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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
698	Centers for Disease Control and Prevention	Html	en	Sabemos Podcasts - Smoking & Tobacco Use	Download and listen to Sabemos tobacco-related podcasts/radio PSAs for reliable health information when and where you want it.	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
793	Centers for Disease Control and Prevention	Html	en	Algal Bloom-Associated Disease Outbreaks Among Users ofFreshwater Lakes - United States, 2009-2010	Elizabeth D. Hilborn, DVM1, Virginia A. Roberts, MSPH2, Lorraine Backer, PhD3, Erin DeConno4, Jessica S.	Water testing practices 0.457409 Algal Bloom-Related Illness 0.522326 inhalation exposure 0.481621 contact exposure 0.479067 exposure assessment 0.467183 toxic cyanobacteria 0.475449 recreational waters 0.704371 human exposure 0.467085 freshwater lakes 0.453389 water sampling results 0.469444 HAB-associated outbreaks 0.813035 freshwater hab-associated outbreaks 0.725394 visible algal scum 0.486497 evidence-based prevention strategies 0.491967 exposure routes 0.466771 World Health Organization 0.453498 CFU/100 mL 0.564448 cyanotoxins exposure 0.51187 persons 0.48454 HAB-associated recreational waterborne 0.455389 exposure 0.797249 freshwater HABs 0.476819 outbreaks 0.951901 Environmental Protection Agency 0.525821 HAB-associated health effects 0.492202	multiple health effects 0.473514 health effects 0.824913 HAB-associated illness 0.664385 United States 0.485697 frequent exposure 0.465731 waterborne disease outbreaks 0.716232 recreational water exposure 0.649437 true exposure route 0.52072 outbreak investigations 0.589343 algal bloom–associated outbreaks 0.613808 exposure period 0.460319 human health data 0.485643 potentially severe health 0.54439 recreational water quality 0.558706 cyanobacteria 0.528305 harmful algal blooms 0.766428 public health 0.482016 untreated recreational water 0.498843 recreational water 0.726923 cyanobacteria blooms 0.454763 ingestion exposure 0.488661 outbreak surveillance 0.455418 potentially toxic cyanobacteria 0.464723 National Outbreak Reporting 0.483472	CLICK HERE
4689	Centers for Disease Control and Prevention	Html	en	Principles to guide the development of population health incentives	null	flat payment 0.516912 health care provider 0.555089 performance incentives 0.535006 primary care physician 0.531085 financial incentives 0.614539 New York City 0.599744 health outcomes 0.56936 incentive 0.942376 overall health outcomes 0.528818 different performance indicators 0.530586 health care providers 0.585879 behavior change 0.598426 incentive programs 0.737548 health care targets 0.55315 population health 0.584233 child support enforcement 0.568919 primary care services 0.533171 good incentive programs 0.634138 incentive arrangements 0.633672 alternative care arrangements 0.528337 decision makers 0.717226 financial incentive 0.880612 health care costs 0.555764 graduated payment arrangement 0.545177 health care choices 0.549101	incentive plans 0.610571 primary care provider 0.62538 health care organizations 0.558086 primary care doctors 0.541121 negative incentive 0.58199 consequent outcomes 0.526297 high-risk patients 0.549491 example 0.523895 incentives 0.655242 comparative effectiveness research 0.553634 preventive health visits 0.583561 lower-income decision makers 0.512553 incentive arrangement 0.746776 health care 0.926924 true health care 0.566059 possible adverse effects 0.605855 preventive health screening 0.521849 following basic principles 0.605413 incentive payments 0.602069 performance 0.570661 health care sector 0.545433 cash incentive 0.602437 Incentive payment systems 0.643842 primary care 0.666769	CLICK HERE
