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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
4729	Centers for Disease Control and Prevention	Html	en	Tuberculosis: General Information	Centers for Disease Control and Prevention, Division of Tuberculosis Elimination	latent TB infection 0.707995 sickness 0.306764 latent infection 0.343521 coughing 0.314744 body depend 0.331765 lungs 0.335596 TB blood test 0.545497 family members 0.331261 area 0.30647 weight loss 0.335527 DOT 0.31076 CDC. Questions 0.329168 false positive tuberculin 0.350049 symptoms 0.350617 persons 0.312918 Mantoux tuberculin skin 0.354084 care worker look 0.354683 person 0.366849 parts 0.314335 throat coughs 0.33383 night sweats 0.336124 general symptoms 0.333994 United States 0.329754 coworkers 0.306596	TB disease 0.946981 air 0.329811 kidneys 0.307598 local health department 0.406341 weakness 0.307292 patient complete treatment 0.349996 positive test 0.328267 arm 0.312239 TB infection 0.726213 drugs 0.342695 BCG vaccination 0.33398 brain 0.306936 tuberculin skin test 0.491474 people 0.40157 sneezes 0.306438 certain medical conditions 0.351301 doctor 0.312483 environment 0.306614 chest pain 0.333298 chest x-ray 0.328587 time 0.326996 TB germs 0.689672 TB blood tests 0.495629 HIV infection 0.336593	CLICK HERE
6388	Centers for Disease Control and Prevention	Html	en	Epi-X: Building a Network to Save Lives	CDC Works For You 24/7 Saving Lives - Epi-X: Building a Network to Save Lives; The Epi-X network includes epidemiologists, laboratorians, veterinarians, health officers, environmental health specialists, statisticians, pharmacologists, and other key health officials from local, state, and federal agencies. Epi-X works continuously with these partners, providing the guidance and support needed to handle a variety of health threats.	prime example 0.535587 CDC 0.421575 Epidemic Information Exchange 0.659617 infectious diseases 0.514329 real-time emergency response 0.618292 reservoirs 0.424561 peers 0.423895 current networks 0.535271 statisticians 0.428588 efficient channel 0.534183 federal government 0.511534 outbreak 0.424785 laboratorians 0.421315 Epi-X network 0.529479 early detection 0.51361 state 0.421122 new public health 0.683646 health events 0.544254 secure environment 0.520577 legitimate responsibility 0.51979 need 0.420343 pharmacologists 0.421206 sensitive information 0.52112 public health officials 0.642879 core 0.420088	public health practice 0.687871 vectors 0.423383 outbreaks 0.425595 secure communication channel 0.610584 environmental health specialists 0.658378 support 0.420743 health threats 0.548064 instances 0.424906 medical research 0.519157 epidemiologists 0.436145 veterinarians 0.422344 disease prevention 0.513927 variety 0.420701 public health professionals 0.802492 health event 0.536421 federal agencies 0.524744 disease transmission 0.51323 public health 0.927571 health officers 0.551582 social networks 0.536699 people 0.419687 way 0.422841 key health officials 0.660482 partners 0.420793	CLICK HERE
6621	Centers for Disease Control and Prevention	Html	null	Organ Systems and the Chemicals that Affect Them - Ocular Eyes	The ocular system consists of the eye and its central visual system . Light images from the outside pass through the central visual system (cornea, the lens, and fluids) to land upon the retina. The retina then generates the signals passed by the optic nerve to the brain and interpreted as vision.			CLICK HERE
7770	Centers for Disease Control and Prevention	Html	en	Foodborne Illness - Health Communication	Foodborne Illness - Gateway to Health Communication - CDC	foods 0.483001 Divide large volumes 0.483961 adult care center 0.473694 diarrheal illness 0.423437 dozen people 0.420467 Raw foods 0.430424 pregnant women 0.696071 immune systems 0.508873 cross-contaminating foods 0.41894 foodborne illnesses 0.484695 food-related infection 0.423487 contaminated foods 0.473837 liver disease 0.501824 food products 0.43535 meat processing plant 0.50305 healthy people 0.433743 raw shellfish 0.414092 foodborne illness 0.817564 food supply 0.447754 Cook foods 0.415762 contaminated meat 0.453764 unpasteurized orange juice 0.498947 internal temperature 0.484228 older people 0.507009 basic food safety 0.508269	annual summer vacation 0.47513 mild flu-like symptoms 0.481894 abdominal cramps 0.636914 national health authorities 0.484815 United States 0.528926 different foodborne diseases 0.599954 foodborne infection 0.469538 raw meat 0.513399 ground beef 0.495339 foodborne contamination 0.490611 local health department 0.927749 state health department 0.483208 Refrigerate foods 0.417756 irradiated meat 0.434009 painful abdominal cramps 0.49666 E. coli 0.416517 various bacteria 0.424598 Rinse fresh fruits 0.482055 undercooked ground beef 0.474425 unpasteurized milk 0.415527 people 0.555713 F. Eggs 0.41555 experience similar symptoms 0.477659 unsanitary conditions 0.414961	CLICK HERE
