prescription drug insurance 0.493596 blood pressure medicine 0.510482 Antihypertensive Medication Nonadherence 0.485002 stroke 0.944501 vital statistics jurisdictions 0.484336 brisk walking 0.451956 high blood pressure 0.780922 et al 0.481816 act F.A.S.T. 0.450605 blood clot 0.471104	CLICK HERE
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
5647	Centers for Disease Control and Prevention	Html	en	p-Nitroaniline - NIOSH Pocket Guide to Chemical Hazards	null	MPEG 0.378858 search 0.263099 PDF 0.261307 PPT 0.446092	DOC 0.368812 information 0.262482 different file formats 0.938484 page 0.276773	CLICK HERE
6502	Centers for Disease Control and Prevention	Html	en	Yellow Fever Main Page	Information on Yellow Fever. Provided by the U.S. Centers for Disease Control and Prevention.	South America 0.440708 Steps 0.323779 Yellow fever disease 0.711273 severe liver disease 0.53845 bleeding 0.332779 yellow fever 0.919129 infected mosquitoes 0.466154 U.S. travelers 0.434804 rare cause 0.430273 yellow fever virus 0.875836 bite 0.333418 possibility 0.328436 travel history 0.418952	subtropical areas 0.463266 severity 0.337857 Africa 0.322551 protective clothing 0.421207 specific treatment 0.415515 physical findings 0.425826 symptoms 0.331882 infected mosquito 0.477476 insect repellent 0.440236 exposure 0.325238 fever virus infection 0.660533 self-limited febrile illness 0.590279	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
10430	Centers for Disease Control and Prevention	Html	en	Vital Signs: Where's the sodium?'Announcements'DHDSP'CDC	null	average 0.230266 important public health 0.535868 healthy diet 0.366453 visit http://www.cdc.gov/vitalsigns/Sodium/index.html 0.36387 foods 0.319055 edition 0.232397 different sodium levels 0.700833 milligrams 0.22764 diets 0.2378 example 0.227183 sodium Americans 0.635078 Vital Signs program 0.542867 heart disease 0.497511 chicken noodle soup 0.507679 American Heart 0.378082	action 0.232913 mg 0.241727 sodium increases 0.630959 types 0.227955 person’s risk 0.368109 health care dollars 0.482275 Different brands 0.346132 stroke 0.267936 labels 0.227487 sodium 0.989783 high blood pressure 0.788203 medical costs 0.358104 vascular diseases 0.525872 CDC Vital Signs 0.88933	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
14071	Centers for Disease Control and Prevention	Html	en	Interim Guidelines for Pregnant Women During a Zika Virus Outbreak - United States, 2016 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	recent travel 0.333206 Zika virus 0.925008 Zika virus bite 0.416821 subsequent fetal abnormality 0.335842 pregnant women 0.543228 pregnant woman 0.343225 Zoonotic Infectious Diseases 0.344678 health care providers 0.466789 positive RT-PCR result 0.332206 National Center 0.335416 fetal brain abnormality 0.334011 Mathis A. Dengue 0.33612 Zika virus RNA 0.430425 laboratory evidence 0.34341 pregnancy 0.333466 ongoing Zika virus 0.470159 Zika virus disease 0.511625 fetal losses 0.333221 insect repellents 0.338668 Zika virus outbreak 0.445874 Zika virus transmission 0.586729 asymptomatic pregnant women 0.35057 maculopapular rash 0.349424 pregnancy management 0.332046 dengue virus IgM 0.406379	maternal Zika virus 0.402614 intrauterine infection 0.343648 fetal Zika virus 0.421071 intracranial calcifications 0.332676 concurrent infection 0.33278 Zika virus infection 0.750232 Zika virus immunoglobulin 0.403419 specific antiviral treatment 0.357232 amniotic fluid 0.344223 local health department 0.384648 maternal-fetal medicine 0.332734 acute onset 0.347949 local health departments 0.332234 Zika virus infections 0.443775 congenital infection 0.332506 chikungunya virus infection 0.448261 infectious disease specialist 0.357293 pregnant returning travelers 0.347764 antibody titers 0.336072 Zika virus RT-PCR 0.417438 Zika virus IgM 0.405525 et al 0.338481 Ultrasound Obstet Gynecol 0.348583 confirmatory neutralizing antibody 0.335376	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