| 6536 |
Centers for Disease Control and Prevention |
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Notifiable Diseases and Mortality Tables - January 6, 2012 / 60(51);1762-1775 |
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. |
| provisional 4-week totals | 0.636138 |
| Mortality Tables | 0.487431 |
| equine encephalitis virus | 0.557021 |
| Mortality Weekly Report | 0.486199 |
| Viral hemorrhagic fever¶¶¶ | 0.478088 |
| provisional cases | 0.592241 |
| Hantavirus pulmonary syndrome§ | 0.480902 |
| Staphylococcus aureus§ | 0.480026 |
| acute hepatitis | 0.498945 |
| 2011-12 influenza season | 0.485016 |
| Cum | 0.477393 |
| noncholera Vibrio species | 0.47903 |
| influenza A virus | 0.486526 |
| National Center | 0.541758 |
| CDC Home CDC | 0.489845 |
| Hemolytic uremic syndrome | 0.481551 |
| California serogroup virus | 0.49885 |
| meningococcal disease | 0.519958 |
| historical data | 0.520524 |
| Influenza Division | 0.476148 |
| Ñ?ЛП
Notifiable Diseases | 0.514767 |
| Cumulative year-to-date counts | 0.476328 |
| 2009 pandemic | 0.505797 |
| Respiratory Diseases | 0.473496 |
|
| NN | 0.99131 |
| United States | 0.723943 |
| Vancomycin-resistant Staphylococcus aureus§ | 0.477012 |
| novel influenza | 0.52266 |
| I. Provisional cases | 0.508536 |
| 5-year weekly average†| 0.491393 |
| notifiable diseases | 0.673567 |
| Vancomycin-intermediate Staphylococcus aureus§ | 0.476857 |
| Eastern equine encephalitis | 0.48703 |
| pandemic influenza | 0.508633 |
| measles cases | 0.476605 |
| Influenza-associated pediatric mortality§ | 0.477242 |
| viral hemorrhagic fever | 0.472868 |
| current 4-week period | 0.492627 |
| Western equine encephalitis | 0.486692 |
| Polio virus Infection | 0.480614 |
| Total case counts | 0.47298 |
| notifiable disease reports | 0.623325 |
| current 4-week total | 0.491671 |
| Vector-Borne Infectious Diseases | 0.479779 |
| TABLE I. | 0.48837 |
| dengue hemorrhagic fever | 0.474705 |
| subsequent 4-week periods | 0.486163 |
| West Nile virus | 0.478927 |
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Iowa Reports Novel Influenza Infections in Three Children |
Iowa Reports Novel Influenza Infections in Three Children - CDC |
| previous infections | 0.446456 |
| human influenza | 0.539049 |
| CDC | 0.484671 |
| Mortality Weekly Report | 0.585642 |
| seasonal vaccine | 0.408089 |
| Indiana | 0.237284 |
| routine preparedness measures | 0.570003 |
| Page | 0.236724 |
| H1N1 virus | 0.50451 |
| pork products | 0.417551 |
| influenza website | 0.537696 |
| novel influenza viruses | 0.882672 |
| possible pandemic threats | 0.587905 |
| contact | 0.277184 |
| young children | 0.438049 |
| majority | 0.238379 |
| candidate vaccine virus | 0.650041 |
| additional cases | 0.629107 |
| gene segment | 0.416598 |
| genes | 0.236537 |
| unsustained human-to-human transmission | 0.561683 |
| patients | 0.310674 |
| influenza-like-illness | 0.241674 |
| Swine influenza viruses | 0.933626 |
|
| novel strain | 0.441985 |
| Pennsylvania | 0.237258 |
| previous reports | 0.405673 |
| state public health | 0.603248 |
| United States | 0.393141 |
| Maine | 0.237231 |
| FluView activity report | 0.578202 |
| swine exposure | 0.473634 |
| swine-origin influenza viruses | 0.885787 |
| relatively mild illness | 0.592583 |
| virologic surveillance | 0.421255 |
| total number | 0.417454 |
| person-to-person | 0.248728 |
| public health | 0.661334 |
