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Centers for Disease Control and Prevention |
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How to Use Relenza (zanamivir) Step-by-Step |
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| CDC | 0.439688 |
| dark brown wheel | 0.608665 |
| DISKHALER level | 0.686545 |
| mouthpiece | 0.774174 |
| farther | 0.427322 |
| Parents | 0.424079 |
| silver foil | 0.501223 |
| blue cover | 0.529317 |
| plastic needle | 0.51426 |
| DISKHALER body | 0.523932 |
| federal government | 0.506497 |
| lungs | 0.447587 |
| entire leaflet | 0.505256 |
| links | 0.454509 |
| medicine disk | 0.961562 |
| Relenza DISKHALER device | 0.73286 |
| silver blisters | 0.525593 |
| individual organization Web | 0.592305 |
| white mouthpiece | 0.772539 |
| foreign objects | 0.62638 |
| Patients | 0.424085 |
| Relenza | 0.850704 |
| FLOVENT DISKHALER device | 0.604711 |
| persons | 0.4253 |
|
| outer edge | 0.51592 |
| silver medicine disk | 0.786932 |
| parts | 0.424444 |
| previous prescription | 0.505756 |
| white tray | 0.94122 |
| adult | 0.423901 |
| repeat Steps | 0.509336 |
| child | 0.423927 |
| small holes | 0.514404 |
| harm | 0.449428 |
| Breathe | 0.425312 |
| breath | 0.443242 |
| ridges | 0.459503 |
| half-circle flap | 0.538214 |
| new medicine disk | 0.612669 |
| underside | 0.425632 |
| non-federal organizations | 0.508236 |
| way | 0.467593 |
| pull-push motion | 0.509171 |
| inhalation | 0.454435 |
| lips | 0.42367 |
| healthcare provider | 0.636336 |
| fluticasone propionate | 0.520186 |
| entire Fact Sheet | 0.627649 |
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| 5404 |
Centers for Disease Control and Prevention |
Html |
en |
Risks to health among American Indian/Alaska Native high school students in the United States. |
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| data | 0.441954 |
| white students | 0.446001 |
| sports team | 0.368758 |
| separate prevalence estimates | 0.428801 |
| binge drinking | 0.3805 |
| AI/AN race category | 0.385407 |
| health risk behaviors | 0.681123 |
| significant difference | 0.407632 |
| moderate physical activity | 0.418264 |
| Alaska Native | 0.471346 |
| Risk Behavior Survey | 0.410097 |
| Disease Control | 0.45224 |
| Youth Risk Behavior | 0.439238 |
| black students | 0.42782 |
| vigorous physical activity | 0.454526 |
| overall response rates | 0.395133 |
| AI/AN high school | 0.548764 |
| racial/ethnic groups | 0.545727 |
| World Health Organization | 0.415301 |
| body mass index | 0.422461 |
| comparable risk behaviors | 0.369968 |
| health problems | 0.387104 |
| federally recognized AI/AN | 0.377987 |
| YRBS data | 0.416409 |
| private school students | 0.406179 |
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| 12th-grade students | 0.374295 |
| United States | 0.477325 |
| priority health risk | 0.378268 |
| AI/AN people | 0.373594 |
| prevalence estimates | 0.57231 |
| high blood glucose | 0.404864 |
| prevalence | 0.705015 |
| Hispanic students | 0.503172 |
| AI/AN boys | 0.463909 |
| national Youth Risk | 0.37701 |
| urban air pollution | 0.396342 |
| Prevention growth charts | 0.374353 |
| nationally representative sample | 0.385212 |
| Healthy People | 0.395381 |
| public health | 0.420692 |
| AI/AN students | 0.930531 |
| AI/AN adults | 0.382169 |
| high school students | 0.779496 |
| white high school | 0.420516 |
| physical activity | 0.46226 |
| AI/AN girls | 0.520103 |
| high blood pressure | 0.405819 |
| American Indian/Alaska Native | 0.438731 |
| AI/AN youth | 0.44117 |
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| 7902 |
Centers for Disease Control and Prevention |
Html |
en |
Media Relations - EID News Synopsis: January 2013 |
EID News Synopsis: January 2013 |
| better outbreak detection | 0.923491 |
| ready-to-eat meats | 0.859343 |
| CDC study | 0.843811 |
| 25-year trends | 0.713311 |
| Dr. Eric Delwart | 0.78406 |
| black children | 0.727801 |
| New food vehicles | 0.813345 |
| life-threatening foodborne disease | 0.827212 |
| overall rates | 0.70857 |
| Stanford University School | 0.797086 |
| CDC’s Listeria | 0.817921 |
| study period | 0.803982 |
| recent study | 0.729394 |
| dip ACVP | 0.709718 |
| CDC Media Relations | 0.893284 |
| decades. Raccoons | 0.726813 |
| soft tissue infections | 0.822243 |
| Listeria infection | 0.761497 |
| U.S. inpatients | 0.71124 |
| Klebsiella spp | 0.731902 |
| deli meats | 0.732048 |
| MRSA infections | 0.765268 |
| health care conditions | 0.820547 |
| Staphylococcal organism | 0.742617 |
| methicillin-resistant Staphylococcus aureus | 0.834613 |
|
| Staphylococcal infections | 0.782001 |
| Newer tetracyclines | 0.731117 |
