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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
726	Centers for Disease Control and Prevention	Html	en	Outbreaks of Human Metapneumovirus in Two Skilled NursingFacilities - West Virginia and Idaho, 2011-2012	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.	respiratory samples 0.580301 viral respiratory disease 0.628331 Respiratory Disease Outbreaks 0.650957 unexplained respiratory illnesses 0.618979 SNF resident outbreak 0.554644 hMPV 0.679406 respiratory specimens 0.714557 median age 0.555354 respiratory tract disease 0.629687 patients 0.652002 multiple respiratory pathogens 0.626824 long-term care facility 0.554779 National Respiratory 0.628706 unexplained respiratory infections 0.608722 severe respiratory disease 0.62811 Southwest District Health 0.583393 upper respiratory infection 0.654785 Respiratory Diseases 0.592976 respiratory etiquette 0.590313 public health agencies 0.58789 respiratory syncytial virus 0.784561 severe respiratory tract 0.621077 respiratory illness 0.84556 hMPV surveillance data 0.593488 NP specimens 0.591369	respiratory viruses 0.605523 unexplained respiratory illness 0.694287 West Virginia 0.953931 respiratory tract infections 0.722586 respiratory pathogens 0.698759 upper respiratory tract 0.66625 respiratory tract infection 0.871918 lower respiratory tract 0.79955 West Virginia Office 0.587281 respiratory viral infection 0.663115 staff members 0.826088 respiratory infection 0.70146 skilled nursing facilities 0.573137 median duration 0.554377 respiratory outbreaks 0.648455 early respiratory specimen 0.623283 SNF infection control 0.572865 infection control measures 0.589264 Additional NP specimens 0.552531 respiratory failure 0.583473 older adults 0.574814 et al 0.550927 lower respiratory infection 0.658329 biennial activity peaks 0.557309	CLICK HERE
914	Centers for Disease Control and Prevention	Html	en	Take Care of Your Heart this Valentine's Day | CDC Features	Learn how the CDC is working with communities across the country to help raise awareness of heart health, particularly among higher-risk populations.	Million Hearts® initiative 0.412397 County Health Department 0.426624 Federally Qualified Health 0.525509 great time 0.372366 chronic heart failure 0.443764 San Jose 0.363415 West Adams-Baldwin Hills-Leimert 0.415385 healthcare systems 0.36185 hypertension-related preventive services 0.415555 primary care providers 0.409538 CTG programs 0.389104 high cholesterol 0.43071 Disease Control 0.372663 self-management programs 0.362299 CDC-funded programs 0.364089 Day—a time 0.372472 CTG community awardees 0.453908 HHS agencies 0.360862 healthier foods 0.363567 medical conditions 0.365302 positive changes 0.364918 increased access 0.362621 combined populations 0.367051 heart health 0.581306	heart attacks 0.464121 South Los Angeles 0.415313 Community Transformation Grant 0.414734 heart attack 0.390157 heart-shaped valentines 0.378589 United States 0.365094 Qualified Health Centers 0.519587 African Americans 0.547697 management support 0.363712 African American adults 0.426697 heart disease 0.478044 health services 0.380716 community resources 0.365567 REACH awardees 0.376902 clinical pharmacists 0.36157 U.S. adults 0.366925 disease management services 0.423097 higher-risk populations 0.436384 physical activity 0.422056 vascular disease 0.373289 non-Hispanics Whites 0.362128 high blood pressure 0.911718 CTG program 0.391731 School-based Health Centers 0.436006	CLICK HERE
4480	Centers for Disease Control and Prevention	Html	en	CDC - Data & Statistics	Data and Statistics information from the Centers for Disease Control and Prevention.	app 0.476302 MPEG 0.447875 site 0.374686 PDF 0.376507 PPT 0.49539	DOC 0.440939 developmental milestones 0.856771 different file formats 0.960303 stroke 0.443788 stokes 0.511171	CLICK HERE
