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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
5148	Centers for Disease Control and Prevention	Html	en	Illinois Activities to Prevent HAIs	null	Clostridium difficile infections 0.693368 Healthcare-associated Infections 0.529556 HAI Detection 0.625851 email address 0.637475 CDI 0.43022 navigation Skip 0.655078 recent work 0.638941 Antimicrobial Resistant HAIs 0.707955 Carbapenem-resistant Enterobacteriaceae 0.637113 Infection Prevention 0.569143 Improving Antimicrobial 0.589902 Clostridium difficile infection 0.725377 Appropriate Antibiotic 0.541422 Educational Efforts 0.529681 ACA 0.42697	list Skip 0.656946 monthly update 0.651563 Antimicrobial Stewardship 0.605808 Prevention Program 0.535487 page options Skip 0.776298 Coordinated Prevention 0.545756 ELC HAI-funded Activities 0.661113 Infection Control Assessment 0.660434 Affordable Care Act 0.616306 Decrease 0.42774 infectious disease 0.654339 Antimicrobial Resistance 0.613508 Laboratory Capacity 0.530695 CRE 0.487819 HAI Prevention Infrastructure 0.933853	CLICK HERE
8118	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | An Algorithm That IdentifiesCoronary and Heart Failure Events in the Electronic Health Record -CDC	The advent of universal health care coverage in the United States and the use of electronic health records can make the medical record a disease surveillance tool. The objective of our study was to identify criteria that accurately categorize acute coronary and heart failure events by using electronic health record data exclusively so that the medical record can be used for surveillance without manual record review.	codes 0.268674 myocardial infarction 0.451076 relevant financial relationships 0.300204 ischemic heart disease 0.257459 AMA PRA 0.257479 medical group 0.275534 heart disease prevalence 0.301729 Intelligent Medical Objects 0.269659 algorithm 0.299677 heart failure 0.81147 medical record data 0.305925 IMO terms 0.298528 Courtney Jordan Baechler 0.297331 heart diseasee 0.284483 systolic heart failure 0.383271 patients 0.262619 universal health care 0.273828 American Heart Association 0.269254 chronic disease 0.333939 manual record review 0.770947 electronic health 0.396959 unstable angina 0.316962 hospital discharge code 0.537759 electronic health record 0.378937	electronic medical record 0.338303 health record data 0.257433 heart disease treatment 0.272629 ST elevation 0.31713 ambulatory presentation 0.278852 heart disease 0.941259 acute heart failure 0.491694 public health 0.286194 acute coronary heart 0.271029 ECG 0.27 electronic health records 0.392656 health care coverage 0.274018 heart disease prevention 0.317059 Thomas E. Kottke 0.311966 medical record 0.546398 troponin level 0.337647 chest pain 0.334498 ECG data file 0.264194 chronic prevalent disease 0.31986 ICD-9-CM codes 0.266528 coronary heart disease 0.686774 medical records 0.32533 heart failure events 0.463999 normal troponin levels 0.290086	CLICK HERE
8813	Centers for Disease Control and Prevention	Html	en	Naegleria fowleri - Primary Amebic MeningoencephalitisPAM	Education and information about the brain eating ameba Naegleria fowleri that causes encephalitis and death including frequently asked questions, biology, sources of infection, diagnosis, treatment, prevention and control, and other publications and pertinent information for the public and medical professionals.	word amoeba 0.678566 ameboid trophozoite stage 0.715942 Rare Disease Act 0.713069 rare disease 0.744378 e.g. lakes 0.627153 British English 0.610308 sources 0.520633 primary amebic meningoencephalitis 0.788155 scientific genus 0.613099 soil 0.521776 body 0.521536 generic organism term 0.728596 flagellated stage 0.630094 U.S. English 0.611668 diving 0.520975 hot springs 0.629865 Naegleria fowleri 0.960967 Naegleria infections 0.727025 devastating infection 0.651736 contaminated water 0.76874 **Rare Disease 0.623051	warm freshwater places 0.742298 National Institutes 0.613834 nose 0.599041 rivers 0.546188 universal definition 0.616278 image 0.520092 warm freshwater 0.767914 brain-eating amoeba 0.716387 rare instances 0.631207 free-living microscopic ameba* 0.770576 cyst stage 0.626137 brain-eating ameba 0.63998 people 0.563849 pool water 0.624422 Acanthamoeba 0.530602 rare** 0.523358 genera names 0.613737 single-celled living organism 0.912876 Rare Diseases Information 0.71063 PAM 0.562087 Computer-generated representation 0.624732	CLICK HERE
