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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
4927	Centers for Disease Control and Prevention	Html	en	Pet Risks - Rabies	A pet's exposure to rabies should be evaluated based on the pet's vaccination status; the type of animal that caused the exposure; and rabies data in the area.	CDC 0.311287 United States 0.620525 rabbits 0.229941 Bites 0.23117 case-by-case basis 0.377961 guinea pigs 0.364004 gerbils 0.237338 mice 0.231689 rodents 0.334634 local health department 0.463285 hamsters 0.234001 bat 0.235436 specific information 0.335333 ferrets 0.23516 chipmunks 0.239076 rabid animal 0.394226 animals 0.348966 rats 0.231736 specific animals 0.336746 distribution maps 0.344748 unusual manner 0.358753 area 0.259795 hares 0.237358	owner 0.232286 Unvaccinated dogs 0.375054 domestic animals 0.34393 expired vaccinations 0.378513 cases 0.309823 Marmota monax 0.367772 observation 0.232893 health department 0.499032 suspicion 0.236353 testing 0.234836 rabies surveillance data 0.721039 rabies 0.91878 strict isolation 0.377101 postexposure prophylaxis 0.377241 groundhogs 0.240035 best source 0.349758 cats 0.268724 PEP 0.233487 risk 0.229884 Woodchucks 0.250807 outbreaks 0.232133 Small mammals 0.364449	CLICK HERE
6241	Centers for Disease Control and Prevention	Html	en	Saving Lives - CDC Works For You 24/7	CDC Works For You 24/7 Saving Money Through Prevention; Safeguarding the health of Americans where they work live and play is the core of CDC?s mission. Being good stewards of America's public health investment is critical to that mission?s fulfillment.	South America 0.716341 disease detectives 0.876822 Central America 0.716401 research outbreaks 0.76998 Emory University 0.715695 CDC experts 0.8289 Ebola outbreak 0.733986 response disease outbreaks 0.847011 Disease Control 0.826827 health crisis 0.751138 Malaria Vaccine Institute 0.85929 clinical trials 0.712246 Epi-X network 0.706104 Medical Research Institute 0.814384 significant progress 0.708301 foodborne disease outbreak 0.832719 EIS officers share 0.813341 Pacific Islands 0.715531 Enhance Survival 0.705101 leading research institutions 0.81575 famous event 0.713769 Escherichia coli O157 0.803888 malaria research 0.75588 vaccine trial site 0.818956 American Heart Association 0.817913	bacteria Listeria monocytogenes 0.806586 Cardiac Arrest Registry 0.813051 Dr. Mary Hamel 0.811103 CDC malaria expert 0.940957 real-life stories 0.707625 new cases 0.720205 environmental health specialists 0.822127 entire communities 0.707772 global health sleuths 0.836548 health threats 0.735715 United States 0.938117 Drug Administration 0.705796 America′s health 0.768397 American citizens 0.716546 Southeast Asia 0.71561 local health departments 0.818672 mixed nuts 0.706492 health officers 0.734809 CDC scientists 0.84586 deadly viral disease 0.83811 key health officials 0.81648 CDC′s Epidemic Intelligence 0.8003 West Africa 0.725278 malaria candidate vaccine 0.854776	CLICK HERE
6711	Centers for Disease Control and Prevention	Html	en	Calculating reach of evidence-based weight loss and memory improvement interventions among older adults attending Arkansas senior centers, 2008-2011.	Older adults could benefit from public health interventions that address the health conditions they face. However, translation of evidence-based interventions into the community has been slow.	public health interventions 0.29835 reach 0.339934 senior center 0.334904 memory arm 0.286451 program 0.36144 Introduction Older adults 0.321447 memory intervention 0.502305 Arkansas senior centers 0.30269 senior center attendees 0.284572 lay health educators 0.340287 REACH caregiver intervention 0.308787 obese older adults 0.309512 target population penetration 0.278364 weight loss 0.464698 larger target population 0.281685 memory improvement 0.406112 behavioral weight loss 0.333571 weight loss intervention 0.423251 Medical Sciences 0.312427 programs 0.279699 Little Rock 0.285782 Older Americans Act 0.285058 study 0.346886 memory improvement programs 0.275761 memory program 0.293099	community-dwelling older adults 0.299662 lifestyle intervention 0.477366 screening process 0.329014 potential reach 0.287141 obese senior adults 0.282769 evidence-based interventions 0.282994 senior center participants 0.275511 congregate meal program 0.348935 Memory Training Intervention 0.31806 senior centers 0.927081 public health 0.328062 weight control intervention 0.301743 body mass index 0.277985 program reach 0.280026 broader target population 0.27697 memory program participants 0.286576 target population 0.689066 older Americans 0.382346 Memory Improvement Program 0.282649 Diabetes Prevention Program 0.314881 memory improvement intervention 0.361705 older adults 0.867383 Program lifestyle intervention 0.312817 lifestyle intervention criteria 0.327251	CLICK HERE
