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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
494	Centers for Disease Control and Prevention	Html	en	CDC - 2009 H1N1 Flu: International Situation Update	Content on this page was developed during the 2009-2010 H1N1 pandemic and has not been updated.	influenza 0.922677 South Africa 0.329953 fatal cases 0.275661 Mortality Weekly Report 0.403545 H1N1 flu deaths 0.465488 novel influenza 0.516769 influenza A viruses 0.465733 influenza transmission 0.444335 white house report 0.404405 active areas 0.339055 flu activity 0.667874 seasonal influenza viruses 0.805521 H1N1 virus 0.304188 Southeast Asia 0.335623 H1N1 activity 0.301817 Weekly Epidemiological record 0.313669 Northern Hemisphere 0.351053 pandemic flu activity 0.431006 H1N1 flu situation 0.408965 influenza B viruses 0.485274 worldwide novel influenza 0.482714 pandemic transmission 0.275812 h1n1 flu 0.527713	international flu situation 0.433682 following viruses 0.292035 low worldwide 0.285906 situational updates 0.277453 CDC H1N1 Flu 0.417091 Southern Hemisphere 0.475305 influenza season 0.431059 World Health Organization 0.449583 influenza vaccines 0.43013 H1N1 influenza 0.449689 low level co-circulation 0.449226 H1N1 flu virus 0.430876 actual numbers 0.276013 virus infection 0.330254 H1N1 viruses 0.321912 2009 Pandemic 0.297559 Risk Assessment Influenza 0.473653 Southeast Asia countries 0.323159 Low level circulation 0.33018 Web page 0.278687 frequently reported influenza 0.659708 low flu activity 0.425588 novel H1N1 flu 0.465458	CLICK HERE
4896	Centers for Disease Control and Prevention	Html	en	2010 Haiti Cholera Outbreak: CDC Responds to Cholera Outbreak in Haiti	CDC - Global Health	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
5895	Centers for Disease Control and Prevention	Html	en	Trifluorobromomethane - 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
6216	Centers for Disease Control and Prevention	Html	en	People live longer if they practice one or more healthy lifestyle behaviors - Press Release: August 18, 2011	CDC report finds people live longer if they practice one or more healthy lifestyle behaviors	healthy diet 0.674142 low-risk behaviors 0.507342 CDC’s National 0.406307 healthy behaviors– 0.504772 small percentage 0.396354 CDC study 0.408224 moderate alcohol consumption 0.482857 Disease Control 0.406222 healthy lifestyles 0.48408 Mortality Study 0.492231 Nutrition Examination Survey 0.638673 U. S. population 0.460239 researchers 0.334649 study period 0.406879 American Journal 0.396923 greater adoption 0.386866 significant progress 0.382539 National Health 0.479928 regular physical activity 0.657408 intensity physical activity 0.470459 HUMAN SERVICES 0.389713 healthy lifestyle behaviors 0.843476 moderate intensity 0.406644 Centers 0.319105 healthy behaviors 0.986508	moderate drinkers 0.403036 survey participants 0.390812 alcohol consumption 0.49985 regular exercise 0.404846 percent 0.492392 low-risk health behaviors 0.595255 excessive alcohol 0.403552 U.S. DEPARTMENT 0.389816 smoking 0.361294 causes 0.336885 public health communities 0.45811 public health 0.471118 All-Cause Mortality 0.422739 Mexican-Americans 0.32115 CDC’s efforts 0.399459 cardiovascular disease 0.394639 R. Frieden 0.405919 people 0.458448 substantial gain 0.385484 mortality follow-up 0.412941 NHANES 0.330523 Survey III Mortality 0.412449 2010 Dietary Guidelines 0.4699 large percentage 0.397348	CLICK HERE
7243	Centers for Disease Control and Prevention	Html	en	CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0340	The objective of this study was to investigate changes since 2000 in the percentage of adults who reported receiving smoking cessation advice from their HCP and to examine correlates of receiving advice.	