| 709 |
Centers for Disease Control and Prevention |
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Three Sudden Cardiac Deaths Associated with Lyme Carditis -United States, November 2012-July 2013 |
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. |
| paraffin-embedded heart tissue | 0.46822 |
| Lyme disease | 0.954199 |
| York State Department | 0.464551 |
| Lyme pancarditis | 0.513922 |
| medical examiner | 0.487973 |
| heart tissues | 0.484338 |
| Warthin-Starry silver stain | 0.495417 |
| public health authorities | 0.491758 |
| Zoonotic Infectious Disease | 0.467064 |
| B. burgdorferi infection | 0.472053 |
| Chief Medical Examiner | 0.480512 |
| Lyme disease states | 0.5777 |
| IgM Western blot | 0.503174 |
| unexplained cardiac symptoms | 0.476256 |
| Lyme disease cases | 0.611206 |
| Borrelia burgdorferi | 0.472399 |
| cardiac conduction abnormality | 0.484142 |
| heart block | 0.470258 |
| Lyme disease transmission | 0.542397 |
| common cardiac manifestation | 0.475208 |
| Lyme disease status | 0.575255 |
| B. burgdorferi | 0.560866 |
| Lyme carditis | 0.812567 |
| new york state | 0.583632 |
| IgG Western blot | 0.503894 |
|
| corneal Lyme disease | 0.543674 |
| cardiac conduction abnormalities | 0.492634 |
| ocular Lyme disease | 0.54456 |
| Western blot | 0.549299 |
| nationally notifiable disease | 0.464594 |
| fatal Lyme carditis | 0.594352 |
| kDa | 0.476117 |
| sudden cardiac death | 0.602096 |
| Lyme disease* | 0.525166 |
| atherosclerotic cardiovascular disease | 0.472577 |
| health-care providers | 0.466662 |
| cardiac involvement | 0.482359 |
| Public Health Investigation | 0.47166 |
| Lyme disease.¶ | 0.500922 |
| Lyme disease areas | 0.604093 |
| Lyme disease regions | 0.573802 |
| public health | 0.595023 |
| cardiac tissue | 0.516334 |
| high-incidence Lyme disease | 0.699671 |
| early disseminated Lyme | 0.573738 |
| local public health | 0.492931 |
| appropriate antibiotic therapy | 0.492721 |
| New Hampshire | 0.524206 |
| Joseph D. Forrester | 0.48131 |
|
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| 726 |
Centers for Disease Control and Prevention |
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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 |
|
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Centers for Disease Control and Prevention |
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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 |
|
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Centers for Disease Control and Prevention |
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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 |
|
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Centers for Disease Control and Prevention |
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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 |
|
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Centers for Disease Control and Prevention |
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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 |
|
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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 |
|
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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 |
|
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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 |
|
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Centers for Disease Control and Prevention |
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E Learning Design | CDC Learning Connection |
Connect to information about public health training opportunities developed by CDC, CDC partners, and other federal agencies. |
| compact disc | 0.357913 |
| Quick-Learn Lesson | 0.310661 |
| distinct learning objectives | 0.646879 |
| electronic technologies | 0.346059 |
| quality e learning | 0.308609 |
| interactive strategies | 0.331506 |
| e-learning design | 0.779244 |
| effective e-learning | 0.659879 |
| quality e‑learning product | 0.63442 |
| smart phones | 0.319123 |
| Quality E-learning | 0.637779 |
|
| quality products | 0.358002 |
| digital media | 0.358645 |
| Electronic learning | 0.344393 |
| easy viewing | 0.322516 |
| E-learning Essentials products | 0.91148 |
| Instructional designers | 0.356964 |
| e-learning developers | 0.948048 |
| instructional strategies | 0.336942 |
| responsive design | 0.323743 |
| mobile devices | 0.323142 |
| Quick-Learn lessons | 0.307156 |
|
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