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Centers for Disease Control and Prevention |
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Flu Partner Success Stories: Childhood Influenza Immunization Coalition (CIIC) |
Partnership success stories, Childhood Influenza Immunization Coalition (CIIC) - CDC |
| National Foundation | 0.203163 |
| Wendy Sue Swanson | 0.30303 |
| Childhood Influenza Immunization | 0.965983 |
| influenza vaccination rates | 0.676397 |
| CIIC membership | 0.22837 |
| influenza vaccination | 0.82643 |
| 2012-2013 influenza season | 0.641747 |
| influenza awareness | 0.433948 |
| member representatives | 0.310471 |
| contact Jennifer Bender | 0.289724 |
|
| immunization community | 0.220723 |
| influenza immunization recommendation | 0.72219 |
| consumer media outreach | 0.32723 |
| national health priority | 0.359818 |
| member communications channels | 0.313962 |
| Seattle Mama Doc | 0.3014 |
| National Influenza Vaccination | 0.583291 |
| social media | 0.306998 |
| Influenza Immunization Coalition | 0.717298 |
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Centers for Disease Control and Prevention |
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Frequently Asked Questions - Yellow Fever |
Basic information about Yellow fever. |
| South America | 0.365996 |
| vaccine recommendations | 0.370129 |
| peak mosquito | 0.328557 |
| EPA-registered repellent | 0.33172 |
| FDA-approved yellow fever | 0.439857 |
| Mosquito repellents | 0.328759 |
| repellent containing permethrin | 0.352845 |
| Wear proper clothing | 0.33678 |
| authorized yellow fever | 0.436783 |
| yellow fever virus | 0.601253 |
| pregnant women | 0.353713 |
| apparent adverse effects | 0.334902 |
| immune systems | 0.324137 |
| yellow fever vaccine | 0.763694 |
| severe form | 0.32619 |
| initial symptoms | 0.34 |
| Fever Vaccine Requirements | 0.44863 |
| Fever Vaccination Clinics | 0.400648 |
| severe cases | 0.326144 |
| International Health Regulations | 0.33473 |
| yellow fever vaccination | 0.562221 |
| yellow fever risk | 0.4472 |
| yellow fever | 0.918275 |
| long pants | 0.337754 |
| live virus vaccine | 0.389379 |
|
| U.S. travelers | 0.323554 |
| vaccine virus | 0.37872 |
| immune function | 0.32307 |
| incubation period | 0.322283 |
| severe headache | 0.325797 |
| subtropical areas | 0.324553 |
| yellow fever disease | 0.467348 |
| Insect Repellent | 0.331956 |
| fever virus transmission | 0.438002 |
| non-steroidal anti-inflammatory drugs | 0.338631 |
| people | 0.344676 |
| yellow discoloration | 0.378926 |
| peak biting times | 0.335982 |
| infected mosquito | 0.331816 |
| Vaccine Adverse Events | 0.38122 |
| short time outdoors | 0.337051 |
| lemon eucalyptus | 0.338982 |
| healthcare provider | 0.396413 |
| high fever | 0.392044 |
| Vaccine page | 0.374842 |
| healthcare workers | 0.322608 |
| general body aches | 0.344034 |
| severe illness | 0.325552 |
| brief period | 0.322494 |
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Body Art - NIOSH Workplace Safety and Health Topic |
null |
| safe work practices | 0.772223 |
| hepatitis B virus | 0.745786 |
| piercers | 0.479725 |
| professional atmosphere | 0.616271 |
| eyes | 0.441625 |
| unique talent | 0.661728 |
| artists | 0.503514 |
| contact | 0.478147 |
| hepatitis C virus | 0.744819 |
| bloodborne virus | 0.742099 |
| client’s blood | 0.635837 |
| bloodborne pathogen | 0.719632 |
| nose | 0.448668 |
| viruses | 0.455114 |
|
| art | 0.444178 |
| set-up | 0.453684 |
| diseases | 0.440477 |
| clean shop | 0.614096 |
| procedure | 0.442949 |
| blood splashes | 0.625369 |
| clean-up stages | 0.636687 |
| exposures | 0.456905 |
| mouth | 0.447261 |
| HIV | 0.448147 |
| human immunodeficiency virus | 0.931262 |
| risk | 0.443787 |
| family | 0.441335 |
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Centers for Disease Control and Prevention |
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Who Is At Risk of Anthrax? |