12317	Centers for Disease Control and Prevention	Html	es	Publicaciones de NIOSH - El Estrés...En el Trabajo 99-101	null	link updated 0.461193 mala práctica 0.458144 Archivo Adobe PDF 0.427267 Archivo Microsoft 0.484475 Joseph Hurrell 0.432582 la compañía 0.489543 Medicina Ocupacional 0.469745 largo plazo 0.516163 Toni Alterman 0.431801 Linda Goldenhar 0.430063 Corporación Financiera Reliastar 0.432888 Archivo Microsoft Excel 0.426994 Salud Ocupacional 0.467442 Naomi Swanson 0.431088 trabajo americano iii 0.534395 mala salud 0.492357 Instituto Nacional 0.48375 estrés—por ejemplo 0.432814 Paula Grubb 0.431486 Archivo Microsoft PowerPoint 0.429213 salud mental 0.476166 Frederick Scharf 0.431249 Vida Nacional Noroeste 0.970353 efectos beneficios 0.429034 La Compañía Marlin 0.430101	NIOSH colabora 0.4445 Archivo Apple Quicktime 0.428315 malo necesario—que 0.428705 doce horas 0.427204 Lawrence Murphy 0.428929 Raymond Sinclair 0.430172 Anne Hamilton 0.429745 compañía manufacturera 0.460539 Archivo Microsoft Word 0.429049 condiciones problemáticas 0.445414 nocivas reacciones 0.429671 Labor Statistics 0.427061 Julie Tisdale 0.429711 mal descanso 0.429932 Janet Johnston 0.430326 facultad diera clases 0.437694 presentes problemas 0.437865 corto plazo 0.517366 llamadas causas 0.426685 La Salud Mental 0.440407 Michael Colligan 0.430905 seguridad ocupacional 0.843513 Archivo Zip Comprimido 0.428283 factores—el tamaño 0.424815	CLICK HERE
12490	Centers for Disease Control and Prevention	Video	en	ACIP Feb 2014: General Recommendations	General Recommendations on Immunization Storage and Handling of Immunobiologics, and Storage and handling. Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html This video can also be viewed at http://streaming.cdc.gov/vod.php?id=f23197a4c24f705d5d808df7088b914920140410091148154	Feb 0.772256	YouTube 0.725938	CLICK HERE
12622	Centers for Disease Control and Prevention	Video	en	Director's Briefing: SARS -- 10 Years Later	It has been 10 years since the global outbreak of SARS, which killed hundreds of people and cost tens of billions of dollars. In this Director's Briefing video, CDC Director Dr. Tom Frieden talks about how we have made progress in disease detection since SARS; however, we remain at risk from global health threats, including emerging and drug-resistant microbes. Next-generation tools like molecular sequencing and bioinformatics can help us rapidly identify and stop these killer microbes before they spread, but we must act now. Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html This video can also be viewed at http://streaming.cdc.gov/vod.php?id=d70dfef016f95fc859f98b407aa3cc6520130312132525611	Director 0.767309	SARS 0.98068	CLICK HERE
12814	Centers for Disease Control and Prevention	Html	en	Severe Brain Injury | HEADS UP | CDC Injury Center	null	normal daily activities 0.815132 relationships 0.437529 severe brain injury 0.987295 people’s lives 0.623654 person 0.4653 long-term problems 0.67163	things 0.440765 aspects 0.437995 household chores 0.701307 ability 0.457394 family 0.437396	CLICK HERE