| limited cross-protection | 0.408161 |
| additional human infections | 0.631886 |
| antiviral drugs | 0.41212 |
| Iowa Department | 0.448144 |
| Morbidity | 0.245888 |
| children. | 0.242042 |
| human infections | 0.776579 |
| novel virus | 0.52835 |
| influenza viruses | 0.974157 |
| Links | 0.236267 |
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Chemical Weapons Elimination - Chemical Agent Information |
The Centers for Disease Control and Prevention provides independent oversight to the U.S. chemical weapons elimination program. Under the program, nerve agents and vesicant or blister agents are being destroyed. |
| more-effective delivery systems | 0.424175 |
| ammunition | 0.226815 |
| bulk containers | 0.310241 |
| more-potent chemical agents | 0.435629 |
| Stockpiles | 0.244825 |
| United States | 0.407855 |
| primary source | 0.302081 |
| nerve agents | 0.407004 |
| public health emergencies | 0.393671 |
| countries | 0.219762 |
| warfare agent stockpile | 0.517097 |
|
| chemical warfare agents | 0.954072 |
| Nonstockpiled chemical warfare | 0.469227 |
| modern chemical weapons | 0.441235 |
| U.S. sites | 0.302152 |
| Response | 0.216504 |
| World War I. | 0.426123 |
| CDC Emergency Preparedness | 0.41557 |
| early 1960s | 0.318131 |
| tons | 0.227511 |
| information | 0.216413 |
| blister agents | 0.408804 |
|
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Centers for Disease Control and Prevention |
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PanFlu Storybook - 1957 Flu Pandemic, Gordon Fields |
1957 Flu Pandemic, The 1957 flu pandemic was deadly, but milder than the 1918 event. The virus caused an estimated 70,000 deaths in the United States. The seven stories presented in this section are retold by survivors from New York to California. |
| safe operation | 0.611897 |
| Port | 0.439863 |
| mild case | 0.605277 |
| ship | 0.477367 |
| wool blanket | 0.638079 |
| chills | 0.458064 |
| camel | 0.44063 |
| Gordon P. Fields | 0.866391 |
| North | 0.439748 |
| USS Barton DD | 0.851858 |
| U.S .Sixth Fleet | 0.840626 |
| perspiration | 0.463839 |
| watch. | 0.439421 |
| Suez Canal | 0.659212 |
| aches | 0.46538 |
| vision | 0.439119 |
| annual vaccination | 0.674755 |
| annual influenza vaccination | 0.882108 |
| severe case | 0.64579 |
| dream | 0.439234 |
| mere inches | 0.647146 |
| steel deck | 0.624132 |
| U.S. Navy | 0.629674 |
| duties | 0.441551 |
| flu symptoms | 0.708589 |
|
| general discomfort | 0.648786 |
| sand bank | 0.617521 |
| mandatory inoculation | 0.657643 |
| sun | 0.437915 |
| crew | 0.437782 |
| departure time | 0.643081 |
| tier | 0.444051 |
| Storyteller | 0.44571 |
| United States Navy | 0.895696 |
| course | 0.437346 |
| annual flu vaccination | 0.921373 |
| pay line | 0.600371 |
| Mediterranean Sea | 0.898323 |
| dead culture | 0.608094 |
| active service | 0.611614 |
| midnight | 0.439058 |
| influenza vaccines | 0.652201 |
| South | 0.439727 |
| absolute minimum | 0.610762 |
| Navy personnel | 0.620393 |
| onset | 0.449854 |
| doctor | 0.434329 |
| watch station | 0.606086 |
| bunk | 0.529621 |
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Centers for Disease Control and Prevention |
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Calidad de las revisiones sistemáticas de estudios observacionales no terapéuticos. |
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Disease Detective: Greg - 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. |