11592	Centers for Disease Control and Prevention	Html	en	CDC Ebola Surge - 2014 | Media Statement - Fact Sheet | CDC Online Newsroom | CDC	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	Ebola epidemic 0.640124 CDC Director 0.742315 CDC 0.9675 Innovating. CDC 0.72143 emergency operations 0.626838 CDC Foundation 0.718257 public health teams 0.629183 Global Disaster Response 0.590508 infection control 0.58368 health information 0.569374 health communication.  CDC 0.78542 Ebola outbreak 0.673543 world.  CDC 0.720769 infection control guidance 0.576943 sick travelers 0.573323 Emergency Operations Centers 0.589118 daunting public health 0.637228 multiple U.S. government 0.593307 single missed contact 0.583909 CDC Foundation. 0.71824 health care workers 0.674444 CDC’s history. 0.740971 public health advisors 0.611301 Emergency operations teams 0.590692	airline staff concerns 0.573513 public health 0.728375 public health organizations 0.653525 CDC staff 0.718724 World Health Organization 0.620937 U.S. health care 0.615169 laboratory networks 0.588731 health emergency response 0.632391 care systems.  CDC 0.765105 Foreign Disaster Assistance 0.582236 safe patient triage 0.581234 Assistance Response Team 0.597139 Ebola outbreaks 0.62701 CDC Atlanta headquarters 0.791083 Africa Ebola response 0.685299 West Africa 0.833582 infection control training 0.580058 incident management expertise 0.584126 international outbreak response 0.623641 Ebola patients 0.610735 suspected Ebola 0.608239 Ebola 0.694125 West African countries 0.598399	CLICK HERE
12064	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Identifying Sources of Children™s Consumption of Junk Food in Boston After-School Programs, April"May 2011 - CDC	Little is known about how the nutrition environment in after-school settings may affect children’s dietary intake. We measured the nutritional quality of after-school snacks provided by programs participating in the National School Lunch Program or the Child and Adult Care Food Program and compared them with snacks brought from home or purchased elsewhere (nonprogram snacks). We quantified the effect of nonprogram snacks on the dietary intake of children who also received program-provided snacks during after-school time. Our study objective was to determine how different sources of snacks affect children’s snack consumption in after-school settings.	consuming nonprogram snacks 0.45692 after-school program 0.475644 after-school program level 0.407762 dietary intake assessment 0.405216 foods 0.489513 daily calorie intake 0.425123 snack consumption 0.463342 significantly higher consumption 0.393325 program-provided snacks 0.685707 total calories 0.543533 School Lunch Program 0.410842 children 0.733499 after-school settings 0.462611 snack type 0.386525 Snack intake 0.417983 OSNAP intervention 0.388519 after-school snack period 0.49893 body mass index 0.385785 children’s snacks 0.475502 sugary foods 0.394631 healthful snack 0.384533 after-school time 0.387661 Smart Snacks 0.419169 after-school programs 0.636668 nonprogram snack 0.730635	Boston Public Schools 0.385997 nonprogram snacks 0.97928 National School Lunch 0.400708 after-school snacks 0.530749 study 0.411964 federal snack programs 0.413841 calorie intake 0.437473 after-school snack periods 0.464133 after-school program time 0.408545 children’s snack 0.456657 servings 0.390727 dietary intake 0.57213 healthier snack consumption 0.406629 program-provided snack 0.476077 sugar-sweetened beverages 0.662829 nutritional quality 0.393211 Care Food Program 0.408737 after-school snack 0.562665 salty snacks 0.466784 added sugars 0.462761 after-school snack programs 0.481856 after-school program directors 0.412476 snack foods 0.399188 federal snack reimbursement 0.414202	CLICK HERE
12216	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Measles Transmission at a DomesticTerminal Gate in an International Airport - United States, January2014	Jared S. Vega, JD1, Miguel Escobedo, MD1, Cynthia R. Schulte2, Jennifer B.	Measles transmission 0.570662 domestic terminal 0.493663 York State Department 0.567798 epidemiologic assessments 0.465717 4Wisconsin Department 0.448954 unvaccinated persons 0.450737 multiple health departments 0.604424 Susan A. Lippold 0.635135 Jared S. Vega 0.905743 Zoonotic Infectious Diseases 0.568679 Joanna J. Regan 0.630435 measles-endemic areas 0.443456 National Center 0.445271 patients 0.455188 4-hour layover 0.502027 Rachel Wiseman 0.478421 domestic gate 0.573595 4-hour period 0.496615 terminal gate 0.508655 U.S. international airport 0.642191 Corresponding author 0.442139 gate area 0.487247 susceptible travelers 0.448176 Jennifer B. Rosen 0.619595	possible cluster 0.491146 predominant strain 0.464545 United States 0.650971 laboratory-confirmed measles cases 0.789861 State Health Services 0.570338 travel venues 0.441087 Miguel Escobedo 0.477345 departure gate 0.491196 5Texas Department 0.448761 unvaccinated man 0.937988 potential exposure 0.442564 important way 0.440926 flight itineraries 0.474213 source case 0.446807 Author affiliations 0.472728 international terminal 0.450962 domestic flights 0.465379 Global Migration 0.440744 Patient 0.48608 Stephanie Schauer 0.485399 York City Department 0.568782 Cynthia R. Schulte 0.629284 available information 0.448232 rash onset 0.889601	CLICK HERE