13896	Centers for Disease Control and Prevention	Html	en	Go Green for the Holidays | CDC Features	Make sustainable holiday choices when you are shopping, traveling, sending cards, decorating, and choosing gifts. When you save energy and resources, you protect the environment and safeguard health both now and for the future.	Shop online 0.813247 local merchants 0.812125 Christmas present collecting 0.912543 natural materials 0.811707 favorite recipes 0.909612 local attractions 0.8085 lofty goal 0.825645 resource-saving activities 0.818684 shopping trips 0.812204 state cooperative extension 0.90696 reused materials 0.820998 holiday celebration 0.813979 recipe book 0.915911 holiday decorations 0.821602 usual holiday activities 0.946389 living tree 0.816494 longer lives 0.813551 sustainable planet 0.827688 battery-powered toys 0.812577 local economy 0.811455 disposable items 0.808674 environmental resources 0.829663 Buy cards 0.819302 community clean-up efforts 0.912846 greater effect 0.813132	Buy snacks 0.817211 football fields 0.816234 homemade eggnog 0.809621 washable utensils 0.808295 sustainable holiday choices 0.961883 natural products 0.922998 future generations 0.822695 winter holidays 0.834883 holiday postcards 0.808521 energy-saving items 0.81426 low-emission vehicles 0.825985 sustainable foods 0.825804 better health 0.820734 eco-friendly ways 0.813758 artificial tree 0.819708 American family 0.818591 Purchase gifts 0.827171 local theater performances 0.903845 Research sustainable food 0.895386 holiday celebrations 0.824524 organized people 0.831258 email cards 0.811503 Conserve energy 0.815056 garden items 0.809349	CLICK HERE
15450	Centers for Disease Control and Prevention	Html	en	What You Need to Know | Zika virus | CDC	Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention.	pregnancies 0.447991 semen 0.436558 condoms 0.510492 sex partners 0.580083 United States 0.621006 Zika infection 0.596731 sign 0.437893 Zika virus 0.921981 areas 0.480208 type 0.441731 fetuses 0.455707 uninfected mosquitoes 0.617411 trip 0.435271 birth defect 0.595441 talk 0.435496 area 0.504971 CDC’s guidance 0.58617 infants 0.440565	incomplete brain development 0.768789 sexual transmission 0.584816 oral sex 0.57722 sex. Zika 0.575082 pregnancy 0.477362 night 0.443387 steps 0.526217 bites 0.490856 blood 0.435244 people 0.43511 travelers 0.436193 Doctors 0.436297 symptoms 0.475307 healthcare provider 0.587559 person 0.527949 risk 0.5049 information 0.434842 time 0.472703	CLICK HERE
16071	Centers for Disease Control and Prevention	Html	en	Declines in Opioid Prescribing After a Private InsurerPolicy Change - Massachusetts, 2011-2015 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	time series analysis 0.404034 long-acting opioid prescriptions 0.684708 opioid prescribing practices 0.545583 BCBSMA 0.451456 monthly prescribing rates 0.424079 prior authorization requirement 0.405451 monthly prescribing rate 0.49957 opioid utilization program 0.802034 short-acting opioid prescriptions 0.738889 members 0.516841 prescription opioids 0.502491 opioid types 0.52823 new opioid prescriptions 0.630253 new prescription opioids 0.445527 multiple providers 0.413505 long-acting opioid prescription 0.57561 comprehensive opioid utilization 0.657454 current opioid prescriptions 0.629275 Schedule IV opioid 0.508762 pain management 0.407015 opioid use disorder 0.563177 opioid prescribing rates 0.810408 insurer opioid utilization 0.541231 chronic pain 0.411363 prescription opioid utilization 0.59941	program implementation 0.407696 United States 0.421555 opioid utilization 0.809261 dispensed opioids 0.405215 mail-order opioid prescriptions 0.654397 Cross Blue Shield 0.438922 fewer opioid doses 0.542938 prior authorization requirements 0.469243 short-acting opioids 0.464856 Prescribing Opioids 0.444163 BCBSMA prescription claims 0.434124 new prescriptions 0.454435 opioid prescriptions 0.984696 prescription claims data 0.42643 prior authorization 0.565473 average monthly number 0.396996 opioid epidemic 0.505606 frequently prescribed opioid 0.531946 opioid utilization policy 0.603959 opioid misuse 0.530415 nononcology opioid prescriptions 0.591794 opioid pain medications 0.628188 medication-assisted treatment 0.405656 opioids 0.554307	CLICK HERE