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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
1138	Centers for Disease Control and Prevention	Html	en	Hepatitis Awareness Month and National Hepatitis Testing Day- May 2014	In the United States, May is Hepatitis Awareness Month, and May 19 is National Hepatitis Testing Day. Although care and treatment can be life-saving, many of the estimated 800,000 to 1.4 million persons living with hepatitis B virus (HBV) infection and the estimated 3 million persons living with hepatitis C virus (HCV) infection are unaware of their infection and are not receiving necessary care and treatment (1).	foreign-born persons 0.686322 endorsement 0.571254 hepatitis B virus 0.808252 Human Services 0.923111 U.S. Department 0.915427 Project ECHO model 0.798934 MMWR HTML versions 0.782569 New York City 0.79716 San Diego 0.660417 electronic PDF version 0.765866 HBV testing 0.788241 National Hepatitis Testing 0.969657 Hepatitis Awareness 0.815248 issue 0.54978 Contact GPO 0.680764 necessary care 0.693352 Broader expansion 0.655705 commercial sources 0.654833 Viral Hepatitis 0.788422 current prices 0.648173 original paper copy 0.759875 Human Services Action 0.81474 programs 0.607738 predominantly rural settings 0.783608	videoconference 0.530805 treatment 0.625412 CDC activities 0.713152 United States 0.682397 original MMWR paper 0.776638 U.S. Government Printing 0.769446 appropriate care 0.67073 HCV testing 0.75176 MMWR readers 0.664535 character translation 0.646597 HCV primary care 0.898143 hepatitis C virus 0.807177 format errors 0.648076 HCV transmission 0.725957 Health 0.571294 MMWR reports 0.678389 typeset documents 0.654932 trade names 0.654947 official text 0.64466 non-CDC sites 0.65581 HBV infection 0.820773 national prevention goals 0.801612 Minneapolis-St 0.532417 electronic conversions 0.644004	CLICK HERE
5444	Centers for Disease Control and Prevention	Html	en	2-Aminopyridine - 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
6190	Centers for Disease Control and Prevention	Html	en	Protecting children from harmful food marketing: options for local government to make a difference.	null	obesogenic marketing environment 0.264542 government-run food facilities 0.229019 foods 0.285399 promising public health 0.226378 Locally based marketing 0.225858 branded food items 0.24279 public health advocates 0.280084 food companies market 0.277984 children 0.623022 food marketing environment 0.407591 food companies 0.353368 food marketing defense 0.28595 Brownell KD 0.281497 Children’s Food 0.285974 food products 0.261333 school-based marketing practices 0.233717 obesogenic food marketing 0.296928 frequent food category 0.239146 Food Policy 0.254892 public health regulations 0.230404 likely affects children 0.232335 largest food companies 0.25232 marketing practices 0.381533 United States 0.276047 Fast food FACTS 0.231078	public health community 0.234635 nutrient-poor foods 0.28055 national media 0.239863 food service establishments 0.227539 locally based food 0.245806 food advertising increases 0.265263 money marketing calorie-dense 0.241327 Public Health Nutr 0.225519 food industry 0.39159 public health laws 0.228771 Public health professionals 0.231254 public health 0.838136 child-targeted marketing practices 0.235314 public health law 0.303109 fast-food restaurants 0.228029 children’s health 0.276021 child-targeted food marketing 0.335373 obesogenic food 0.436935 food marketing 0.918074 food marketing practices 0.380461 harmful food marketing 0.354785 television food advertisements 0.419188 childhood obesity 0.389772 food retailers 0.240716	CLICK HERE
