| 4507 |
Centers for Disease Control and Prevention |
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Recommendations for the Amount of Time Persons with Influenza-Like Illness Should be Away from Others |
null |
| Reye syndrome | 0.383649 |
| metabolic disorders | 0.378847 |
| symptom onset | 0.391212 |
| state health officials | 0.44462 |
| high numbers | 0.3811 |
| children | 0.386934 |
| pregnant women | 0.378712 |
| previous recommendation | 0.389402 |
| ill persons | 0.466337 |
| chronic-care facilities | 0.379303 |
| influenza illness | 0.493772 |
| increased risk | 0.389615 |
| health care setting | 0.45651 |
| community level | 0.382583 |
| potential benefits | 0.383051 |
| influenza-like illness return | 0.453659 |
| good respiratory etiquette | 0.532286 |
| health care settings | 0.461507 |
| High-risk groups | 0.383584 |
| influenza virus | 0.968126 |
| high-risk people | 0.399606 |
| hand hygiene | 0.426956 |
| illness onset | 0.425246 |
| nursing homes | 0.379346 |
| H1N1 influenza virus | 0.674367 |
|
| antiviral medications | 0.582538 |
| Sick individuals | 0.44994 |
| fever | 0.435906 |
| epidemiologic data | 0.559147 |
| child care facility | 0.447009 |
| new recommendation | 0.38871 |
| infection control | 0.38482 |
| influenza-like illness | 0.516505 |
| respiratory symptoms | 0.378202 |
| exclusion period | 0.774674 |
| influenza virus infection | 0.557254 |
| stringent guidelines | 0.381461 |
| overall risk | 0.379491 |
| social disruption | 0.383442 |
| longer periods | 0.454303 |
| mass gatherings | 0.387749 |
| people | 0.534459 |
| medical care | 0.375895 |
| influenza complications | 0.562185 |
| antiviral treatment | 0.401291 |
| community settings | 0.506442 |
| complete resolution | 0.379521 |
| influenza viruses | 0.527585 |
| long-term aspirin therapy | 0.446323 |
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Centers for Disease Control and Prevention |
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Arizona Activities to Prevent HAIs |
null |
| MPEG | 0.246801 |
| funding | 0.562711 |
| prevention activities | 0.419355 |
| monthly update | 0.673036 |
| email address | 0.984628 |
| different file formats | 0.58366 |
| Affordable Care Act | 0.60816 |
| Epidemiology | 0.405595 |
| recent work | 0.65534 |
| HAI infrastructure | 0.434244 |
| Suite | 0.285691 |
|
| conduct surveillance | 0.422437 |
| N. 18th Avenue | 0.980751 |
| infectious disease | 0.706985 |
| PPT | 0.258385 |
| Laboratory Capacity | 0.921484 |
| Infectious Diseases | 0.93399 |
| DOC | 0.244834 |
| page | 0.294053 |
| ELC | 0.461531 |
| Arizona | 0.242704 |
|
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| 6557 |
Centers for Disease Control and Prevention |
Html |
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Nodding Syndrome - South Sudan, 2011 |
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. |
| CDC | 0.653431 |
| Maridi town | 0.6542 |
| syndrome patients | 0.65504 |
| suspected risk factors | 0.660769 |
| significant association | 0.658184 |
| neurologic findings | 0.659047 |
| clinical syndrome | 0.662636 |
| case-control study | 0.795494 |
| South Sudan Ministry | 0.793117 |
| syndrome cases | 0.653285 |
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| relevant laboratory investigations | 0.66084 |
| risk factors | 0.724061 |
| head nodding | 0.794183 |
| World Health Organization | 0.741418 |
| onchocerciasis | 0.672132 |
| geographic clustering | 0.65492 |
| South Sudan | 0.926452 |
| Western Equatoria | 0.655594 |
| patient age distribution | 0.699715 |
| case-control pairs | 0.659332 |
| possible risk factors | 0.654459 |
| international public health | 0.659533 |
|
| clinical presentation | 0.654767 |
| focal neurologic deficits | 0.664452 |
| natural history studies | 0.654885 |
| Nations Children | 0.655213 |
