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Announcements: World Encephalitis Day - February 22,2014 |
Encephalitis, inflammation of the brain, is caused by several different infectious and noninfectious entities. Encephalitis can be an uncommon complication of a common infection, such as infection with a herpes virus or with any of several vaccine-preventable disease viruses, or a predictable presentation of a rare pathogen, such as the ameba, Naegleria fowleri. |
| substantial health-care costs | 0.453418 |
| large number | 0.344535 |
| Human Services | 0.459069 |
| U.S. Department | 0.456057 |
| MMWR HTML versions | 0.449357 |
| common infection | 0.38034 |
| exhaustive testing | 0.347285 |
| electronic PDF version | 0.435988 |
| World Encephalitis | 0.674138 |
| causative agents | 0.3513 |
| vaccine-preventable disease viruses | 0.515641 |
| herpes virus | 0.388449 |
| climate change | 0.349218 |
| tickborne encephalitis virus | 0.873504 |
| overall case-fatality rate | 0.447658 |
| Contact GPO | 0.362026 |
| commercial sources | 0.33469 |
| predictable presentation | 0.367772 |
| current prices | 0.33164 |
| original paper copy | 0.443737 |
| vaccine availability | 0.348622 |
| noninfectious entities | 0.378001 |
| certain settings | 0.337777 |
| encephalitis etiologies | 0.732047 |
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| global travel | 0.358327 |
| nonspecific clinical presentation | 0.480358 |
| rare pathogen | 0.362046 |
| U.S. Government Printing | 0.448063 |
| original MMWR paper | 0.444769 |
| uncommon complication | 0.371132 |
| invigorate global prevention | 0.465386 |
| MMWR readers | 0.342624 |
| enterovirus infection | 0.398299 |
| individual outcomes | 0.350695 |
| Nipah virus | 0.384758 |
| Naegleria fowleri | 0.383027 |
| infectious encephalitides | 0.370077 |
| encephalitis pathogens | 0.712336 |
| environmental alterations | 0.36166 |
| better outcomes | 0.348777 |
| format errors | 0.330526 |
| typeset documents | 0.337079 |
| host factors | 0.337819 |
| trade names | 0.334782 |
| Balamuthia mandrillaris | 0.380044 |
| non-CDC sites | 0.334206 |
| encephalitis | 0.937243 |
| West Nile virus | 0.493827 |
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Klebsiella pneumoniae in Healthcare Settings - HAI |
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| Klebsiella | 0.953813 |
| healthcare personnel | 0.267481 |
| Klebsiella infection | 0.617271 |
| Gram-negative infections | 0.248443 |
| Klebsiella bacteria | 0.832962 |
| strict cleaning procedures | 0.256015 |
| bloodstream infection | 0.231836 |
| certain antibiotics | 0.26437 |
| fewer antibiotics | 0.249724 |
| healthcare-associated infections | 0.270319 |
| infection control precautions | 0.301892 |
| Klebsiella species | 0.469741 |
| human stool | 0.200371 |
| Gram-negative bacteria | 0.302375 |
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| healthcare provider instructs | 0.257914 |
| Klebsiella infections | 0.799896 |
| carbapenem antibiotics | 0.250639 |
| surgical site infections | 0.351489 |
| patients | 0.271984 |
| KPC-producing bacteria | 0.256695 |
| person-to-person contact | 0.279402 |
| bloodstream infections | 0.279872 |
| breathing machines | 0.277963 |
| healthcare provider | 0.40027 |
| healthcare settings | 0.415784 |
| hand hygiene | 0.327004 |
| human gut bacteria | 0.330207 |
| antibiotics | 0.37972 |
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Centers for Disease Control and Prevention |
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MMWR - Continuing Education |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| CE Expiration Date | 0.934834 |
| CE Origination Date | 0.93069 |
| courses | 0.220722 |
| https://www.cdc.gov/TCEOnline | 0.220665 |
| MMWR Vol. | 0.702901 |
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| General Information | 0.278869 |
| MMWR Weekly | 0.702855 |
| available Weekly MMWR | 0.316736 |
| No. | 0.396004 |
| list | 0.220778 |
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Centers for Disease Control and Prevention |
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Global Health - Uzbekistan |
CDC global health programs in Uzbekistan |
| country capacity | 0.480501 |
| endorsement | 0.274871 |
| Central Asia scientists | 0.647416 |
| IBBS | 0.304029 |
| Central Asia countries | 0.661339 |
| scientific output | 0.450928 |
| sound health policy | 0.701367 |
| labor migrants | 0.49971 |
| office | 0.24339 |
| Content source | 0.449496 |
| HHS | 0.281499 |
| Uzbekistan scientists | 0.594155 |
| Notice | 0.249581 |
| systems | 0.243073 |
| public health threats | 0.756031 |
