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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
802	Centers for Disease Control and Prevention	Html	en	Current Cigarette Smoking Among Adults - United States,2005-2012	Israel T. Agaku, DMD1,2, Brian A. King, PhD2, Shanta R.	current smoking estimates 0.506102 personal care needs 0.48293 overall smoking prevalence 0.749042 Tobacco Control Act 0.42611 high-impact antitobacco mass 0.508104 quit attempt 0.502803 National Health Interview 0.502654 current smokers 0.59819 tobacco control programs 0.563476 current cigarette smokers 0.505227 smoking status 0.542887 daily living 0.676184 current smoking 0.528141 daily current smokers 0.521958 everyday household chores 0.478128 comprehensive tobacco control 0.476275 high smoking prevalence 0.568439 smoking cessation website 0.494236 Health Interview Survey 0.503638 U.S. Census region 0.510401 instrumental activities 0.473759 significantly higher prevalence 0.48724 persons 0.449074 antitobacco mass media 0.506343 mass media campaigns 0.497704	self-reported smoking status 0.501686 tobacco control efforts 0.423861 cigarettes 0.431481 overall quit ratio 0.527226 Family Smoking Prevention 0.500879 smoking prevalence 0.993089 United States 0.753402 mean CPD 0.438394 age group 0.466496 comprehensive smoke-free laws 0.61756 tobacco price increases 0.513074 adult cigarette smoking 0.490982 U.S. Census Bureau 0.456988 cigarette smoking 0.708846 North Dakota 0.440646 year.† Quit ratios 0.471591 population smoking prevalence 0.569172 U.S. adults 0.579922 adult smoking 0.453673 daily smokers 0.767304 cigarette smoking prevalence 0.630518 emotional problem 0.479395 CPD 0.497602 tobacco control 0.653284	CLICK HERE
6423	Centers for Disease Control and Prevention	Html	en	Errata: Vol. 60, No. 30 - December 2, 2011 / 60(47);1624	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.	mmwrq@cdc.gov. 0.702441 endorsement 0.600048 broader conclusion 0.699478 insecure regions 0.692265 under-5 mortality data 0.937054 Human Services 0.838513 assistive technology 0.711141 U.S. Department 0.832903 MMWR HTML versions 0.819696 electronic PDF version 0.803764 e-mail 0.561532 survey areas 0.688731 Mortality—Southern Somalia 0.698011 pastoral surveys 0.678483 Contact GPO 0.715578 commercial sources 0.67814 current prices 0.668216 data quality 0.692422 original paper copy 0.801025 mortality estimates 0.791581 U.S. Government Printing 0.802129 Superintendent 0.534239 assistance 0.532477 MMWR readers 0.68452	character translation 0.667082 file 0.532698 MMWR paper copy 0.813394 Persons 0.53283 survey datasets 0.692201 Malnutrition 0.547283 famine conditions 0.690521 format errors 0.67436 under-5 mortality rates 0.92767 severe nutrition crisis 0.83082 irregularities 0.547158 subject line 0.69072 Health 0.554928 typeset documents 0.681016 trade names 0.678302 official text 0.664466 high mortality 0.76885 non-CDC sites 0.675643 under-5 mortality 0.937313 Bakool Agropastoral 0.713463 report 0.559425 information 0.532726 Accommodation 0.530555 electronic conversions 0.666662	CLICK HERE
6647	Centers for Disease Control and Prevention	Html	en	Feasibility of partnering with emergency medical services to identify people at risk for uncontrolled high blood pressure.	Uncontrolled high blood pressure (HBP) is a significant health problem and often goes undetected. In the prehospital care-delivery system of 9-1-1 emergency medical services (EMS) calls, emergency medical technicians (EMTs) routinely collect medical information, including blood pressure values, that may indicate the presence of chronic disease.	blood pressure check 0.538165 9-1-1 EMS visit 0.493049 EMS personnel 0.617834 blood pressure checks 0.511346 medical incident report 0.521647 systolic blood pressure 0.581828 emergency medical services 0.530796 diastolic blood pressure 0.581785 health care providers 0.473809 blood pressure values 0.575416 blood pressure 0.940294 medical incident 0.558504 Health Seattle King 0.502639 emergency medical technicians 0.473829 blood pressure screening 0.561087 EMS 0.671528 blood pressure control 0.491781 mm Hg 0.578164 Marketing Research Center 0.497172 uncontrolled HBP 0.72103 intervention 0.501608 free blood pressure 0.573019 9-1-1 EMS response 0.475883 EMS crew 0.486358 high HBP values 0.479636	study 0.475653 HBP information 0.483282 EMS division 0.551303 9-1-1 EMS event 0.496751 EMS patients 0.473823 local fire station 0.482555 Public Health Seattle 0.503105 EMS care providers 0.475052 departments 0.477972 health care 0.522622 Health Marketing Research 0.504222 9-1-1 EMS 0.53151 patient contact information 0.546882 EMTs 0.535181 community residents 0.611166 health 0.573837 follow-up blood pressure 0.483744 medical incident reports 0.555322 Health Belief Model 0.545342 high blood pressure 0.532894 blood pressure monitoring 0.506722 County EMS division 0.534115 Seattle King County 0.516669 King County 0.587937	CLICK HERE
