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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
8277	Centers for Disease Control and Prevention	Html	en	Severe Respiratory Illness Associated with a Novel Coronavirus - Worldwide, 2012-2013	CDC continues to work closely with the World Health Organization (WHO) and other partners to better understand the public health risk posed by a novel coronavirus that was first reported to cause human infection in September 2012 (1–3). Genetic sequence analyses have shown that this new virus is different from any other known human coronaviruses, including the one that caused severe acute respiratory syndrome (SARS) (2). As of March 7, 2013, a total of 14 confirmed cases of novel coronavirus infection have been reported to WHO, with eight deaths (4).	Arabian Peninsula 0.435967 respiratory illness 0.555174 severe acute 0.453836 United States 0.355003 original MMWR paper 0.391406 U.S. Government Printing 0.38979 adult female 0.352833 Human Services 0.383409 recent travel 0.354411 infection control 0.37652 MMWR HTML versions 0.387755 U.S. Department 0.383724 neighboring countries 0.35502 CDC Emergency Operations 0.422049 M. Novel coronavirus 0.515466 electronic PDF version 0.389276 acute respiratory syndrome 0.483289 medical condition 0.353645 index patient 0.497179 mild illness 0.379806 novel coronavirus 0.957496 novel coronavirus infection 0.93807 CDC coronavirus website 0.681158 public health risk 0.419531	local health departments 0.478592 underlying illness 0.382431 Respiratory specimens 0.413744 Genetic sequence analyses 0.403017 severe respiratory infection 0.512985 acute respiratory illness 0.483941 tract disease 0.353539 recent cluster 0.357043 World Health Organization 0.419943 adult male household 0.395915 personal protective equipment 0.388544 Contact GPO 0.357115 United Kingdom 0.354759 public health measures 0.395793 severe lower respiratory 0.489476 new virus 0.35529 severe respiratory disease 0.554899 potentially frequent updates 0.388097 original paper copy 0.385492 UK Health Protection 0.409206 human infection 0.394269 human coronaviruses 0.361747 Illness onsets 0.394174	CLICK HERE
10021	Centers for Disease Control and Prevention	Html	en	Twitter Guidelines & Best Practices | Social Media | CDC	Basic information from CDC about breast cancer.	CDC Twitter profiles 0.640314 CDC Office 0.410562 Social Media Council 0.444024 CDC’s National 0.408761 twitter posts 0.580359 new Twitter accounts 0.604728 Twitter events 0.601202 official CDC spokesperson 0.441578 Social Media Policy 0.405572 follower Twitter content 0.575585 social media content 0.420549 social media tools 0.454764 social media channels 0.390561 Media Council representative 0.435997 commonly used Twitter 0.619235 Privacy Impact Assessment 0.421874 Clear Twitter Concept 0.555337 common Twitter abbreviations 0.578788 Twitter presence 0.604297 social media effort 0.39092 CDC social media 0.462128 Twitter message 0.551866 Digital Media Branch 0.390402 Twitter activities 0.685462 Twitter 0.944085	media relations specialist 0.485778 News Media Branch 0.481995 CDC’s Privacy 0.428214 target audience 0.427386 twitter followers 0.596604 Electronic Media 0.404794 social media activities 0.400898 Twitter post 0.536068 Track Twitter Metrics 0.568835 Twitter accounts 0.645569 Twitter messaging 0.560284 Twitter messages 0.566678 CDC network 0.442232 social media 0.762314 official CDC presence 0.417591 twitter metrics 0.581008 Social Media Usage 0.401834 CDC health information 0.472374 real-time information network 0.389423 metrics intranet site 0.418506 Twitter advertising initiative 0.570838 twitter profile 0.689681 CDC OCISO 0.393817 communications clearance channels 0.41956	CLICK HERE
10056	Centers for Disease Control and Prevention	Html	en	U.S. safer when CDC works with other countries to fight infectious diseases | Press Release | CDC Online Newsroom | CDC	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	health security work 0.525104 real-time information systems 0.504824 Mortality Weekly Report 0.495198 Northern Uganda 0.49635 Uganda Ministry 0.502324 Health systems 0.47899 Respiratory Syndrome Coronavirus 0.481656 unique health challenges 0.513103 faster outbreak response 0.49774 potentially infectious samples 0.490863 infectious disease threats 0.505715 Global Health Borders 0.521768 Uganda project 0.50144 CDC-approved real-time reverse 0.476192 Disease Control 0.465415 emergency response systems 0.498345 viral hemorrhagic fever 0.484417 real-time PCR detection 0.488997 Western Pacific Regional 0.477309 polymerase chain reaction 0.475332 Vietnam