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Influenza Antivirals Adverse Events |
When considering use of influenza antiviral medications, clinicians must consider many factors such as age, weight, renal function, other medical conditions, indications for use, and potential for interaction with other medication - CDC |
| immunologic response | 0.445833 |
| Limited data | 0.379014 |
| clinical treatment trials | 0.434607 |
| inhaled lactose vehicle | 0.50086 |
| Allergic reactions | 0.37092 |
| inhaled zanamivir | 0.730162 |
| age-related safety concerns | 0.41746 |
| oseltamivir treatment | 0.469136 |
| moderate asthma | 0.371712 |
| oral oseltamivir | 0.916084 |
| medically important conditions | 0.413859 |
| throat infections | 0.369549 |
| facial edema | 0.371908 |
| limited number | 0.369229 |
| influenza antiviral medications | 0.48287 |
| antiviral drug | 0.390228 |
| respiratory disease | 0.38112 |
| Transient neuropsychiatric events | 0.433176 |
| Limited safety data | 0.417744 |
| vomiting | 0.414161 |
| zanamivir treatment | 0.473108 |
| influenza vaccines | 0.382864 |
| pulmonary disease | 0.448269 |
|
| seasonal influenza | 0.379015 |
| phase-I study | 0.373908 |
| placebo recipients | 0.379269 |
| cardiac disease | 0.378322 |
| adverse events | 0.74549 |
| careful attention | 0.417717 |
| nasal signs | 0.372331 |
| uncomplicated influenza | 0.393134 |
| self-reported nausea | 0.396853 |
| nausea | 0.415611 |
| persons | 0.47652 |
| powdered lactose vehicle | 0.445891 |
| Health care professionals | 0.414427 |
| acute influenza | 0.39807 |
| common adverse events | 0.46272 |
| medical conditions | 0.377883 |
| public health responses | 0.421621 |
| study medication | 0.375415 |
| forced expiratory volume | 0.444788 |
| renal function | 0.379065 |
| clinical treatment studies | 0.546088 |
| oseltamivir chemoprophylaxis | 0.468669 |
| respiratory function deterioration | 0.436357 |
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Portland cement - NIOSH Pocket Guide to Chemical Hazards |
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| 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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CDC study shows suicidal thoughts and behavior vary among U.S. adults - Press Release: October 20, 2011 |
CDC study shows suicidal thoughts and behavior vary among U.S. adults |
| United States. | 0.568387 |
| suicide-related thoughts | 0.566402 |
| public health policies | 0.615262 |
| evidence-based prevention interventions | 0.621066 |
| Disease Control | 0.573314 |
| visit http://www2.sprc.org/bpr/section-i-evidence-based-programs | 0.562654 |
| suicide planning | 0.737837 |
| suicide attempt | 0.749254 |
| risk factors | 0.560832 |
| Injury Prevention | 0.570398 |
| suicide | 0.976116 |
| current report | 0.566279 |
| suicidal behavior | 0.576805 |
| National Suicide Prevention | 0.817042 |
| adverse health consequences. | 0.611807 |
| new data | 0.566496 |
| young adults | 0.57799 |
| Linda C. Degutis | 0.610298 |
| prevention strategies | 0.604765 |
| nonfatal behavior | 0.566799 |
| prevention purposes | 0.567587 |
| suicide attempts.In | 0.719495 |
| United States | 0.573966 |
| adults | 0.618969 |
| CDC′s National Center | 0.613423 |
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| National Survey | 0.568484 |
| Substance Abuse | 0.564633 |
| suicide risk | 0.723243 |
| percent | 0.657918 |
| public education campaigns | 0.60679 |
| Suicide Prevention Lifeline | 0.822192 |
| suicide visit Reporting | 0.776022 |
| Rocky Mountain states | 0.613467 |
| Rhode Island | 0.699353 |
| Thomas M. Frieden | 0.628281 |
| Possible suicide prevention | 0.780516 |
| Suicide rates | 0.734675 |
| Prevention Lifeline Web | 0.617856 |
| suicide range | 0.771682 |
| SAMHSA Administrator Pam | 0.626587 |
| cognitive-behavioral therapy | 0.608113 |
| suicide plans | 0.795911 |
| people | 0.561088 |
| suicidal thoughts | 0.70351 |
| public health problem | 0.627846 |
| Mental Health Services | 0.627165 |
| preventable tragedy | 0.567694 |
| Western states | 0.563609 |
| suicide attempts | 0.808586 |
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Benefits of a primary care clinic co-located and integrated in a mental health setting for veterans with serious mental illness. |
Efficacy trials have shown that primary care co-located in the mental health setting improves the receipt of high-quality medical care among people with serious mental illness. |
| coronary artery disease | 0.504052 |
| limited primary care | 0.481817 |
| co-located primary care | 0.503085 |
| mental health | 0.827029 |
| emergency department visits | 0.541213 |
| mental health visit | 0.539401 |
| outpatient mental health | 0.47584 |
