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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
4726	Centers for Disease Control and Prevention	Html	en	How To Clean and Disinfect Schools To Help Slow the Spread of Flu	CDC Centers for Disease Control and Prevention Influenza Flu - cleaning and disinfecting are part of a broad approach to preventing infectious diseases in schools.	general household 0.450164 safe level 0.460407 eye protection 0.445583 objects 0.572399 infectious diseases 0.476518 no-touch waste baskets 0.569777 standard precautions 0.457247 bleach solutions 0.446263 kills germs 0.792993 disinfecting practices 0.700216 room air deodorizers 0.58676 separate procedure 0.440899 Flu viruses 0.481385 germs 0.944647 public health standards 0.601511 disposable items 0.443757 stated length 0.442667 high absenteeism 0.462896 ammonia cleaners 0.43954 body fluids 0.45801 label directions 0.581752 faucet handles 0.45982 instructional materials 0.442242 extra cleaning 0.4749 product labels 0.439892	surface wet 0.446076 custodial staff 0.440786 Pay close attention 0.757847 Special cleaning 0.477984 electronic items 0.447438 routine cleaning 0.487394 clean surfaces 0.559525 flu outbreak 0.485095 flu virus 0.476979 hands-on learning items 0.591337 chlorine bleach 0.444195 disinfectants 0.441407 surfaces 0.76587 broad approach 0.481648 similar waste 0.447579 removes germs 0.807773 EPA-registered product 0.445174 flu 0.505508 Standard procedures 0.455433 specific areas 0.462281 waste baskets 0.654526 standard cleaning 0.476938 certain period 0.441167 daily sanitizing surfaces 0.682584	CLICK HERE
6804	Centers for Disease Control and Prevention	Html	en	MMWR Recommendations and Reports: Past Volumes (1990 - 2011)	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	MPEG 0.276361 PDF 0.201634 PPT 0.326381	email address 0.716575 DOC 0.270026 different file formats 0.90859	CLICK HERE
8022	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Evaluation of the DiabetesHealth Plan to Improve Diabetes Care and Prevention - CDC	Investigators from the University of California, Los Angeles (UCLA), and members of the leadership and data analysis teams at UnitedHealthcare (UHC) are partnering to evaluate the Diabetes Health Plan (DHP), an innovative disease-specific insurance product designed by UHC specifically for patients with prediabetes or diabetes.	diabetes prevention 0.484495 health insurance 0.532085 follow-up minus baseline 0.463033 Human Services 0.49054 medication adherence 0.433783 value-based insurance design 0.44644 DHP enrollment 0.598997 UCLA research team 0.42224 research team 0.44741 risk factor control 0.41792 Disease Control 0.510345 David Geffen School 0.463975 DHP programs 0.596062 data analysis teams 0.51749 patients 0.479685 Affordable Care Act 0.492851 Internet-based communication 0.41407 value-based insurance 0.513322 employer groups 0.508581 quasi-experimental design 0.531109 health insurance exchanges 0.441585 study 0.429514 United States 0.470658 telephone coaching 0.416771 DHP 0.959587	diabetes care 0.600715 Diabetes Health Plan 0.693479 value-based insurance designs 0.422778 DHP components 0.63268 public health stakeholders 0.539626 health care 0.453007 DHP employers 0.642412 non-DHP groups 0.426162 diabetes incidence 0.528149 health insurance options 0.445131 adherence 0.438187 diabetes-specific care management 0.43745 secular time trends 0.4606 value-based insurance option 0.418425 UHC insurance products 0.458672 insurance products 0.463149 innovative disease-specific insurance 0.432614 diabetes management 0.506536 multifaceted diabetes care 0.551045 health plan data 0.457343 Public Health Service 0.431484 value-based insurance products 0.425104 Los Angeles 0.549892 diabetes 0.766589	CLICK HERE
9238	Centers for Disease Control and Prevention	Html	en	Immigrant, Refugee, and Migrant Health - Health Communication	Immigrant, Refugee, and Migrant Health - Gateway to Health Communication - CDC	refugees 0.872275 infectious diseases 0.403782 family arrive 0.305765 St. Paul help 0.364528 follow-up tests 0.292922 public health problems 0.421604 local health systems 0.403559 physicians 0.236375 Disease Control 0.300569 children 0.235505 rubella 0.223508 health department staff 0.377805 health conditions 0.31713 new American home 0.365432 certain infectious diseases 0.382373 greater risk 0.307047 wife 0.234917 tuberculosis 0.29017 medical examination 0.483478 medical examinations 0.292896 treatment Mae Rae 0.439083 disease screening 0.294951 new home 0.286565 United States 0.908413 US-born populations 0.31265	Thailand 0.256198 different health problems 0.41593 burden 0.246131 Burmese refugees 0.433323 local health department 0.3812 African countries 0.307828 world 0.261951 treatable diseases 0.304076 local health 0.475043 local health departments 0.386462 health care 0.386865 treatment protocols 0.298493 viral hepatitis 0.311151 requirements 0.236269 Mae Rae 0.770817 Mae Sot refugee 0.431923 St. Paul 0.526622 Global Migration 0.299525 newly-arriving populations 0.296721 newly arriving immigrants 0.649561 different regions 0.300594 CDC medical screening 0.388012 follow-up care 0.297328 inadmissible health-related conditions 0.384444	CLICK HERE
