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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
764	Centers for Disease Control and Prevention	Html	en	Resolve to Undo Holiday Overindulgences | CDC Features	Getting healthy after over-indulging during the holiday season may not be easy at first, but it can be done. Here are some suggestions on cutting calories and being active.	good habits 0.368729 physical activity routine 0.518784 Portion Size Pitfalls 0.527509 extra calories 0.488874 larger portion sizes 0.516402 small bowl 0.381357 20-ounce sugar-sweetened soda 0.515654 fresh spinach 0.387812 creative ways 0.367399 healthy recipes 0.381611 pounds 0.285144 natural sweetness 0.393766 high-calorie food 0.395727 light cream cheese 0.547612 holiday comfort foods 0.545953 raw fruit 0.381181 eat breakfast 0.640645 weight management 0.387755 Eat More Weigh 0.518451 non-fat milk 0.395755 full-fat cheese 0.395584 high-fat creams 0.3895 Holiday Season Maintain 0.596471 Drink water 0.407128 Physical Activity website 0.530439	weight gain 0.404984 vegetables 0.30542 Physical Activity Guidelines 0.531674 lower-calorie ingredients 0.387634 fruits 0.309131 weight control 0.382991 cheese recipe 0.392879 sugar-sweetened beverages 0.375881 holiday season 0.754761 Regular physical activity 0.720849 butter 0.320687 Rethink Your Drink 0.407945 Visit CDC 0.364939 weight loss eat 0.631829 calories 0.576475 people 0.298806 physical activity 0.928783 meal 0.29284 Eat smaller food 0.650341 little pizzazz 0.383229 low-fat sauces 0.391445 lower-calorie version 0.387067 time 0.269675 veggies 0.351262	CLICK HERE
4926	Centers for Disease Control and Prevention	Html	en	2010 Haiti Cholera Outbreak: Cholera Treatment Workshop - Case Study Answers	CDC - Global Health	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
5115	Centers for Disease Control and Prevention	Html	en	Number of Americans with Diabetes Rises to Nearly 26 Million- Press Release: January 26, 2011 -	Number of Americans with Diabetes Rises to Nearly 26 Million	CDC 0.505493 distressing numbers 0.464701 national prevalence 0.464024 type 0.480629 Diabetes costs 0.650985 National Diabetes Prevention 0.739101 fact sheet 0.729237 U.S. Renal Data 0.503295 Disease Control 0.477117 Program—a joint effort 0.498677 Diabetes Educators 0.642871 risk factors 0.509631 cardiovascular disease risk 0.519746 Americans 0.485724 National Diabetes 0.799879 fact sheet estimates 0.523171 population age differences 0.496439 blood sugar levels 0.521604 Affordable Care Act 0.509865 u.s. department 0.495128 previous fact sheets 0.514091 National Diabetes Fact 0.773172 diabetes rates 0.65154 blood glucose 0.514222 Patient Information Reporting 0.4994	CDC surveys 0.476885 kidney failure 0.577943 Program research study 0.512922 percent 0.597039 U.S. Census Bureau 0.499904 diabetes cases 0.662416 Hemoglobin A1c 0.466515 gestational diabetes 0.66158 heart disease 0.476178 Diabetes Research Foundation 0.689468 NIH-led Diabetes Prevention 0.732072 direct medical expenses 0.501044 American Indians/Alaska Natives 0.603625 Health Service National 0.506263 National Diabetes Education 0.702015 U.S. adults 0.519593 human services 0.497077 Diabetes Prevention Program 0.836109 high blood pressure 0.498665 structured lifestyle program 0.509025 Ann Albright 0.462143 American Diabetes Association 0.691338 diabetes 0.961454 Diabetes Translation 0.683379	CLICK HERE
6778	Centers for Disease Control and Prevention	Html	en	A simulation model for designing effective interventions in early childhood caries.	Early childhood caries (ECC) — tooth decay among children younger than 6 years — is prevalent and consequential, affecting nearly half of US 5-year-olds, despite being highly preventable. Various interventions have been explored to limit caries activity leading to cavities, but little is known about the long-term effects and costs of these interventions.	fluoride varnish reduces 0.450373 restorative care 0.669808 preschool-age children 0.451672 various ECC interventions 0.519731 disease management interventions 0.494413 program costs 0.474441 children 0.980795 xylitol interventions 0.534611 cavity experience 0.522731 youngest children 0.448824 community water fluoridation 0.546553 high-risk children 0.559784 young children 0.479906 model 0.507739 restorative costs 0.440242 Associated caries reductions 0.441564 Maryland Dental School 0.465883 highest-risk children 0.484226 appropriate interventions 0.461079 early childhood caries 0.511774 caries activity 0.44703 oral health 0.458015 preventive interventions 0.452958 ECC interventions 0.570788 fluoride interventions 0.483644	untreated cavities 0.499698 Colorado preschool children 0.489736 fluoride varnish application 0.579376 various interventions 0.535271 caries experience 0.485361 Children’s Health 0.454745 cavity prevalence 0.530694 Colorado 0.500995 Colorado children 0.455357 motivational interviewing 0.477958 cariogenic bacteria 0.458999 ECC prevalence 0.491329 Fluoride varnish results 0.451229 Dental Health Project 0.474806 cavities 0.677131 public health 0.518842 fluoride varnish interventions 0.548926 different interventions 0.449597 behavioral interventions 0.439928 interventions 0.868287 policy makers 0.498484 simulated interventions 0.447987 chronic disease interventions 0.465971 symptomatic cavities 0.457354	CLICK HERE