7868	Centers for Disease Control and Prevention	Html	en	Head Injuries and Bicycle Safety - Health Communication	Head Injuries and Bicycle Safety - Gateway to Health Communication - CDC	peers 0.426697 great pain 0.528079 mother 0.450209 bike helmet 0.634733 bicyclist 0.43082 children 0.719288 properly fitted helmet 0.772346 Yes. Wearing 0.53786 helmets 0.737658 sidewalk 0.42714 young daughters 0.520519 bikes 0.448347 adolescents 0.453185 kind 0.441734 stitches 0.426084 wear bicycle helmets 0.724569 Millions 0.428553 emergency department care 0.66028 older children 0.545453 prevention strategies 0.531515 tremendous guilt 0.537556 bicycles 0.425881 deal 0.44547 hearing distance 0.521897 facial scars 0.532348	father 0.484286 head injury 0.656104 bike ride 0.529383 U.S. 0.427951 national survey 0.549528 young girl 0.514342 upstairs 0.428451 helmet 0.90982 important prevention method 0.641012 teenager 0.426469 bicycle-related injuries 0.671809 younger children 0.547505 bicyclists 0.4306 confidence 0.425492 traumatic brain injuries 0.645551 Talk 0.425617 emergency departments 0.528405 cyclists 0.425577 ten-year old boy 0.628718 ages 0.428259 risk 0.425989 time 0.425859 young salesman 0.619488 age 0.426619	CLICK HERE
9227	Centers for Disease Control and Prevention	Html	en	Investigational Drug Available Directly from CDC for theTreatment of Infections with Free-Living Amebae	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.	Jennifer R. Cope 0.709069 investigational drug 0.657996 mmwrq@cdc.gov. 0.643957 primary amebic meningoencephalitis 0.778919 United States 0.747526 original MMWR paper 0.711029 granulomatous amebic encephalitis 0.780028 Human Services 0.727415 Drug Administration 0.743722 assistive technology 0.640727 treatment recommendations 0.635821 FLA infection 0.88871 U.S. Department 0.724373 MMWR HTML versions 0.714401 MMWR readers 0.622269 CDC Emergency Operations 0.826055 vitro activity 0.735192 B. mandrillaris 0.63843 FLA infections 0.864638 U.S. Government Printing 0.715975 access IND 0.63495 electronic PDF version 0.704859 miltefosine-containing regimen 0.665862	Zoonotic Infectious Diseases 0.943484 fatal infections 0.696167 timely treatment 0.647545 specimen collection guidance 0.715855 Naegleria fowleri* 0.670195 gastrointestinal symptoms 0.620196 National Center 0.732126 Acanthamoeba species.§ 0.65333 subject line 0.639351 Contact GPO 0.637088 single-patient emergency 0.627695 Acanthamoeba species infections 0.826735 free-living amebae 0.638461 miltefosine-containing treatment regimen 0.796656 FLA expert 0.774374 investigational new drug 0.7562 case reports 0.622492 Environmental Diseases 0.731795 CDC assistance 0.747101 fulminant Naegleria infections 0.83765 original paper copy 0.708568 FLA 0.901104 diagnostic assistance 0.622216	CLICK HERE
10179	Centers for Disease Control and Prevention	Html	es	Durante un terremoto|Terremotos	Information on terrorism and public health. Provided by the Centers for Disease Control and Prevention (CDC).	Archivo Apple Quicktime 0.828153 Archivo RealPlayer 0.749991 Discapacidad motora 0.736254 Archivo Microsoft PowerPoint 0.850424 containing objects that 0.828982 Archivo Adobe PDF 0.825086 cables caídos 0.748001 desnivel caídos 0.74912 Archivo Microsoft 0.999232 Archivo Microsoft Word 0.847881	Archivo Texto 0.7394 shield your 0.734071 live downstream from 0.838652 Archivo Zip Comprimido 0.827664 grab something 0.736449 fail during 0.739132 away from display 0.861249 from falling 0.76993 Archivo Microsoft Excel 0.830037 justo afuera 0.809755	CLICK HERE
