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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
4931	Centers for Disease Control and Prevention	Html	en	Bats and Rabies - Rabies	Bats play an important role in ecosystems; but they are often misunderstood. Learn more about bats and rabies; but be safe; never handle a bat.	damage 0.465151 habits 0.461077 seed 0.462838 crops 0.467854 birds 0.45418 rodents 0.473284 bats 0.963153 local populations 0.693476 bat 0.531578 unique mammals 0.693011 best protection 0.678994 plants 0.459497 things 0.454583 value 0.453806	rain forests 0.733756 development 0.45551 key roles 0.723571 rabies 0.736296 insects 0.468589 people 0.454823 blood 0.4524 Studies 0.455806 navigational aids 0.704316 deserts 0.480963 globe 0.466083 species 0.454979 farms 0.460773 ecosystems 0.471769	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
8075	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Hospital Outbreak ofCarbapenem-Resistant Klebsiella pneumoniae Producing New DelhiMetallo-Beta-Lactamase - Denver, Colorado, 2012	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.	NDM-producing CRE 0.980458 transmission sites 0.615142 mmwrq@cdc.gov. 0.614053 CRKP infection 0.62001 Public Health 0.803985 Colorado Department 0.708463 United States 0.688042 original MMWR paper 0.678763 U.S. Government Printing 0.676013 Human Services 0.678887 Medical records 0.61176 multiple transmission events 0.694124 assistive technology 0.611347 respiratory specimen 0.60185 largest U.S. outbreak 0.697225 U.S. Department 0.676126 MMWR HTML versions 0.671832 active surveillance cultures 0.846118 Erin Epson 0.667441 Epidemiologic tracing 0.605576 Healthcare Quality Promotion 0.670037 Michelle Barron MD 0.685507 electronic PDF version 0.671961	Sarah Jackson Janelle 0.668399 microbiology records 0.600439 Zoonotic Infectious Diseases 0.670406 NDM-producing CRKP 0.707334 respiratory specimens 0.606976 Colistin minimum inhibitory 0.686005 acute-care hospital 0.620162 different units 0.604824 epidemiologic characteristics 0.61517 subject line 0.611839 patients 0.642506 Contact GPO 0.604972 direct overlap 0.608839 transmission routes 0.605639 medical care 0.758811 timely active surveillance 0.674617 CRKP identification 0.613081 infection control measures 0.852292 Initial isolates 0.706911 original paper copy 0.665526 New Delhi metallo-beta-lactamase 0.689 Infectious Diseases 0.680026 pulsed-field gel electrophoresis 0.683645	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
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
15358	Centers for Disease Control and Prevention	Html	en	Diabetes Topics Associated With Engagement on Twitter	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.	Twitter account 0.487801 public health researchers 0.518144 Twitter user types 0.495362 public health practitioners 0.490565 health information 0.529087 tweets 0.671352 Health Promot Pract 0.477885 mark tweets 0.50817 Twitter user characteristics 0.565662 multiple tweets 0.503096 Twitter retweet function 0.485561 time tweet 0.510019 social media engagement 0.524214 tweet classification 0.511044 diabetes tweet topics 0.560917 single tweet 0.527337 Twitter user type 0.534508 twitteR software package 0.484948 diabetes-related health problems 0.496182 nonmedical resources 0.51579 tweet sender characteristics 0.518384 Twitter users 0.574801 Twitter user descriptions 0.495283 public health information 0.485676 tweet increases 0.510854	diabetes information online 0.481689 Twitter data 0.483034 United States 0.503064 diabetes information 0.503665 media influence health 0.480476 tweet content 0.506802 tweet text 0.506916 tweet sender 0.592157 tweet engagement 0.526345 tweet characteristics 0.516391 Tweet strategies 0.497756 social media data 0.525925 NodeXL Twitter list 0.48481 social media 0.903784 public health 0.70943 Twitter user 0.647383 tweet topics 0.609405 tweet 0.618908 Mechanical Turk 0.615411 common tweet topic 0.520268 important tweets 0.496246 example tweets 0.49863 health social media 0.49312 common tweet topics 0.546828	CLICK HERE
15597	Centers for Disease Control and Prevention	Html	en	Vaccines Pink Book Webinar Series	15 webinars that provide overview of principles of vaccination, general recommendations, strategies, and specific info about VPD and the vaccines that prevent them. Each one-hour webinar explores a chapter from the “The Pink Book.	chapter 0.337156 medical students 0.676501 Physicians 0.367959 vaccines 0.357414 Page 0.362628 Epidemiology 0.350083 general recommendations 0.541729 immunization providers 0.850172 dod paraprofessionals 0.847727 nurse practitioners 0.740686 specific information 0.536218 immunization strategies 0.756793 state 0.366782	overview 0.340881 online series 0.54113 pharmacists 0.422332 local immunization programs 0.963341 nurses 0.398848 13th edition 0.530257 Pink Book 0.521142 physician assistants 0.71861 principles 0.340771 vaccine-preventable diseases 0.836459 one-hour webinar 0.579559 webinars 0.375716	CLICK HERE
15705	Centers for Disease Control and Prevention	Html	en	Zika is in Your Area: What To Do	Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention.	mosquito bites 0.511746 Zika infection 0.512616 Zika virus 0.805527 prenatal care visit 0.672971 possible Zika virus 0.588097 pregnant women 0.672357 spray insect 0.478674 area 0.472978 red eyes 0.562544 breastfeeding women 0.488957 oral sex 0.487221 pregnancy 0.507011 EPA-registered insect repellents 0.553532 Zika travel notice 0.737451 symptoms 0.584184 Guillain-Barré syndrome 0.491477 product label 0.484746 Zika virus outbreak 0.58192 healthcare providers 0.533975 door screens 0.476028 condoms 0.503657 potential risks 0.472746 sex partners 0.493758 rare disorder 0.491401	air conditioning 0.477233 United States 0.477714 long pants 0.483578 long-sleeved shirts 0.482513 Zika virus infection 0.584166 Zika 0.985892 pre-treated items 0.491073 Pregnant couples 0.517816 couple’s situation 0.473822 nonsteroidal anti-inflammatory drugs 0.542619 CDC Zika travel 0.655133 permethrin-treated clothing 0.482938 sexual transmission 0.475833 sex 0.566848 muscle weakness 0.490552 joint pain 0.557906 birth defects 0.490233 people 0.483582 infected person 0.497701 infected mosquito 0.612353 bed net 0.481925 sex toys 0.489734 lemon eucalyptus 0.481869 risk 0.532331	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