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Centers for Disease Control and Prevention |
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Propylene imine - NIOSH Pocket Guide to Chemical Hazards |
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Centers for Disease Control and Prevention |
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Cadmium dust (as Cd) - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
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| 6388 |
Centers for Disease Control and Prevention |
Html |
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Epi-X: Building a Network to Save Lives |
CDC Works For You 24/7 Saving Lives - Epi-X: Building a Network to Save Lives; The Epi-X network includes epidemiologists, laboratorians, veterinarians, health officers, environmental health specialists, statisticians, pharmacologists, and other key health officials from local, state, and federal agencies. Epi-X works continuously with these partners, providing the guidance and support needed to handle a variety of health threats. |
| prime example | 0.535587 |
| CDC | 0.421575 |
| Epidemic Information Exchange | 0.659617 |
| infectious diseases | 0.514329 |
| real-time emergency response | 0.618292 |
| reservoirs | 0.424561 |
| peers | 0.423895 |
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| federal government | 0.511534 |
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| state | 0.421122 |
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| people | 0.419687 |
| way | 0.422841 |
| key health officials | 0.660482 |
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Centers for Disease Control and Prevention |
Html |
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Health Communication Tools & Templates |
Gateway to Health Communication - Tools and Templates - CDC |
| social media messages | 0.343269 |
| Online Health information | 0.401903 |
| mobile phone text | 0.26203 |
| health issues | 0.288738 |
| interactive CD-ROM-based tool | 0.264634 |
| health topics | 0.273396 |
| social media channels | 0.363113 |
| United States Agency | 0.259712 |
| health observances | 0.275258 |
| Social Media Toolkit | 0.426305 |
| small local health | 0.349049 |
| Public Health Image | 0.391307 |
| Social Media Tools | 0.639947 |
| CDC health communication | 0.629604 |
| CDC Entertainment Education | 0.498922 |
| Promotes healthy lifestyles | 0.251511 |
| eHealth channels | 0.248708 |
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| CDC creation | 0.365378 |
| Best Practices | 0.248185 |
| current demographic breakdowns | 0.273903 |
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| Spot – Information | 0.238546 |
| Microsoft Office® software | 0.269278 |
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| Entertainment Education Content | 0.413614 |
| traditional marketing theories | 0.286069 |
| CDC eHealth data | 0.481887 |
| health promotion | 0.255385 |
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| multiple communication channels | 0.312974 |
| recent data highlights | 0.282737 |
| CDC Tip Sheets | 0.451284 |
| Health Marketing Basics | 0.36498 |
| CDC Social Media | 0.758356 |
| National Cancer Institute | 0.2621 |
| public health professionals | 0.335639 |
| social media | 0.918487 |
| Health Resources | 0.255289 |
| public health | 0.483249 |
| good health | 0.253395 |
| great starting point | 0.266983 |
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| CDC partners | 0.389295 |
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| ehealth data briefs | 0.428705 |
| Indian Health Service | 0.331275 |
| social media strategy | 0.348249 |
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Centers for Disease Control and Prevention |
Html |
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CDC Vital Signs - Colorectal Cancer Tests Save Lives |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| quality improvement organizations | 0.502164 |
| flu shot clinics | 0.519901 |
| Mortality Weekly Report | 0.497491 |
| health insurance | 0.444728 |
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| health centers | 0.438785 |
| lung cancer | 0.46024 |
| guaiac fecal occult | 0.550468 |
| Preventive Services Task | 0.554311 |
| health systems | 0.533153 |
| colorectal cancer | 0.955721 |
| lower education | 0.517542 |
