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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
601	Centers for Disease Control and Prevention	Html	en	National Gay Men's HIV/AIDS Awareness Day | CDC Features	Find your best HIV prevention and treatment options.	combat stigma 0.281393 Stop HIV. campaign 0.344755 pre-exposure prophylaxis 0.284587 new HIV infections 0.629223 National Gay Men 0.395054 right way 0.414076 prevention tools 0.281639 family member 0.270862 HIV infections 0.641099 drug works 0.275223 HIV status 0.577234 conversation starters 0.279165 undetectable levels 0.273923 post-exposure prophylaxis 0.288255 racial/ethnic groups 0.288552 sexual health 0.282207 oral sex 0.273599 community-based organizations 0.272495 HIV Risk Reduction 0.559896 Additional resources 0.27123 campaign materials 0.279668 prevention benefits 0.274801 link HIV-positive men 0.359582 HIV prevention strategies 0.598248 Health departments 0.270564	best ways 0.271959 HIV/AIDS Awareness 0.286364 sex partners 0.284045 United States 0.35934 HIV Treatment Works 0.549154 sexual behaviors 0.277639 open discussion 0.282487 social media 0.274296 HIV-negative sexual partners 0.342328 sexual transmission 0.271679 testing site 0.281042 national Act 0.279775 ZIP code 0.276216 bisexual men 0.797841 HIV 0.980195 AIDS initiative 0.276579 testing services 0.274915 LGBT people 0.273979 powerful information 0.276772 HIV testing 0.527952 CDC’s Start 0.288838 latest CDC data 0.371764 local AIDS service 0.334702 HIV medication 0.496126	CLICK HERE
911	Centers for Disease Control and Prevention	Html	en	Global Control and Regional Elimination of Measles,2000-2012	Robert T. Perry, MD1, Marta Gacic-Dobo, MSc1, Alya Dabbagh, PhD1, Mick N. Mulders, PhD1, Peter M.	MCV coverage 0.459922 measles supplemental immunization 0.478372 measles elimination 0.733287 measles incidence 0.621381 number 0.370576 measles genotypes 0.461326 children 0.411204 immunization activities 0.389777 measles vaccination coverage 0.502941 MCV1 coverage 0.437109 target age 0.377976 measles immunization 0.457918 measles mortality 0.609069 measles annual incidence 0.519055 routine immunization services 0.496461 large measles outbreaks 0.537037 measles control 0.480062 World Health Organization 0.401047 measles susceptibility 0.478796 Effective measles surveillance 0.489156 measles vaccination 0.620646 measles elimination activities 0.488553 nationwide catch-up SIA 0.398401 measles elimination targets 0.495168 measles mortality model 0.476939	global measles eradication 0.545738 recent birth cohorts 0.396694 SIA MCV coverage 0.379808 eventual global measles 0.470289 regional measles elimination 0.530622 global measles 0.593572 global measles mortality 0.483974 Periodic follow-up SIAs 0.414674 measles cases 0.521963 measles SIAs 0.495259 annual measles deaths 0.512392 Vaccine Action Plan 0.400922 regional elimination targets 0.374898 MCV coverage worldwide 0.370219 annual measles incidence 0.520998 World Health Assembly 0.401994 member states 0.929695 measles deaths 0.544627 measles control targets 0.476589 measles-containing vaccine 0.427622 follow-up sias 0.430055 Global Vaccine Action 0.401587 routine MCV coverage 0.424204 elimination goals 0.372297	CLICK HERE
1263	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Disparities in Receipt of Advice to Quit Smoking From Health Care Providers: 2010 National Health Interview Survey - CDC	Not all smokers receive tobacco cessation advice from health care providers (HCPs) and, although factors associated with receiving HCP advice to quit smoking and the effectiveness of such advice have been examined, no recent study has explored differences between types of HCPs (eg, physicians vs dentists). Our objective was to determine the prevalence of HCP-delivered advice and the characteristics of patients who receive advice to quit smoking from any HCP and, separately, from a physician or a dentist.	