| Medline-indexed journals | 0.451414 |
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| Download Overview Fact | 0.69197 |
| highest number | 0.460384 |
| infectious disease surveillance | 0.779628 |
| multiple programs | 0.446884 |
| long history | 0.499145 |
| analysis | 0.242756 |
| important infectious diseases | 0.741313 |
| non-federal site | 0.498085 |
| control measures | 0.47917 |
| collaboration | 0.248402 |
| CDC systematic review | 0.913261 |
| MARPs | 0.240746 |
| Behavioral Survey | 0.465502 |
| employees | 0.238727 |
| Sheet | 0.241788 |
| Integrated Biological | 0.462604 |
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Communities of Practice - Resource Kit |
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| template | 0.742207 |
| CoP | 0.966798 |
| CoP Meeting Agenda | 0.750597 |
| CoP collaborations | 0.649825 |
| Needs Assessment Template | 0.589665 |
| CoPs | 0.714256 |
| CoP’s lifecycle | 0.684413 |
| Leaders | 0.719027 |
| SMART Objectives Template | 0.585184 |
| action items | 0.561276 |
| CoP focus | 0.661649 |
| members | 0.701862 |
| Scribe Template | 0.568612 |
| DOC | 0.861522 |
| CoP Subject Matter | 0.68459 |
| cop meeting | 0.754926 |
| CoP Charter Template | 0.737262 |
| CoP Facilitators | 0.799967 |
| Item Log Template | 0.593583 |
| plan | 0.601491 |
| public health | 0.560605 |
| CoP outcomes | 0.6503 |
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| Advanced Facilitation Guide | 0.558562 |
| tip sheet | 0.615553 |
| CoP Charter Overview | 0.699541 |
| new CoPs | 0.581305 |
| new CoP | 0.756016 |
| CoP Technical Managers | 0.685664 |
| Management Tip Sheet | 0.556203 |
| resources | 0.559827 |
| CoP Resource Kit | 0.718792 |
| potential members | 0.633131 |
| Biographical Sketch Template | 0.585062 |
| CoP charters | 0.672383 |
| community | 0.59959 |
| Discussion Log Template | 0.595126 |
| aid potential members | 0.56513 |
| Microsoft Word template | 0.584325 |
| CoP members | 0.661512 |
| Facilitation Tip Sheet | 0.557007 |
| Newsletter Template | 0.563646 |
| CoP newsletter | 0.653561 |
| Membership Tracking Template | 0.589512 |
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Centers for Disease Control and Prevention |
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Minority Health Home Page |
The Office of Minority Health and Health Equity (OMHHE) Mission: Advance health equity and women’s health issues across the nation through CDC’s science and programs, and increase CDC’s capacity to leverage its diverse workforce and engage stakeholders toward this end. |
| Nation | 0.333393 |
| Minority Health Determines | 0.736484 |
| list Skip | 0.760029 |
| health indicators | 0.499822 |
| death | 0.331167 |
| disproportionate burden | 0.569968 |
| United States | 0.502665 |
| minorities | 0.353624 |
| page options Skip | 0.942389 |
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| Americans | 0.341007 |
| percent | 0.354221 |
| navigation Skip | 0.767184 |
| infant mortality | 0.532337 |
| population | 0.339503 |
| life expectancy | 0.523278 |
| century | 0.33297 |
| preventable disease | 0.52216 |
| ethnic minority group | 0.704553 |
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Salmonella Infections Linked to Live Poultry | May 2014 |Salmonella |
Multistate Outbreak of Human Salmonella Infantis and Salmonella Newport Infections Linked to Live Poultry in Backyard Flocks |
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Centers for Disease Control and Prevention |
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Disease Detective: Nicole - CDC Responds to the 2014 Ebola Outbreak |
CDC works 24/7 saving lives, protecting people from health threats, and saving money to have a more secure nation. A US federal agency, CDC helps make the healthy choice the easy choice by putting science and prevention into action. CDC works to help people live longer, healthier and more productive lives. |
| training course | 0.382687 |
| clean water | 0.386784 |
| Ministry | 0.23117 |
| craft | 0.233332 |
| international partners | 0.380631 |
| arrangement | 0.231168 |
| relationships | 0.231219 |
| six-year old son | 0.534774 |
| Health Promotion team | 0.566003 |
| outbreak | 0.240836 |
| CDC’s Freetown | 0.462002 |
| eye opening | 0.408149 |
| rollout | 0.24135 |
| entire family | 0.385519 |
| work | 0.266435 |
| epidemic | 0.239753 |
| Kroo Bay Slum | 0.868382 |
| capital city | 0.399426 |
| lack | 0.23185 |
| life expectancy | 0.424846 |
| Ebola-prevention messages | 0.396457 |
| ground | 0.233671 |
| Sierra Leonean journalists | 0.660946 |
| neighborhood | 0.233556 |
| tough decision | 0.371402 |