6854	Centers for Disease Control and Prevention	Html	en	CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0119	We describe participants’ evaluations of a telephone-based, osteoarthritis self-management support intervention that yielded improved outcomes in a clinical trial.	North Carolina 0.499457 program’s helpfulness 0.396686 Visual Analog Scale 0.390211 self-reported general health 0.400218 Eugene Z. Oddone 0.368765 osteoarthritis self-management goals 0.402602 Arthritis Impact Measurement 0.428107 arthritis self-management course 0.405425 self-management support intervention 0.476348 clinical trial 0.526544 arthritis self-management program 0.378703 action plans 0.449801 participant characteristics 0.443079 University Medical Center 0.404018 osteoarthritis outcomes 0.428979 helpfulness ratings 0.562306 Hayden B. Bosworth 0.367153 health literacy 0.619397 overall helpfulness 0.495524 osteoarthritis symptoms 0.733841 low health literacy 0.420313 Duke University Medical 0.400828 helpfulness 0.795918 Arthritis Self-Efficacy Scale 0.392515 osteoarthritis self-management program 0.475752	va medical center 0.556728 educational materials 0.65274 health educator 0.76884 Health Services Research 0.522315 program helpfulness 0.621636 Development Service 0.406927 self-management support interventions 0.724795 Durham VA Medical 0.443543 participants 0.916215 5-point Likert scale 0.380501 pain 0.52373 medical center 0.558858 college education 0.447113 inadequate income 0.52517 overall helpfulness rating 0.412221 osteoarthritis self-management support 0.722029 overall program helpfulness 0.492644 higher scores 0.426597 Impact Measurement Scales 0.420334 health literacy level 0.496389 Nina R. Sperber 0.369724 arthritis self-efficacy 0.400203 severe osteoarthritis symptoms 0.367912 worse osteoarthritis outcomes 0.374924	CLICK HERE
8129	Centers for Disease Control and Prevention	Html	en	Sodium and Food	null	average 0.412431 fact 0.413382 access 0.413048 high levels 0.466623 different sodium levels 0.734114 milligrams 0.413227 restaurant foods 0.486743 cottage cheese 0.466156 example 0.424343 day.2 0.413205 sodium Americans 0.763331 canning 0.414658 salt shaker 0.476292 milling. 0.412678 chicken noodle soup 0.529205 mg 0.447444 dehydration 0.416058 term 0.412776 cooking 0.428753 power 0.41302 table 0.414625 consumer 0.413004 sodium food options 0.77614 lower sodium choices 0.742931	types 0.422231 billions 0.416867 product 0.412736 cases 0.412986 rolls—to eggs 0.471048 sodium content 0.739012 daily sodium 0.714279 health care dollars 0.53922 Processing certain foods 0.536736 raw chicken 0.46732 lower sodium 0.767271 raw agricultural commodity 0.533799 Different brands 0.465481 food matter 0.58061 Dietary Guidelines 0.55265 grocery store 0.468302 sodium 0.924211 freezing 0.414304 high blood pressure 0.537761 millions 0.413622 growth 0.412616 healthy eating pattern 0.533839 breast deli meat 0.520828	CLICK HERE
8890	Centers for Disease Control and Prevention	Html	en	Global Health - Polio - What CDC Is Doing	Polio is a crippling and potentially deadly infectious disease caused by a virus that spreads from person to person invading the brain and spinal cord and causing paralysis. CDC is a strategic partner in the overall effort to eradicate polio worldwide.	STOP program 0.595005 polioviruses 0.455144 environmental surveillance 0.591749 vaccination campaigns 0.573267 Global Immunization Division 0.814797 new polio infection 0.957018 immunization activities 0.821549 disease control 0.755684 early sign 0.577173 Disease eradication 0.650603 vaccine efficacy studies 0.758185 supplemental immunization activities 0.804934 Picornavirus Laboratory 0.600654 GID 0.516889 Director 0.431741 commitment 0.433762 sustainability 0.433569 CDC’s Division 0.601035 Country support 0.576578 team members 0.571255 polio surveillance 0.85866 genomic sequencing 0.587444 new laboratory procedures 0.737066 finish line 0.613734	rapid detection 0.570285 sensitivity 0.432999 importations 0.450063 programmatic assistance 0.599258 possible polio 0.802853 Viral Diseases 0.587053 wild poliovirus 0.577319 epidemiologic 0.444868 polio detection 0.795685 technical assistance 0.572344 operational research 0.594803 Additional efforts 0.573679 Dr. Tom Frieden 0.783019 critical diagnostic services 0.737258 specific operational challenges 0.726565 multiple countries 0.605457 eradication projects 0.618233 Global Specialized Laboratory 0.756557 improved laboratory procedures 0.740913 5-month assignments 0.592401 disease control efforts 0.740319 sub-national levels 0.595027 faster response 0.577767 global polio laboratory 0.99198	CLICK HERE
