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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
547	Centers for Disease Control and Prevention	Html	en	National and State Vaccination Coverage Among AdolescentsAged 13-17 Years - United States, 2012	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.	HPV vaccination estimates 0.247224 HPV vaccination 0.605735 HPV vaccine 0.980662 HPV vaccine dose 0.976691 HPV dose-specific vaccination 0.232854 percentage points 0.243426 routine HPV vaccination 0.216858 vaccination coverage 0.992911 vaccine series dose 0.289034 HPV vaccination rates 0.248254 quadrivalent HPV vaccine 0.260477 Tdap vaccine dose 0.521239 HPV vaccination coverage 0.434262 varicella vaccination coverage 0.208055 MMR vaccine doses 0.207173	MenACWY vaccine dose 0.559427 HPV vaccine series 0.435604 HPV vaccination initiation 0.22534 adolescents 0.323945 females 0.307766 vaccine dose coverage 0.301945 varicella vaccine coverage 0.257435 doses MMR vaccine 0.203772 3-dose HPV vaccination 0.313473 vaccination provider-reported vaccination 0.22558 vaccines.†††† HPV vaccination 0.228602 HPV vaccine doses 0.336051 Tdap vaccination coverage 0.222366 HPV vaccination series 0.379517	CLICK HERE
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
4608	Centers for Disease Control and Prevention	Image	null	Photograph of fresh produce: Potatoes (700W x 933H)	null			CLICK HERE
5370	Centers for Disease Control and Prevention	Html	en	CDC Statement on Outbreak of STEC O104:H4 infections in Germany - Statement: June 1, 2011	CDC Statement on Outbreak of STEC O104:H4 infections in Germany	CDC 0.573513 recent travel 0.550395 frequently asked questions 0.531675 public health authorities 0.660819 Shiga toxin-producing E. 0.8175 largest E. coli 0.568358 state health departments 0.647971 disease control 0.483041 outbreak 0.602169 northern states 0.479088 prevention agency 0.483011 German public health 0.661105 proper diagnostic testing 0.52163 rare STEC strains 0.670258 rare strain 0.53638 life-threatening complication 0.483169 H4 infection 0.496049 medical provider 0.473522 health surveillance systems 0.524946 thorough hand washing 0.518712 specific food vehicle 0.523113 illness onset 0.478497 Shiga toxin-positive diarrheal 0.565871 Germany 0.583219 ongoing outbreak 0.528596	ill people 0.528221 United States 0.947896 kidney failure 0.477803 hemolytic uremic syndrome 0.555892 STEC infection 0.671158 U.S. travelers 0.479948 U.S. military personnel 0.529322 popular food item 0.52309 STEC O104 0.80996 STEC O104 infections 0.75992 specific food 0.535109 unusual strain 0.488202 E. coli 0.913284 toxin-producing E. coli 0.820194 STEC infections 0.817995 HUS 0.576304 HUS cases 0.515411 medical care 0.473569 Robert Koch Institute 0.55126 raw lettuce 0.47331 large outbreak 0.596926 basic hygiene practices 0.518239 Schleswig Holstein 0.475856 U.S. military bases 0.527629	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
9259	Centers for Disease Control and Prevention	Html	es	Preventing Chronic Disease - CDC: Volume 10, 2013: 12_0335	Volumen 10 — el 03 de julio de 2013.	típico entorno 0.289031	máquinas expendedoras 0.975572	CLICK HERE
11303	Centers for Disease Control and Prevention	Html	en	Lead - CDC's National Surveillance Data (1997-2012)	CDC’s National Surveillance Data (1997-2014)	medical treatment 0.418375 state child-specific databases 0.561253 CDC 0.352098 National Chart 0.301411 blood lead tests 0.718286 national surveillance 0.356162 blood lead test 0.422857 national database 0.312107 reporting level 0.306038 blood lead 0.952487 states 0.288181 data collection methods 0.408669 follow-up data 0.422595 View data 0.322152 KB 0.243897 elevated blood lead 0.890616 Lead Level Group 0.397438 population-based estimate 0.312031 health departments 0.422344 environmental investigations 0.418162 Lead Poisoning Data 0.419393	potential sources 0.417879 local health departments 0.416331 Surveillance fields 0.334567 program management purposes 0.38873 grantees 0.219937 elevated values 0.361811 child-specific surveillance databases 0.436448 duplicate test results 0.409925 Lead Level Rates 0.402956 state-specific data 0.327645 data elements 0.325807 childhood blood 0.339474 Blood Lead Level 0.497002 sequential test results 0.409803 Confirmed Elevated Blood 0.56668 individual children 0.317546 local level 0.30094 laboratories 0.236706 State surveillance systems 0.432256 lead exposure 0.414313	CLICK HERE
