| 742 |
Centers for Disease Control and Prevention |
Html |
en |
School Located Influenza Vaccination Info | Administering Vaccine |
School-located vaccination: Administering Vaccine, Adverse Events, Recording Information, Legal Issues, FERPA, HIPAA - CDC |
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| 2996 |
Centers for Disease Control and Prevention |
Video |
en |
Surgeon General Video Contest: We Deserve a Chance to Live Out Our Dreams! |
Kids learn about life by watching their parents. What if kids grew up in a smoke-free world? Created by first runner-up, Taylor Blackwell. |
| Rap | 0.339269 |
| Taylor Blackwell | 0.496437 |
| CDC | 0.59864 |
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| Catherine Tate | 0.385017 |
| Slate Magazine | 0.397194 |
| smoke-free world | 0.40976 |
| Disease Control | 0.910341 |
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| runner | 0.621024 |
| Impact | 0.338056 |
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| age category | 0.399524 |
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| Ric Blackwell | 0.40026 |
| sec ad | 0.396285 |
| Duration | 0.913243 |
| Florida | 0.318601 |
| YouTube | 0.319913 |
| simple guide | 0.396138 |
| Tobacco | 0.460569 |
| Buerger | 0.319325 |
|
| Quitline NZ | 0.398329 |
| http://streaming.cdc.gov/vod.php?id=f.. | 0.319265 |
| Blackwell Acting Reel | 0.467423 |
| Comic Relief | 0.384859 |
| parents | 0.319381 |
| Centers | 0.461506 |
| Adderall XR | 0.400155 |
| David Tennant | 0.388663 |
| Grand Prize | 0.69862 |
| life | 0.337982 |
| Liza Weil smoking2 | 0.465515 |
| Prevention | 0.461333 |
| Crayons | 0.320802 |
| Yo tengo el | 0.502504 |
| Video Contest | 0.400892 |
| views | 0.730871 |
| kids | 0.340645 |
| Cigarettes Smoke | 0.39407 |
| CDC Tips | 0.451514 |
| accordance | 0.318605 |
| Comments | 0.318404 |
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| poder | 0.320122 |
| Surgeon General | 0.400355 |
|
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| 5759 |
Centers for Disease Control and Prevention |
Html |
en |
Platinum (soluble salts, as Pt) - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
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|
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| 6526 |
Centers for Disease Control and Prevention |
Html |
en |
Key Facts about Human Infections with Variant Viruses (Swine Origin Influenza Viruses in Humans) |
Key Facts about Human Infections with Variant Viruses (Swine Origin Influenza Viruses in Humans) - CDC |
| type A influenza | 0.386903 |
| swine influenza virus | 0.591329 |
| novel viruses | 0.275777 |
| variant flu viruses | 0.43509 |
| swine industry | 0.235236 |
| H3N2 virus | 0.216854 |
| Mortality Weekly Report | 0.206511 |
| United States | 0.206038 |
| variant influenza virus. | 0.460632 |
| human influenza viruses | 0.616197 |
| swine herds | 0.247966 |
| CDC Seasonal Influenza | 0.378394 |
| infected swine | 0.283659 |
| infected pigs | 0.252116 |
| influenza-infected pigs | 0.229355 |
| pigs | 0.34685 |
| Variant Influenza Viruses | 0.5677 |
| variant influenza virus | 0.470507 |
| Swine flu viruses | 0.537581 |
| variant viruses | 0.434956 |
| exhibits housing pigs | 0.246732 |
| human-to-human transmission | 0.201732 |
| swine origin influenza | 0.491657 |
| influenza A virus | 0.377467 |
|
| novel influenza virus | 0.457123 |
| influenza vaccines | 0.350998 |
| seasonal influenza | 0.484044 |
| influenza pandemic | 0.355698 |
| influenza virus infections | 0.600287 |
| Yes. Swine flu | 0.308289 |
| variant viruses. | 0.20184 |
| human seasonal influenza | 0.401157 |
| people | 0.252521 |
| influenza A H1N1 | 0.345369 |
| seasonal flu transmits | 0.21559 |
| pandemic preparedness efforts | 0.208144 |
| human infections | 0.305787 |
| new virus | 0.256025 |
| limited person-to-person spread | 0.212188 |
| influenza viruses | 0.964527 |
| sick pigs | 0.267213 |
| influenza virus | 0.720951 |
| variant virus infections | 0.355254 |
| infect pigs | 0.213257 |
| U.S. Human Infections | 0.238789 |
| state level surveillance | 0.200564 |
| influenza a h3n2 | 0.391627 |
|
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| 8332 |
Centers for Disease Control and Prevention |
Html |
en |
TB - Basic TB Facts - TB Personal Stories |
Division of Tuberculosis Elimination |
| latent TB infection | 0.644718 |
| treatment | 0.381576 |
| high school | 0.203777 |
| night sweats | 0.209705 |
| unexplained weight loss | 0.290472 |