5127	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease: March 2011: 10_0103	null	cancer screening behavior 0.383148 St. Francis counties 0.445444 County cancer council 0.40442 Community-based participatory research 0.395104 CBPR approach 0.389043 River Delta region 0.426026 Mississippi River Delta 0.550821 assessment instrument 0.43 colorectal cancer deaths 0.428231 colorectal cancer screening 0.800234 health care providers 0.410739 St. Francis County 0.54636 colorectal cancer 0.987472 basic health care 0.416607 partnership 0.413636 St. Francis 0.644352 academic partners 0.810102 Mississippi County cancer 0.393628 Lower Mississippi River 0.546925 role models 0.540152 health advisors 0.546076 20-hour lay health 0.382245 fecal occult blood 0.391423 cancer councils 0.436748 colorectal cancer prevention 0.417299	health insurance 0.384922 university partners 0.379323 intervention 0.437421 health advisor arm 0.459193 colorectal cancer death 0.429141 colorectal screening intervention 0.423581 lay health advisor 0.722001 Medical Sciences 0.392681 cancer screening rates 0.427713 Arkansas Economic Opportunity 0.387511 health care 0.482409 African American women 0.406174 health care resources 0.458727 cardiovascular disease 0.38906 Mississippi cancer councils 0.385369 Francis County cancer 0.388545 predominately agricultural community 0.404941 community partners 0.846721 occult blood testing 0.391643 health advisor intervention 0.384786 ECL 0.411726 Economic Opportunity Commission 0.38402 Mississippi County 0.497957 Mississippi County Arkansas 0.399402	CLICK HERE
6934	Centers for Disease Control and Prevention	Html	en	Imported Human Rabies in a U.S. Army Soldier - New York, 2011	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.	rabies virus variant 0.589479 Clinical human rabies 0.456473 rabies risks 0.411703 rabies viral RNA 0.563743 Angela M. Maxted 0.316509 Canine rabies variants 0.459103 rabies virus transmission 0.533458 Wadsworth Center Rabies 0.465638 U.S. human rabies 0.467866 MD 0.30258 Zoonotic Infectious Diseases 0.32894 Afghanistan canine rabies 0.520172 rabies patient 0.451214 Health Command Region-Europe 0.342755 rabies diagnosis 0.42579 rabies virus infection 0.458865 Public Health Svcs 0.305902 New York State 0.41776 human rabies deaths 0.453265 effective PEP protocols 0.328108 public health officials 0.305399 CDC rabies laboratories 0.526657 postexposure prophylaxis 0.3077 male U.S. Army 0.306503 abundant rabies virus 0.490514	Prompt PEP administration 0.313347 Travel-associated rabies virus 0.476567 rabies virus 0.919539 Rabies virus antigens 0.533706 global PEP availability 0.331259 rabies virus antibodies 0.594755 rabies risk awareness 0.462308 Public Health Investigation 0.310615 effective rabies 0.465167 rabies virus exposure 0.728329 human-to-human rabies transmission 0.446786 CSF 0.320515 Charles E. Rupprecht 0.33862 extracorporeal membrane oxygenation 0.325936 public health 0.488701 New York 0.53618 Upstate Univ Hospital 0.329249 U.S. Army soldier 0.349859 virus exposure risks 0.306848 nuchal skin biopsy 0.430722 Communicable Disease Control 0.332146 canine rabies virus 0.730876 experimental treatment protocol 0.353596 Public Health Command 0.349244	CLICK HERE