12861	Centers for Disease Control and Prevention	Html	en	Update: Ebola Virus Disease Epidemic - West Africa, February2015	On February 24, 2015, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr).	Port Loko 0.460707 Guinea Interministerial Committee 0.661029 Human Services 0.493397 Ebola virus transmission 0.615508 ebola virus 0.871346 Situational Awareness Team 0.506621 MMWR HTML versions 0.50172 U.S. Department 0.49347 MMWR Early Release 0.528687 Social Welfare 0.521183 electronic PDF version 0.494521 nonconfirmed cases 0.475305 Zoonotic Infectious Diseases 0.518424 situation reports 0.459106 National Center 0.465003 World Health Organization 0.84701 ongoing Ebola epidemic 0.598458 Contact GPO 0.46056 up-to-date infection control 0.498625 case reporting 0.46336 CDC Guinea Response 0.628088 original paper copy 0.495667 Ebola virus disease 0.809965 original MMWR paper 0.500332	U.S. Government Printing 0.499833 Sierra Leone 0.978618 Ebola Epidemiology Team 0.629066 Special Pathogens Branch 0.518937 CDC Sierra Leone 0.661361 Ebola cases 0.569864 MMWR website 0.473416 MMWR readers 0.459417 Ebola-related deaths 0.458841 Response Team 0.547282 FIGURE. Number 0.463082 case counts 0.467775 laboratory-confirmed cases 0.474849 highest number 0.465696 Liberia Ministry 0.570366 previously inaccessible communities 0.503968 Public Health Preparedness 0.517359 ongoing epidemic 0.469226 latest World Health 0.532268 Sierra Leone Ministry 0.691859 West Africa 0.616348 total case 0.514696 CDC Liberia Response 0.640452 confirmed cases 0.528813	CLICK HERE
13070	Centers for Disease Control and Prevention	Video	en	Screening for Colorectal Cancer: Optimizing Quality (CME). Primary Care Version Part 2	Part 2 of the Primary Care Version CME focuses on why stool blood testing should be offered to patients and the elements of high-quality stool testing, such as selecting an effective test, identifying eligible patients, communicating with patients effectively, high-quality test handling and processing, and ensuring high test completion rates and follow-up after abnormal test results. It is the second of three parts of a continuing education activity that provides guidance and tools for clinicians on the optimal ways to implement screening for colorectal cancer to help ensure that patients receive maximum benefit. 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/cancer/videos/colorectal/quality/Primary_Care2/CRC_Screening_Optimizing_Quality_Primary_Care2_256k.mp4	Quality 0.355409 Colorectal Cancer 0.945094	CME 0.630822 YouTube 0.605896	CLICK HERE
14365	Centers for Disease Control and Prevention	Html	en	Male-to-Male Sexual Transmission of Zika Virus - Texas,January 2016 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	Zika virus-infected blood 0.461506 sexual transmission case 0.459625 health care provider 0.450501 Human Services 0.501016 aegypti extrinsic incubation 0.441213 Zika virus 0.941894 active Zika virus 0.556576 anal sex 0.49638 Zika virus RNA 0.525008 autochthonous Zika transmission 0.487397 female sex partners 0.452056 slightly pruritic rash 0.443509 culturable Zika virus 0.515396 prior case report 0.450882 detectable Zika virus 0.585359 Zika virus disease 0.528249 Health Vector Control 0.441541 respective illness onsets 0.532232 infection-competent Zika virus 0.518351 public health practice 0.45335 saliva specimens 0.448224 Zika virus transmission 0.58069 autochthonous transmission 0.459373 primary care provider 0.442037 public health agencies 0.453047	vector-borne Zika virus 0.517267 semen 0.454018 Aedes species mosquitoes 0.457507 chikungunya virus 0.48422 State Health Services 0.445469 Zika virus infection 0.768836 transmitted Zika virus 0.599256 thawed semen samples 0.45238 present case report 0.483721 sexually transmitted infections 0.446897 pruritic rash 0.444015 local health 0.446515 local health departments 0.44159 Zika virus infections 0.541259 developed subjective fever 0.442355 sexual transmission 0.556672 sexually transmitted Zika 0.538967 Dallas County Health 0.506295 small joint arthritis 0.440922 vaginal sex 0.471423 vectors Aedes aegypti 0.451933 case reports 0.445782 dengue virus serotype 0.502143 patient B. Patient 0.477876	CLICK HERE