| 5908 |
Centers for Disease Control and Prevention |
Html |
en |
o-Terphenyl - 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 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 6080 |
Centers for Disease Control and Prevention |
Html |
en |
Ethyl benzene - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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CLICK HERE |
| 8206 |
Centers for Disease Control and Prevention |
Html |
en |
Sickle Cell Disease, Home - NCBDDD |
The Centers for Disease Control and Prevention (CDC) is working toward developing a comprehensive public health agenda to promote and improve the health of people with blood disorders. |
| red blood cells | 0.398661 |
| blood cell disorders | 0.407543 |
| blood disorders | 0.347955 |
| evidence-based information | 0.350673 |
| Describing Patterns | 0.35997 |
| CDC | 0.32667 |
| collaborations | 0.309957 |
| Awareness | 0.308429 |
| Cell Disease Association | 0.400179 |
| Sickle Cell Trait | 0.498369 |
| new research | 0.348787 |
| sickle cell disease | 0.910629 |
| Collection Program Data | 0.40949 |
| C-shaped farm tool | 0.399596 |
| partnerships | 0.308702 |
| ASH | 0.309302 |
| Key Findings | 0.420542 |
| red blood | 0.401205 |
| American Society | 0.349488 |
|
| Toolkit | 0.308196 |
| Californians | 0.315133 |
| Cell Disease Education | 0.406099 |
| group | 0.308951 |
| Emergency Department Visits | 0.410851 |
| Sickle Cell Data | 0.537521 |
| innovative approaches | 0.348429 |
| Hematology | 0.310691 |
| lives | 0.308718 |
| Cell Disease Deaths | 0.422711 |
| California | 0.309548 |
| people | 0.314836 |
| interventions | 0.310439 |
| SCD | 0.368549 |
| series | 0.314549 |
| activities | 0.308692 |
| Useful | 0.309726 |
| Georgia | 0.309538 |
|
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| 8562 |
Centers for Disease Control and Prevention |
Html |
en |
PanFlu Storybook - 1957 Flu Pandemic, Robert W. McKinney |
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. |
| embryonate chicken eggs | 0.802341 |
| viral diagnostic services | 0.850115 |
| CDC | 0.267858 |
| Chief | 0.261206 |
| FM1 | 0.316062 |
| convalescent sample | 0.532212 |
| pairs | 0.35667 |
| isolate | 0.288091 |
| Baker | 0.464312 |
| Storyteller | 0.280867 |
| Ph | 0.282414 |
| Alaska | 0.258963 |
| recollection | 0.285514 |
| Immunology Division | 0.550015 |
| Army Medical Laboratory | 0.829447 |
| area | 0.259047 |
| Robert W. McKinney | 0.926499 |
|
| Hawaii | 0.258907 |
| specimens | 0.331457 |
| California | 0.328019 |
| Air | 0.259215 |
| antigens | 0.403623 |
| onset | 0.277047 |
| Lee | 0.257436 |
| Ft | 0.36123 |
| Type | 0.311537 |
| Navy | 0.262908 |
| pandemic strain | 0.940337 |
| PR8 | 0.257798 |
| restriction | 0.282152 |
| time | 0.258328 |
| influenza diagnosis | 0.556663 |
| hemagglutination–inhibition test procedure | 0.826178 |
| acute sample | 0.503199 |
|
CLICK HERE |
| 8623 |
Centers for Disease Control and Prevention |
Html |
en |
PanFlu Storybook - In Memorial, Leta Bauer Lee and Emma Triphan Buechel |
In Memorial, To date, October 1918 remains the deadliest month in U.S. history when approximately 200,000 Americans died of the flu. Healthy, young adults (average age 35 years) began coughing in the morning and were dead by the evening. The family stories described in this section define true courage amid unbearable loss. |
| grandmothers | 0.219621 |
| Christine A. Maurer | 0.901365 |
| influenza pandemic | 0.554766 |
| Leta Bauer Lee | 0.830293 |
| Emma Triphan Buechel | 0.905909 |
| immediate family | 0.430465 |
| Virginia Lee Rammer | 0.776527 |
|
| Ida Buechel Klug | 0.933244 |
| Sheboygan County | 0.515481 |
| young age | 0.470778 |
| maternal grandmother | 0.625046 |
| Little Virginia | 0.428178 |
| paternal grandmother | 0.630566 |
|
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| 9536 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Emergency Medical Services Capacity for Prehospital Stroke Care in North Carolina - CDC |
Prior assessments of emergency medical services (EMS) stroke capacity found deficiencies in education and training, use of protocols and screening tools, and planning for the transport of patients. A 2001 survey of North Carolina EMS providers found many EMS systems lacked basic stroke services. |