| CRC screening | 0.556891 |
| patients | 0.505276 |
| Signs Issue details | 0.498791 |
| FOBT/FIT kits | 0.536401 |
| low testing rates | 0.534539 |
| at-home stool test | 0.590836 |
| sure patients | 0.454 |
| patient reminder systems | 0.517459 |
| Affordable Care Act | 0.515051 |
| Colorectal Cancer Screening | 0.59866 |
| doctors | 0.444985 |
| colorectal cancer tests | 0.653601 |
|
| track CRC testing | 0.666521 |
| Vital Signs | 0.568127 |
| CRC testing rates | 0.778503 |
| CRC tests | 0.655729 |
| local health department | 0.521806 |
| cancer screening rates | 0.553022 |
| leading health indicator | 0.530111 |
| patient navigators | 0.800452 |
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| Healthy People | 0.443447 |
| colonoscopy | 0.489069 |
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| primary care associations | 0.512276 |
| health | 0.563496 |
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| Meryl Streep/Control | 0.589603 |
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| preventive tests | 0.442993 |
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Centers for Disease Control and Prevention |
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Non-Polio Enterovirus | Outbreaks and Surveillance | Picornavirus | CDC |
In the United States, people can get infected with non-polio enteroviruses at any time of the year. However, it is more common in the summer and fall. |
| Enterovirus D68 | 0.568001 |
| commonly reported type | 0.305296 |
| enterovirus tests | 0.550385 |
| enterovirus | 0.995526 |
| United States | 0.868289 |
| descriptive epidemiological investigation | 0.273353 |
| Elk Grove Village | 0.260949 |
| National Enterovirus Surveillance | 0.686131 |
| enterovirus infection | 0.556013 |
| mouth disease | 0.439521 |
| large outbreaks | 0.233446 |
| Coxsackievirus A24 | 0.273376 |
| enterovirus reporting | 0.554008 |
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| laboratory-based surveillance | 0.203912 |
| Lancet Respir Med. | 0.279305 |
| Jackson MA | 0.285291 |
| Enteric Virus Surveillance | 0.307228 |
| coxsackievirus a6—Alabama | 0.238356 |
| severe hand | 0.368049 |
| Coxsackievirus A6 | 0.288511 |
| nationwide outbreak | 0.326191 |
| severe respiratory illness | 0.916754 |
| severe neurologic disease | 0.400451 |
| et al | 0.286798 |
| Midgley CM | 0.324666 |
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Director's Briefing: Latest on MRSA |
In the past decade, many of our country's biggest breakthroughs in preventing deadly infections in hospitals and other healthcare settings have come from the great work of the scientists here at CDC. In this Director's Briefing video, CDC Director Tom Frieden, MD, MPH, talks about new CDC research on MRSA, a serious healthcare-associated infection. Scientists studied 74,000 patients and found two simple solutions that can cut deadly infections by MRSA and other dangerous germs by nearly half.
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=9979306b859c5fc58a0dae7a630f7c8c20130530134936968 |
| MRSA | 0.967027 |
| Briefing | 0.973311 |
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Centers for Disease Control and Prevention |
Html |
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Outbreak of Human Pneumonic Plague with Dog-to-Human andPossible Human-to-Human Transmission - Colorado, June-July2014 |
Janine K. Runfola, MS1, Jennifer House, DVM2, Lisa Miller, MD2, Leah Colton, PhD2, Donna Hite1, Alex Hawley1, Paul Mead, MD3, Martin Schriefer, PhD3, Jeannine Petersen, PhD3, Colleen Casaceli, MPH4, Kristine M. Erlandson, MD5, Clayton Foster, MD5, Kristy L. |
| health care provider | 0.421241 |
| plague | 0.796115 |
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| untreated bubonic plague | 0.577944 |
| septicemic plague | 0.536243 |
| oral levofloxacin | 0.414501 |
| pneumonic plague | 0.750481 |
| Zoonotic Infectious Diseases | 0.448684 |
| health care providers | 0.415321 |
| human-to-human transmission | 0.503401 |
| symptomatic plague | 0.526499 |
| Y. pestis | 0.916453 |
| ill infected dog | 0.43449 |
| patient A. | 0.433585 |
| milder plague illness | 0.625757 |
| overall plague mortality | 0.568381 |
| human plague | 0.590249 |
| public health response | 0.414194 |
| dog | 0.484097 |
| prairie dog colony | 0.413775 |
| potential exposures | 0.454461 |
