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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
1012	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Heartland Virus Disease - UnitedStates, 2012-2013	Daniel M. Pastula, MD1, George Turabelidze, MD2, Karen F. Yates, MS2, Timothy F.	Arboviral Diseases Branch 0.551119 St. Francis Hospital 0.477705 Health Services 0.453118 Rickettsial Zoonoses Branch 0.477323 CDC Arboviral Diseases 0.497828 original MMWR paper 0.477227 U.S. Government Printing 0.473665 Human Services 0.475864 Robert S. Lanciotti 0.472467 Medical Center 0.505969 U.S. Department 0.475537 MMWR HTML versions 0.474244 Heartland virus 0.907332 clinically compatible illness 0.556728 Heartland Regional Medical 0.526785 northwestern Missouri farmers 0.485403 electronic PDF version 0.473455 Zoonotic Infectious Diseases 0.474895 Amblyomma americanum 0.450061 normal range 0.473421 plaque reduction neutralization 0.477897 additional cases 0.490672 Truman Medical Center 0.480016	Kansas City 0.468412 convalescent serum specimens 0.479127 virus disease cases 0.537709 white blood cell 0.481311 newly identified phlebovirus 0.491983 Heartland virus testing 0.57063 patients 0.482714 Heartland virus disease 0.719793 University Medical Center 0.480304 Janeen J. Laven 0.477266 Harry M. Savage 0.467819 clinical disease 0.458733 Scott M. Folk 0.474222 Mercy Hospital 0.467068 Heartland virus infection 0.650109 Disease Pathology Branch 0.481086 original paper copy 0.470543 Health Center 0.454822 multiple comorbidities 0.452946 C. Jon Hinkle 0.471737 Stephanie J. Yendell 0.470753 transcriptase–polymerase chain reaction 0.477989 recent Heartland virus 0.651081	CLICK HERE
5753	Centers for Disease Control and Prevention	Html	en	Methyl bromide - 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
6375	Centers for Disease Control and Prevention	Html	en	CDC Vital Signs: Overdoses of Prescription Opioid Pain Relievers --- United States, 1999-2008 - Press Briefing Transcript: November 1, 2011	CDC Vital Signs: Overdoses of Prescription Opioid Pain Relievers --- United States, 1999—2008	Gil Kerlikowske 0.61668 Dr. Jones 0.313311 prescription narcotics. 0.374357 prescription drug abuse 0.655703 prescription drugs 0.54652 prescription benefit managers 0.379657 prescription opioids 0.562139 national prescription drug 0.441086 prescription drug aversion 0.431819 drug monitoring programs 0.535036 doctor shopping 0.355423 patients 0.324741 Miriam Falco 0.330979 emergency department 0.342221 health care costs 0.34592 pill mills 0.343246 state–based prescription drug 0.432265 drug control policy 0.427493 inappropriately using prescription 0.363028 jones.  Dr. Frieden 0.364394 prescription overdoses 0.386048 Thomas Frieden 0.779626 national drug control 0.479211 Chris Jones 0.429535	prescription pain killer 0.411577 prescription opioids. 0.358432 federal government 0.318975 drug abuse deaths 0.382597 opioid pain relievers 0.316734 prescription benefits managers. 0.382502 Tom Skinner 0.451508 states 0.382835 prescription drug overdose 0.47643 health care 0.610593 prescription pain killers 0.447556 prescription drug 0.973703 prescription drug monitoring 0.64171 question 0.377295 America′s prescription drug 0.431482 prescription drug abuse. 0.431223 prescription history 0.352838 Drug Control Policy. 0.320542 all–day prescription drug 0.421647 people 0.38606 chronic opioid therapy. 0.32128 prescription narcotics 0.414532 prescription pain disorder 0.388183 Dr. Frieden 0.680802	CLICK HERE