6783	Centers for Disease Control and Prevention	Html	en	Basic Information About Cervical Cancer	Basic information about cervical cancer from CDC.	cervix 0.609192 sexually active people 0.675516 vagina 0.448899 half 0.432361 woman 0.431974 United States 0.549641 common virus 0.546467 birth canal 0.563268 cervical cancer 0.960781 HPV 0.563539	Human papillomavirus 0.565821 uterus 0.603339 person 0.430237 baby 0.432063 narrow end 0.57252 main cause 0.548595 womb 0.449072 risk 0.430752 age 0.431455	CLICK HERE
7925	Centers for Disease Control and Prevention	Html	en	Cervical Cancer Screening Among Women Aged 18-30 Years -United States, 2000-2010	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.	young women 0.340195 recent cervical cancer 0.299504 cervical cancer diagnosis 0.299659 U.S. Preventive Services 0.303201 Keisha A. Houston 0.293658 frequent cervical cancer 0.292353 test reduces cancer 0.278881 United States 0.35805 age group 0.393057 Pap test status 0.407507 Risk Factor Surveillance 0.42625 longer screening intervals 0.278088 ACOG guidelines 0.282856 Pap testing practices 0.354865 American Cancer Society 0.360835 Pap testing regress 0.347444 invasive cervical cancer 0.298397 routine screenings 0.28634 guidelines 0.305317 Pap tests 0.337332 Preventive Services Task 0.300176 consistent screening guidelines 0.292007	screening intervals 0.280929 Pap test 0.920498 New York 0.27341 V. Cervical cancer 0.295455 health-care coverage 0.296742 routine Pap tests 0.326655 cervical cancer screening 0.518003 Services Task Force 0.301925 U.S. Census region 0.368605 cervical cancer 0.782042 Newer cervical cancer 0.28994 survey response rates 0.301542 New Mexico 0.273082 Pap testing 0.653571 Pap test initiation 0.341729 Pap testing behaviors 0.392696 human papillomavirus 0.276965 New England 0.273481 New Hampshire 0.273455 Behavioral Risk Factor 0.42644 recent Pap test 0.349199 women 0.569288	CLICK HERE
9642	Centers for Disease Control and Prevention	Html	en	Launch of the Childhood TB Roadmap - CDC Global Health	null	stool 0.317998 new Xpert MTB/RIF® 0.461873 community volunteers 0.410324 CDC 0.61735 urine 0.316466 recent story 0.404705 8-month-old baby girl 0.484607 international organizations 0.388857 mother 0.40222 best approach 0.385905 children 0.447894 neighbors 0.3176 Hope’s mom 0.480436 immediate actions 0.385994 right tools 0.381253 weight 0.333295 commitment 0.316172 coalitions 0.318338 available tools 0.387256 right hands 0.380332 healthy future 0.382148 TB patients 0.735038 better data 0.386987 CDC’s program 0.477385 child health services 0.457883	best ways 0.387323 home village 0.396257 Childhood TB Roadmap 0.854571 link 0.317655 child-friendly collection 0.400177 patient outcomes 0.387333 child-friendly treatment regimens 0.477185 baby hope 0.700011 CDC’s sponsored-programs 0.497856 CDC-sponsored community engagement 0.472622 TB deaths 0.674121 TB treatment success 0.698485 deadly disease 0.389327 slums 0.32088 simple criteria 0.384819 Kenya 0.335631 TB 0.997593 health center 0.487628 Government agencies 0.388908 money 0.316465 community volunteer 0.454787 healthcare workers 0.387957 community health center 0.478623 family 0.316158	CLICK HERE
10511	Centers for Disease Control and Prevention	Html	en	Email Updates: November 19, 2012'Clinicians Outreach and Communication Activity (COCA)	CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism.	Metro TB Clinic 0.567354 CDC 0.94535 Public Health Matters 0.593248 Emergency Preparedness 0.574722 antibiotics promotes 0.520775 FDA Safety Information 0.563832 Nile virus infections 0.558608 Hurricane Sandy Response 0.558506 Marte Brand Ricotta 0.552359 – (CDC) 0.708803 treatment guidance 0.497228 CDC Science Clips 0.811411 Additional COCA Conference 0.618132 CDC Influenza Division 0.777056 important safety information 0.550732 subject matter experts 0.573281 Free CE credit/contact 0.575105 Weekly Flu View 0.554918 human medical products 0.541086 Pharmaceutical Compounding Guidance 0.549753 New Resource Web 0.54805 Screening Lab Perseveres 0.549737 annual TB Trot 0.574889 Current Travel Warnings 0.559227 crisis…or annual event 0.569671	Pharmaceutical Compounding 0.556408 multiple antibiotics 0.520116 Event Reporting Program 0.552895 Disease Outbreak 0.518951 Meningitis Outbreak Investigation 0.572311 Denver Public Health 0.597431 weekly feature 0.495455 USP General Chapter 0.553805 COCA Email Update 0.614371 United States Pharmacopeia 0.556711 west nile virus 0.766968 current epidemiology 0.495616 public health community 0.596631 CDC Works 0.713781 public health 0.697025 Specific Hazards preparedness 0.568941 incident command 0.546342 in-person training centers 0.561332 Nile virus disease 0.559461 FoodSafety.gov Reports FDA 0.569685 weekly influenza surveillance 0.55418 USDA Food Recalls 0.553033 Response Training Resources 0.577355 Multistate Outbreak 0.516966	CLICK HERE