tobacco use cessation 0.472545 data 0.467939 Cancer Control Supplement 0.616227 relevant financial relationships 0.556604 AMA PRA credit 0.458953 AMA PRA 0.520339 Erica Frank 0.480265 smoking cessation rates 0.533059 NHIS survey response 0.465317 National Health Interview 0.824118 Preventing Chronic Disease 0.458221 current smokers 0.510221 health insurance type 0.470827 Disease Control 0.564512 smoking cigarettes 0.477459 CME activities 0.457516 Dr. Kruger 0.465719 smoking status 0.479481 CME activity 0.491661 health care providers 0.506155 Morb Mortal Wkly 0.484435 higher cessation rates 0.488597 Health Interview Survey 0.816972 British Columbia 0.498731	Jennifer Kahende 0.477814 cessation attempt rates 0.490776 Judy Kruger 0.479371 CME credit 0.471463 HCP advice 0.5009 HCP cessation advice 0.552021 physician-provided smoking cessation 0.531964 smoking cessation advice 0.951871 Public Health 0.533783 AMA PRA Category 0.506597 United States 0.519618 Journal-based CME activity 0.481629 MMWR Morb Mortal 0.484439 cigarette smoking 0.498845 community health promotion 0.463515 Mortal Wkly Rep 0.481859 journal CME activity 0.481425 Public Health Analyst 0.493678 care provider advice 0.480485 Continuing Medical Education 0.468953 physician advice 0.495213 annual National Health 0.476075 Lauren Shaw 0.477161 Public Health Service 0.508779	CLICK HERE
9903	Centers for Disease Control and Prevention	Html	en	Stopping a Salmonella Outbreak among Infants in a Nursery	null	disease detectives 0.411046 illnesses 0.236103 field gel electrophoresis 0.61399 mom 0.24444 FoodCORE investigator 0.45813 state partners 0.400138 recommendations 0.264325 South Carolina Bureau 0.601536 Salmonella infection 0.841508 combined approach 0.406982 little girl 0.421021 review 0.235438 laboratory results 0.425582 DNA fingerprinting 0.422183 stools 0.251615 environmental health inspector 0.599041 carefully washing hands 0.583267 FoodCORE Team 0.418037 diaper changes 0.440973 regional epidemiologist 0.415648 diarrhea 0.32567 old girl 0.447889 original cases 0.414455 pediatrician 0.254596 condition 0.242803	nursery 0.397658 Additional laboratory testing 0.599615 parents 0.239865 Salmonella bacteria 0.559866 South Carolina coast 0.677746 sick infants 0.551236 quaint town 0.475896 South Carolina 0.919415 identical strain 0.430735 signs 0.242733 overall hygiene practices 0.575614 swift investigative collaboration 0.570702 Thanks 0.242014 course 0.237779 stool sample 0.456546 old boy 0.430192 multidisciplinary team 0.410394 diaper changing 0.44655 handwashing procedures 0.412708 blood 0.242715 doctor 0.240987 little boy 0.425371 formula preparation 0.410931 Salmonella Outbreak 0.572304	CLICK HERE
10858	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Effect of Personal Characteristics on Individual Support for Indoor Smoke-Free Air Laws, Indiana, 2008 - CDC	Policy makers should understand the attitudes and beliefs of their constituents regarding smoke-free air legislation. The purpose of this study was to evaluate the effect of selected personal characteristics on attitudes and beliefs about secondhand smoke in Indiana and on support for smoke-free air laws.	indoor smoke-free air 0.267125 community smoke-free air 0.30256 comprehensive smoke-free air 0.243023 logistic regression analyses 0.203613 SHS laws 0.254202 smoke-free workplaces 0.210193 smoke-free law 0.206479 public support 0.200732 smoking 0.236449 smoke-free air laws 0.795095 public health 0.218704 SHS 0.302068 SHS exposure policies 0.223917 smoke-free air law 0.234394 worksite smoke-free air 0.255463	smoke-free air policies 0.377223 smoke-free bar law 0.21357 health 0.262453 clean indoor air 0.27217 statewide smoke-free air 0.24874 smoke-free air act 0.244743 SHS exposure 0.261562 county smoke-free air 0.258522 smoke-free air 0.982273 policy makers 0.231911 smoke-free air legislation 0.618092 support 0.201028 smoke-free air ordinances 0.245745 health effects 0.220539	CLICK HERE
