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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
625	Centers for Disease Control and Prevention	Html	en	A 13-Minute DVD Increases HPV Vaccination | CDC Features	August is National Immunization Awareness Month. Learn more about a 13-minute DVD that effectively promotes and increases the completion of the 3-dose HPV vaccine series that prevents most types of cervical cancer.	young women 0.623021 high rates 0.46081 C. HPV knowledge 0.590294 Kentucky PRC 0.624473 Crosby RA 0.497017 health care providers 0.75366 rural participants 0.468063 Public Health Services 0.503696 public health partners 0.502389 National Coordinating Center 0.49112 cervical cancers 0.479004 low HPV vaccination 0.671369 cervical cancer 0.666666 vaccine series completion 0.516382 rural young women 0.536443 Kentucky PRC website 0.517769 Pub Health Nurs. 0.494597 Kentucky Prevention Research 0.522599 human papillomavirus 0.46024 rural health care 0.524055 lower rates 0.468673 higher rates 0.467566 cancer-related disparities 0.464106 lower vaccination rates 0.543497 HPV vaccination 0.911017	HPV vaccine uptake 0.617614 Prev Chronic Dis. 0.581909 young adult women 0.514022 Vanderpool RC 0.547079 HPV vaccine 0.767523 genital warts 0.558766 HPV vaccination rates 0.84326 rural clinic 0.46588 1-2-3 Pap 0.560088 rural community college 0.512136 Research Centers Program 0.495202 contact Robin Vanderpool 0.51154 rural Appalachian Kentucky 0.543299 Appalachian Kentucky 0.594345 tailored 13-minute DVD 0.509192 local health departments 0.504261 free HPV vaccination 0.619298 public health 0.531649 Appalachian women 0.474533 Head KJ 0.496522 HPV vaccine series 0.70568 rural communities 0.464208 commonly reported reasons 0.494543 region-specific educational campaigns 0.496905	CLICK HERE
1247	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Association Between Contraceptive Use and Gestational Diabetes: Missouri Pregnancy Risk Assessment Monitoring System, 2007"2008 - CDC	The efficacy and safety of contraceptives have been questioned for decades; however, whether a relationship exists between hormonal contraceptives and gestational diabetes (GDM) is undetermined. The aim of this study was to investigate whether maternal risk for GDM was influenced by type of contraceptive method used before pregnancy.	recent pregnancy 0.57313 nonhormonal contraceptive methods 0.615937 Senior Services 0.583099 prenatal maternal morbidities 0.57395 higher odds 0.637186 GDM merits 0.651056 type 0.573119 pregnancy weight gain 0.573404 high blood glucose 0.659026 hormonal contraception 0.674977 contraceptive patches 0.582885 GDM 0.947515 birth control methods 0.656315 GDM given exposure 0.710672 Pregnancy Risk Assessment 0.646688 hormonal methods 0.750869 gestational diabetes 0.622267 predictor variables 0.578953 marital status 0.582859 PRAMS survey 0.579437 PRAMS C-PONDER query 0.592454 increased risk 0.59025 intermediate prenatal care 0.574312 barrier methods 0.688605	potential risk factor 0.617709 hormonal forms 0.587231 risk factors 0.582386 hormonal contraceptives 0.622 contraceptive method 0.708164 pregnancy 0.738359 Missouri Pregnancy Risk 0.649751 PRAMS 0.669807 Missouri PRAMS respondents 0.606865 contraception 0.728651 prenatal care 0.816617 Missouri Department 0.584197 Medicaid status 0.583343 birth control 0.727262 Missouri state PRAMS 0.595623 GDM prevalence 0.662481 weighted response rate 0.612937 hormonal birth control 0.611006 adequate prenatal care 0.690055 hormonal contraceptive methods 0.707901 prenatal care services 0.574041 Risk Assessment Monitoring 0.632698 fertility awareness 0.583846	CLICK HERE
5313	Centers for Disease Control and Prevention	Html	en	CDC's Yellow Book provides useful tips on healthy international travel - Press Release: May 9, 2011	Updated CDC Travel Health Book Released	Nile River cruises 0.651543 New itineraries 0.570331 digitally downloadable book 0.64758 hajj pilgrimage 0.6923 Health Branch 0.591129 travel health preparations 0.72152 southern Florida 0.536928 native countries 0.529799 new edition 0.553789 new information 0.54927 CDC Health Information 0.852854 travel health threats 0.714409 international disease outbreak 0.672506 new popular travel 0.766089 cruise ship travel 0.670481 lets travelers search 0.683745 Internet book sellers 0.64833 particular knowledge 0.540147 jet lag 0.529154 Yellow Book 0.935049 World Cup 0.533233 popular international destination 0.692701 South Africa 0.541085 HUMAN SERVICES 0.529359 yellow fever 0.579817	safe trip 0.544048 planning activities 0.546529 mosquito-borne disease 0.548496 new features 0.56368 Saudi Arabia 0.53913 travel health 0.864492 U.S. DEPARTMENT 0.529494 Oxford University Press 0.636731 military deployments 0.56458 international adoptions 0.546495 previous Yellow Book 0.703803 travel health experts 0.741511 international travel 0.689773 Health website 0.565477 certain parts 0.529811 definitive health guide 0.742494 new sections 0.583024 Popular features 0.541208 international travelers 0.700914 edition Yellow Book 0.780409 travel health recommendations 0.773508 health risks 0.578171 popular destinations 0.544052 Dr. Gary Brunette 0.68383	CLICK HERE