project 0.469212 re-emerging pathogens 0.460856 international airport screening 0.476777	high-risk pathogens 0.468973 disease detection 0.537409 World Health Organization 0.525307 new disease detection 0.501014 Ebola virus—to measure 0.480074 Health staff 0.473266 CDC Director Tom 0.534642 Health Security demonstration 0.517384 Vietnam’s Ministry 0.486057 CDC global health 0.577774 emergency operations procedures 0.498228 public health emergencies 0.518513 CDC’s EOC 0.502725 Vietnam Ministry 0.488301 Crimean-Congo hemorrhagic fever 0.499493 meningococcal disease 0.461432 high-risk pathogen cases 0.495377 core IHR requirements 0.489807 Uganda 0.554077 International Health Regulations 0.521341 security projects 0.460703 public health preparedness 0.512779 H5N1 outbreaks 0.457171	CLICK HERE
10682	Centers for Disease Control and Prevention	Html	en	Particle Pollution	Read about the negative health effects of particle pollution — and find steps you can take to prevent them.	heart attack 0.449338 asthma management plan 0.496197 throat 0.409968 industrial facilities 0.455735 factories 0.410137 liquids 0.410736 U.S. Environmental Protection 0.49203 example 0.453095 good news 0.451007 daily activities 0.450624 Coarse 0.410591 tiny pieces 0.461702 heart disease 0.450703 particle pollution levels 0.608466 Air Quality Index 0.55146 PM2.5 0.418811 Tracking Air Quality 0.494604 AQI 0.444862 lungs 0.410844 coal fires 0.461467 trucks 0.41826 particles 0.49105 air quality 0.555842 deep parts 0.454143	primary sources 0.500354 radio programs 0.449393 different kinds 0.456444 solids 0.410345 particle pollution 0.928043 breathing 0.421965 secondary sources 0.494247 Local TV stations 0.490198 wood stoves 0.457405 people 0.417607 construction sites 0.508548 releases 0.409797 symptoms 0.428273 doctor 0.417713 cars 0.418268 power plants 0.510235 forest fires 0.462843 examples 0.409938 common sources 0.456987 PM10 0.428887 air pollution 0.513591 dry riverbeds 0.453005 PM 0.410986	CLICK HERE
11123	Centers for Disease Control and Prevention	Html	en	2008 National Report on Biochemical Indicators of Diet and Nutrition - Trace Elements: Iodine	null	adequate iodine intake 0.405257 United States 0.411279 urinary iodine concentration 0.455212 median concentrations 0.215237 iodine deficiency 0.508164 plasma mass spectrometry 0.209278 urinary iodine 0.978281 pregnant women 0.235045 adequate iodine nutrition 0.370679 iodine supplementation 0.369336 median urinary iodine 0.72422 iodine intake 0.617466 dietary iodine intake 0.41905 iodine excretion data 0.349317 Nutrition Examination Survey 0.250057 iodine level 0.312266	iodine residue 0.338817 urinary iodine concentrations 0.795327 iodine excretion 0.431523 iodine deficiency disorders 0.448633 World Health Organization 0.565467 urine iodine excretion 0.378214 iodine nutrition 0.459882 U.S. iodine intake 0.395704 urinary iodine excretion 0.429561 National Health 0.204807 Excess iodine intake 0.412074 percent confidence intervals 0.261122 Public Health Committee 0.288103 American Thyroid Association 0.351048 High iodine intake 0.412678 stable iodine intake 0.403349	CLICK HERE
11237	Centers for Disease Control and Prevention	Html	es	Tasas de cáncer de próstata por raza y grupo étnico	Comparación de casos de cáncer de próstata por raza y grupo étnico.	Archivo Apple Quicktime 0.748679 Archivo RealPlayer 0.709735 Censo P25-1130 0.838488 §Los datos 0.677218 cuántos hombres 0.764187 ¶Los datos 0.697285 Archivo Microsoft PowerPoint 0.772983 Archivo Adobe PDF 0.750751	Estados Unidos 0.980713 Archivo Microsoft 0.965721 Archivo Microsoft Word 0.770354 Archivo Texto 0.699481 potenciales diferencias 0.826777 Archivo Zip Comprimido 0.747822 razas blancos 0.892175 Archivo Microsoft Excel 0.757751	CLICK HERE
13258	Centers for Disease Control and Prevention	Html	en	No Excuses (:30)	This public service announcement addresses common excuses and misconceptions that lead people to delay or avoid getting screened for colorectal cancer.	importance 0.436546 facts 0.435444 feedback 0.435232 Health Promotion 0.583769 variety 0.473872 children 0.472272 safety 0.473679 different audiences 0.813797 public health professionals 0.946185 colorectal cancer screening 0.792073 CDC-TV videos 0.732856 misconceptions 0.448769 public service announcement 0.772329	personal reasons 0.605278 off-camera announcer 0.649993 National Center 0.594689 colorectal cancer 0.835374 common excuses 0.627001 people 0.436521 Chronic Disease Prevention 0.755902 preparedness topics 0.829739 versions 0.436452 comment 0.437197 Release Date 0.603523 parents 0.472176	CLICK HERE