9232	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Are Physical Education Policies Working? A Snapshot From San Francisco, 2011 - CDC	School physical education (PE) has been identified as a critical public health tool to increase physical activity among youths. We sought to objectively assess compliance with PE quantity mandates and quality recommendations in a large urban California school district.	physical education 0.520666 middle school pe 0.46854 PE quantity mandates 0.447186 PE schedules 0.52759 classroom teachers 0.458425 moderate-to-vigorous physical activity 0.781187 PE classes 0.500752 master PE schedule 0.41775 full-time PE specialist 0.440183 part-time PE specialist 0.438314 PE lessons 0.535299 district’s PE 0.415578 PE class time 0.464296 PE policy compliance 0.410701 observed PE lessons 0.481871 PE specialist program 0.440163 third-grade PE lessons 0.417093 PE time 0.47778 PE policy implementation 0.41384 master pe schedules 0.444755 schools 0.481995 PE lesson time 0.548225 high schools 0.422173 preset PE schedule 0.421513 PE students 0.459473	full-time PE specialists 0.417573 California state PE 0.415828 PE class observations 0.42051 PE nonspecialists 0.414469 school PE lessons 0.440119 pe department 0.433321 PE specialist 0.494924 PE leaders 0.411742 PE teaching experience 0.416981 PE frequency 0.426645 PE master schedules 0.438424 elementary PE teachers 0.484647 PE specialists 0.637461 personal PE schedules 0.434145 elementary schools 0.468184 part-time PE specialists 0.452375 physical activity 0.981293 PE quantity 0.498531 PE professional development 0.427291 PE 0.844653 entire PE lesson 0.442783 PE policy 0.430167 PE leader 0.425882 PE area 0.425702	CLICK HERE
10315	Centers for Disease Control and Prevention	Html	en	HAN Archive - 00333 - Contamination Identified in Additional Medical Products from New England Compounding Center	Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC).	injectable NECC product 0.644225 CDC 0.724583 unopened vials 0.469491 possible skin contaminants 0.429313 MedWatch Safety Alert 0.552906 medical products 0.396375 Rhodotorula laryngis 0.379582 Disease Control 0.450167 NECC products 0.900031 Additional microbial organisms 0.446762 infections 0.438403 ongoing investigation 0.453094 product testing 0.385846 additional laboratory testing 0.43989 various NECC products 0.64262 eye surgery 0.374675 preservative-free methylprednisolone acetate 0.551046 methylprednisolone acetate 0.564947 injectable steroid medications 0.463299 New England Compounding 0.455872 bacterial organisms 0.454435 PM ET 0.382803 cardioplegia solution 0.530524 human pathogens 0.374794 closely related organisms 0.453098	fungal meningitis 0.544188 NECC product 0.703899 multistate outbreak 0.477719 CDC Health Alert 0.550377 preservative-free methylprednisolone acetate. 0.442019 FDA 0.509684 bacterial contamination 0.386974 human disease 0.43708 fungal organisms 0.401314 Drug Administration 0.386083 enhances health decisions 0.426657 critical health issues 0.4294 Bacillus species 0.393258 laboratory-confirmed cases 0.379285 symptomatic patients 0.447932 current outbreak 0.391782 fungal cultures 0.448095 Exserohilum rostratum 0.463019 Rhizopus stolonifer 0.383638 potential infections 0.389627 human infections 0.394379 cardioplegic solutions 0.374635 fungus Exserohilum rostratum 0.443655 injectable drugs 0.385614	CLICK HERE
10801	Centers for Disease Control and Prevention	Html	en	CDC Study Compares Severity of Illness Caused by Flu A and B Viruses	New study of hospitalized adults shows flu B viruses caused similar disease outcomes as flu A viruses over eight flu seasons - CDC	flu infection 0.58619 flu a viruses 0.731945 significant difference 0.364096 H1N1 virus 0.438104 Diseases journal website 0.412694 high risk patients 0.414796 influenza A virus 0.507775 virus activity 0.436883 new study 0.38299 study period 0.424195 milder disease 0.373593 Northeastern United States 0.406998 H1N1 pandemic 0.36774 recent B viruses 0.416721 ICU admission 0.372075 Study findings 0.371067 predominant flu virus 0.759564 