| enormous task | 0.547611 |
| public health epidemiology | 0.63632 |
| fact | 0.42741 |
| deadly virus | 0.539326 |
| short-term goal | 0.531324 |
| officer | 0.42484 |
| infectious disease studies | 0.654968 |
| fever | 0.4267 |
| training | 0.422924 |
| Greg | 0.588393 |
| Navy diver | 0.561588 |
| famine response | 0.547931 |
| skills | 0.422939 |
| Ebola outbreak | 0.966605 |
| potentially dangerous diseases | 0.680343 |
| patient | 0.424032 |
| MRSA | 0.433215 |
| Rocky Mountain | 0.547236 |
| surveillance | 0.422842 |
| CDC detective | 0.606331 |
| public health | 0.682366 |
|
| CDC staff | 0.566502 |
| hard work | 0.538007 |
| contact tracing | 0.758717 |
| H1N1 influenza | 0.553822 |
| Ghana | 0.428152 |
| good opportunity | 0.532539 |
| Leishmaniasis | 0.434839 |
| history | 0.425087 |
| Kenya | 0.42557 |
| long- term goal | 0.637675 |
| heart | 0.424006 |
| spread | 0.476498 |
| symptoms | 0.423927 |
| disease experts CDC | 0.702303 |
| largest Ebola outbreak | 0.810207 |
| personal risks | 0.528463 |
| Public Health Service | 0.681237 |
| West Africa | 0.671774 |
| principles | 0.422431 |
| stranger | 0.436017 |
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Child Passenger Safety. Buckle up every age, every trip |
This month's Vital Signs (www.cdc.gov/vitalsigns/) reports that motor vehicle crashes are a leading cause of death for children in the US. Buckling up is the best way to save lives and reduce injuries.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://streaming.cdc.gov/vod.php?id=b28af940915d89aa67d021419673dbea20140203140543296 |
| trip | 0.428055 |
| Child Passenger Safety | 0.959915 |
|
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Pedestrian Safety | Motor Vehicle Safety | CDC InjuryCenter |
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| Human Services | 0.275304 |
| car crash | 0.319856 |
| Accid Anal Prev | 0.455563 |
| Additional Risk Factors | 0.437575 |
| Disease Control | 0.2781 |
| blood alcohol concentration | 0.447571 |
| crash-related pedestrian death | 0.774969 |
| retro-reflective clothing | 0.298006 |
| non-intersection locations | 0.285073 |
| fatal pedestrian crashes | 0.781803 |
| Web-based Injury Statistics | 0.425945 |
| Pedestrians ages | 0.586452 |
| vehicle crash injury | 0.42046 |
|
| U. Pedestrian fatality | 0.666308 |
| traffic crashes | 0.565704 |
| pedestrians | 0.739731 |
| passenger vehicle | 0.310031 |
| United States.1 | 0.313968 |
| exposure-based methods | 0.29219 |
| urban areas | 0.28523 |
| emergency departments | 0.306142 |
| higher vehicle speeds | 0.443062 |
| Older adults | 0.322636 |
| car impact speed | 0.424612 |
| non-fatal crash-related injuries | 0.484545 |
| Beck LF | 0.285567 |
|
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Poisoning Deaths Involving Opioid Analgesics - New YorkState, 2003-2012 |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| similar upward trend | 0.342596 |
| Mark J. Sharp | 0.394609 |
| Medicaid enrollees | 0.5188 |
| opioid analgesic deaths | 0.497888 |
| York State Department | 0.353347 |
| Medicaid enrollment figures | 0.37503 |
| age-adjusted death rates | 0.416004 |
| Medicaid population | 0.365366 |
| New York City | 0.362435 |
| state vital statistics | 0.395025 |
| prescription opioid-related deaths | 0.389486 |
| higher age-adjusted death | 0.347291 |
| deaths | 0.581051 |