| primary care providers | 0.476977 |
| community mental health | 0.46591 |
| CVD risk | 0.511391 |
| successive 6-month periods | 0.535618 |
| primary care program | 0.46802 |
| logistic regression | 0.513661 |
| mental health visits | 0.49094 |
| usual primary care | 0.487058 |
| blood pressure | 0.586953 |
| mental illness | 0.530137 |
| primary care services | 0.490444 |
| body mass index | 0.485676 |
| patients | 0.500101 |
| mental health outpatient | 0.482983 |
| repeated-measures logistic regression | 0.4766 |
| goal attainment | 0.531778 |
| primary care provider | 0.494336 |
| primary care visit | 0.537292 |
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| VA primary care | 0.476518 |
| quality primary care | 0.467811 |
| observation window | 0.498376 |
| VA service connection | 0.496173 |
| high-quality medical care | 0.488507 |
| observation windows | 0.466 |
| VA Medical Center | 0.550267 |
| mental health setting | 0.566978 |
| mental health providers | 0.501253 |
| primary care visits | 0.653772 |
| single primary care | 0.474573 |
| mental health service | 0.490171 |
| Providence VA Medical | 0.54633 |
| Charlson-Deyo comorbidity index | 0.507082 |
| Rhode Island | 0.472906 |
| primary care access | 0.475973 |
| mental health centers | 0.465908 |
| Mental Illness Primary | 0.482478 |
| Illness Primary Care | 0.491814 |
| medical care | 0.50104 |
| enrollment | 0.542603 |
| goal blood pressure | 0.47754 |
| primary care | 0.968819 |
| primary care clinic | 0.624355 |
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MMWR News Synopsis: August 2, 2012 |
CDC Media Relations - MMWR News Synopsis: July 19, 2012 |
| prevention activities | 0.345794 |
| tax increases | 0.375863 |
| safe transport | 0.341341 |
| TB contact investigations | 0.582758 |
| central nervous systems | 0.444672 |
| elevated blood lead | 0.459491 |
| Nigerian folk remedy | 0.452812 |
| lead-containing foreign products. | 0.462372 |
| roll-your-own cigarettes | 0.364215 |
| youth initiation | 0.350466 |
| possible intervention | 0.337057 |
| refugee children | 0.343323 |
| tobacco products | 0.722532 |
| TB patients | 0.471302 |
| blood lead testing | 0.620532 |
| lead poisoning | 0.34601 |
| long decline | 0.387283 |
| Effective collaboration | 0.337872 |
| public health impact | 0.4947 |
| federal isolation orders | 0.452178 |
| greater gut absorption | 0.450749 |
| state lines | 0.340719 |
| total consumption | 0.690326 |
| year. Sharp increases | 0.503523 |
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| less-regulated alternative products | 0.488456 |
| cost-benefit ratio | 0.345334 |
| Young children | 0.341187 |
| non-cigarette smoked tobacco | 0.589452 |
| CDC
Division | 0.531024 |
| CDC quarantine stations | 0.938232 |
| total cigarette consumption | 0.771985 |
| Nigerian parents | 0.338719 |
| national coordination | 0.338869 |
| 11-year downward trend | 0.504147 |
| public health | 0.764564 |
| CDC’s mission | 0.488791 |
| Electronic Media | 0.644847 |
| public health workers | 0.457606 |
| TB clinics | 0.469488 |
| uniform regulation | 0.340009 |
| local public health | 0.48255 |
| Adult consumption | 0.473862 |
| cigarette-like cigars | 0.352501 |
| overall consumption | 0.483687 |
| percent decline | 0.402297 |
| infectious disease | 0.341204 |
| noninfectious TB conditions | 0.602882 |
| public health responses | 0.47635 |
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Preventing Chronic Disease - CDC: Volume 10, 2013: 12_0107 |
Volumen 10 — el 30 de mayo de 2013. |
| salud pública | 0.950834 |
| complejo uso | 0.374389 |
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| programa adapta herramientas | 0.437408 |
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Study of Flu Related Deaths in Children Shows Even Healthy Children at Risk |
This CDC spotlight article summarizes key findings and public health recommmendations related to a CDC study on flu-related deaths in children. |
| seasonal flu vaccination | 0.76324 |
| overall message | 0.519011 |
| CDC study | 0.563692 |
| H1N1 pandemic virus | 0.618396 |
| children | 0.988986 |
| tragic impact | 0.544754 |
| U.S. children | 0.563371 |
| flu vaccination | 0.773862 |
| high risk condition | 0.608467 |
| healthy children | 0.808154 |
| CDC’s recommendation | 0.549055 |
| results | 0.449929 |
| addition | 0.448149 |
| journal Pediatrics | 0.544392 |
| flu illness | 0.637632 |
| flu antiviral drugs | 0.746808 |
| study period | 0.530841 |
| prompt medical care | 0.61847 |
| emergency department | 0.525737 |
| bacterial co-infections | 0.633276 |
| medical conditions | 0.515793 |
| high risk | 0.690846 |
| parents | 0.441456 |
| flu symptoms | 0.633675 |