6530	Centers for Disease Control and Prevention	Html	en	Notifiable Diseases and Mortality Tables - January 6, 2012 / 60(51);1748-1761	Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov.	provisional 4-week totals 0.635803 Mortality Tables 0.48809 equine encephalitis virus 0.558041 Mortality Weekly Report 0.486702 Viral hemorrhagic fever¶¶¶ 0.478562 provisional cases 0.59396 Hantavirus pulmonary syndrome§ 0.481432 Staphylococcus aureus§ 0.480571 New York City 0.472397 acute hepatitis 0.499779 2011-12 influenza season 0.485443 Cum 0.478135 noncholera Vibrio species 0.479573 influenza A virus 0.486854 National Center 0.542789 CDC Home CDC 0.490364 Hemolytic uremic syndrome 0.482062 California serogroup virus 0.499329 meningococcal disease 0.52074 historical data 0.52138 Influenza Division 0.476529 Ñ?ЛП Notifiable Diseases 0.515214 Cumulative year-to-date counts 0.476792 2009 pandemic 0.506521	Respiratory Diseases 0.473924 NN 0.99884 United States 0.726534 Vancomycin-resistant Staphylococcus aureus§ 0.477504 novel influenza 0.5234 I. Provisional cases 0.508082 5-year weekly average† 0.492009 notifiable diseases 0.67551 Vancomycin-intermediate Staphylococcus aureus§ 0.477293 Eastern equine encephalitis 0.487614 pandemic influenza 0.50929 Influenza-associated pediatric mortality§ 0.477714 viral hemorrhagic fever 0.473245 Western equine encephalitis 0.487274 Polio virus Infection 0.480995 Total case counts 0.473343 notifiable disease reports 0.624116 current 4-week total 0.488658 Vector-Borne Infectious Diseases 0.480187 Chlamydia trachomatis infection 0.473007 TABLE I. 0.488886 dengue hemorrhagic fever 0.475115 subsequent 4-week periods 0.484019 West Nile virus 0.479331	CLICK HERE
6624	Centers for Disease Control and Prevention	Html	null	Organ Systems and the Chemicals that Affect Them - Respiratory From the Nose to the Lungs	The respiratory system starts with the nose, nasal cavities, paranasal sinuses, nasopharynx, and larynx. It continues with a conducting segment (trachea and bronchi) that enters the lungs. transitional segment made up of respiratory bronchioles and primary, secondary, and tertiary bronchioles moves air deep into the lungs.			CLICK HERE
8606	Centers for Disease Control and Prevention	Html	en	PanFlu Storybook - Plantings	Plantings, That's the way one storyteller described his job of burying those who had died from the flu. There was a shortage of coffins and the dead had to be put in the ground as soon as possible to prevent the spread of infection. No eulogies. No choirs singing. No services. The lack of ceremony for the dead in 1918 left a lasting impression on the survivors for years to come.	coffins 0.48432 infection 0.461392 list Skip 0.87855 eulogies 0.488325 page options Skip 0.994882 storyteller 0.470532 services 0.447152 navigation Skip 0.888095 flu 0.471095	way 0.449625 lack 0.464666 spread 0.459333 survivors 0.456484 shortage 0.485019 ceremony 0.461965 job 0.449372 lasting impression 0.67606	CLICK HERE
10022	Centers for Disease Control and Prevention	Html	en	Text Messaging Guidelines & Best Practices	Basic information from CDC about breast cancer.	American adults 0.26616 CDC’s National 0.262728 phone numbers 0.293087 opt-out message 0.325033 common abbreviations 0.264358 Disease Control 0.266724 social media tools 0.312645 Information System Security 0.263642 traditional Web sites 0.299216 communications science clearance 0.316712 compelling text messages 0.372572 program resources 0.26324 Text Messaging Projects 0.407294 Chief Information Officer 0.308293 Wireless Association 0.266201 entire message 0.269559 interesting text messages 0.350171 opt-out instructions 0.371799 text messages 0.795253 New Text Messaging 0.486236 text message 0.37463 health communication activities 0.322257 mobile phone 0.311715 health communications campaign 0.315485	text messaging project 0.926827 Text messaging systems 0.400517 large portion 0.26248 Digital Media Branch 0.30994 occasional text messages 0.368247 general population 0.262273 text message programs 0.367913 target audience 0.307609 important health messages 0.356914 Health Communication Science 0.322704 mobile text 0.293353 health communications program 0.328685 Text messaging programs 0.421583 easy way 0.265237 text messaging service 0.409354 mobile Web site 0.297343 text messaging plan 0.409989 health communications 0.352526 CDC text 0.299061 160-character messages 0.293496 health marketing 0.269401 EMB staff 0.26511 Contact DMB 0.267088 larger integrated health 0.414231	CLICK HERE