| post-mortem drug test | 0.350531 |
| Thomas A. Melnik | 0.353229 |
| opioid analgesic-related mortality | 0.662005 |
| bridged-race population estimates | 0.345585 |
| Medicaid enrollment | 0.422428 |
| York state residents | 0.433637 |
| new york state | 0.88845 |
| opioid involvement | 0.417932 |
| statewide Medicaid enrollment | 0.41759 |
| death certificate | 0.394965 |
| statistics multiple-cause-of-death data | 0.349441 |
|
| higher death rates | 0.355668 |
| non-NYC reporting jurisdictions | 0.3475 |
| opioid analgesic poisoning | 0.444675 |
| death rates | 0.433619 |
| nearly quadrupled death | 0.357106 |
| specific drug types | 0.350386 |
| state Medicaid enrollees | 0.392504 |
| U.S. standard population | 0.345465 |
| Medicaid recipients | 0.376071 |
| opioid analgesic poisonings | 0.456639 |
| multiple-cause-of-death mortality data | 0.360595 |
| Prescription Monitoring Program | 0.347559 |
| Medicaid enrollment data | 0.417951 |
| U.S. Census Bureau | 0.345586 |
| total drug mortality | 0.36099 |
| drug poisoning fatalities | 0.354028 |
| rate ratios | 0.34577 |
| opioid analgesics | 0.977794 |
| opioid analgesic-related deaths | 0.570277 |
| drug deaths | 0.384237 |
| multiple drug involvement | 0.347804 |
| demographic differences | 0.347936 |
| frequently documented drugs | 0.34323 |
| crude death rates | 0.356092 |
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Global Measles and Rubella Laboratory Network Support forElimination Goals, 2010-2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Measles Nucleotide Surveillance | 0.875848 |
| rubella viruses | 0.697678 |
| rubella genotype information | 0.667602 |
| rubella virus | 0.785155 |
| measles elimination goals | 0.712327 |
| rubella | 0.995313 |
| measles virus | 0.715375 |
| regional measles | 0.675854 |
| case confirmation | 0.65807 |
| World Health Organization | 0.652279 |
| Rubella Laboratory Network | 0.883091 |
| Rubella Strategic Plan | 0.665164 |
| rubella elimination targets | 0.777704 |
| proficiency testing program | 0.658096 |
| global specialized laboratories | 0.681329 |
| JRF data | 0.64044 |
| laboratories | 0.694228 |
| GAVP regional measles | 0.67272 |
| rubella virus transmission | 0.655043 |
| congenital rubella syndrome | 0.834817 |
| laboratory-confirmed rubella cases | 0.664034 |
| laboratory-confirmed measles cases | 0.676558 |
| Global Measles | 0.733679 |
| high quality | 0.761503 |
| rubella elimination goals | 0.668679 |
|
| rubella IgM | 0.636892 |
| measles cases | 0.684708 |
| case-based surveillance | 0.650459 |
| rubella elimination efforts | 0.899676 |
| measles virus genotypes¶¶ | 0.675874 |
| Measles viral sequences | 0.643123 |
| eligible measles sequences | 0.672809 |
| public health | 0.6792 |
| rubella virus sequences | 0.673536 |
| serum specimens | 0.641893 |
| real-time disease surveillance | 0.640546 |
| rubella syndrome cases | 0.699667 |
| rubella virus genome | 0.710519 |
| high quality laboratory | 0.700355 |
| measles virus sequences | 0.68628 |
| case-based surveillance data | 0.646164 |
| case-based measles surveillance | 0.728399 |
| Nucleotide Surveillance database | 0.717152 |
| measles IgM | 0.710411 |
| rubella virus genotypes*** | 0.66316 |
| Rubella Nucleotide Surveillance | 0.976036 |
| measles virus genome | 0.649434 |
| quality laboratory surveillance | 0.650987 |
| measles | 0.998764 |
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