13971	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Injection Safety and VaccineAdministration Errors at an Employee Influenza Vaccination Clinic -New Jersey, 2015	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). Often called 'the Voice of CDC,' the MMWR series is the agency's primary vehicle for scientific publication of timely, reliable, authoritative, accurate, objective, and useful public health information and recommendations. MMWR readership predominately consists of physicians, nurses, public health practitioners, epidemiologists and other scientists, researchers, educators, and laboratorians.	Windsor Health Department 0.559734 vaccination services 0.208071 private health care 0.20359 influenza vaccination clinic 0.628035 vaccine administration errors 0.583147 New Jersey business 0.487575 vaccine storage unit 0.372464 influenza vaccine vials 0.442082 health services company 0.918355 vaccine recipients 0.335032 vaccination errors 0.25206 health care 0.223722 employee influenza vaccination 0.503933 hepatitis B vaccination 0.203406 influenza vaccine 0.667439	New Jersey Department 0.225714 urgent care center 0.269263 hepatitis B vaccine 0.330875 vaccination site 0.208221 correct vaccine dosage 0.350056 influenza vaccinations 0.263498 unused vaccine doses 0.409055 Vaccine Adverse Event 0.376819 vaccination clinic site 0.262955 vaccine storage 0.600362 annual influenza vaccine 0.454897 New Jersey 0.620599 vaccine 0.755212 injection safety 0.262751 West Windsor Health 0.420581	CLICK HERE
15288	Centers for Disease Control and Prevention	Html	en	Pregnant Women and Flu Shots, Internet Panel Survey, United States November 2011	Findings from the Internet Panel Survey of pregnant women flu vaccination in the United States for the 2010-11 and 2011-12 flu season - CDC	follow-up internet panel 0.365047 estimated coverage 0.345874 influenza vaccination coverage 0.787991 higher vaccination coverage 0.48443 medical insurance 0.379012 Influenza vaccinations 0.410805 panel survey estimates 0.380866 Page 0.393856 influenza vaccination objectives 0.535064 severe influenza 0.413842 internet panel survey 0.48893 Pregnancy status questions 0.35986 mid-season influenza vaccination 0.518448 Gary L. Euler 0.369823 Pregnancy Risk Assessment 0.359105 pregnant women 0.950898 influenza vaccination levels 0.60328 unvaccinated pregnant women 0.44305 census region estimates 0.360572 Medical care providers 0.364182 vaccination status 0.409206 vaccination coverage levels 0.442714 2010-11 influenza season 0.439978 flu vaccination 0.428679	Healthy People 0.368343 national Healthy People 0.361035 results 0.348998 (Social Media) 0.356997 Survey respondents 0.350872 influenza season 0.467515 James A. Singleton 0.369725 internet panel surveys 0.367328 medical record review 0.35908 national influenza vaccination 0.516103 Immunization Services Division 0.369745 college health centers 0.358303 women influenza vaccination 0.561841 vaccination efforts 0.478215 influenza vaccination 0.958109 .The best way 0.369729 additional high-risk condition 0.359809 flu shot 0.402193 college degree 0.3579 State specific estimates 0.359833 useful surveillance tool 0.354748 Survey Sampling International 0.369998 current vaccination efforts 0.434925	CLICK HERE
16039	Centers for Disease Control and Prevention	Html	en	Dental Sealants Prevent Cavities - Vital Signs	Dental sealants are effective but underused protection against cavities. Start or expand programs that offer sealants to children at school	dental sealants 0.71439 dental fillings 0.208142 health department clinics 0.392247 sealants 0.843271 community dental clinics 0.260037 Help schools 0.249723 permanent molars 0.210203 local health department 0.387882 Health Insurance Program 0.261416 school-based sealant program 0.401241 higher-income children 0.214488 children 0.608536 dental sealant program 0.365592 low-income children 0.349619 Target school-based sealant 0.559724 school-based dental sealant 0.482308 cost-effective manner 0.271562 dental offices 0.263029 dental programs 0.21685 teeth 0.213425	dental treatment costs 0.270037 cavities 0.575035 dental sealant programs 0.477906 sealant programs 0.984772 local dental offices 0.258274 essential health benefit 0.248698 pediatric dental services 0.270989 dental insurance 0.203895 public health programs 0.256013 untreated cavities 0.384836 Affordable Care Act 0.246764 school-based sealant programs 0.964061 community health centers 0.532129 portable dental equipment 0.280419 Implement policies 0.26972 School-age children 0.220815 schools 0.283851 dental providers 0.333927 molar cavities 0.326846 dental hygienist 0.213046	CLICK HERE