11443	Centers for Disease Control and Prevention	Html	en	Prevalence and Characteristics of Sexual Violence, Stalking, and Intimate Partner Violence Victimization - National Intimate Partner and Sexual Violence Survey, United States, 2011	Matthew J. Breiding, PhD.	severe physical violence 0.313175 unwanted sexual violence 0.263417 Sexual Violence Survey 0.292333 National Intimate Partner 0.282167 case count 0.29083 non-Hispanic black women 0.291359 sexual coercion 0.325191 physical violence 0.435809 psychological aggression 0.271002 violence type 0.261305 Indian/Alaska Native women 0.307694 victims 0.416329 statistically reliable prevalence 0.296517 male perpetrators 0.279156 violence prevention 0.261874 partner violence–related impact 0.291832 female stalking victims 0.279549 sexual violence victimization 0.277116 lifetimes 0.361936 unwanted sexual contact 0.411038 non-Hispanic black men 0.260907 male victims 0.370184 survey 0.324232 women 0.510867	violence victimization results 0.261447 male stalking victims 0.304429 Pacific Islander 0.261915 United States 0.274622 contact sexual violence 0.363351 intimate partner 0.991995 male sexual violence 0.277923 physical violence behaviors 0.264558 rape 0.330076 public health burden 0.278654 partner violence victimization 0.367794 men 0.464577 physical violence victimization 0.262438 non-Hispanic white men 0.287642 sexual violence 0.859553 female victims 0.334659 perpetrator 0.3155 female sexual violence 0.276946 reliable prevalence estimate 0.27593 statistically reliable estimates 0.296454 non-Hispanic white women 0.290659 intimate partner violence 0.737094 American Indian/Alaska Native 0.380579 age 0.328476	CLICK HERE
12728	Centers for Disease Control and Prevention	Video	en	Making the Business Case for Prevention: Healthy Corner Stores (2:48)	Providing fresh fruits and vegetables is a win-win for two corner store owners in Louisville, Kentucky and their local customers. Learn how sales of healthy items are soaring in neighborhoods where store owners chose to make healthy living easier for their customers, improving community health and increasing store profits at the same time. 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://www.cdc.gov/cdctv/HealthyCornerStores/Wmv/HealthyCornerStores.wmv	Prevention 0.333701 Healthy Corner Stores 0.99192	YouTube 0.575849	CLICK HERE
12813	Centers for Disease Control and Prevention	Html	en	Responding to a Concussion and Action Plan for Coaches | HEADS UP | CDC Injury Center	null	repeat concussion 0.203845 athlete’s health 0.21219 young athlete 0.911383 medical provider 0.301482	health care provider 0.836743 concussion 0.576298 possible concussion 0.416383	CLICK HERE
14222	Centers for Disease Control and Prevention	Html	en	Making Health Care Safer | VitalSigns	CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics.	common type 0.47829 single-use catheters 0.5773 CDC 0.500361 resistant threats 0.493628 surgery-related HAIs 0.609436 infections 0.946477 ESBL-producing Enterobacteriaceae 0.479212 HAI data. https://www.medicare.gov/hospitalcompare/search.html 0.537954 prevention 0.492645 common HAIs 0.578656 HAIs 0.695561 antibiotic treatment 0.676962 extended-spectrum ß-lactamases 0.481573 certain kinds 0.4852 antibiotic-resistant bacteria 0.694533 Quality Innovation Network 0.53218 Set goals 0.473441 health care settings 0.539095 high risk 0.480168 regional prevention 0.473913 Isolate patients 0.556497 hand hygiene 0.472703 acute care hospitals 0.646809 blood stream infections 0.658736	deadly antibiotic-resistant bacteria 0.588993 healthcare providers 0.489748 antibiotic resistance patterns 0.925503 stewardship program 0.483101 methicillin-resistant Staphylococcus aureus 0.55202 healthcare-associated infections 0.622447 carbapenem-resistant Enterobacteriaceae 0.479323 stewardship programs 0.487652 C. difficile 0.851936 start antibiotics 0.570522 stewardship strategies 0.486787 critical efforts 0.483863 Support stewardship efforts 0.53335 Hospital Compare tool 0.532624 CDC guidelines 0.484187 prevent infections 0.6372 practices. www.cdc.gov/hai/prevent/tap.html 0.47493 medical care 0.490608 spread 0.525397 infection prevention 0.472631 deadly diarrhea 0.478688 long-term acute care 0.541367 federal facilities. 0.477819 sepsis prevention 0.483449	CLICK HERE