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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
968	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Multistate Outbreak of HumanSalmonella Infections Linked to Live Poultry from a Mail-OrderHatchery in Ohio - March-September 2013	Colin Basler, DVM1, Tony M. Forshey, DVM2, Kimberly Machesky, MPH3, C. Matthew Erdman, DVM, PhD4, Thomas M.	poultry flock owners 0.544862 human Salmonella outbreaks 0.534113 average time 0.318269 outbreak strains 0.374682 human illness 0.340207 feed store environment 0.404401 Human Services 0.397243 control programs 0.318304 outbreak investigation 0.355714 U.S. Department 0.505746 MMWR HTML versions 0.407077 likely source 0.320128 comprehensive approach 0.313845 electronic PDF version 0.39825 ill persons 0.931874 purchase information 0.324013 comprehensive Salmonella prevention 0.510747 supplemental live poultry 0.594994 Contact GPO 0.331355 Plan.* Additional owner 0.415244 commercial sources 0.312953 animal health officials 0.406426 live poultry purchases 0.565465 original paper copy 0.401356	illness onset 0.465465 source flocks 0.435081 sanitation practices 0.316802 U.S. Government Printing 0.412655 original MMWR paper 0.40395 breeder farms 0.318068 MMWR readers 0.318002 human Salmonella infections 0.573102 Ohio hatchery 0.370232 chick exposure 0.328449 molecular subtyping network 0.458521 Salmonella serotypes Infantis 0.553412 live poultry contact 0.603416 Sixty-nine percent 0.36576 young poultry 0.573912 single mail-order hatchery 0.778198 typeset documents 0.312269 trade names 0.313011 non-CDC sites 0.312004 National Poultry Improvement 0.551785 live poultry 0.993735 live poultry exposure 0.599542 mail-order hatcheries 0.601637 foodborne bacteria 0.332984	CLICK HERE
6441	Centers for Disease Control and Prevention	Html	en	State-Specific Prevalence of No Leisure-Time Physical Activity Among Adults With and Without Doctor-Diagnosed Arthritis - United States, 2009	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.	percent arthritis impact 0.583746 substantial proportion 0.209844 high rates 0.200265 physical inactivity prevalence 0.292915 overall prevalence 0.226911 lowest prevalence 0.214826 adults 0.509045 disparity gap 0.303165 complex sample design 0.22025 unstandardized prevalence 0.354692 percent disparity gap 0.240441 prevalence 0.480894 arthritis symptoms 0.342374 health communication campaigns 0.226934 LTPA 0.462588 physical activity programs 0.343591 Arthritis Program 0.438589 counsel arthritis patients 0.344487 CDC Arthritis Program 0.365539 arthritis range 0.356077 doctor-diagnosed arthritis 0.37503	median percent disparity 0.201401 Arthritis Foundation 0.348441 arthritis status 0.411276 arthritis У— 0.379393 state-specific prevalence 0.27321 age-standardized prevalence 0.414238 arthritis state 0.344177 rheumatoid arthritis 0.383659 physical activity 0.783011 high percent arthritis 0.358902 highest arthritis prevalence 0.432104 physical activity promotion 0.248937 arthritis-appropriate physical activity 0.23766 health physical activity 0.200033 arthritis 0.912427 leisure-time physical activity 0.216014 Jennifer M. Hootman 0.211107 Arthritis Pain Reliever 0.366293 group exercise programs 0.224513 physical activities 0.209953	CLICK HERE