| North Carolina | 0.970429 |
| stroke scale | 0.510061 |
| basic stroke | 0.481737 |
| EMS personnel | 0.519306 |
| screening tools | 0.487451 |
| stroke screening tools | 0.458386 |
| stroke signs | 0.42205 |
| stroke screen results | 0.435105 |
| stroke centers | 0.433593 |
| North Carolina EMS | 0.466903 |
| stroke educational topics | 0.534156 |
| Cincinnati Prehospital Stroke | 0.464691 |
| stroke care capacity | 0.569505 |
| validated stroke scale | 0.479513 |
| Angeles Prehospital Stroke | 0.45182 |
| prehospital stroke screening | 0.449844 |
| validated stroke | 0.562877 |
| Carolina EMS providers | 0.434458 |
| stroke capacity | 0.433962 |
| Prehospital Stroke Scale | 0.430217 |
| care capacity | 0.59936 |
| EMS stroke care | 0.582972 |
| EMS agencies | 0.493346 |
| stroke risk factors | 0.443334 |
| stroke care performance | 0.424726 |
|
| EMS systems | 0.83105 |
| Carolina EMS Data | 0.426711 |
| standardized EMS stroke | 0.507328 |
| county population density | 0.524949 |
| stroke care practices | 0.500268 |
| basic stroke services | 0.43897 |
| patient volume | 0.481541 |
| stroke patients | 0.510828 |
| county-based EMS systems | 0.430932 |
| prehospital stroke care | 0.56465 |
| maximum stroke care | 0.435907 |
| stroke patient care | 0.437068 |
| stroke training sessions | 0.476625 |
| EMS education | 0.424855 |
| emergency medical services | 0.465818 |
| stroke care | 0.655211 |
| prehospital stroke | 0.581598 |
| stroke training | 0.502783 |
| acute stroke patients | 0.465814 |
| validated stroke scales | 0.483912 |
| high stroke care | 0.423279 |
| stroke | 0.722786 |
| validated stroke screening | 0.463919 |
| Prehospital Stroke Screen | 0.474514 |
|
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| 9836 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Research Confirms Benefits of Flu Antiviral Drugs, Even Beyond 2 Days After Symptoms Start |
New research confirms benefits of the flu antiviral medication oseltamivir in treating children with uncomplicated flu illness and shows that treatment can be beneficial even beyond the 2-day window - CDC |
| study | 0.396023 |
| antiviral medication oseltamivir | 0.574738 |
| overall flu symptoms | 0.511699 |
| flu antiviral drug | 0.615804 |
| influenza antiviral drugs | 0.536854 |
| symptom onset | 0.423014 |
| urban setting | 0.4033 |
| CDC authors | 0.367968 |
| flu vaccine | 0.509114 |
| flu complications | 0.503574 |
| flu antiviral studies | 0.604192 |
| oseltamivir treatment | 0.446365 |
| influenza illness duration | 0.45436 |
| Infectious Diseases study | 0.393534 |
| flu treatment | 0.462864 |
| generic flu | 0.450446 |
| two-day window | 0.359942 |
| virus detection | 0.357633 |
| children | 0.366528 |
| Lancet Infectious Diseases | 0.604963 |
| CDC website | 0.356213 |
| New research | 0.358547 |
| antiviral drug oseltamivir | 0.555 |
|
| current package insert | 0.399335 |
| daily household visits | 0.395618 |
| clinical trial | 0.356096 |
| flu illness onset | 0.552539 |
| new study | 0.361619 |
| uncomplicated flu illness | 0.578534 |
| laboratory-confirmed influenza infection | 0.434067 |
| antiviral drugs | 0.966738 |
| flu illness | 0.707952 |
| virus shedding | 0.371124 |
| uncomplicated influenza | 0.384397 |
| influenza complications | 0.383294 |
| package insert | 0.415717 |
| live virus | 0.404563 |
| placebo-controlled study | 0.365508 |
| neuraminidase inhibitor | 0.355536 |
| greatest clinical benefit | 0.384059 |
| viral shedding | 0.369238 |
| influenza antiviral treatment | 0.562633 |
| flu season | 0.463553 |
| ) symptoms. | 0.669463 |
| illness onset | 0.571258 |
| significant reduction | 0.355006 |
|
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| 12538 |
Centers for Disease Control and Prevention |
Video |
en |
CDC: Tips From Former Smokers -- Shawn's Ad |
Shawn was 14 years old when he started smoking. He was in his midforties when a chronic cough and laryngitis turned out to be throat cancer. He finally quit smoking—but doctors were unable to save his larynx. He now has a stoma (opening) that allows him to breathe and a laryngeal implant that allows him to speak. In this TV ad from CDC's Tips From Former Smokers campaign, Shawn describes how life's ordinary tasks are more challenging with a stoma.