| hospital admission | 0.517261 |
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| study | 0.574656 |
| 2011-2012 seasons | 0.509361 |
| United States | 0.65236 |
| Staph infections | 0.520814 |
| Pediatrics website | 0.517412 |
| flu-related deaths | 0.767142 |
| flu complications | 0.643157 |
| CDC’s recommendations | 0.528214 |
| course | 0.425469 |
| one-third | 0.437433 |
| high-risk condition | 0.523451 |
| flu seasons | 0.670965 |
| underlying health conditions | 0.63648 |
| adherence | 0.424691 |
| flu disease | 0.680041 |
| flu | 0.919586 |
| home | 0.422808 |
| risk medical condition | 0.599435 |
| antiviral treatment | 0.615114 |
| Influenza-Associated Pediatric Deaths | 0.915783 |
| fewest deaths | 0.59817 |
| Nearly half | 0.510068 |
| 2011-12 season | 0.515358 |
| severe illness | 0.513892 |
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Initiation of a Ring Approach to Infection Prevention andControl at Non-Ebola Health Care Facilities - Liberia,January-February 2015 |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| IPC support | 0.662048 |
| county health | 0.546972 |
| IPC needs | 0.585073 |
| Ebola treatment unit | 0.735907 |
| Ring IPC activities | 0.588358 |
| prior Ebola exposure | 0.555356 |
| IPC capacity | 0.549656 |
| nongovernmental organization partners | 0.562511 |
| IPC training | 0.648461 |
| Ebola virus transmission | 0.580097 |
| Ring IPC efforts | 0.627842 |
| Ring IPC intervention | 0.596714 |
| Ebola virus | 0.590287 |
| Ring IPC | 0.992096 |
| national IPC Task | 0.673796 |
| IPC planning | 0.55271 |
| African Union | 0.546165 |
| probable Ebola patients | 0.613458 |
| IPC specialists | 0.551929 |
| health care workers | 0.787354 |
| active Ebola transmission | 0.606988 |
| IPC staff members | 0.575893 |
| MOHSW-approved IPC training | 0.590227 |
| health care | 0.883008 |
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| health care worker | 0.738363 |
| IPC Task Force | 0.854251 |
| personal protective equipment | 0.764005 |
| target HCFs | 0.578941 |
| short-term IPC support | 0.613371 |
| Liberia IPC Task | 0.607448 |
| IPC guidance | 0.550806 |
| IPC rings | 0.554827 |
| intensive IPC approach | 0.583312 |
| national IPC strategy | 0.642439 |
| intensive IPC support | 0.590615 |
| essential IPC | 0.581229 |
| rapid IPC assessments | 0.564307 |
| Ring IPC approach | 0.864223 |
| IPC activities | 0.618009 |
| Ebola patient | 0.656042 |
| intensified IPC attention | 0.581764 |
| Ring IPC partners | 0.59811 |
| Ebola patients | 0.652851 |
| rapid IPC needs | 0.581968 |
| essential IPC supplies | 0.575154 |
| general IPC training | 0.591202 |
| essential IPC practices | 0.567648 |
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First-of-its-Kind PSA Campaign Targets the 86 Million American Adults with Prediabetes | CDC Online Newsroom |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| normal blood glucose | 0.257882 |
| radio PSAs | 0.200168 |
| people’s naivety | 0.204738 |
| American Medical Association | 0.68532 |
| Mather New York | 0.294068 |
| necessary lifestyle changes | 0.382957 |
| type | 0.220938 |
| National Diabetes Prevention | 0.412053 |
| risk test | 0.296542 |
| American public | 0.203056 |
| Disease Control | 0.262897 |
| Cannes Lions Network | 0.228088 |
| PSA campaign | 0.20514 |
| O&M services Fortune | 0.227721 |
| prediabetes tests | 0.211996 |
| health care providers | 0.256226 |
| U.S. health protection | 0.246794 |
| health care | 0.32672 |
| New York | 0.335973 |
| prevention program | 0.258039 |
| premier national organization | 0.23891 |
| health care communications | 0.249774 |
| saving lives | 0.239582 |
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| industry leading units | 0.231942 |
| prediabetes | 0.287542 |
| largest marketing communications | 0.238082 |
| pressing social issues | 0.231922 |
| Mather Advertising New | 0.27295 |
| tremendous positive change | 0.234006 |
| people | 0.313438 |
| public service campaigns | 0.236551 |
| lifestyle tips | 0.240503 |
| CDC’s Division | 0.203697 |
| Ad Council | 0.855107 |
| Diabetes Translation Research | 0.406851 |
| Ogilvy | 0.258074 |
| health condition | 0.207428 |
| Chief Creative Officer | 0.233009 |
| Humorous PSAs | 0.200572 |
| public service advertising | 0.277211 |
| American Diabetes Association | 0.926095 |
| first-of-its-kind communications techniques | 0.266649 |
| CDC Media Relations | 0.262725 |
| AMA President-Elect Andrew | 0.255575 |
| Association funds research | 0.265448 |
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Fall 2014: CDC's #VaxWithMe Social Media Campaign |
Fall 2014: CDC's #VaxWithMe Social Media Campaign |
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