| hardest parts | 0.202004 |
| extracurricular activities | 0.211967 |
| United States | 0.211084 |
| TB survivor | 0.443269 |
|
| TB disease | 0.768439 |
| emergency room | 0.209528 |
| family member | 0.214575 |
| cough medicine | 0.211709 |
| TB | 0.901576 |
| health worker check | 0.270974 |
| local TB program | 0.463141 |
| peer counselor | 0.312133 |
| family | 0.246555 |
|
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| 9175 |
Centers for Disease Control and Prevention |
Html |
en |
Cancer Rates by Race and Ethnicity |
The rate of people getting cancer or dying from colorectal cancer by race and ethnicity. |
| Asian/Pacific Islander women | 0.425309 |
| invasive cancer sites | 0.392168 |
| NVSS | 0.222621 |
| cancer excludes basal | 0.396561 |
| genital organs | 0.296418 |
| number | 0.261333 |
| shows | 0.262192 |
| ethnic populations | 0.392859 |
| Indian/Alaska Native women | 0.435808 |
| Asian/Pacific Islander men | 0.427571 |
| registry-specific data quality | 0.377963 |
| highest rate | 0.41272 |
| Hispanic origin | 0.403081 |
| National Vital Statistics | 0.366867 |
| Behavior recode | 0.303962 |
| National Program | 0.298032 |
| age groups | 0.393999 |
| graph | 0.267508 |
| Census P25–1130 | 0.395351 |
| population coverage | 0.392903 |
| data quality | 0.384298 |
| persons | 0.282623 |
| situ cancers | 0.2982 |
| white women | 0.3067 |
| death rates | 0.44944 |
|
| black women | 0.29557 |
| U.S. standard population | 0.546775 |
| ethnicity | 0.280396 |
| 100,000 | 0.261161 |
| skin | 0.23178 |
| USCS technical notes | 0.882005 |
| data quality criteria | 0.377087 |
| cancer incidence rate | 0.438179 |
| cancer registries | 0.398078 |
| potential differences | 0.388704 |
| Asian/Pacific Islander | 0.695785 |
| †Race categories | 0.392029 |
| *Rates | 0.236644 |
| National Cancer Institute | 0.399773 |
| caution | 0.312727 |
| black men | 0.375143 |
| urinary bladder | 0.297142 |
| End Results program | 0.386816 |
| squamous cell carcinomas | 0.388559 |
| cancer varies | 0.33195 |
| U.S. population | 0.385833 |
| people | 0.276619 |
| American Indian/Alaska Native | 0.90645 |
| cancer | 0.505493 |
|
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| 9339 |
Centers for Disease Control and Prevention |
Html |
es |
Reducción de enfermedades cardiovasculares mediante guías de pacientes, Denver, Colorado, 2007-2009 |
null |
| Task Force | 0.439066 |
| posibles participantes | 0.590717 |
| Prev Med | 0.608006 |
| Increasing physical activity | 0.439606 |
| D’Agostino RB | 0.444649 |
| cardiovascular health promotion | 0.435488 |
| risk factors | 0.555447 |
| colesterol hdl | 0.637464 |
| colesterol ldl | 0.541493 |
| Kannel WB | 0.441261 |
| community health | 0.487639 |
| community health workers | 0.481655 |
| Denver Public Health | 0.443907 |
| Hospital Authority | 0.434563 |
| coronary heart | 0.623273 |
| salud comunitaria | 0.448033 |
| baja densidad | 0.488624 |
| Battaglia TA | 0.438665 |
| Public Health | 0.453172 |
| referenciaa periodo | 0.439137 |
| Wilson PW | 0.437098 |
| alto riesgo | 0.446644 |
| puntuación frs | 0.9552 |
| disease risk | 0.523207 |
| vasculopatÃa periférica | 0.511662 |
|
| mm hg | 0.44637 |
| physical activity questionnaire | 0.437454 |
| CaracterÃsticas Periodo | 0.464339 |
| Gen Intern Med | 0.582757 |
| alta densidad | 0.635437 |
| Salud Pública | 0.532261 |
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| bajos ingresos | 0.498242 |
| Intern Med | 0.655953 |
| aórtico abdominal | 0.447994 |
| Sullivan LM | 0.44187 |
| modifiable risk factors | 0.43532 |
| cardiopatÃa coronaria | 0.662293 |
| Arch Intern Med | 0.440705 |
| Denver Health | 0.462548 |
| presente intervención | 0.512404 |
| physical activity | 0.606014 |
| caracterÃsticas clÃnicas | 0.534321 |
| health center | 0.481708 |
| absolute cardiovascular risk | 0.438053 |
| mejorÃas significativas | 0.459824 |
| Community Preventive Services | 0.472714 |
| primary care | 0.443791 |
| puntuación frs frente | 0.449823 |
|
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| 9502 |
Centers for Disease Control and Prevention |
Html |
en |
Fatal Foodborne Clostridium perfringens Illness at a State Psychiatric Hospital — Louisiana, 2010 |
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. |
| C. perfringens–specific PCR | 0.435687 |
| beta toxin | 0.429094 |
| rabbit anti-Clostridium antibody | 0.453784 |
| psychiatric inpatient facilities | 0.474609 |
| stool specimens | 0.541172 |
| necrotizing colitis | 0.475031 |