10990	Centers for Disease Control and Prevention	Html	en	MMWR News Synopsis: June 12, 2014 | CDC Media Relations | CDC	MMWR – Morbidity and Mortality Weekly Report CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	supplementary immunization activities 0.797284 vaccination services 0.318217 measles elimination 0.878723 SIAs 0.204197 measles cases 0.581572 daily activities 0.528093 usual daily activities 0.500828 productivity 0.24621 national levels 0.311761 U.S. DEPARTMENT 0.306934 Male cancer survivors 0.600381 high–quality supplementary immunization 0.524941 Eastern Mediterranean Region 0.48961 measles mortality 0.607206 annual medical costs 0.90013 substantial progress 0.30639 target date 0.307632 health care 0.345549 percent national level 0.574839	large measles outbreaks 0.749976 average medical costs 0.512909 Female survivors 0.398012 civil strife 0.324468 innovative strategies 0.314802 poor access 0.309677 economic impact 0.34646 high-burden countries 0.295719 measles-containing vaccine coverage 0.475541 percent decrease 0.428958 administrative coverage 0.293082 two-dose measles vaccination 0.802092 EMR countries 0.384215 employment opportunities 0.336149 cancer survivors 0.781522 economic hardship 0.34447 high-risk populations 0.321452 HUMAN SERVICES 0.301143	CLICK HERE
11908	Centers for Disease Control and Prevention	Html	en	CDC and Texas Health Department Confirm First Ebola Case Diagnosed in the U.S.	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	CDC Director 0.449169 CDC 0.841359 ill person 0.590454 Response Network 0.278956 Texas Health Presbyterian 0.474199 strong health care 0.426289 Disease Control 0.29188 direct contact 0.251878 medical facility 0.282431 health care professionals 0.410844 additional cases 0.27122 medical systems 0.263841 casual contact 0.2485 data health officials 0.394049 exhibit symptoms 0.285075 laboratory tests 0.292556 active symptoms 0.290575 public health officials 0.410079 symptoms 0.484614 return flight 0.26279 Ebola 0.980259 ill people 0.29709 single case 0.269686 United States 0.960414 thorough case finding 0.397362	Texas lab 0.281976 meticulous infection control 0.398479 laboratory test results 0.422192 U.S. public health 0.407938 incubation period 0.261809 viral hemorrhagic fever 0.391101 public health professionals 0.675212 Dr. Tom Frieden 0.42709 past few decades 0.250333 public health 0.742576 travel history 0.280655 CDC team 0.455678 sporadic cases 0.265011 medical center 0.28059 commercial airline flights 0.397937 bodily fluids 0.255245 prior experience 0.257185 CDC’s Laboratory 0.456737 sick person 0.312762 medical care 0.292205 possible exposure 0.270652 Texas Health Department 0.446211 close personal contact 0.391539 West Africa 0.450479	CLICK HERE
14491	Centers for Disease Control and Prevention	Html	en	Snacking on Television: A Content Analysis of Adolescents'Favorite Shows	Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention.	on-screen food-related incidents 0.665955 food incident 0.708162 favorite television shows 0.830216 frequent snacking 0.688198 character 0.71839 popular television shows 0.662955 shows 0.920117 typical snack foods 0.677146 meal incidents 0.744736 unhealthy food items 0.65027 adult audiences 0.628357 unhealthy snacking add 0.754124 material goods 0.648501 snacks 0.638855 health behaviors 0.631873 body mass index 0.648131 obvious pot belly 0.641836 youth audience 0.67126 multilevel regression models 0.740537 Introduction Snacking 0.73513 snack incidents 0.658371 Closely related shows 0.628475 meals 0.643365 entertainment media 0.63782 favorite shows 0.678514	on-screen behaviors 0.647969 young people 0.634541 distinct character-food incidents 0.646985 characters 0.933197 television shows 0.844287 dietary intake 0.727749 Internet Movie Database 0.650232 weight status 0.806115 healthier media environment 0.665731 unhealthy foods 0.695588 popular shows 0.706657 characteristics 0.642458 food incidents 0.999682 incidents vs 0.630739 frequent unhealthy snacking 0.758952 average weight 0.627189 unhealthy snacking behaviors 0.785515 unhealthy eating behaviors 0.647157 snack foods 0.71793 screen time 0.712361 obvious clavicle bones 0.643821 versus meal incidents 0.660137 unhealthy snack foods 0.652158 socioeconomic status 0.633946	CLICK HERE