Most people will never be exposed to anthrax but there are activities that put some people at greater risk than others. Learn more about who and what to do if you think you've been exposed. |
| specific occupations | 0.490128 |
| livestock handlers | 0.492561 |
| CDC’s National | 0.504129 |
| visit Information | 0.480407 |
| farmers | 0.336174 |
| Occupational Safety | 0.495414 |
| example | 0.333399 |
| veterinarians | 0.338361 |
| Recommendations | 0.334366 |
| respirators | 0.357516 |
| U.S. military | 0.480894 |
| certain laboratory workers | 0.630144 |
| Institute | 0.332099 |
| contact | 0.364675 |
|
| anthrax vaccine | 0.846643 |
| nursing women | 0.472517 |
| increased risk | 0.485145 |
| greater risk | 0.488643 |
| Health | 0.331995 |
| animal products | 0.479202 |
| protective clothing | 0.492093 |
| people | 0.416518 |
| Specific Groups | 0.470793 |
| risks | 0.335412 |
| exposure | 0.340084 |
| guidance | 0.33398 |
| anthrax spores | 0.944224 |
| activities | 0.33302 |
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Centers for Disease Control and Prevention |
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Deaths and Severe Adverse Events Associated withAnesthesia-Assisted Rapid Opioid Detoxification - New York City,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. |
| long-acting opioid agonists | 0.282556 |
| standard opioid detoxification | 0.209039 |
| additional adverse events | 0.253068 |
| Poison Control Center | 0.299987 |
| underwent AAROD | 0.313983 |
| adverse events | 0.738426 |
| opioid withdrawal | 0.204635 |
| median naloxone dose | 0.200744 |
| AAROD-associated adverse events | 0.212529 |
| New York City | 0.924154 |
| opioid antagonist infusion | 0.218106 |
|
| median naltrexone dose | 0.207249 |
| opioid antagonist naloxone | 0.232882 |
| withdrawal symptoms | 0.22435 |
| opioid detoxification | 0.211161 |
| York City clinic | 0.227906 |
| supervised opioid detoxification | 0.20528 |
| substance abuse treatment | 0.296829 |
| opioid dependence treatment | 0.258547 |
| rapid opiate detoxification | 0.203822 |
| opioid dependence | 0.294073 |
|
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Centers for Disease Control and Prevention |
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CDC - Home - Tribal Support |
CDC - Home - Tribal Support |
| CDC | 0.743278 |
| primary link | 0.359705 |
| United States | 0.337712 |
| CDC leaders | 0.601026 |
| Funding Resources | 0.366332 |
| AI/AN tribes | 0.375245 |
| CDC’s Office | 0.662599 |
| tribal-serving organizations | 0.573488 |
| agency programs | 0.338786 |
| tribal sovereignty | 0.3802 |
| principal point | 0.336017 |
| public health services | 0.559267 |
| Toxic Substance | 0.359856 |
| Tribal Support Unit | 0.964503 |
|
| public health | 0.814401 |
| Native populations | 0.343078 |
| principal advisor | 0.344465 |
| government-to-government basis | 0.330781 |
| CDC Calls | 0.715616 |
| tribal communities | 0.354966 |
| Territorial Support | 0.37039 |
| tribal health issues | 0.561829 |
| CDC/ATSDR policy | 0.346793 |
| activities | 0.210708 |
| Health Success Stories | 0.628279 |
| American Indian/Alaska Native | 0.597674 |
| tribal governments | 0.888659 |
| Disease Registry | 0.358345 |
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Centers for Disease Control and Prevention |
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Enfermeros de salud pública de Alaska abordan el consumo de alcohol |
Con cuestionarios de detección de consumo de alcohol y una breve intervención se puede ayudar a las personas que beben demasiado a tomar menos. |
| Archivo Apple Quicktime | 0.315848 |
| Archivo RealPlayer | 0.309749 |
| breve intervención | 0.315927 |
| Archivo Microsoft PowerPoint | 0.317011 |
| Archivo Adobe PDF | 0.315612 |
| amplia gama | 0.311016 |
| Estados Unidos | 0.310874 |
| Archivo Microsoft | 0.344049 |
| Archivo Microsoft Word | 0.316847 |
|
| Centro Regional | 0.333074 |
| atención primaria pdf | 0.316079 |
| enfermera asesora | 0.311143 |
| salud pública | 0.999998 |
| Archivo Zip Comprimido | 0.315732 |