7017	Centers for Disease Control and Prevention	Html	en	Section 909 of the Federal Food, Drug, and Cosmetic Act -Records and Reports on Tobacco Products	null	reports 0.388268 medical profession 0.360676 reason 0.331207 fullest extent 0.441338 corrective action 0.505471 Secretary state 0.37887 record 0.329194 individual 0.32945 need 0.314485 preceding sentence 0.375578 market 0.32563 tobacco products 0.410603 unexpected adverse experience 0.423151 person 0.314464 General 0.334094 correction 0.326009 prohibitions 0.316169 medical welfare 0.361591 importer 0.433244 chapter 0.347652 paragraph 0.341033 request 0.326952 subsection 0.369625 Secretary 0.489631 records 0.350425	purpose 0.330487 tobacco product manufacturer 0.833064 protection 0.314477 requests 0.314347 significant increase 0.36523 patient 0.342406 identity 0.31395 public health 0.502748 reporting 0.31469 tobacco product 0.975147 requirements 0.327383 cost 0.314506 implementation 0.314458 tobacco product experiences 0.46264 Removals 0.314992 adverse product experience 0.420271 professional ethics 0.365364 regulation 0.33121 regulations 0.350489 removal 0.376922 report 0.371537 information 0.512003 submission 0.344059 risk 0.324986	CLICK HERE
7303	Centers for Disease Control and Prevention	Html	en	Evaluation of Rapid Influenza Diagnostic Tests for Influenza A (H3N2)v Virus and Updated Case Count - United States, 2012	Previous reports have described cases of influenza A (H3N2) variant (H3N2v) virus* infection with the influenza A (H1N1)pdm09 M gene detected in the United States during July 2011–July 2012 (1–3). This report provides 1) an update on the number of reported cases of H3N2v infections from July 12 to August 9, 2012, in the United States, 2) an updated results interpretation for the CDC Flu Real-Time Reverse Transcription Polymerase Chain Reaction (rRT-PCR) Dx Panel for A(H3N2)v for public health laboratories, and 3) an evaluation of rapid influenza diagnostic tests for the detection of H3N2v viruses.	H3N2v infections 0.57957 influenza strains 0.515216 additional diagnostic testing 0.484117 influenza infection 0.552689 H3N2v virus infection 0.701582 United States 0.500574 presumptive-positive test results 0.49784 H3N2v 0.710508 H3N2v cases 0.486732 negative RIDT result 0.483662 influenza-like illness 0.525542 Madin-Darby Canine Kidney 0.48962 nasal washes 0.492966 seasonal influenza viruses 0.578155 pandemic influenza 0.531776 CDC Flu Real-Time 0.533221 U.S. public health 0.505888 influenza H3N2v virus 0.605398 influenza illness onset 0.558863 various respiratory specimens 0.48784 H3N2v infection 0.516908 Polymerase Chain Reaction 0.5027 CDC Flu rRT-PCR 0.673295	Flu rRT-PCR Dx 0.658561 CDC Influenza Division 0.572661 results interpretation 0.499778 limited human-to-human transmission 0.484821 cases 0.606499 false RIDT results 0.486289 pandemic H1 markers 0.493803 chronic medical conditions 0.485385 CDC laboratory 0.476472 patients 0.496276 negative RIDT 0.485624 RIDTs 0.527189 H3N2v viruses 0.687334 influenza complications 0.518136 local public health 0.504303 antiviral treatment 0.485859 virus* infection 0.483437 Additional CDC guidance 0.502879 public health laboratories 0.932651 rapid influenza 0.624966 public health laboratory 0.571352 confirmed cases 0.477589	CLICK HERE
8892	Centers for Disease Control and Prevention	Html	en	Health Care Fraud - Health Communication	Health Care Fraud - Gateway to Health Communication - CDC	therapy sessions 0.258242 health insurance 0.441468 health care provider 0.581192 Medicare Fraud Strike 0.500261 Human Services 0.27069 U.S. Department 0.255498 home health services 0.365306 Enforcement Action Team 0.299056 health insurance statements 0.335503 health care fraud 0.761469 health care providers 0.375523 fraud schemes 0.327176 Health Insurance Number 0.407496 long term solvency 0.319255 mental health services 0.362203 health care services 0.39099 Medicare program 0.298968 ambulance transports 0.255285 hospital visits 0.256249 Affordable Care Act 0.327274 high-tech anti-fraud tools 0.30281 State governments 0.261609 Social Security number 0.296989 State Medicaid programs 0.313497	Medicaid programs 0.314244 e.g. power wheelchairs 0.311172 Care Fraud Prevention 0.404338 American taxpayers 0.269231 