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| educational messages | 0.382456 |
| basic sanitation | 0.413684 |
| community leaders | 0.379047 |
| 31-year-old CDC communications | 0.671308 |
| Sierra Leone | 0.929573 |
| general population | 0.391532 |
| virus | 0.265773 |
| radio media outlets | 0.535577 |
| Nicole | 0.680512 |
| health promotors | 0.387528 |
| direct impact | 0.385926 |
| CDC employees | 0.43498 |
| local journalists | 0.572637 |
| Ebola Big Idea | 0.666598 |
| National Ebola Response | 0.669205 |
| families | 0.232951 |
| medical care | 0.41451 |
| people | 0.270302 |
| ambulances | 0.239138 |
| help | 0.232322 |
| current deployment | 0.379507 |
| regular access | 0.393357 |
| visit | 0.262687 |
| separate room | 0.385156 |
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Centers for Disease Control and Prevention |
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Tuberculosis Contact Investigations - United States,2003-2012 |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). Often called 'the Voice of CDC,' the MMWR series is the agency's primary vehicle for scientific publication of timely, reliable, authoritative, accurate, objective, and useful public health information and recommendations. MMWR readership predominately consists of physicians, nurses, public health practitioners, epidemiologists and other scientists, researchers, educators, and laboratorians. |
| contagious TB patients | 0.361181 |
| treatment | 0.450531 |
| latent TB infection | 0.362362 |
| Puerto Rico | 0.503762 |
| Kai H. Young | 0.258557 |
| potential TB cases | 0.326781 |
| smear-positive index patient | 0.260737 |
| United States | 0.220668 |
| index TB cases | 0.342354 |
| health care provider | 0.321341 |
| TB elimination | 0.334301 |
| culture-positive index patient | 0.259419 |
| smear-positive index patients | 0.348176 |
| smear-positive TB patient | 0.333845 |
| public health authorities | 0.253619 |
| contact investigations | 0.656038 |
| number | 0.207765 |
| TB contact investigations | 0.604317 |
| index patient | 0.521022 |
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| culture-positive pulmonary TB | 0.343733 |
| health departments | 0.218827 |
| index patients | 0.61104 |
| sputum smear-positive index | 0.303078 |
| smear-positive TB patients | 0.337858 |
| public health | 0.278912 |
| 50 states | 0.264708 |
| index TB patient | 0.350324 |
| TB Prevention | 0.274814 |
| culture-positive index patients | 0.349106 |
| TB cases | 0.861261 |
| infected contacts | 0.260263 |
| LTBI | 0.43842 |
| TB | 0.94044 |
| M. tuberculosis | 0.235502 |
| TB control | 0.320811 |
| local TB control | 0.304861 |
| global TB control | 0.317465 |
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Centers for Disease Control and Prevention |
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Increases in Drug and Opioid-Involved Overdose Deaths - United States, 2010-2015 |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| specific drug | 0.286821 |
| harm reduction approaches | 0.230853 |
| illicit opioids | 0.210009 |
| deaths.†Drug overdose | 0.206652 |
| opioid subcategories | 0.202969 |
| U.S. opioid epidemic | 0.278742 |
| age-adjusted death rates | 0.270365 |
| commonly prescribed opioids | 0.214303 |
| South Carolina | 0.20155 |
| states | 0.330766 |
| cause-of-death codes | 0.220032 |
| percentage points | 0.202319 |
| heroin death rates | 0.326373 |
| overdose death rates | 0.269049 |
| synthetic opioids | 0.595594 |
| Prescribing Opioids | 0.213799 |
| disorder treatment capacity | 0.232735 |
| law enforcement strategies | 0.230229 |
| natural/semi-synthetic opioid death | 0.214891 |
| overall drug overdose | 0.205337 |
| joinpoint regression.¶ Opioid | 0.201436 |
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| prescription opioids | 0.223801 |
| natural/semisynthetic opioids | 0.268868 |
| heroin deaths | 0.23659 |
| law enforcement | 0.250358 |
| natural/semisynthetic opioid deaths | 0.269717 |
| specific drug differing | 0.233917 |
| overdose death rate | 0.203643 |
| drug overdose deaths | 0.957639 |
| opioid deaths | 0.290846 |
| drug overdose death | 0.459399 |
| methadone death rates | 0.315366 |
| methadone deaths | 0.230934 |
| opioid death rates | 0.389762 |
| National Vital Statistics | 0.273498 |
| natural/semisynthetic opioid death | 0.339992 |
| fewer deaths | 0.201421 |
| opioid use disorder | 0.210522 |
| overdose death certificates | 0.355323 |
| illicit opioid supply | 0.294476 |
| death rates | 0.847288 |
| opioid overdose death | 0.281969 |
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