7535	Centers for Disease Control and Prevention	Html	en	Arthritis - Interventions - Self-Management	These physical activity programs are all approved evidence-based programs that are proven to improve the quality of life of people with arthritis.	trained leaders 0.210187 Arthritis Foundation Self-Help 0.441628 Spanish-speaking people 0.2177 Choices Better Health 0.221743 State health departments 0.213611 individualized self-management program 0.461468 6-week interactive workshop 0.242679 Arthritis intervention 0.280271 Leadership Council website 0.374406 CDSMP program 0.242363 CDC-Arthritis Program funding 0.233976 Arthritis Toolkit 0.370076 health departments 0.23033 chronic disease management 0.226075 weekly 2-hour sessions 0.223068 self-management education program 0.576465 health care providers 0.224764 CDC Arthritis Program 0.518152 health care 0.277123 Self-Management Resource Center 0.523715 health professionals 0.321226 appropriate exercises 0.244846 Stanford University 0.329258 culturally appropriate manner 0.25193	Disease Self-Management Program 0.62965 arthritis management skills 0.371913 Arthritis Self-Help book 0.358938 chronic diseases 0.353854 new treatments 0.322516 Dr. Kate Lorig 0.217752 non-health professionals 0.210161 robust science base 0.205082 community setting 0.204322 self-management education 0.57917 self-management education intervention 0.396585 chronic health problems 0.441493 self-management education programs 0.41162 Arthritis website 0.287394 appropriate exercise 0.269514 Program funding 0.249312 su Salud 0.228704 Arthritis Self-Management Program 0.901821 Evidence-Based Leadership Council 0.378084 internationally recognized Chronic 0.211186 Chronic Disease Self-Management 0.637599 effective self-management education 0.575801 Better Choices Better 0.307044	CLICK HERE
8817	Centers for Disease Control and Prevention	Html	en	Value of Pharmacy-Based Influenza Surveillance - Ontario,Canada, 2009	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.	local health authority 0.853296 symptom onset 0.680109 antiviral dispensing data 0.536284 absolute prescription counts 0.494188 Public Health Agency 0.54506 dispensed prescription medications 0.50384 influenza laboratory confirmations 0.562868 public health authority 0.495424 Public Health Ontario 0.493638 public health authorities 0.683908 positive influenza laboratory 0.607926 weekly influenza 0.57487 pandemic influenza 0.542484 real-time prescription data 0.497789 antiviral prescription 0.691621 Ontario influenza 0.537596 dispensed prescriptions 0.505479 case onset trend 0.591475 influenza laboratory reports 0.556198 public health surveillance 0.520624 illness onset date 0.528546 prescription dispensing dates 0.499782 public health 0.79595 onset dates 0.584602	pharmacy prescription data 0.514164 real-time pharmacy-based surveillance 0.4957 influenza pandemic 0.515294 antiviral prescriptions 0.648425 Weekly antiviral prescriptions 0.549286 date laboratory results 0.498165 health authority level 0.857474 individual-level prescription data 0.508704 onset date 0.553689 Prescription medication data 0.506373 influenza surveillance strategy 0.565483 symptom onset dates 0.532815 local influenza activity 0.57937 influenza laboratory results 0.568419 influenza surveillance 0.681666 pharmacy-based surveillance 0.597406 laboratory reports 0.55711 prescription data 0.529687 case onset date 0.531456 antiviral prescription proportions 0.553963 onset trend line 0.591464 antiviral medications 0.506941 antiviral prescription trend 0.608992	CLICK HERE
9335	Centers for Disease Control and Prevention	Html	es	Uso del Modelo de Preparación Comunitaria para seleccionar comunidades que participen en una intervención de prevención de la obesidad a nivel de la comunidad	null	guía estructurada 0.705558 Sliwa S 0.728056 Edwards R 0.717235 Goldberg JP 0.724745 creciente interés 0.70941 similar tamaño 0.711818	Hyatt RR 0.727207 Nueva York 0.69869 modelo crm 0.973758 Preparación Comunitaria 0.832145 Chronic Dis 0.724945 Clark V 0.718439	CLICK HERE