health insurance information 0.360897 stopmedicarefraud.gov web site 0.295994 people’s health 0.296559 health care insurance 0.389944 care provider bills 0.429139 Fraud Strike Forces 0.371438 Medicaid Services 0.283031 health care programs 0.395669 diabetic supplies 0.259394 Fraud drives 0.352051 health care 0.918069 insurance company 0.267475 personal information 0.374031 vulnerable citizens 0.260479 Medicare Strike Force 0.348939 credit card numbers 0.295426 Fraud Strike Force 0.376353 Health Insurance card 0.336391 care fraud perpetrators 0.44592 fraudulent claims 0.257212	CLICK HERE
9312	Centers for Disease Control and Prevention	Html	es	Preventing Chronic Disease: October 2008: 08_0055_es	null	Brownsville-Matamoros Sister City 0.60509 health insurance 0.443437 Seguro Social 0.505964 Salud Comunitaria 0.450551 States-Mexico border philanthropy 0.4421 united states-mexico border 0.776098 States-Mexico Border Health 0.449789 disco duro personal 0.460997 Ciudades Hermanas 0.439968 Disease Control 0.502389 Asociación Fronteriza Mexicano 0.50023 McDonald JA 0.505395 altas tasas 0.446631 Morb Mortal Wkly 0.468897 Castrucci BC 0.464184 Matamoros Dr 0.462013 Médico Valley Baptist 0.452706 Border Counties Coalition 0.438979 Instituto Mexicano 0.512492 Estados Unidos 0.585664 comunidades hermanas 0.541807 States-Mexico border from 0.440521 Salud Jurisdicción III 0.453393 prueba piloto 0.440795 salud pública 0.927344	who gave birth 0.468845 evaluating public health 0.47451 Centro Nacional 0.66533 Sister City Project 0.599062 Fronteriza Mexicano Estadounidense 0.504253 enfermedades crónicas 0.509406 MMWR Morb Mortal 0.470625 US-Mexico border region 0.554293 diseño muestral 0.653419 Mortal Wkly Rep 0.467929 estudio piloto 0.458152 public health 0.515948 Centro Médico 0.511186 Registro Civil 0.462073 New York 0.460385 costos directos 0.524022 Salud Publica Mex 0.457051 border counties 0.458611 Ciudad Victoria Tamaulipas 0.445682 creciente población 0.444732 Women’s Health 0.481916 Centro Médico Valley 0.49449 Salud Global 0.449641 Salud Fronteriza 0.787475	CLICK HERE
9437	Centers for Disease Control and Prevention	Html	es	Cambio de actitudes de proveedores de viviendas de unidades múltiples para que adopten políticas antitabaco	null	políticas antitabaco 0.926871 Drach L 0.392753 Pizacani B 0.384883 salud pública 0.469797	Stark M 0.386926 Hermann-Franzen C 0.38459 Menagh K 0.38193 Chronic Dis 0.396481	CLICK HERE
12849	Centers for Disease Control and Prevention	Html	en	Ahead of Print -Novel Eurasian Highly Pathogenic Influenza AH5 Viruses in Wild Birds, Washington, USA, 2014 - Volume 21, Number5—May 2015 - Emerging Infectious Disease journal - CDC	null	avian influenza 0.925843 Eurasian clade 0.632489 American wild bird 0.6532 molecular assay results 0.564564 Eurasian viruses 0.557348 North America 0.547401 South Korea 0.57309 hemagglutinin cleavage site 0.560329 novel eurasian lineage 0.634182 pathogenic avian influenza 0.813809 highly pathogenic viruses 0.572812 H5 clade 0.645928 H5N2 influenza virus 0.658231 oral swab samples 0.56124 H5N8 subtype viruses 0.576838 assay results 0.568727 Survey–National Wildlife Health 0.572401 British Columbia 0.537512 Eurasian lineage clade 0.624334 wild bird 0.754722 ongoing influenza surveillance 0.531064 vivo assay results 0.558863 Virus Resource Database 0.581516 HPAI H5 lineage 0.578605	United States 0.744894 avian influenza viruses 0.595379 Eurasian HPAI H5 0.624723 Wildlife Health Center 0.745772 HPAI H5N1 virus 0.574888 wild birds 0.725199 wild bird samples 0.537811 amino acid sequence 0.544908 avian influenza surveillance 0.551318 interagency avian influenza 0.574737 National Wildlife Health 0.568028 Novel reassortant influenza 0.550296 Influenza Virus Resource 0.630495 Eurasian H5N8 virus 0.642237 HPAI H5 viruses 0.643115 Eurasian H5N8 viruses 0.639891 Eurasian lineage 0.652991 wild bird AIV 0.552099 avian influenza virus 0.693807 HPAI H5N2 virus 0.605735 intravenous pathogenicity index 0.565266 neighbor-joining tree-building method 0.535159 lineage avian influenza 0.606361 wild bird lineage 0.655151	CLICK HERE