Adult Cancer Control 0.528117 tobacco use cessation 0.508239 health profession education 0.524797 tobacco status characteristics 0.494544 data 0.493192 health insurance 0.539623 heaviest smokers 0.490932 dental worker 0.640634 National Health Interview 0.604477 dental workers 0.591127 current smokers 0.802303 Sample Family Core 0.530794 health insurance type 0.524553 current cigarette smokers 0.533314 Family Core questionnaire 0.526008 tobacco cessation treatment 0.511967 HCP-delivered advice 0.561106 previous studies 0.519465 Sample Adult Core 0.52985 heavy smokers 0.514471 health care providers 0.540107 long-term quit rates 0.550322 patients 0.546423 Health Interview Survey 0.602717 characteristic category 0.488728	HCP 0.638004 HCPs advise patients 0.488731 HCP advice 0.542347 tobacco cessation education 0.500369 Clinical Practice Guideline 0.643431 overall HCP advising 0.510676 United States 0.641449 Cancer Control Module 0.580099 advice 0.959151 Adult Core questionnaire 0.525063 prevalence 0.487585 smokers report 0.48737 Sample Adult Cancer 0.529544 HCP type 0.48948 smoking 0.603191 smokers dental professionals 0.531195 Ohio State University 0.501296 dental professionals 0.635644 Sample Adult 0.546678 Amy K. Ferketich 0.503067 Core questionnaire 0.528455 tobacco cessation counseling 0.502719 profession education curriculum 0.519265 tobacco cessation advice 0.828178	CLICK HERE
5744	Centers for Disease Control and Prevention	Html	en	n-Butane - 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
8382	Centers for Disease Control and Prevention	Html	en	Pertussis: About Outbreaks	About Pertussis Outbreaks	active screening 0.354958 secondary goal 0.29327 CDC 0.281821 young babies 0.377233 United States 0.303896 Tdap vaccine 0.288513 PEP guidance 0.305674 careful laboratory testing 0.370928 prevention efforts 0.285656 pertussis 0.931517 pertussis outbreaks 0.72811 time period 0.290195 pregnant women 0.38242 respiratory pathogens 0.300447 possible deaths 0.289466 pertussis outbreak 0.713244 post exposure 0.286105 close contact 0.279545 health departments 0.283156 healthcare professionals 0.378981 symptomatic patients 0.289421 polymerase chain reaction 0.378365 clinical signs 0.292504	case 0.243909 extensive contact 0.286291 cases 0.269943 pertussis disease 0.570131 frequent outbreaks 0.353916 pertussis infection 0.569812 new mothers 0.290448 primary goal 0.297226 pertussis outbreak control 0.704532 lab test 0.292309 people 0.257588 high specificity 0.318083 important consideration 0.285114 vulnerable babies 0.300708 antimicrobial prophylaxis 0.293935 recent peak 0.302862 care centers 0.287384 high risk 0.337958 cause symptoms 0.292334 Tdap vaccination 0.287834 PCR tests 0.388069 positive test results 0.366122 antibiotics 0.280098	CLICK HERE
8804	Centers for Disease Control and Prevention	Html	en	Naegleria fowleri - Prevention & Control	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.	Florida lakes 0.453232 Immunol Med Microbiol. 0.566969 recreational water exposures 0.51252 human health 0.453814 ameba enters 0.460715 Beach MJ 0.49116 da Silva AJ 0.484926 freshwater lakes 0.457385 faucet water 0.477501 primary amoebic meningoencephalitis 0.577029 public drinking water 0.523273 hot water heaters 0.523442 warm freshwater places 0.508652 Cabral G. 0.452755 Appl Environ Microbiol. 0.594087 Fatal Naegleria fowleri 0.66352 Naegleria fowleri infection 0.768905 Parasitol Res. 0.551983 pathogenic free-living amebae 0.539988 public health officials 0.495747 Clin Infect Dis. 0.489531 deadly thermophilic organism 0.485781 Visvesvara GS 0.585898 opportunistic free-living amoebae 0.538057 FEMS Immunol Med 0.575727	pathogenic free-living amebas 0.536747 recreational fresh waters 0.494381 Acanthamoeba spp. 0.453945 United States 0.553618 human disease 0.452295 Duma RJ 0.453379 pathogenic Naegleria 0.564938 southern-tier states 0.463282 certain persons 0.451853 hot springs 0.45556 Naegleria fowleri 0.913029 fresh-water lakes 0.454913 Schuster FL 0.45251 environmental Naegleria fowleri 0.667813 contaminated tap 0.462657 Yoder JS 0.492823 Pernin P. Assessing 0.488346 Balamuthia mandrillaris 0.458988 opportunistic agents 0.457618 true risk 0.459192 USA. Parasitol Res. 0.491739 unacceptable risk 0.458908 water systems 0.507499 Naegleria fowleri amebae 0.688063	CLICK HERE
9875	Centers for Disease Control and Prevention	Html	en	Tobacco Use, Smoking infographic	CDC Vital Signs - Tobacco Use, Smoking infographic	smoking rates 0.770254 North Carolina 0.673834 post graduate 0.684611 arteries 0.544403 circles 0.637442 stomach 0.541267 high school education 0.834898 Utah 0.529626 kidney 0.531477 pancreas 0.540382 current smoking percentages 0.952413 group 0.530012 image 0.598544 Head 0.531682 poverty level 0.819985 blindness 0.536716 California 0.529649 aortic rupture 0.711192 gum infection 0.691658 Connecticut 0.550183 cancers 0.53675 causes damage 0.70415 Idaho 0.52951 women 0.529591 high school graduate 0.836662	United States 0.677136 hip fracture 0.692517 South Carolina 0.673619 Washington 0.529533 West Virginia 0.67328 pneumonia 0.540145 heart disease 0.69053 college graduate 0.684968 North Dakota 0.678052 New York 0.685535 Rhode Island 0.676781 cervix 0.548009 chronic diseases 0.695267 South Dakota 0.677838 human body 0.714942 Internal organs 0.737432 color-coded map 0.689988 neck 0.530575 New Jersey 0.688999 following locations 0.871714 New Mexico 0.687719 New Hampshire 0.690053 bladder 0.535768 colon 0.535881	CLICK HERE