| Public Health Response | 0.662753 |
| descriptive case series | 0.665733 |
| case series | 0.724294 |
| Witto village | 0.654224 |
| case-control study enrollment | 0.680652 |
| potential neighbor controls | 0.658424 |
| current onchocerciasis | 0.657253 |
| natural history | 0.684658 |
| case series study | 0.705109 |
| syndrome onset | 0.666043 |
| typical nodding episodes | 0.771984 |
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| syndrome | 0.777019 |
| affected children | 0.655108 |
| new seizure disorder | 0.653224 |
| skin snip | 0.660736 |
| syndrome reports | 0.657086 |
| unexplained neurologic condition | 0.675257 |
| clinical case series | 0.672634 |
| East African countries | 0.655064 |
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| 11235 |
Centers for Disease Control and Prevention |
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es |
Tasas de cáncer de pulmón por raza y grupo étnico |
Comparación de casos de cáncer de pulmón por raza y grupo étnico. |
| Archivo Apple Quicktime | 0.537514 |
| Archivo RealPlayer | 0.498751 |
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| Archivo Adobe PDF | 0.538885 |
| Estados Unidos | 0.915347 |
|
| Archivo Microsoft | 0.742901 |
| distintas razas | 0.509293 |
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| Archivo Texto | 0.489689 |
| potenciales diferencias | 0.630278 |
| Archivo Zip Comprimido | 0.536627 |
| razas blancos | 0.686121 |
| Archivo Microsoft Excel | 0.544474 |
|
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| 11855 |
Centers for Disease Control and Prevention |
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CDC Develops a New, Faster Lab Test for Enterovirus D68 | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| early release issue | 0.52979 |
| health education | 0.513726 |
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| Firestone Liberia Inc. | 0.751321 |
| family members | 0.511836 |
| Firestone District | 0.658716 |
| personal protective equipment | 0.607278 |
| Director Tom Frieden | 0.517841 |
| populated surrounding communities | 0.521341 |
| Firestone | 0.763081 |
| Ebola patients | 0.957885 |
| Firestone hospital | 0.597804 |
| social mobilization campaign | 0.508 |
| Ebola | 0.962576 |
| Ebola epidemic | 0.797866 |
| minimal supportive care | 0.514172 |
| waste disposal equipment | 0.506341 |
|
| Firestone Natural Rubber | 0.678668 |
| Firestone health facilities | 0.667228 |
| dedicated Ebola treatment | 0.738629 |
| standard Ebola infection | 0.752969 |
| Ebola cases | 0.723724 |
| robust risk communications | 0.505794 |
| Firestone response | 0.588667 |
| Firestone employee | 0.592825 |
| Margibi County | 0.524726 |
| lower incidence rate | 0.509391 |
| non-Ebola patients | 0.471502 |
| health services | 0.474873 |
| passive Ebola surveillance | 0.752477 |
| laboratory-confirmed Ebola | 0.730013 |
| rubber tree plantation | 0.519141 |
| Innovative measures | 0.469884 |
| meticulous attention | 0.468791 |
| effective health care | 0.554891 |
| current Ebola epidemic | 0.744276 |
| local health officials | 0.508972 |
| Bridgestone Americas | 0.46958 |
| Lofa County | 0.462164 |
| Ebola patient | 0.711784 |
| Ebola treatment units | 0.741525 |
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| 11997 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Using the Community ReadinessModel to Examine the Built and Social Environment: A Case Study ofthe High Point Neighborhood, Seattle, Washington, 2000-2010 -CDC |
Residents of many cities lack affordable, quality housing. Economically disadvantaged neighborhoods often have high rates of poverty and crime, few institutions that enhance the quality of its residents’ lives, and unsafe environments for walking and other physical activity. Deteriorating housing contributes to asthma-related illness. We describe the redevelopment of High Point, a West Seattle neighborhood, to improve its built environment, increase neighborhood physical activity, and reduce indoor asthma triggers. |