| Inactive prairie dog | 0.415438 |
| United States | 0.557694 |
| laboratory-confirmed plague | 0.533067 |
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| human health care | 0.425005 |
| Tri-County Health Department | 0.506961 |
| ill domestic animals | 0.500751 |
| pneumonia | 0.438756 |
| automated identification systems | 0.418375 |
| veterinary clinic employee | 0.490194 |
| incubation period | 0.417441 |
| Y. pestis infection | 0.603245 |
| P. luteola | 0.522545 |
| close contact | 0.633937 |
| plague exposure | 0.545366 |
| polymerase chain reaction | 0.587163 |
| plague cases | 0.543527 |
| public health | 0.537352 |
| health care | 0.493195 |
| convalescent serum specimens | 0.485423 |
| female veterinary clinic | 0.490202 |
| Primary pneumonic plague | 0.601729 |
| 1Tri-County Health Department | 0.414999 |
| Untreated pneumonic plague | 0.609585 |
| Yersinia pestis | 0.46369 |
| acute Y. pestis | 0.537131 |
| radiographic evidence | 0.436586 |
| bloody sputum | 0.459508 |
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Centers for Disease Control and Prevention |
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Current Cigarette Smoking Among Adults - United States,2005-2014 |
Ahmed Jamal, MBBS1; David M. Homa, PhD1; Erin O'Connor, MS1; Stephen D. Babb, MPH1; Ralph S. |
| Current cigarette smokers | 0.535227 |
| Health Insurance Marketplace | 0.465969 |
| health insurance | 0.890684 |
| state Medicaid programs | 0.533886 |
| Tobacco smoking | 0.529958 |
| Current cigarette smoking | 0.584275 |
| evidence-based cessation treatments | 0.525301 |
| National Health Interview | 0.480259 |
| tobacco cessation treatments | 0.571127 |
| direct health care | 0.48725 |
| insurance coverage | 0.624099 |
| private health insurance | 0.575354 |
| Health Insurance Program | 0.552969 |
| higher smoking prevalence | 0.693803 |
| tobacco cessation | 0.654779 |
| tobacco control programs | 0.625586 |
| smoking status | 0.603039 |
| tobacco cessation treatment | 0.483871 |
| private insurance | 0.567925 |
| current smoking | 0.516274 |
| health insurance coverage | 0.593902 |
| tobacco cessation coverage | 0.502524 |
| American Indian/Alaska Natives | 0.569599 |
| comprehensive tobacco control | 0.52108 |
| U.S. health care | 0.468782 |
|
| U.S. Census region | 0.551358 |
| health insurance types | 0.482198 |
| persons | 0.606392 |
| comprehensive private insurance | 0.460694 |
| smoking cessation | 0.489022 |
| self-reported smoking status | 0.512002 |
| cigarettes | 0.472851 |
| higher smoking estimates | 0.517057 |
| cigarette smoking status | 0.567843 |
| smoking prevalence | 0.83891 |
| government-sponsored health plan | 0.535841 |
| Education Development certificate | 0.556537 |
| tobacco price increases | 0.47683 |
| cigarette smoking | 0.909384 |
| health care | 0.549976 |
| noncigarette tobacco products | 0.457383 |
| General Education Development | 0.562069 |
| U.S. adults | 0.617761 |
| daily smokers | 0.587617 |
| cigarette smoking prevalence | 0.679343 |
| cigarette smokers | 0.707017 |
| Medicaid coverage | 0.458405 |
| higher smoking prevalences | 0.540635 |
| daily cigarette smokers | 0.550163 |
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Centers for Disease Control and Prevention |
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Kinds of Botulism | Botulism |
human botulism, Clostridium botulinum, C botulinum, CB toxin, botulinum toxin, neuroparalysis, neurotoxin, food-borne botulism, FBB, wound botulism, WB |
| medical emergencies | 0.394519 |
| bacteria | 0.388284 |
| gut | 0.324073 |
| cosmetic reasons | 0.396844 |
| emergency room | 0.399555 |
| medical reasons | 0.392167 |
| foodborne botulism | 0.7978 |
| wrinkles | 0.324572 |
| main kinds | 0.424018 |
| adult intestinal toxemia | 0.645069 |
| Iatrogenic botulism | 0.629063 |
| motorcycle accident | 0.405667 |
| homemade foods | 0.406982 |
| health conditions | 0.399597 |
|
| botulinum toxin | 0.717065 |
| Common sources | 0.412788 |
| greater chance | 0.408791 |
| migraine headaches | 0.403537 |
| drugs | 0.320699 |
| Infant botulism | 0.650273 |
| wound botulism | 0.673972 |
| traumatic injury | 0.409114 |
| people | 0.385382 |
| store-bought foods | 0.413802 |
| symptoms | 0.337147 |
| rare kind | 0.401812 |
| spores | 0.445214 |
| botulism | 0.94507 |
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