11479	Centers for Disease Control and Prevention	Html	en	ELISA Software for Bioassays | Manual | Template File Format Appendix	Appendix B of the ELISA user's manual. Template File Format	Std 0.448623 96-well ELISA plate 0.727426 line 0.495381 unknowns 0.439702 Project ID 0.5603 Page 0.433416 Windows 0.441016 replicates 0.44171 QC2″ 0.436145 following information 0.592123 number 0.431127 QC 0.435707 Unk 0.695324 record 0.432908 block 0.578442 text 0.432518 lines 0.46838 FINAL.TPL file 0.722728 rest 0.432088 dilutions 0.443478	initial dilution 0.581693 single integer 0.573 column 0.460447 sample template 0.597032 right 0.432482 block ID 0.564685 file FINAL.TPL 0.537077 QC1″ 0.437527 ‘Std 0.431644 standard range 0.549271 dilution series 0.581216 QC3″ 0.436243 standards 0.432046 fold 0.433253 Test Template 0.611675 program ELISA 0.617285 illustration 0.433067 fields 0.463103 Module 0.431543	CLICK HERE
13609	Centers for Disease Control and Prevention	Html	en	Prevalence of Stroke | United States, 2006 to 2010	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.	previous report 0.360447 education 0.363578 acute stroke care 0.46228 higher prevalence 0.41147 state health officials 0.361931 higher stroke prevalence 0.695698 State Heart Disease 0.353192 state health departments 0.358441 actual stroke prevalence 0.547471 stroke mortality 0.499535 racial/ethnic groups 0.353527 premature mortality cost 0.362225 recent trends 0.353709 public health officials 0.385945 self-reported stroke 0.470139 southeastern United States 0.404 persons 0.361797 lower levels 0.3769 stroke incidence 0.567762 stroke hospitalization data 0.47506 sociodemographic characteristics 0.362095 highest estimated stroke 0.468282 Behavioral Risk Factor 0.353673 stroke prevalence 0.970274	older stroke survivors 0.502971 stroke patients 0.450477 high stroke prevalence 0.592684 overall prevalence 0.40522 United States 0.590611 age group 0.354338 state-level stroke prevalence 0.602865 BRFSS core questions 0.354849 stroke hospitalizations 0.45353 Acute Stroke Registry 0.462795 state-specific stroke prevalence 0.563197 heart disease 0.415636 severe disability 0.355085 50 states 0.361944 American Indians/Alaska Natives 0.509291 stroke survivors 0.53329 age-adjusted prevalence 0.506364 South Dakota 0.3804 Stroke Prevention Program 0.46623 age-adjusted stroke prevalence 0.587739 high prevalence 0.430169 cardiovascular disease section 0.353386 stroke prevalence estimates 0.570716 stroke prevention 0.517207	CLICK HERE
16089	Centers for Disease Control and Prevention	Html	en	What States Need to Know about PDMPs	null	health authorities 0.417892 recent prescriptions 0.399977 long interval 0.391613 certain controlled substances 0.565158 changes 0.276484 clinical practice 0.422871 utility 0.308782 range 0.237223 promise 0.281003 EHR 0.246114 states 0.309265 patient behaviors 0.403611 PDMP access 0.400973 polices 0.246018 ways 0.237205 nurse practitioners 0.37069 passive databases 0.386989 state health departments 0.545513 inappropriate prescribing trends 0.53899 timely information 0.404456 health care providers 0.804614 state PDMPs 0.431961 significant potential 0.603309 state PDMP 0.698296	significant implications 0.387493 Timely data 0.388172 patient safety 0.380466 Promising practices 0.410101 multiple providers 0.429215 epidemic 0.283739 patients 0.43507 promising state-level interventions 0.657765 public health tool 0.541881 electronic database 0.400217 PDMP users 0.402372 prescription drug monitoring 0.993952 drug monitoring programs 0.599928 prescription history data 0.570766 highest risk 0.370729 certain circumstances 0.393238 substance abuse treatment 0.600231 opioid prescribing 0.459769 physician assistants 0.37884 PDMPs 0.786746 electronic health record 0.54545 allied health professionals 0.542879 substance prescriptions 0.416676	CLICK HERE