| clostridial necrotizing enteritis | 0.450772 |
| Paul C. Melstrom | 0.431637 |
| kitchen-prepared suspect meal | 0.413743 |
| C. perfringens enterotoxin | 0.7248 |
| Clostridium perfringens | 0.597205 |
| outbreak | 0.46088 |
| food preparation guidelines | 0.477201 |
| Postmortem pathology | 0.446461 |
| Hospital infection control | 0.475378 |
| C. perfringens type | 0.686155 |
| patients | 0.427999 |
| loose stools | 0.433146 |
| C. perfringens | 0.969973 |
| impaired intestinal motility | 0.557694 |
| emergency department | 0.547713 |
| fatal necrotizing colitis | 0.473445 |
| foodborne illness | 0.614017 |
| strict food preparation | 0.412731 |
| Illness onset | 0.424772 |
|
| suspect meal | 0.472713 |
| United States | 0.442009 |
| ambulatory black man | 0.462547 |
| food preparation policies | 0.410002 |
| food service workers | 0.464422 |
| Raoult C. Ratard | 0.431204 |
| gastrointestinal illness | 0.41097 |
| large loose stool | 0.413429 |
| anti–intestinal motility | 0.455323 |
| species-specific C. perfringens | 0.634217 |
| Psychiatric hospital residents | 0.427478 |
| foodborne C. | 0.413754 |
| public health | 0.501331 |
| state psychiatric hospital | 0.632163 |
| kitchen staff members | 0.423533 |
| attack rate | 0.427673 |
| perfringens type A. | 0.605965 |
| staff members | 0.752161 |
| outbreak cause | 0.421877 |
| suspect evening meal | 0.5624 |
| hospital staff members | 0.427703 |
| infection control staff | 0.469721 |
| hospital guidelines | 0.413695 |
| postmortem examination | 0.447248 |
|
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| 10573 |
Centers for Disease Control and Prevention |
Html |
en |
Search the NIOSH Website |
null |
| NIOSH Research Rounds | 0.715365 |
| NIOSH Milestones | 0.609882 |
| NIOSH History | 0.611473 |
| Health Workforce Assessment | 0.201582 |
| NIOSH Programs | 0.651395 |
| Search Form Controls | 0.381327 |
| NIOSH Homepage | 0.712037 |
| Contact NIOSH | 0.809963 |
| NIOSH A-Z Index | 0.778422 |
| Contact NIOSH Add | 0.673955 |
| Worker Health Study | 0.203643 |
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|
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| Search Controls | 0.229884 |
| page options Skip | 0.22406 |
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| NIOSH Website | 0.908723 |
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| NIOSH Science Blog | 0.694829 |
| NIOSH Goals | 0.612192 |
| FRN Archive | 0.514051 |
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|
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| 15740 |
Centers for Disease Control and Prevention |
Html |
en |
Increases in Fentanyl-Related Overdose Deaths - Florida andOhio, 2013-2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| butyryl fentanyl | 0.457236 |
| fentanyl submissions | 0.576695 |
| fentanyl submissions data | 0.465404 |
| morphine-positive fentanyl deaths | 0.501671 |
| opioid overdose decedents | 0.364812 |
| law enforcement submissions | 0.359746 |
| medical examiner | 0.399909 |
| fentanyl analogs | 0.654363 |
| fentanyl death surveillance | 0.469295 |
| drug | 0.359304 |
| fentanyl-related overdose deaths | 0.419138 |
| overdose deaths | 0.436637 |
| fentanyl death rates | 0.502165 |
| distinguishing deaths | 0.351195 |
| IMF | 0.374347 |
| overdose risk | 0.345598 |
| National Forensic Laboratory | 0.35222 |
| Florida illicit market | 0.344856 |
| Florida | 0.425255 |
| highest fentanyl death | 0.4877 |
| persons | 0.355702 |
| fentanyl’s potency | 0.471206 |
| fentanyl decedents | 0.526304 |
| prescription fentanyl | 0.485881 |
|
| fentanyl overdoses | 0.483865 |
| illicitly manufactured fentanyl | 0.497857 |
| fentanyl death | 0.533264 |
| heroin overdose decedents | 0.37259 |
| mental health disorder | 0.384888 |
| acetyl fentanyl | 0.480103 |
| fentanyl analog submissions | 0.460061 |
| emergency medical services | 0.355419 |
| increases | 0.354234 |
| high-burden counties | 0.375388 |
| Forensic Laboratory Information | 0.352166 |
| fentanyl deaths | 0.975106 |
| overdose scene characteristics | 0.346 |
| fentanyl mortality | 0.503053 |
| U.S. fentanyl deaths | 0.503014 |
| Ohio Department | 0.349221 |
| law enforcement | 0.412813 |
| public health | 0.382613 |
| fentanyl overdose decedents | 0.535727 |
| Drug Enforcement Administration | 0.355863 |
| risk profiles | 0.345206 |
| sharp increases | 0.349418 |
| drug products | 0.348054 |
| Ohio | 0.422203 |
|
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