| informe signos vitales | 0.3161 |
| Archivo Microsoft Excel | 0.315616 |
| Colegio Estadounidense | 0.327243 |
| *El consumo | 0.317468 |
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Getting Enough Sleep? | CDC Features |
35% of U.S. adults do not get enough sleep. Not getting enough sleep continues to be a problem in the U.S. |
| good health.1 | 0.3696 |
| large number | 0.365369 |
| sleep health | 0.663581 |
| Risk Factor Surveillance | 0.520825 |
| professional sleep societies | 0.732075 |
| good decisions | 0.366367 |
| cardiometabolic risk factors | 0.413809 |
| evening shift | 0.39429 |
| Altevogt BM | 0.361391 |
| 10-day sleep journal | 0.702991 |
| night shift | 0.402895 |
| Perlis ML | 0.362276 |
| National Academies Press | 0.408286 |
| poor mental health | 0.425073 |
| adults age | 0.371204 |
| sleep problems | 0.667511 |
| lighter blue states | 0.421757 |
| Colten HR | 0.363378 |
| lower percentage | 0.364444 |
| B. Sleep duration | 0.681566 |
| shift workers | 0.397152 |
| Fall asleep | 0.362032 |
| Sleep Research Society | 0.683213 |
| Bliwise DL | 0.361653 |
| Behavioral Risk Factor | 0.521202 |
|
| Habitual sleep duration | 0.695658 |
| Sleep Deprivation | 0.638952 |
| healthy adults | 0.369747 |
| darker blue states | 0.422946 |
| Appalachian Mountains | 0.361882 |
| sleep | 0.928554 |
| best health | 0.370649 |
| 24-hour period | 0.3649 |
| practice good sleep | 0.726318 |
| heart disease | 0.367316 |
| southeastern U.S. | 0.362234 |
| early death.2-4 | 0.367172 |
| 50 states | 0.369882 |
| chronic diseases | 0.420163 |
| U.S. adults | 0.438744 |
| Unmet Public Health | 0.415575 |
| Badr MS | 0.364129 |
| sleep disorder | 0.640314 |
| Great Plains states | 0.419393 |
| healthcare provider | 0.36469 |
| high blood pressure | 0.423925 |
| greater percentage | 0.367949 |
| Sleep Medicine | 0.698073 |
| motor vehicle crashes | 0.423523 |
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Evaluation of a National Call Center and a Local Alerts System for Detection of New Cases of Ebola Virus Disease - Guinea,2014-2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| active Ebola cases | 0.628019 |
| Ebola surveillance | 0.477456 |
| VHF database | 0.649387 |
| active prefectures | 0.507178 |
| time period | 0.48106 |
| prefecture alerts database | 0.496165 |
| local alerts databases | 0.472194 |
| match probability score | 0.476935 |
| local prefecture alerts | 0.491616 |
| center database | 0.551261 |
| sensitivity estimates | 0.492959 |
| low sensitivity | 0.502814 |
| local alerts | 0.78367 |
| local alerts database | 0.54621 |
| 2CDC Ebola Response | 0.492548 |
| epidemic setting | 0.47989 |
| sensitivity | 0.680889 |
| passive surveillance | 0.505169 |
| public health information | 0.571806 |
| Ebola virus disease | 0.506827 |
| Ebola epidemic | 0.509036 |
| national alert calls | 0.49316 |
| public health infrastructure | 0.48862 |
| Ebola case definition | 0.504755 |
| local alert numbers | 0.476467 |
|
| local alert lines | 0.47465 |
| Guinea | 0.474737 |
| prefectures | 0.585674 |
| local prefectures | 0.475694 |
| limited sensitivity | 0.47052 |
| Ebola cases | 0.760261 |
| prefecture health departments | 0.496722 |
| local alerts systems | 0.471476 |
| record linkage algorithm | 0.484663 |
| public health | 0.596826 |
| national call center | 0.921229 |
| new Ebola cases | 0.517883 |
| higher sensitivity estimate | 0.489911 |
| local alert calls | 0.484129 |
| alert calls | 0.655427 |
| Ebola detection | 0.474457 |
| equal sensitivity | 0.475329 |
| center sensitivity | 0.508904 |
| local public health | 0.497127 |
| sensitivity estimate | 0.536303 |
| Ebola case detection | 0.515241 |
| Ebola treatment units | 0.495683 |
| Ebola testing | 0.483243 |
| prefecture alert databases | 0.501869 |
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2015 National Influenza Vaccination Week (NIVW) Key Points |
2015 National Influenza Vaccination Week (NIVW) Key Points |
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CLICK HERE |