7912	Centers for Disease Control and Prevention	Html	en	Global Health - Nigeria - Tobacco	null	Surveillance System Website 0.444457 country capacity 0.451722 components 0.32417 implementation process 0.42887 endorsement 0.333863 tobacco control indicators 0.678718 nationally-representative estimates 0.432276 Tobacco Survey 0.65124 FCTC 0.352211 GYTS protocol adaptation 0.54368 Framework Convention 0.449482 Content source 0.431271 technical support 0.444084 HHS 0.336617 Global Tobacco Surveillance 0.93034 Notice 0.323369 Nigeria 0.481207	Global Youth Tobacco 0.7083 key articles 0.447685 World Health Organization 0.575674 data analysis 0.424785 third-round implementation 0.435804 Global Adult Tobacco 0.706579 Visit CDC 0.480864 MPOWER technical package 0.592104 GTSS 0.32466 country report 0.423492 non-federal site 0.442676 tobacco control interventions 0.754898 GATS 0.462718 information 0.338877 time 0.321614 employees 0.320192 tobacco control 0.785971	CLICK HERE
8022	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Evaluation of the DiabetesHealth Plan to Improve Diabetes Care and Prevention - CDC	Investigators from the University of California, Los Angeles (UCLA), and members of the leadership and data analysis teams at UnitedHealthcare (UHC) are partnering to evaluate the Diabetes Health Plan (DHP), an innovative disease-specific insurance product designed by UHC specifically for patients with prediabetes or diabetes.	diabetes prevention 0.484495 health insurance 0.532085 follow-up minus baseline 0.463033 Human Services 0.49054 medication adherence 0.433783 value-based insurance design 0.44644 DHP enrollment 0.598997 UCLA research team 0.42224 research team 0.44741 risk factor control 0.41792 Disease Control 0.510345 David Geffen School 0.463975 DHP programs 0.596062 data analysis teams 0.51749 patients 0.479685 Affordable Care Act 0.492851 Internet-based communication 0.41407 value-based insurance 0.513322 employer groups 0.508581 quasi-experimental design 0.531109 health insurance exchanges 0.441585 study 0.429514 United States 0.470658 telephone coaching 0.416771 DHP 0.959587	diabetes care 0.600715 Diabetes Health Plan 0.693479 value-based insurance designs 0.422778 DHP components 0.63268 public health stakeholders 0.539626 health care 0.453007 DHP employers 0.642412 non-DHP groups 0.426162 diabetes incidence 0.528149 health insurance options 0.445131 adherence 0.438187 diabetes-specific care management 0.43745 secular time trends 0.4606 value-based insurance option 0.418425 UHC insurance products 0.458672 insurance products 0.463149 innovative disease-specific insurance 0.432614 diabetes management 0.506536 multifaceted diabetes care 0.551045 health plan data 0.457343 Public Health Service 0.431484 value-based insurance products 0.425104 Los Angeles 0.549892 diabetes 0.766589	CLICK HERE
10646	Centers for Disease Control and Prevention	Html	en	Overview' Communicating in the First Hours	The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency.	problem 0.253717	resource 0.253109	CLICK HERE
10661	Centers for Disease Control and Prevention	Html	en	Carbon Monoxide Dangers in Boating - NIOSH Workplace Safety and Health Topic	null	propulsion engines 0.762001 death 0.246 engine exhaust 0.54996 trained technicians 0.44795 areas 0.273529 Interior 0.250737 family member 0.457552 assistance 0.25068 battery 0.245472 measurement 0.249412 research 0.24726 Occupational Safety 0.502237 states 0.246215 Department 0.250795 boating-related poisonings 0.91003 exhaust vents 0.567559 houseboats 0.488425 initial investigation 0.78681 epidemiologic data gathering 0.777047 National Institute 0.500484	Stay 0.244178 medical help 0.458278 exhaust system maintenance 0.545401 National Center 0.446223 summary 0.247315 dangerous concentrations 0.514059 Environmental Health 0.444347 NIOSH 0.276594 Schedule regular engine 0.644384 hazardous CO concentrations 0.544812 poisonings 0.960292 exposures 0.269613 National Park Service 0.758401 marine environment 0.469457 U.S. Coast Guard 0.756737 Lake Powell 0.50228 generators 0.249562 visitor 0.250298 detector 0.252589 employee carbon monoxide 0.776616	CLICK HERE