| Point’s Community | 0.372626 |
| West Seattle neighborhood | 0.369037 |
| High Point | 0.91071 |
| public health issues | 0.363943 |
| comprehensive redevelopment plan | 0.397424 |
| mental health | 0.376342 |
| new public housing | 0.365059 |
| High Point residents | 0.600762 |
| West Seattle | 0.425424 |
| public housing | 0.405011 |
| Breathe Easy Home | 0.399317 |
| redevelopment plan | 0.420251 |
| Point Community Council | 0.428943 |
| Breathe Easy Homes | 0.380572 |
| redeveloped High Point | 0.386645 |
| Seattle Health Department | 0.366033 |
| Breathe Easy | 0.420668 |
| public housing community | 0.38345 |
| High Point revitalization | 0.386708 |
| neighborhood physical activity | 0.365723 |
| High Point coalition | 0.39969 |
| Point redevelopment project | 0.382575 |
| Point redevelopment initiative | 0.414204 |
| High Point Neighbors | 0.390091 |
| Seattle community members | 0.375872 |
|
| public housing residents | 0.383129 |
| sustainable built environment | 0.374165 |
| Easy Home residents | 0.366196 |
| redevelopment planning process | 0.363967 |
| high point community | 0.500626 |
| Point’s redevelopment | 0.396772 |
| community members | 0.414932 |
| Community Health Program | 0.369311 |
| quality housing | 0.386791 |
| Seattle Housing Authority | 0.630774 |
| High Point project | 0.403548 |
| asthma triggers | 0.367977 |
| asthma-related illness | 0.377841 |
| community redevelopment | 0.377534 |
| community action teams | 0.397946 |
| Point neighborhood redevelopment | 0.396306 |
| public health | 0.386543 |
| High Point redevelopment | 0.532807 |
| Point redevelopment plan | 0.39062 |
| L. High Point | 0.381215 |
| health | 0.408342 |
| physical activity | 0.447706 |
| public housing units | 0.384583 |
| Housing Authority staff | 0.381049 |
|
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| 12547 |
Centers for Disease Control and Prevention |
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June 2014 ACIP Meeting – Welcome & Introductions |
Opening remarks for June 2014 The U.S. Advisory Committee of Immunization Practices meeting introduced by Dr. Larry Pickering and Dr. Jon Temte.
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=8a8b7806c5e1dc003becad56526d175820140728120822276 |
| ACIP Meeting | 0.982335 |
| Welcome | 0.329766 |
|
|
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| 13643 |
Centers for Disease Control and Prevention |
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Diabetes Programs & Initiatives |
This section provides information of CDC's diabetes research on diabetes prevention and control |
| new diabetes cases | 0.65462 |
| lifestyle change programs | 0.22608 |
| American Medical Association | 0.207653 |
| Funding Opportunity Announcement | 0.22532 |
| Vision Health Initiative | 0.267606 |
| Native Diabetes Wellness | 0.747989 |
| National Diabetes Prevention | 0.840164 |
| Chronic Disease Initiative | 0.232039 |
| multi-program cooperative agreements | 0.226953 |
| vulnerable populations | 0.262491 |
| local health departments | 0.272658 |
| high-impact prevention approach | 0.272189 |
| public health framework | 0.246161 |
|
| National Diabetes Education | 0.708497 |
| Underserved Areas | 0.243251 |
| Prevent Diabetes STAT | 0.686538 |
| Chronic Kidney Disease | 0.22276 |
| Appalachian Diabetes Control | 0.528031 |
| Diabetes Education Program | 0.708372 |
| Diabetes Prevention Program | 0.840019 |
| Diabetes Wellness Program | 0.751933 |
| public health strategies | 0.264321 |
| health care organizations | 0.273996 |
| diabetes | 0.935289 |