12121	Centers for Disease Control and Prevention	Html	en	Interim Guidance for Preparing Frontline HealthcareFacilities for Patients with Possible Ebola Virus Disease | EbolaHemorrhagic Fever	null	Ebola treatment hospital 0.330684 public health authorities 0.351119 public health departments 0.297395 hospital/facility infection control 0.301732 state-designated Ebola assessment 0.330292 state 0.341132 CDC guidance documents 0.28226 Ebola preparedness plans 0.358104 Ebola diagnosis 0.341341 CDC’s guidance 0.32524 state health authorities 0.282074 patients 0.335119 epidemiologic factors 0.290516 ebola virus disease 0.504604 ebola assessment 0.595558 EVD 0.384547 ebola treatment 0.48253 local health authorities 0.307434 state/local health department 0.293328 frontline healthcare facility 0.427009 Ebola patients 0.328709 acute care facilities 0.271663 Ebola assessment hospital 0.531737 health authorities 0.378758 Preparing Ebola Assessment 0.355576	Ebola virus testing 0.345128 PPE 0.34296 Emergency Department Evaluation 0.307004 infection control 0.34442 closest Ebola assessment 0.332218 Confirmed Ebola Virus 0.356575 frontline healthcare facilities 0.99016 PPE guidance 0.299594 frontline facilities 0.279036 ebola treatment centers 0.442922 Preparing Ebola Treatment 0.353962 patient 0.329724 local health departments 0.350821 Ebola preparedness efforts 0.338429 ebola assessment hospitals 0.524518 Ebola treatment center 0.43773 Ebola Virus Exposure 0.337916 Interim Guidance 0.285192 local public health 0.468708 relevant exposure 0.274657 low likelihood 0.291208 Ebola testing 0.364601 PPE supplies 0.289762 EVD testing 0.300197	CLICK HERE
12239	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Temporal Trends in Fast-FoodRestaurant Energy, Sodium, Saturated Fat, and Trans Fat Content,United States, 1996-2013 - CDC	Excess intakes of energy, sodium, saturated fat, and trans fat are associated with increased risk for cardiometabolic syndrome. Trends in fast-food restaurant portion sizes can inform policy decisions. We examined the variability of popular food items in 3 fast-food restaurants in the United States by portion size during the past 18 years.	national fast-food chains 0.754148 trans fat amounts 0.406603 Trans fat data 0.417742 New York City 0.372618 Saturated fat content 0.491865 fast-food chain restaurants 0.584121 fast-food items 0.417458 frequently ordered items 0.428079 final energy content 0.397498 fast-food restaurant items 0.402001 similar menu items 0.340209 energy content 0.720909 total energy content 0.363173 chain comparison 0.344927 portion sizes 0.43769 fast-food restaurant 0.440741 sodium content 0.758136 fast-food chain restaurant 0.39168 popular food items 0.350714 large-sized bundled meal 0.418609 popular menu items 0.535589 large French fries 0.537822 fast-food menu items 0.442275 trans fat content 0.810565	linear regression models 0.338007 regular cola 0.439083 individual menu items 0.432568 fast food 0.403526 fast-food restaurant portion 0.400869 tabular version 0.361931 simple linear models 0.43075 trans fat ban 0.375857 fast-food restaurant orders 0.363147 frequently ordered fast-food 0.362556 high resolution image 0.491488 Chain C. 0.343462 small French fries 0.459139 menu items 0.746381 fast-food restaurants 0.420215 food items 0.372247 Average sodium content 0.383346 portion size 0.439716 grilled chicken sandwich 0.434275 trans fat intake 0.392255 French fries 0.998691 trans fat intakes 0.480755 et al 0.368387 energy upper limit 0.441591	CLICK HERE
12825	Centers for Disease Control and Prevention	Html	en	Measles |Parent and Childcare Provider Educational Resources| CDC	null	Easy-to-read schedule 0.490248 web pages 0.479053 CDC 0.416488 vaccines 0.419802 Vaccination 0.417337 important facts 0.49662 babies 0.469649 animated 60-second video 0.548597 descriptions 0.413499 e-mail blasts 0.488304 caregivers 0.414423 U.S. 0.414587 children 0.475549 special vaccine recommendations 0.595492 Immunization Schedule 0.487953 measles vaccine 0.882867 common questions 0.490106 recommended immunizations 0.488037 power 0.414214 Little Rash 0.496887 case 0.413244	routine measles vaccine 0.865305 measles spreads 0.81018 birth 0.426667 staff 0.413357 Web page answers 0.565801 people 0.42703 steps 0.413119 YouTube 0.417504 depicts measles symptoms 0.843164 childcare providers 0.484092 help 0.415975 health problems 0.487395 child care center 0.549312 Web page 0.663195 FAQ 0.415351 vaccine-preventable diseases 0.493062 Infographic highlights 0.483877 U.S 0.415321 measles 0.990654 facility 0.413216 MMR vaccine 0.53601	CLICK HERE