5808	Centers for Disease Control and Prevention	Html	en	Propylene imine - 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
7260	Centers for Disease Control and Prevention	Html	en	Public Health Surveillance Data: Legal, Policy, Ethical,Regulatory, and Practical Issues	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.	restricted data files 0.313178 Certain data systems 0.332527 data 0.914747 data stewards 0.37274 federal data systems 0.323867 data collection programs 0.332644 NCHS Research Data 0.312325 detailed NVDRS data 0.302331 sensitive surveillance data 0.350222 public health community 0.312303 data collection processes 0.320547 health surveillance interventions 0.307892 public health surveillance 0.910281 data sets 0.397032 Security Disability data 0.329996 state data owners 0.31161 restricted data sets 0.311723 confidential data 0.305184 surveillance programs 0.413696 data sharing methods 0.326323 administrative data 0.310746 survey data 0.317557 certain data 0.335276 public use data 0.331092	medical records data 0.327788 program data 0.30253 vital statistics data 0.354166 potential data users 0.341891 public health programs 0.314964 Multiple data sets 0.306747 data collection systems 0.315932 data collection 0.454548 health surveillance programs 0.410966 time data 0.301007 new data elements 0.309075 health surveillance data 0.376261 collect surveillance-related data 0.303598 certain data stewards 0.309396 data security technique 0.318855 Sharing Data states 0.316031 new data 0.314394 regulatory data 0.307607 data systems 0.37631 identifiable data 0.303827 governmental data collection 0.321071 data release 0.313054 specific data needs 0.314945	CLICK HERE
7875	Centers for Disease Control and Prevention	Html	en	Ulcers - Health Communication	Gateway to Health Communication and Social Marketing Practice - Ulcers	gnawing 0.32668 antibiotic regimens 0.396741 breath test 0.392371 burning pain 0.412104 H. pylori 0.739168 bacterium Helicobacter 0.407266 bowel movements 0.396151 stomach 0.379938 national health care 0.464801 belly button 0.402951 chronic ulcer patients 0.667631 appropriate antibiotic treatment 0.479728 spicy foods 0.392319 H. pylori infection 0.53045 appropriate antibiotics 0.40005 ulcers bleed 0.487682 small tube 0.390475 ibuprofen 0.32273 first-time ulcer patients 0.664524 over-the-counter medications 0.390053 hero physician 0.383253 35-year-old woman 0.385853 receptor antagonists 0.395823 NSAIDS 0.323291 early morning 0.402073	new cases 0.391861 annual impact 0.391086 antibiotic-based therapy 0.387769 recurrent abdominal pain 0.595254 abdomen 0.324384 ulcer-related hospitalizations 0.399094 ulcer disease 0.737193 common ulcer symptom 0.749317 long time 0.398273 peptic ulcer disease 0.678269 blood test 0.390723 endoscopy 0.335844 non-steroidal anti-inflammatory drugs 0.485264 acid-reducing medications 0.386099 pelvic inflammatory disease 0.458453 people 0.350162 common symptoms 0.395538 duodenum 0.32495 Ulcer pain 0.665485 fallopian tubes 0.387174 traditional ulcer treatment 0.66615 ulcer 0.90721 Primary care physicians 0.456758 ulcer symptoms 0.60435	CLICK HERE
11228	Centers for Disease Control and Prevention	Html	es	El cáncer, la influenza y usted	Tener cáncer aumenta el riesgo de sufrir complicaciones por la influenza. Las personas con antecedentes de cáncer deben recibir la vacuna contra la influenza.	Archivo Apple Quicktime 0.777103 Archivo RealPlayer 0.675421 Archivo Zip Comprimido 0.772963 Archivo Microsoft PowerPoint 0.801009	Archivo Adobe PDF 0.776441 Archivo Microsoft Excel 0.775106 Eduardo Azziz-Baumgartner 0.68822 Archivo Microsoft 0.968285	CLICK HERE