14399	Centers for Disease Control and Prevention	Html	en	International Thalassemia Awareness | CDC Features	Did you know that beta thalassemia major, the most severe form of thalassemia, affects at least 1,000 people in the United States? By staying committed to long-term treatment, people with thalassemia can enjoy a full life.	red blood cells 0.930346 blood disorders 0.80526 possible organ damage 0.534915 Robert Mannino 0.491692 treatment schedules 0.479565 outstanding care 0.47078 Emory University 0.469431 chelation therapy 0.559687 pediatric hematologist 0.521995 hemoglobin disorders 0.492441 sickle cell disease 0.530821 Georgia Institute 0.469221 children’s hospital 0.537016 lifelong blood transfusions 0.610372 Robert 0.555743 severe form 0.488274 engineering PhD program 0.526772 iron overload 0.478127 Kansas City 0.475871 thalassemia 0.936512 blood transfusions 0.761562 treatable disorder 0.484625 various medical complications 0.55105 transfusion-related complications 0.476208	medical specialist 0.477515 blood safety 0.495726 long-term treatment 0.485009 United States 0.486706 iron-deficient anemia 0.479638 correct diagnosis 0.471303 regular basis 0.475499 CDC funds 0.474627 Therapeutic Blood Transfusions 0.586384 Georgia State University 0.529522 Robert credits 0.480112 right care 0.473261 transfusion therapy 0.476837 treatable blood disorder 0.568495 important thing 0.476044 Specialized care 0.479716 young parents 0.472424 healthy red blood 0.580468 people 0.538185 medical care 0.477538 severe thalassemia 0.672377 San Francisco Benioff 0.535415 Robert’s story 0.480672 Anemia Foundation 0.475464	CLICK HERE
16489	Centers for Disease Control and Prevention	Html	en	6|18 State Medicaid Agency Activities	CDC is partnering with health care purchasers, payers, and providers to improve health and control health care costs. CDC provides these partners with rigorous evidence about our Nation’s highest burden health conditions and associated interventions to inform their decisions to have the greatest health and cost impact.	Medicaid enrollees 0.646853 CDC 0.514903 health plans 0.49369 Human Services 0.486418 state medicaid 0.989288 care organizations 0.483263 Services Administration 0.485822 adult preventive services 0.550018 Assistant Secretary 0.475489 peer-to-peer learning 0.483145 unintended pregnancy 0.490459 State Medicaid Agency 0.825049 health conditions 0.509283 following factors 0.47694 better care 0.494451 Health Care Strategies 0.561579 contract negotiations 0.480041 prevention interventions 0.57687 population health 0.494099 lower costs 0.484188 peer learning 0.473442 cost impact changes 0.533531 delivery system transformation 0.472393 State Medicaid programs 0.674992 baseline coverage 0.48318	Medicaid Agency-Public Health 0.714799 specific interventions 0.542386 select interventions 0.559458 better health outcomes 0.593629 State Plan Amendments 0.567224 Health Department teams 0.701622 Shared Learning Platform 0.549134 Partner Support 0.474173 Medicaid beneficiaries 0.626055 tangible progress 0.482009 Medicaid Services 0.614006 states 0.50605 Robert Wood Johnson 0.537433 technical assistance 0.66433 Health Resources 0.500912 Medicaid Directors 0.603241 state medicaid agencies 0.83198 initial focus 0.483905 Territorial Health Officials 0.564194 health care purchasers 0.560728 National Association 0.477288 interventions 0.618494 best practices 0.557071 payment reforms 0.473147	CLICK HERE