9769	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | The Physical and Mental Health of Head Start Staff: The Pennsylvania Head Start Staff Wellness Survey, 2012 - CDC	Despite attention to the health of low-income children in Head Start, little is known about the health of adults working for the program.	education 0.458771 child care centers 0.444169 data 0.443956 mental health 0.545083 Head Start Association 0.501719 similar sociodemographic characteristics 0.483696 Risk Factor Surveillance 0.454411 Temple University 0.444476 Head Start teacher 0.479775 National Health Interview 0.477435 physical health indicators 0.452856 head start staff 0.827647 poor health status 0.466884 children 0.454469 national sample 0.483854 education level 0.452731 school readiness 0.444241 health care access 0.489518 early childhood care 0.487259 family service workers 0.445333 Health Interview Survey 0.479671 health status 0.472488 Pennsylvania Head Start 0.555799 Start Staff Wellness 0.488238	early childhood 0.515779 survey 0.483747 Behavioral Risk Factor 0.453855 staff’s health 0.459018 national samples 0.498296 health indicators 0.495525 highest education level 0.44991 Early Head Start 0.713468 prevalence 0.470928 child care 0.460442 web-based survey 0.453847 marital status 0.448963 early childhood education 0.456267 early childhood workers 0.444626 Head Start 0.940917 health 0.599212 physical activity 0.45261 head start programs 0.629105 national prevalence estimates 0.444518 early childhood staff 0.450995 physical health conditions 0.59438 mental health conditions 0.469789 work absences 0.457597 Head Start managers 0.482416	CLICK HERE
10661	Centers for Disease Control and Prevention	Html	en	Carbon Monoxide Dangers in Boating - NIOSH Workplace Safety and Health Topic	null	propulsion engines 0.762001 death 0.246 engine exhaust 0.54996 trained technicians 0.44795 areas 0.273529 Interior 0.250737 family member 0.457552 assistance 0.25068 battery 0.245472 measurement 0.249412 research 0.24726 Occupational Safety 0.502237 states 0.246215 Department 0.250795 boating-related poisonings 0.91003 exhaust vents 0.567559 houseboats 0.488425 initial investigation 0.78681 epidemiologic data gathering 0.777047 National Institute 0.500484	Stay 0.244178 medical help 0.458278 exhaust system maintenance 0.545401 National Center 0.446223 summary 0.247315 dangerous concentrations 0.514059 Environmental Health 0.444347 NIOSH 0.276594 Schedule regular engine 0.644384 hazardous CO concentrations 0.544812 poisonings 0.960292 exposures 0.269613 National Park Service 0.758401 marine environment 0.469457 U.S. Coast Guard 0.756737 Lake Powell 0.50228 generators 0.249562 visitor 0.250298 detector 0.252589 employee carbon monoxide 0.776616	CLICK HERE
10892	Centers for Disease Control and Prevention	Html	en	Preventing Norovirus Infection	Ways to prevent norovirus infection	stool 0.51266 cash register 0.525946 Downloadable posters 0.530283 state health departments 0.660688 American Chemistry Council 0.646656 wear rubber 0.531316 Cook oysters 0.544343 —a virus 0.547673 Registered Antimicrobial Products 0.651147 language-neutral pictogram version 0.650351 las infecciones 0.563613 different physiochemical properties 0.658071 Water Quality 0.536501 symptoms 0.447518 National Environmental Health 0.65865 contaminated food 0.736691 FCV 0.523353 Environmental Protection Agency 0.653112 Health Council 0.542902 Somerset County 0.530801 items 0.456723 soap 0.452003 household bleach 0.545099 sick infants 0.584047 United States 0.693407	cause 0.443499 disease outbreaks 0.728779 different duties 0.535642 vomit 0.470431 norovirus 0.578356 norovirus illness 0.572748 quick steaming 0.547575 chlorine bleach solution 0.666234 Clean Hands 0.564361 Environmental Health Department 0.657846 food safety practices 0.935633 food workers 0.565643 hand washing 0.562023 specific cleaning agent 0.643843 feline calicivirus 0.539248 EPA). 0.537858 disposable gloves 0.525068 maximum available cycle 0.636468 efficacy 0.456494 noroviruses 0.486884 shellfish 0.458209 short video 0.549719 Alcohol-based hand sanitizers 0.683101 sick workers 0.58294	CLICK HERE
