| 6872 |
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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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| 7414 |
Centers for Disease Control and Prevention |
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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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| 8287 |
Centers for Disease Control and Prevention |
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Notifiable Diseases and Mortality Tables - March 8, 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. |
| H. influenzae | 0.385129 |
| National Center | 0.301583 |
| cases | 0.436533 |
| CDC | 0.294622 |
| novel influenza | 0.643924 |
| Total case counts | 0.467161 |
| pandemic influenza | 0.951943 |
| measles cases | 0.342141 |
| ** Data | 0.347558 |
|
| Cumulative total E. | 0.475127 |
| Influenza Division | 0.442359 |
| 2009 pandemic | 0.765397 |
| probable cases | 0.328045 |
| Respiratory Diseases | 0.308075 |
| rubella cases | 0.31017 |
| human infection | 0.329997 |
| influenza A virus | 0.477823 |
|
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| 8638 |
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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| 9262 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease - CDC: Volume 10, 2013: 12_0324 |
Volumen 10 — el 27 de junio de 2013. |
| Cerutti B | 0.445306 |
| Terry Bush | 0.461782 |
| Mahoney L | 0.505221 |
| Susan M | 0.4728 |
| Thompson JR | 0.475308 |
| Tobacco Quit Line | 0.741465 |
| Zbikowski SM | 0.485404 |
| Smokers With Diabetes | 0.976082 |
|
| Gillian L | 0.488024 |
| Barbara Cerutti | 0.482149 |
| Bush T | 0.472114 |
| previos intentos | 0.387492 |
| Juliet R | 0.47293 |
| Weight Outcomes | 0.456204 |
| Lisa Mahoney | 0.501075 |
|
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| 11316 |
Centers for Disease Control and Prevention |
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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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Pertussis | Whooping Cough | Use of PCR for Diagnosis | CDC |
Best Practices for Health Care Professionals on the use of Polymerase Chain Reaction (PCR) for Diagnosing Pertussis |
| Bordetella pertussis bacterium | 0.700958 |
| pertussis diagnosis | 0.622022 |
| bacterial DNA | 0.605426 |
| single target PCR | 0.583092 |
| basic infection-control measures | 0.502162 |
| liquid transport medium | 0.507399 |
| unacceptably low rates | 0.50849 |
| pertussis | 0.974079 |
| high cycle threshold | 0.499321 |
| high Ct values | 0.58669 |
| specimen contamination | 0.491034 |
| pertussis specimen collection | 0.682871 |
| Careful specimen collection | 0.523821 |
| health care professionals | 0.522727 |
| timely diagnosis | 0.46972 |
| falsely-negative results | 0.472154 |
| pertussis vaccines | 0.683183 |
| DNA sequences | 0.527208 |
| contaminant DNA | 0.558142 |
| posterior nasopharynx | 0.520775 |
| swab tips | 0.485123 |
| falsely-positive results | 0.624654 |
| clinical laboratories | 0.541585 |
| liquid transport media | 0.57517 |
|
| Polymerase chain reaction | 0.521738 |
| dry swab | 0.477351 |
| PCR results | 0.556715 |
| PCR | 0.814919 |
| DNA sequence | 0.501403 |
| amplified DNA | 0.50606 |
| PCR assays | 0.563982 |
| Asymptomatic close contacts | 0.515792 |
| PCR target | 0.543511 |
| anterior nasal swabs | 0.527173 |
| important tool | 0.52196 |
| PCR testing | 0.738274 |
| multiple copies | 0.502587 |
| diagnostic test results | 0.509357 |
| inaccurate results | 0.478785 |
| calcium alginate swabs | 0.526029 |
| swab stick | 0.477948 |
| post-exposure prophylaxis decisions | 0.515161 |
| pertussis disease | 0.601636 |
| DNA recovery | 0.515761 |
| clinical specimen | 0.484298 |
| PCR-detectable B. pertussis | 0.66513 |
| non-liquid transport media | 0.508167 |
| swab shaft | 0.532364 |
|
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Centers for Disease Control and Prevention |
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Pedestrian Safety | Motor Vehicle Safety | CDC InjuryCenter |
null |
| 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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| 14228 |
Centers for Disease Control and Prevention |
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5 Things You Really Need to Know About Zika | Public Health Matters Blog | Blogs |
CDC - Blogs - Public Health Matters Blog – 5 Things You Really Need to Know About ZikaPublic Health Matters Blog - Sharing our stories on preparing for and responding to public health events |
| mosquito bites | 0.40963 |
| control mosquitoes | 0.370647 |
| Zika infection | 0.364499 |
| male partner travel | 0.363418 |
| Zika virus | 0.949585 |
| pregnant women | 0.443249 |
| male partner | 0.40216 |
| mosquitoes | 0.476861 |
| lab testing | 0.373869 |
| recent outbreaks | 0.378488 |
| -registered insect repellents | 0.369519 |
| breastfeeding women | 0.340161 |
| Pacific Islands | 0.376327 |
| infected patients | 0.362242 |
| Zika virus disease | 0.549509 |
| young mosquitoes | 0.370812 |
| Zika cases | 0.368837 |
| normal duty functions | 0.358902 |
| American Health Organization | 0.364008 |
| human immunodeficiency virus | 0.414432 |
| primary care provider | 0.363271 |
| Environmental Protection Agency | 0.370771 |
| infected HCP | 0.369573 |
| infected Aedes species | 0.453845 |
| door screens | 0.370774 |
|
| air conditioning | 0.371619 |
| United States | 0.497446 |
| Aedes species mosquitoes | 0.405114 |
| long pants | 0.372987 |
| tropical Africa | 0.373711 |
| possible association | 0.337543 |
| long-sleeved shirts | 0.37374 |
| Zika virus infection | 0.500806 |
| standing water | 0.365577 |
| continental United States | 0.376519 |
| Southeast Asia | 0.37635 |
| product label instructions | 0.362278 |
| chikungunya viruses | 0.378112 |
| hepatitis C virus | 0.385317 |
| birth defect | 0.364802 |
| virus disease cases | 0.419477 |
| Wear long-sleeved shirts | 0.362838 |
| traditional endemic areas | 0.365217 |
| people | 0.367678 |
| infected person | 0.364156 |
| infected mosquito | 0.449678 |
| bed net | 0.33886 |
| Centro Quimico Cancun | 0.36045 |
| healthcare provider | 0.406509 |
|
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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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