13401	Centers for Disease Control and Prevention	Html	en	Case Study: Reducing Radon in Illinois	Illinois passed state laws to reduce household radon exposure.	radon problem 0.691229 group homes 0.334338 indoor radon exposure 0.786193 licensed radon professionals 0.738677 average radon levels 0.855173 Radon monitoring 0.630478 Illinois law requires— 0.441016 Control Plan 0.322895 U.S. Environmental Protection 0.461621 radon notification 0.639892 number 0.247838 accurate picture 0.316842 Illinois Comprehensive Cancer 0.431879 radon-resistant features 0.33967 state radon program 0.738385 homeowners 0.22222 home sales 0.317121 average household radon 0.736166 goal 0.234901	Agency 0.223399 test 0.219822 strategies 0.22013 liter 0.237323 radon laws 0.62614 new construction 0.319862 building types 0.327026 reporting requirement 0.323051 state laws 0.329918 radon exposure 0.946958 care centers 0.32602 schools 0.220817 household radon exposure 0.829057 EPA 0.225528 buildings 0.220012 4pCi/L 0.223309 counties 0.223209 programs 0.219903 action level 0.339334	CLICK HERE
13617	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Pneumonia Associated with an InfluenzaA H3 Outbreak at a Skilled Nursing Facility - Florida, 2014	John G. Jordan, MD1,2; Scott Pritchard, MPH2; Garik Nicholson, MPH3; Tiffany Winston, MPH2; Megan Gumke, MPH2; Heather Rubino, PhD2; Sharon Watkins, PhD2; Lea A. Heberlein-Larson, MPH4; Anna Likos, MD2.	widespread influenza activity 0.734909 outbreak investigation 0.534163 yearly vaccination 0.520306 Influenza A H3N2 0.668146 Health Protection 0.526185 infection control guidance 0.591682 influenza a h3 0.919953 vaccination status 0.615365 asymptomatic residents 0.548693 statistically significant association 0.583127 Pneumonia Associated 0.525145 active case finding 0.608275 ill residents 0.829481 Health Bureau 0.537862 extensive secondary transmission 0.56158 additional resident deaths 0.609704 Urine antigen tests 0.590255 Scott Pritchard 0.520008 frequently reported signs 0.61005 case definition 0.602499 respiratory syncytial virus 0.599308 reduced vaccine effectiveness 0.56694 1Epidemic Intelligence Service 0.578418 empirical antiviral treatment 0.596004 respiratory illness 0.521585	Public Health Laboratories 0.891804 droplet precautions 0.613837 atypical bacterial pathogens 0.584752 influenza-like illness outbreaks 0.573509 John G. Jordan 0.786264 Heather Rubino 0.52192 confirmed influenza 0.664691 health care workers 0.610839 Florida Department 0.825317 polymerase chain reaction 0.589333 influenza season 0.803323 H3 Outbreak 0.574355 long-term care facilities 0.576691 nursing facility resident 0.629728 skilled nursing facility 0.781899 influenza vaccination 0.761722 respiratory viral testing 0.605838 influenza testing 0.656487 influenza viruses 0.661326 pneumococcal vaccination status 0.612803 Oropharyngeal swab samples 0.601031 respiratory precautions 0.519605 predominant influenza virus 0.742601 unaffected residents 0.542007	CLICK HERE
15984	Centers for Disease Control and Prevention	Html	en	2013-2014 Influenza Season	Question and Answer for the general public regarding basic information about the 2012-2013 flu season - CDC	CDC 0.478478 trivalent influenza vaccine 0.466116 different flu viruses 0.578845 flu activity 0.492424 seasonal flu vaccines 0.460399 flu vaccines 0.592441 flu vaccine manufacturers 0.518172 2013-2014 flu season 0.463072 dose quadrivalent flu 0.432536 upcoming flu season 0.433102 standard dose 0.396634 quadrivalent flu vaccines 0.449354 2013-14 flu season 0.549339 flu illness 0.459883 regular flu 0.393625 seasonal flu 0.621351 recent influenza 0.374388 Seasonal flu activity 0.473112 H1N1 viruses 0.40626 Influenza Vaccine Effectiveness—United 0.484423 Traditional flu vaccines 0.451024 laboratory-confirmed influenza hospitalizations 0.395108 influenza 0.751652 severe flu outcomes 0.4437	vaccine effectiveness studies 0.36653 resistant flu viruses 0.521873 United States 0.518228 quadrivalent influenza vaccine 0.453968 severe flu illness 0.45576 flu vaccine 0.932554 H1N1 influenza viruses 0.481405 quadrivalent flu vaccine 0.578171 vaccine viruses 0.425076 influenza B viruses 0.538026 Influenza Activity 0.376275 trivalent flu vaccines 0.455556 seasonal influenza vaccine 0.540683 flu vaccine options 0.517029 trivalent flu vaccine 0.521272 CDC’s influenza 0.420849 influenza vaccines 0.415989 2013-2014 season 0.41499 seasonal flu vaccine 0.578868 flu viruses 0.687111 influenza viruses 0.521154 influenza B virus 0.36434 flu season 0.586399 CDC influenza web 0.440765	CLICK HERE