10944	Centers for Disease Control and Prevention	Html	en	Preventing Skin Cancer by Reducing Indoor Tanning	CDC scientists published two papers to discuss ways to reduce indoor tanning and prevent future cases of skin cancer.	Cancer Through Reduction 0.399234 skin cancer 0.807758 high school 0.479343 Perna FM 0.392592 Sampson BP 0.482254 salons 0.337007 Seidenberg AB 0.485417 Guy GP Jr 0.610041 future cases 0.400755 Dawn Holman 0.408341 prevention 0.331613 Fox KA 0.475987 Preventing skin cancer 0.463607 State laws 0.389549 future opportunities 0.472238 American Journal 0.569733 short time 0.385574 Glenn JD 0.384371 Geller AC 0.387329 white women 0.392755 beds 0.493412 Reduce Indoor Tanning 0.657208 current research gaps 0.621125 Sinclair 0.330984 U.S. FDA 0.384296	papers 0.335329 current evidence 0.465999 current trends 0.403126 states 0.330497 times 0.332136 paper 0.333669 indoor tanning— 0.401774 public health 0.493419 special issue 0.40274 Meg Watson 0.401478 CDC scientists 0.404075 new regulations 0.385059 high school students 0.463686 indoor tanning 0.985438 risk factor 0.394509 people 0.352101 municipalities 0.334221 public health problem 0.483887 Recent changes 0.388922 Preventive Medicine 0.579731 Strategies 0.331707 Holman DM 0.486837 public health action 0.467841 possible ways 0.394397	CLICK HERE
13123	Centers for Disease Control and Prevention	Html	en	Invasive Cancer Incidence - Puerto Rico, 2007-2011	Mary Elizabeth O'Neil, MPH1, S. Jane Henley, MSPH1, Simple D. Singh, MD1, Reda J.	female breast cancer 0.414913 U.S. non-Hispanic whites 0.395481 invasive cancer incidence 0.464676 Puerto Rico Cessation 0.456694 Age-adjusted incidence rates 0.430537 incidence data 0.415234 Puerto Rico cancer 0.470023 age-adjusted incidence rate 0.417821 Central Cancer Registry 0.458621 Mary Elizabeth O'Neil 0.376729 Rico municipality incidence 0.472379 U.S. Cancer Statistics 0.400695 cancer incidence rates 0.645156 bronchus cancer incidence 0.439562 prostate cancer incidence 0.505804 overall cancer incidence 0.435642 similar incidence rates 0.420848 rectum cancer incidence 0.453932 U.S. overall population 0.406098 cancer incidence trends 0.450026 incidence rates 0.757416 cancers 0.377551 U.S. non-Hispanic blacks 0.39592 higher incidence rates 0.426416 U.S. standard population 0.375473	Puerto Rico 0.900782 Rico Central Cancer 0.523246 Puerto Rico Central 0.5581 cancer incidence rate 0.471711 Annual incidence rates 0.433844 breast cancer rates 0.384563 Puerto Rico municipalities 0.450912 National Cancer Institute 0.375239 Cancer Registries incidence 0.457081 annual incidence rate 0.426275 highest cancer incidence 0.455713 highest incidence rate 0.410174 Cancer Registries data 0.389776 central cancer registries 0.466176 high incidence 0.400524 U.S. Hispanic incidence 0.426389 U.S. population 0.448171 total U.S. population 0.377233 all-sites cancer incidence 0.440584 cancer site 0.386475 Puerto Rican residents 0.435431 breast cancer incidence 0.467353 Thyroid cancer incidence 0.452293 cancer incidence 0.788184	CLICK HERE
15472	Centers for Disease Control and Prevention	Html	en	Human Papillomavirus-Associated Cancers - United States,2008-2012 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	9-valent HPV vaccine 0.499371 U.S. standard population 0.381004 ICD-O-3 histology codes 0.508237 anatomic sites 0.422556 specific cell types 0.372832 HPV vaccination 0.370818 United States 0.380263 site code C20.9 0.36299 HPV vaccination programs 0.359462 squamous cell cancers 0.450969 oropharyngeal cancers 0.382546 HPV types 0.759929 population-based cancer registries 0.578019 site codes C60.0–60.9 0.36434 ICD-O-3 site 0.579106 site codes C51.0–C51.9 0.364398 squamous cell 0.584402 additional HPV types 0.404601 future HPV-attributable cancers 0.37591 ICD-O-3 site code 0.575502 ICD-O-3 site codes 0.56144	high-risk HPV types 0.36431 HPV-associated cancer 0.386079 end results program 0.517279 9-valent HPV vaccines 0.421281 site code C52.9 0.36322 HPV DNA presence 0.365673 cervical cancer screening 0.416907 HPV-attributable cancers 0.396033 site codes C01.9 0.364159 HPV DNA 0.510788 cervical cancers 0.461524 squamous cell carcinomas 0.381719 HPV-associated cancers 0.913486 National Program 0.367286 available HPV vaccines 0.362676 HPV vaccines 0.522164 specific anatomic sites 0.377802 site code C21.0–C21.9 0.363047 oncogenic HPV types 0.448584 cancer incidence 0.396304	CLICK HERE