10832	Centers for Disease Control and Prevention	Html	en	QuickStats: Median Emergency Department (ED) Wait and Treatment Times, by Triage Level - National Hospital Ambulatory Medical Care Survey, United States, 2010-2011	* Wait time was defined as the difference between the time of arrival in the ED and the time the patient had initial contact with a physician, physician assistant, or nurse practitioner. Treatment time was defined as the difference between the time the patient had initial contact with a physician, physician assistant, or nurse practitioner and the time the patient was discharged from the ED to another hospital unit or to the patient's residence.	Emergency service areas 0.55571 endorsement 0.436822 Alternate Text 0.4776 shows median emergency 0.612499 Human Services 0.55339 U.S. Department 0.545814 MMWR HTML versions 0.536169 hospital unit 0.493469 visit times 0.480568 emergency service 0.562573 electronic PDF version 0.533946 initial contact 0.563373 Contact GPO 0.485598 patients 0.480431 commercial sources 0.478513 level triage systems 0.62651 current prices 0.475679 original paper copy 0.535776 shortest median wait 0.798643 emergency service area 0.557609 treatment times 0.604099 United States 0.481156 records 0.444239 arrival 0.435213	original MMWR paper 0.534049 semiurgent 0.446787 median wait time 0.927618 nurse practitioner 0.651247 following reasons 0.478931 medical advice 0.484242 median treatment time 0.744952 MMWR readers 0.477994 character translation 0.475397 patient 0.471202 triage level 0.712412 emergent 0.462043 format errors 0.473199 typeset documents 0.476488 trade names 0.478555 official text 0.473149 nursing triage 0.554767 immediate need 0.571157 five-point scale 0.496662 non-CDC sites 0.476282 physician assistant 0.638568 2-year annual averages. 0.55795 confidence interval 0.485639 electronic conversions 0.47238	CLICK HERE
11421	Centers for Disease Control and Prevention	Html	null	Prepare for your Conversation | Talk About HIV/AIDS | We Can Stop HIV One Conversation | Campaigns | Act Against AIDS	Suggestions to start a conversation about HIV/AIDS with families, friends, and within Hispanic/Latino communities			CLICK HERE
11547	Centers for Disease Control and Prevention	Html	en	CDC Telebriefing: New Vital Signs Report What can be done to help children eat less sodium? | Transcript | CDC Newsroom | CDC	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	ePub file 0.664553 Audio/Video file 0.626536 FOIA 0.493424 Email CDC-INFO 0.590708 Policies 0.431778 Funding 0.441704 Tweet 0.480607 MENU CDC A-Z 0.930535 Human Services 0.588278 U.S. Department 0.589495 Privacy 0.446113 Clifton Road Atlanta 0.762876 Jobs 0.432182	TTY 0.481182 GA 0.439971 SEARCH 0.438258 OIG 0.492399 YouTube 0.462473 Fear 0.44795 RSS 0.445282 Act 0.430671 Text file 0.607935 Instagram 0.433038 SAS file 0.628457 RealPlayer file 0.633956	CLICK HERE
13008	Centers for Disease Control and Prevention	Html	en	Mark's Story | Real Stories | Tips From Former Smokers	Mark smoked and got colorectal cancer. His full story and his videos are part of CDC's Tips From Former Smokers campaign.	frightening news 0.601634 harm 0.295504 TV ad 0.579983 abdomen 0.312395 Mark 0.859564 Persian Gulf 0.638881 Mark share 0.560029 mom 0.280931 smokers 0.287947 danger 0.284825 chemotherapy 0.294115 tours 0.279243 life 0.276906 ‘I 0.278037 smoking 0.482434 ostomy bag 0.618621 tip 0.278004 Treatments 0.273964	fight 0.278063 teenager 0.31268 military veteran 0.559546 colorectal cancer 0.869832 active military duty 0.943645 rectal cancer 0.636103 California 0.287114 friends 0.286668 Julia 0.366292 halt 0.309383 smokeless tobacco 0.659559 just—it 0.277547 radiation 0.274834 cigarettes 0.294516 especially young people 0.895955 Air Force 0.676306 age 0.278836	CLICK HERE