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=4186c97bd032d0dc9612fec4c6707e4420140620143822468 |
| Shawn | 0.852758 |
| Smokers | 0.932887 |
|
| CDC | 0.92604 |
| YouTube | 0.871802 |
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| 13426 |
Centers for Disease Control and Prevention |
Html |
en |
Treatment | Lyme Disease | CDC |
Information on Lyme disease. Provided by the U.S. Centers for Disease Control and Prevention. |
| penicillin | 0.253433 |
| chronic Lyme disease | 0.834994 |
| early stages | 0.401248 |
| NIH Lyme Disease | 0.698933 |
| intravenous treatment | 0.398322 |
| small percentage | 0.385802 |
| doxycycline | 0.263378 |
| Guidelines | 0.229787 |
| oral treatment | 0.386733 |
| detailed recommendations | 0.377488 |
| lyme disease | 0.959852 |
| cardiac forms | 0.388894 |
| America | 0.229604 |
| cefuroxime axetil | 0.420361 |
| PTLDS | 0.228086 |
|
| details | 0.228064 |
| Infectious Diseases Society | 0.52686 |
| Post-treatment Lyme Disease | 0.685517 |
| National Institutes | 0.367744 |
| illness | 0.233106 |
| appropriate antibiotics | 0.480817 |
| cases | 0.229406 |
| drugs | 0.232562 |
| web site | 0.363259 |
| patients | 0.291768 |
| Syndrome | 0.228158 |
| symptoms | 0.229351 |
| ceftriaxone | 0.230415 |
| condition | 0.228318 |
| mouth | 0.234167 |
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| 13488 |
Centers for Disease Control and Prevention |
Html |
en |
Surveillance for Waterborne Disease Outbreaks Associatedwith Drinking Water - United States, 2011-2012 |
Karlyn D. Beer, PhD1,2; Julia W. Gargano, PhD2; Virginia A. |
| untreated groundwater | 0.538331 |
| frequently reported outbreak | 0.50456 |
| Legionella pneumophila serogroup | 0.490967 |
| building plumbing systems | 0.529517 |
| CDC Waterborne Disease | 0.490344 |
| untreated surface water | 0.497738 |
| public health challenges | 0.506158 |
| Zoonotic Infectious Diseases | 0.486189 |
| public drinking water | 0.528619 |
| frequently reported etiology | 0.48304 |
| drinking water outbreaks | 0.662108 |
| noncommunity outbreaks | 0.570898 |
| waterborne disease outbreak | 0.506187 |
| individual water systems | 0.521742 |
| septic systems | 0.49425 |
| water treatment processes | 0.490857 |
| commonly reported illness | 0.491415 |
| private wells | 0.509494 |
| health care facilities | 0.55107 |
| Ground Water Rule | 0.529202 |
| non-Legionella bacteria | 0.571371 |
| drinking water–associated¶ waterborne | 0.515897 |
| drinking water–associated outbreaks | 0.743662 |
| outbreaks | 0.913564 |
| Environmental Protection Agency | 0.500768 |
|
| point-of-entry water filters | 0.486074 |
| Legionella outbreak | 0.478638 |
| bottled water | 0.485496 |
| previously unreported outbreaks | 0.594759 |
| waterborne disease outbreaks | 0.675714 |
| outbreak-associated cases | 0.52567 |
| surface water sources | 0.496989 |
| noncommunity groundwater systems | 0.501704 |
| public water systems | 0.546468 |
| public health | 0.588169 |
| community water systems††| 0.497477 |
| noncommunity systems | 0.484264 |
| noncommunity water systems | 0.756071 |
| water outbreak-associated cases | 0.506751 |
| cases | 0.532749 |
| Legionella outbreaks | 0.640587 |
| outbreak surveillance | 0.493458 |
| drinking water systems | 0.709746 |
| septic systems malfunction | 0.478912 |
| single-etiology outbreaks | 0.578828 |
| National Outbreak Reporting | 0.481194 |
| source water monitoring | 0.491801 |
| community water systems | 0.540074 |
| water systems | 0.895741 |
|
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