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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
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
6685	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease: January 2008: 07_0154	null	mental health 0.632417 depression symptoms 0.601111 health care specialists 0.574162 primary care providers 0.610009 health care providers 0.604048 major depression 0.592572 high health care 0.586598 depression levels 0.578858 Older Adults project 0.622977 mental health settings 0.571902 depression care management 0.626145 late life depression 0.590818 evidence-based depression interventions 0.624695 noninstitutionalized older adults 0.594145 literature review 0.578602 evidence-based depression care 0.60658 health care costs 0.601391 mild depression 0.589806 community-based older adults 0.598898 primary care provider 0.566842 community-dwelling older adults 0.677398 study 0.577489 late-life depression 0.625439 Public Health Role 0.566708 recruit older adults 0.582742	depression care manager 0.639888 older primary care 0.588181 major public health 0.58591 primary care clinics 0.621224 frail older adults 0.584039 health services 0.574118 home-based depression treatment 0.599389 public health 0.731908 health care 0.654304 primary care patients 0.588242 public health organizations 0.567022 community health care 0.582209 health care cost 0.578175 Prevention Research Centers 0.57423 randomized controlled trial 0.607297 public health problem 0.58898 mental health care 0.57392 brief depression severity 0.590299 older adults 0.935041 et al 0.605106 primary care 0.736465 expert panel 0.577594 depression 0.811256 depression care 0.660873	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
10104	Centers for Disease Control and Prevention	Html	en	AMCHP Toolbox'Features - Disability and Health | NCBDDD'CDC	null	CDC 0.438925 Birth Defects 0.501439 national centers 0.485363 Health Data 0.507454 work.  Stakeholders 0.50192 type 0.417286 clinical preventive services.2 0.642156 service gaps 0.490739 women’s health 0.562384 national data sources 0.57361 Disease Control 0.502048 review 0.429798 Weitz T.A. 0.493637 clinicians 0.436934 health conditions 0.521624 one-stop online toolbox 0.593669 self-care 0.42108 limitations 0.418679 National Center 0.502055 Social Work 0.485399 Maternal 0.426935 Receipt 0.418966 Developmental Disability 0.499385 transportation resource hotline 0.564636 community action guide 0.565403	employment. 0.417171 health care facilities 0.577929 child health experts 0.585127 special health care 0.583333 physical impairments 0.50899 clinical settings 0.509083 Freund 0.420645 J.P. et al 0.551884 collaborative process 0.491149 recommended services 0.495993 Public Health 0.5006 Child Health Programs 0.601613 tools 0.458597 house 0.417186 Prevention 0.416752 new internet-based TOOLBOX 0.61161 clinical preventive services 0.919682 AMCHP 0.431945 healthcare interactions 0.485276 onset 0.42071 disabilities 0.513289 healthcare services 0.510423 training sessions 0.490416 U.S. Census 0.504839	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
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
13200	Centers for Disease Control and Prevention	Html	en	Possible Sexual Transmission of Ebola Virus - Liberia,2015	Please note: An erratum has been published for this article. To view the erratum, please click here.	Ebola treatment unit 0.664055 new blood specimen 0.268352 Krisztina B. Janosko 0.266032 David J. Blackley 0.267382 symptom onset 0.297109 Ebola infection 0.410024 single transmission chain 0.273056 ebola virus 0.933222 Ebola survivors 0.495789 MMWR Early Release 0.265359 blood specimen 0.300542 Michael R. Holbrook 0.264793 postmortem blood specimen 0.26925 male survivors 0.31531 Ebola Response Team 0.500399 possible sexual transmission 0.329612 A. Scott Laney 0.266851 Tolbert G. Nyenswah 0.26461 low viral load 0.267921 Randal J. Schoepp 0.266056 human immunodeficiency virus 0.285793 CDC Liberia Ebola 0.528579 Ebola patients 0.460184 ongoing community transmission 0.268526 semen 0.298353	Ebola viral RNA 0.46001 Marburg virus 0.264819 Desmond E. Williams 0.264309 Liberia Ebola Response 0.524775 likely Ebola onset 0.447224 Sonpon B. Sieh 0.264818 Ebola case 0.436587 Neeltje van Doremalen 0.265039 Ebola virus RNA 0.524786 younger brother 0.275273 Ebola Virus Disease 0.517383 previous Ebola virus 0.4685 recent Ebola cases 0.429816 long-term viral shedding 0.267912 Michael R. Wiley 0.264511 sexual transmission 0.358913 Shivam A. Shinde 0.2669 Ebola patient 0.449397 new confirmed cases 0.272502 viral shedding 0.272153 Ebola virus–specific IgG 0.446187 male Ebola survivors 0.478206 unprotected vaginal intercourse 0.394398 viral nucleic acid 0.264676	CLICK HERE
15875	Centers for Disease Control and Prevention	Html	en	Dogs | Bringing an Animal into U.S. | Importation	Animal Importation, importation of animals, importation of animal products, Traveling with Pets	unimmunized dog permits 0.329129 CDC 0.35662 Federal Register Notice 0.208492 United States 0.954611 unimmunized dogs 0.225368 valid rabies vaccination 0.691844 permit number 0.205618 rabies vaccination status. 0.386222 Enforcement Guidance 0.214835 USDA APHIS website 0.209178 salaried veterinary official 0.213277 dogs 0.483262 dog confinement agreement 0.347022 unimmunized dog 0.507712 dog confinement agreements 0.409473 permit applications 0.212222	Plant Health Inspection 0.210882 service animals 0.234563 dog owner 0.205643 separate CDC regulations 0.246063 rabies vaccination certificate 0.583586 unimmunized dog permit 0.377665 booster vaccination 0.262148 Animal Rabies Prevention 0.342247 current rabies vaccinations 0.319274 USDA APHIS 0.212149 rabies-free country 0.234763 Pet Travel site 0.209027 rabies vaccination 0.76687 dog 0.636019 unimmunized dog permit—one 0.251961	CLICK HERE