9913	Centers for Disease Control and Prevention	Html	en	NIOSH Program Portfolio : Total Worker Health : Program Description	The TWH Program includes an intramural component and an extramural component, comprised of four Centers of Excellence to Promote a Healthier Workforce. Both of these components conduct research on the integration of health protection and health promotion; communication of current knowledge, successful approaches, and challenges, and advocacy of the concepts and practices of total worker health to our partners and stakeholders.	worker well-being 0.429114 traditional safety programs 0.209467 Worker Health Program 0.343435 TWH Program 0.245073 health promotion activities 0.239305 Total Worker Health® 0.471769 health promotion 0.352716 worker resiliency 0.237951 occupational health 0.240856 health protection programs 0.277836 NIOSH Total Worker 0.423582 occupational health services 0.231339 occupational health clinics 0.230647 work-related safety 0.219449 health conditions 0.228835 Health approach advocates 0.229574 health hazards 0.242378 TWH approach 0.219814	health professionals 0.200885 health promotion programs 0.240861 Traditional occupational safety 0.226673 TWH 0.286622 health promotion leadership 0.229983 motor vehicle safety 0.202066 Worker Health Website 0.373339 health protection 0.341013 integrate protection 0.208039 respiratory protection programs 0.201638 Total Worker Health 0.972188 overall worker health 0.344617 health problems 0.200639 work-related risk factors 0.202382 illness prevention efforts 0.288211 Worker Health approach 0.395147 NIOSH WorkLife Initiatives 0.213388	CLICK HERE
10889	Centers for Disease Control and Prevention	Html	en	CDC concludes Indiana MERS patient did not spread virus to Illinois business associate | Press Release | CDC Online Newsroom	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	active infection 0.496486 MERS-CoV antibodies 0.512189 CDC 0.808625 CDC labs 0.677395 respiratory samples 0.499694 separate tests 0.489283 definitive laboratory tests 0.589749 MERS-CoV 0.617277 Respiratory Syndrome Coronavirus 0.572073 face-to-face contact 0.490441 definitive serology test 0.611553 voluntary serology testing 0.593282 definitive test 0.493336 immunofluorescent assay 0.497783 IFA results 0.495921 Indiana MERS patient 0.959817 active MERS-CoV infection 0.574176 global scientific community 0.541523 careful interpretation 0.480469 Illinois man 0.5391 additional blood samples 0.547696 serology testing 0.606292 Preliminary ELISA 0.494374 East Respiratory Syndrome 0.737809 CDC officials 0.610561	David Swerdlow 0.497716 initial ELISA 0.492516 voluntary testing 0.493603 blood samples 0.566664 public health threat 0.677147 IFA serology results 0.621271 undue concern 0.483799 vigilant approach 0.482194 business meeting 0.495986 immediate public health 0.540751 Saudi Arabia 0.495501 immune response 0.486239 Illinois associate 0.500512 close contact 0.48226 Illinois resident 0.742292 antibody test 0.485349 polymerase chain reaction 0.566802 potential public health 0.547141 Middle East Respiratory 0.737865 CDC scientists 0.579106 MERS recommendations 0.555763 local public health 0.576288 MERS-CoV response 0.496568 enzyme-linked immunosorbent assay 0.571162	CLICK HERE
12858	Centers for Disease Control and Prevention	Html	en	Rapid Intervention to Reduce Ebola Transmission in a RemoteVillage - Gbarpolu County, Liberia, 2014	David J. Blackley, DrPH1, Kim A. Lindblade, PhD2, Francis Kateh, MD3, Laura N.	health authorities 0.547232 Satish K. Pillai 0.535383 John C. Neatherlin 0.535013 Ebola treatment unit 0.687226 David J. Blackley 0.647039 separate Ebola introductions 0.637435 Public health interventions 0.584184 Ebola virus transmission 0.636067 bong county 0.881921 remote village 0.561266 Ebola cases 0.623063 international partners 0.595034 Ebola virus 0.85171 local health department 0.579595 probable cases 0.547317 Zoonotic Infectious Diseases 0.586976 source patient 0.583402 County community care 0.567728 village 0.643763 Bong ETU 0.822348 farmer B. Preparations 0.549958 active case finding 0.534533 family members 0.601395 county health official 0.582658	severely ill stepmother 0.556655 National Center 0.544095 Global Health Protection 0.549322 Kim A. Lindblade 0.532281 World Health Organization 0.668706 gbarpolu county health 0.65833 previously identified cases 0.571995 Global Health 0.552301 additional Geleyansiesu residents 0.541124 local community health 0.574542 patients 0.563335 Ebola patient contacts 0.688662 county health team 0.974199 Bong County ETU 0.651932 public health response 0.759142 Gbarpolu County 0.754071 community care center 0.701615 southeastern Gbarpolu County 0.552891 quarantine center 0.536988 bong county health 0.770052 limited no-touch treatment 0.536964 Ebola 0.907658 ill Geleyansiesu residents 0.553638	CLICK HERE