12961	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Reach of Supplemental Nutrition Assistance Program"Education (SNAP"Ed) Interventions and Nutrition and Physical Activity-Related Outcomes, California, 2011"2012 - CDC	Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention.	data 0.502615 CHIS participants 0.487532 census tracts 0.94557 vegetable consumption 0.533715 SNAP-Ed intervention site 0.473055 high-reach census tracts 0.642003 teenagers 0.511807 intervention reach 0.697626 low-reach census tracts 0.630721 children 0.55591 SNAP–Ed-eligible census tracts 0.551054 Supplemental Nutrition Assistance 0.522959 Health Policy Research 0.494199 CHIS data 0.489252 program-eligible census tracts 0.532066 Health Interview Survey 0.526815 Nutrition Assistance Program–Education 0.525758 USDA demonstration projects 0.477231 Hunger-Free Kids Act 0.523492 SNAP–Ed interventions 0.679164 Nutrition Education 0.485298 no-intervention census tracts 0.721587 SNAP–Ed eligible CHIS 0.489065 California Department 0.48641 Obesity Prevention Branch 0.566599	Public Health 0.488759 study 0.472571 fast food 0.806368 United States 0.50662 adults 0.569766 no-reach census tracts 0.528375 California Health Interview 0.529521 Assistance Program–Education interventions 0.484731 CHIS 0.542105 low-income census tracts 0.530859 CHIS questionnaire 0.486296 dependent variables 0.500751 sugar-sweetened beverages 0.516013 sugar-sweetened beverage consumption 0.490236 CHIS interview data 0.477204 SNAP–Ed intervention reach 0.52221 SNAP–Ed intervention 0.564677 CHIS data collection 0.472093 physical activity 0.753727 California census tract 0.492056 obesity epidemic 0.475045 fast food consumption 0.585783 moderate reach 0.467592 presumed SNAP–Ed intervention 0.483864	CLICK HERE
14085	Centers for Disease Control and Prevention	Html	en	Preventing Falls: A Guide to Implementing Effective Community-Based Fall Prevention Programs | Home and Recreational Safety | CDC Injury Center	null	CDC 0.225704 document 0.221595 questions 0.220616 tips 0.221333 capacity 0.221296 evaluation 0.221891 program planning 0.309188 Develop Community-based Fall 0.444295 guidelines 0.222018 evidence-based fall prevention 0.476691 useful tool 0.318643 building blocks 0.31713 results 0.221154	guide 0.271127 development 0.221954 implementation 0.221929 Older Adults 0.308894 resources 0.243532 community-based organizations 0.330393 revision 0.223885 older members 0.307953 examples 0.221395 partners 0.220868 future 0.220359 fall prevention programs 0.93429 organization’s ability 0.306139	CLICK HERE
14300	Centers for Disease Control and Prevention	Html	en	Autism: Why Act Early? | CDC Features	If you’re concerned about your child’s development, don’t wait. You know your child best. Use a developmental milestones checklist, talk with your child’s doctor, and call your local early intervention program.	early intervention program 0.747192 good outcome 0.402311 rules 0.320927 make real progress 0.495824 Kansas mom 0.409577 things 0.342488 action 0.339197 best chance 0.400331 talk 0.32215 early age 0.40872 high-functioning son 0.403203 brain plasticity 0.402548 regular classroom 0.398236 developmental milestones checklist 0.523441 early intervention services 0.562869 Pennsylvania clinical psychologist 0.494669 typical development 0.397248 local early intervention 0.589963 older children 0.414659 child communicate 0.41251 child 0.53233 parents 0.320228 maximal potential 0.406389 neural circuits 0.401537 Autism Spectrum Disorder 0.875695	n’t wait 0.450691 earlier developmental delays 0.489456 young child 0.409449 Florida teenager 0.502087 life 0.34243 world 0.340615 Florida dad 0.406434 special education 0.399439 Florida brother 0.402995 Florida mom 0.405438 relationship 0.320178 appropriate therapy 0.400126 difficult behaviors 0.405536 big difference 0.427776 special needs 0.394414 early intervention 0.964315 Georgia pediatrician 0.407719 families 0.339713 developmental path 0.408978 doctor 0.346259 Maryland mom 0.422485 future 0.338997 instincts 0.323157 time 0.320155	CLICK HERE