14190	Centers for Disease Control and Prevention	Html	en	Evaluation of Routine HIV Opt-Out Screening and Continuum ofCare Services Following Entry into Eight Prison Reception Centers -California, 2012 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	California prison inmates 0.420869 high rates 0.45276 release 0.433449 California Correctional Health 0.482212 prison HIV 0.436255 viral load 0.652393 uninterrupted care 0.508806 state prisons 0.440868 new HIV 0.415055 viral suppression 0.767973 reception center 0.486039 HIV risk behaviors 0.436534 health care providers 0.459288 HIV RNA copies/mL 0.457448 CCHCS HIV 0.413769 California state prison 0.528326 patient-inmates 0.49825 undetectable viral load 0.552676 integrated HIV 0.428928 viral load test 0.598767 HIV specialty clinic 0.444311 Health Care Services 0.492783 prevents HIV transmission 0.458192 ART 0.547731 prison inmates 0.425313	ART response 0.419713 linkage 0.461101 HIV tests 0.424334 viral suppression rates 0.43644 new diagnoses 0.416712 uninterrupted care post-release 0.412547 Routine HIV 0.456887 HIV continuum 0.414249 Correctional Health Care 0.49535 HIV opt-out screening 0.924583 HIV diagnoses 0.412532 HIV diagnosis 0.477186 newly diagnosed HIV 0.578163 HIV screening rates 0.456172 local health departments 0.436009 public health 0.446503 previously diagnosed infection 0.431216 HIV test 0.452331 community health care 0.460726 newly diagnosed infection 0.492658 HIV screening 0.53404 HIV testing 0.428364 California state prisons 0.437464 HIV infection 0.797809	CLICK HERE
14357	Centers for Disease Control and Prevention	Html	en	Multistate Outbreak of Salmonella Muenchen Infections Linked to Alfalfa Sprouts Produced by Sweetwater Farms | February 2016 | Salmonella	Multistate Outbreak of Salmonella Muenchen Infections Linked to Alfalfa Sprouts Produced by Sweetwater Farms	Salmonella 0.437798 PulseNet 0.296873 ill person 0.29798 Public health investigators 0.331697 national database 0.273019 contaminated seeds 0.270479 regulatory officials 0.346669 outbreak case count 0.281526 likely source 0.274174 Salmonella Muenchen infections 0.30117 possible outbreaks 0.277835 outbreak 0.339444 DNA fingerprinting 0.274187 U.S. Food 0.27656 Kansas Department 0.310526 traceback investigations 0.310585 Salmonella Cubana 0.332023 median age 0.273746 brand alfalfa sprouts 0.341696 public health partners 0.266056 alfalfa sprouts 0.813702 public health officials 0.392152 pulsed-field gel electrophoresis 0.342619 national subtyping network 0.34154 ill people 0.983971	Salmonella bacteria 0.307631 multistate outbreak 0.293567 FDA 0.270605 Collaborative investigative efforts 0.329952 regulatory agency laboratories 0.336194 Drug Administration 0.280551 food regulatory agency 0.334182 CDC PulseNet database 0.268909 Salmonella infections 0.277932 multiple states 0.271102 public health 0.595679 additional ill people 0.304868 outbreak strain 0.284801 Sweetwater Farms 0.708858 Salmonella Kentucky 0.33566 Case Count Map 0.271978 DNA fingerprint 0.308448 contaminated sprouts 0.298503 possibly eating sprouts 0.386783 local public health 0.318893 irrigation water 0.315721 DNA fingerprints 0.274399 Salmonella Muenchen 0.428571 federal public health 0.324017	CLICK HERE
16190	Centers for Disease Control and Prevention	Html	en	Epilepsy Among Iraq and Afghanistan War Veterans - UnitedStates, 2002-2015 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	epilepsy 0.909832 demographic characteristics 0.700492 epilepsy identification 0.579472 VA vital status 0.535533 excess mortality 0.609547 times more IAV 0.546267 Veterans Health Administration 0.553679 U.S. Department 0.543899 significantly higher mortality 0.556233 VA national health 0.504376 comorbid conditions mortality 0.523026 health care providers 0.537466 social service providers 0.583096 epilepsy ascertainment criteria 0.618432 traumatic brain injury 0.584374 epilepsy criteria 0.729144 physical comorbidity 0.537716 community health 0.507588 epilepsy prevalence 0.591318 Epilepsy Program 0.583081 Memorial Veterans Hospital 0.521136 medical chart abstraction 0.5134 largest excess mortality 0.503311 epilepsy care 0.601788	IAV 0.769638 psychiatric comorbidity 0.534955 proportional hazards regression 0.516137 disease self-management programs 0.521195 epilepsy specialty care 0.650633 epilepsy study criteria 0.647112 Affairs Epilepsy Centers 0.639609 IAV population 0.538983 unadjusted Kaplan-Meier estimator 0.520057 United States veterans 0.504876 comorbid conditions 0.63693 Veterans Affairs Epilepsy 0.664428 VA care 0.568417 hazards regression models 0.516737 5-year mortality 0.509721 evidence-based chronic disease 0.580303 health care 0.554741 epilepsy status* 0.580198 chronic disease self-management 0.517813 Afghanistan conflicts 0.517765 epilepsy group 0.652092 Veterans Health Care 0.511992 multidisciplinary epilepsy specialty 0.61071 vital status records 0.517075	CLICK HERE