| Diabetes Translation | 0.733207 |
|
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Counterfeit Norco Poisoning Outbreak - San Francisco BayArea, California, March 25-April 5, 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| health care provider | 0.539093 |
| fentanyl-containing products | 0.537499 |
| counterfeit Norco ingestion | 0.663486 |
| Health Department | 0.540229 |
| law enforcement officials | 0.628185 |
| California Poison Control | 0.667078 |
| fentanyl | 0.718174 |
| local poison centers | 0.543354 |
| Center emergency department | 0.535589 |
| Health care providers | 0.563916 |
| detectable acetaminophen levels | 0.566657 |
| opioid receptor agonist | 0.647441 |
| Department public health | 0.587188 |
| illicitly produced product | 0.552889 |
| blood oxygen saturation | 0.729274 |
| Sacramento County | 0.56381 |
| counterfeit tablets | 0.700737 |
| prescription opioid pain | 0.618841 |
| chronic opioid users | 0.607675 |
| urine drug screen | 0.636575 |
| fentanyl-contaminated counterfeit Norco | 0.618824 |
| public health practice | 0.581343 |
| Bay Area | 0.592813 |
| San Francisco Division | 0.93452 |
| illicitly produced fentanyl | 0.643513 |
|
| CPCS San Francisco | 0.630021 |
| opioid receptors | 0.557978 |
| respiratory depression | 0.670605 |
| Contra Costa County | 0.636219 |
| illicitly purchased drug | 0.559573 |
| 0.4-mg dose | 0.578539 |
| poison control | 0.697793 |
| public health threat | 0.65887 |
| serum fentanyl levels | 0.640282 |
| fentanyl-adulterated counterfeit Xanax | 0.565382 |
| Sacramento County Division | 0.540779 |
| fentanyl compounds | 0.566662 |
| major public health | 0.580982 |
| promethazine | 0.591009 |
| health departments | 0.54208 |
| public health | 0.782772 |
| California State Health | 0.575721 |
| opioid analgesics | 0.545073 |
| opioid effect | 0.57542 |
| opioid intoxication | 0.575576 |
| opioid epidemic | 0.575132 |
| Drug Overdose Health | 0.579045 |
| Norco tablets | 0.571985 |
| Acetaminophen level | 0.569784 |
|
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Protect Nursing Home Residents by Improving Antibiotic Stewardship in Nursing Homes | Safe Healthcare Blog | Blogs |
CDC - Blogs - Safe Healthcare Blog – Protect Nursing Home Residents by Improving Antibiotic Stewardship in Nursing HomesSafe Healthcare Blog - The Division of Healthcare Quality Promotion plans to blog on as many healthcare safety topics as possible. We encourage your participation in our discussion and look forward to an active exchange of ideas. |
| CDC | 0.53669 |
| nursing homes implement | 0.57982 |
| large number | 0.500384 |
| companion checklist | 0.489417 |
| wrong reason | 0.503235 |
| core elements | 0.720474 |
| new strategies | 0.491224 |
| ongoing implementation | 0.48648 |
| healthcare | 0.419383 |
| allergic reactions | 0.500345 |
| duration | 0.420779 |
| antibiotic misuse | 0.625313 |
| wrong drug | 0.503397 |
| drug-drug interactions | 0.496685 |
| regular basis | 0.487416 |
| antibiotic resistance | 0.714412 |
| antibiotic stewardship activities | 0.696902 |
| step-wise approach | 0.501342 |
| nursing home efforts | 0.576226 |
| MD | 0.419573 |
| medications | 0.418047 |
|
| infections | 0.417864 |
| course | 0.418047 |
| practical ways | 0.491161 |
| guide | 0.417247 |
| clinical care | 0.489782 |
| Clostridium difficile | 0.509972 |
| patients | 0.419348 |
| antibiotic stewardship | 0.760493 |
| decrease antibiotic resistance | 0.680954 |
| Nimalie Stone | 0.510112 |
| dose | 0.420519 |
| basic elements | 0.49547 |
| residents | 0.455234 |
| Author | 0.419608 |
| threat | 0.419586 |
| time | 0.416305 |
| nursing home partners | 0.560579 |
| antibiotics | 0.518467 |
| unnecessary risk | 0.501768 |
| nursing homes | 0.90118 |
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