study 0.426406 flu B virus 0.714805 equally severe disease 0.435767 United States 0.432573 hospital stay 0.364885 flu B infections 0.612884 overall proportion 0.379946 flu vaccine 0.635973	comparative severity 0.380716 influenza b virus 0.581017 clinical characteristics 0.367168 quadrivalent flu vaccine 0.634647 Intensive Care Unit 0.418755 flu virus infection 0.714592 virus type 0.447595 trivalent flu vaccine 0.621209 virus infections 0.57992 common misconception 0.374154 flu seasons 0.603391 vaccine component 0.367525 antiviral treatment recommendations 0.417454 flu A virus 0.669764 late-season influenza 0.413218 flu 0.986982 disease characteristics 0.3665 flu B viruses 0.852723 flu B-associated hospitalizations 0.673047 predominant virus 0.50664 treatment options 0.364215 flu season 0.576282 hospitalized adults 0.404732 similar proportion 0.379892	CLICK HERE
13831	Centers for Disease Control and Prevention	Html	en	Vital Signs: Multistate Foodborne Outbreaks - United States,2010-2014	On November 3, 2015 this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr).	multistate foodborne outbreak 0.351422 foods 0.220791 United States 0.255089 multistate state foodborne 0.304111 vegetable row crops 0.202744 industry best practices 0.200526 STEC O157 outbreak 0.206739 U.S. foodborne disease 0.241997 public health departments 0.203617 single state outbreaks 0.349079 food industries 0.207389 large STEC outbreak 0.20729 foodborne pathogens 0.214479 Shiga toxin-producing E. 0.215481 future multistate foodborne 0.29459 largest outbreaks 0.303923	public health 0.249555 toxin-producing E. coli 0.21353 food safety practices 0.240029 future outbreaks 0.377493 food safety laws 0.215615 foodborne disease outbreaks 0.945052 foodborne disease outbreak 0.491277 Listeria monocytogenes 0.239985 multistate Salmonella outbreaks 0.426801 multistate foodborne outbreaks 0.66926 multistate outbreaks 0.641528 food safety 0.465457 Disease Outbreak Surveillance 0.305252 National Outbreak Reporting 0.207838 best practices 0.23396 multistate STEC outbreaks 0.420673	CLICK HERE
14196	Centers for Disease Control and Prevention	Html	en	Stakeholder Perspectives on Changes in Hypertension Care Under the Patient-Centered Medical Home	Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention.	multipayer-supported Chronic Care 0.389977 uncontrolled hypertension 0.430634 systems-based approach 0.439267 large multipayer PCMH 0.410075 PCMH transformation initiative 0.407914 health care team 0.48541 hypertension outcomes 0.429058 care providers 0.390936 Introduction Hypertension 0.464631 clinicians 0.403285 primary care practices 0.554479 health care providers 0.390114 blood pressure 0.574598 primary care sites 0.398755 office administrators 0.410548 hypertension control 0.667669 successful hypertension interventions 0.510338 hypertension protocols 0.436721 medical home/Chronic Care 0.39911 hypertension care 0.971481 primary care settings 0.422181 health care costs 0.388886 social workers 0.43925 patient-centered hypertension care 0.674393	health care needs 0.398884 hypertension treatment 0.440183 PCMH demonstration project 0.408004 medical assistants 0.52767 PCMH transformation 0.521433 team-based care 0.396016 Clinician No. 0.411164 patient-centered care 0.429019 successful hypertension management 0.472272 multipayer PCMH demonstration 0.408739 health care 0.487082 participants 0.431238 team-based hypertension care 0.499436 patient report cards 0.389942 primary care organizations 0.404444 staff 0.413943 PCMH 0.544753 PCMH model 0.52207 care plans 0.409687 hypertension patients 0.457742 office staff 0.396151 PCMH transformation process 0.402146 patient-centered medical home 0.407874 primary care 0.56979	CLICK HERE