13317	Centers for Disease Control and Prevention	Html	en	Evaluate Actions - Tools for Successful CHI Efforts - ChiNav - CDC	Our health and well-being are products of not only the health care we receive and the choices we make, but also the places where we live, learn, work, and play. Community health improvement (CHI) is a process to identify and address the health needs of communities	intermediate outcomes 0.46982 IRS Final Rule 0.860946 IRS Form. 0.496366 Health Needs Assessments 0.995358 health equity 0.458628 CHI efforts 0.462835 significant health 0.450874 user-friendly measurement 0.463409 hospital organization 0.540074 Relevant Excerpts 0.452314 legal advice 0.439125 Main Section 0.453588 Public Inspection 0.441719 key concept 0.458143 Political Organization IRS 0.616853 C.F.R. pts 0.444306 implementation strategy 0.543027 additional tools 0.455154 IRS Form 4506-A 0.620893 Excise Tax Return 0.552213 local practice 0.455214 evaluation feedback 0.45736 Community Health Needs 0.986534 effective evaluation 0.63434 Charitable Hospitals 0.797951	environmental strategies 0.456286 Checklist tabs 0.443501 community change process 0.598994 Internal Revenue Service 0.575373 privately-funded organizations 0.452556 legal professional 0.437869 key concepts 0.961712 regular basis 0.447102 systems 0.354415 31Additional Requirements 0.439575 regulatory guidance 0.43382 copy 0.361804 population health improvement 0.584183 CHNA report 0.453845 immediately preceding CHNA 0.577312 filing organization 0.442797 policy design 0.459732 health-equity considerations 0.45394 CHI process 0.476097 continuous evaluation results 0.599166 hospital facility 0.80931 specific circumstance 0.44666 Web page 0.445126 outline critical elements 0.616285	CLICK HERE
15472	Centers for Disease Control and Prevention	Html	en	Human Papillomavirus-Associated Cancers - United States,2008-2012 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	9-valent HPV vaccine 0.499371 U.S. standard population 0.381004 ICD-O-3 histology codes 0.508237 anatomic sites 0.422556 specific cell types 0.372832 HPV vaccination 0.370818 United States 0.380263 site code C20.9 0.36299 HPV vaccination programs 0.359462 squamous cell cancers 0.450969 oropharyngeal cancers 0.382546 HPV types 0.759929 population-based cancer registries 0.578019 site codes C60.0–60.9 0.36434 ICD-O-3 site 0.579106 site codes C51.0–C51.9 0.364398 squamous cell 0.584402 additional HPV types 0.404601 future HPV-attributable cancers 0.37591 ICD-O-3 site code 0.575502 ICD-O-3 site codes 0.56144	high-risk HPV types 0.36431 HPV-associated cancer 0.386079 end results program 0.517279 9-valent HPV vaccines 0.421281 site code C52.9 0.36322 HPV DNA presence 0.365673 cervical cancer screening 0.416907 HPV-attributable cancers 0.396033 site codes C01.9 0.364159 HPV DNA 0.510788 cervical cancers 0.461524 squamous cell carcinomas 0.381719 HPV-associated cancers 0.913486 National Program 0.367286 available HPV vaccines 0.362676 HPV vaccines 0.522164 specific anatomic sites 0.377802 site code C21.0–C21.9 0.363047 oncogenic HPV types 0.448584 cancer incidence 0.396304	CLICK HERE
15971	Centers for Disease Control and Prevention	Html	en	Women Trying to Become Pregnant Through Fertility Treatment	Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention.	Error processing SSI 0.921948	Pregnant 0.331147	CLICK HERE