| major public health | 0.819737 |
| local health department | 0.820355 |
| Staphylococcal infection | 0.761935 |
| drug-resistant infections | 0.746652 |
| Barbara Mahon | 0.717824 |
| U.S. DEPARTMENT | 0.709585 |
| higher risk | 0.708619 |
| major successes | 0.722921 |
| Staphylococcus aureus infections | 0.860102 |
| Klebsiella pneumoniae resistance | 0.823326 |
| common source | 0.71717 |
| Dr. Patricia Pesavento | 0.789168 |
| listeriosis cases | 0.770425 |
| Ruthann Richter | 0.719814 |
| San Francisco | 0.782905 |
| infection risk | 0.732628 |
| Laboratory Medicine | 0.713841 |
| Jose M. Bordon | 0.786926 |
| MRSA skin | 0.731179 |
| national molecular subtyping | 0.817974 |
| recent outbreak investigations | 0.928407 |
| laboratory conditions | 0.708976 |
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| 8047 |
Centers for Disease Control and Prevention |
Html |
en |
Climate and Health Program - Program Overview |
NCEH/ATSDR Program Overviews/State Fact Sheets |
| climate forecasts | 0.524693 |
| health risk | 0.499268 |
| CDC | 0.473474 |
| potential health effects | 0.54585 |
| Climate Ready States | 0.566661 |
| human health | 0.504371 |
| New York City | 0.48709 |
| extreme weather events | 0.494406 |
| harmful health effects | 0.549434 |
| innovative public health | 0.542708 |
| city health departments | 0.530203 |
| Climate Effects | 0.540354 |
| mental health problems | 0.542404 |
| highly allergenic pollen | 0.505649 |
| climate change | 0.929128 |
| Health Program | 0.568117 |
| climate change funding | 0.601506 |
| climate change events | 0.588484 |
| public health voice | 0.538905 |
| New York State | 0.491557 |
| health systems operations | 0.529057 |
| health care costs | 0.545031 |
| city public health | 0.5586 |
| Global Climate Change | 0.603979 |
| possible health effects | 0.561072 |
|
| heat waves | 0.494193 |
| chronic respiratory illnesses | 0.485412 |
| health effects | 0.756642 |
| severe heat waves | 0.485633 |
| health threats | 0.545558 |
| Environmental Public Health | 0.539587 |
| tribal health agencies | 0.542804 |
| Health Impact Assessment | 0.533756 |
| future health effects | 0.551458 |
| U.S. Government investment | 0.495894 |
| public health professionals | 0.54136 |
| local success stories | 0.492417 |
| public health | 0.685658 |
| health | 0.798343 |
| health agencies | 0.633011 |
| local public health | 0.534473 |
| future climate change | 0.595533 |
| climate-related health effects | 0.543419 |
| global health aspects | 0.535005 |
| health adaptation planning | 0.528468 |
| carbon dioxide concentration | 0.489635 |
| health risks | 0.499981 |
| climate action | 0.531657 |
| local health agencies | 0.537246 |
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Centers for Disease Control and Prevention |
Html |
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Preventing Chronic Disease | Methods for Translating Evidence-Based Behavioral Interventions for Health-Disparity Communities - CDC |
Populations composed of racial/ethnic minorities, disabled persons, and people with low socioeconomic status have worse health than their counterparts. Implementing evidence-based behavioral interventions (EBIs) to prevent and manage chronic disease and disability in community settings could help ameliorate disparities. |
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Centers for Disease Control and Prevention |
Html |
en |
Prostate Cancer Risk Factors |
Research has found risk factors that increase your chances of getting prostate cancer. |
| parent | 0.325152 |
| risk factors | 0.519941 |
| disease | 0.346196 |
| prostate cancer risk | 0.556729 |
| greater his risk | 0.406286 |
| single gene | 0.416196 |
| father | 0.32377 |
| Research | 0.32655 |
| Certain genes | 0.423701 |
| medical experts | 0.407202 |
| Family history | 0.418957 |
|
| younger ages | 0.411467 |
| prostate cancer | 0.971181 |
| times | 0.322606 |
| son | 0.322743 |
| chances | 0.333924 |
| ethnic groups | 0.409358 |
| Race | 0.322246 |
| African-American men | 0.412886 |
| man | 0.376003 |
| brother | 0.324205 |
| child | 0.323836 |
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| 12414 |
Centers for Disease Control and Prevention |
Image |
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Contact Lenses Are Like Underwear (180W x 279H) |
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| 12458 |
Centers for Disease Control and Prevention |
Video |
en |
Feeling Worse After Treatment? Maybe It’s Not Lyme Disease |
Robert’s story begins with a history of joint pain/stiffness, memory loss, and numbness and tingling in both hands. He is diagnosed with chronic Lyme disease and treated with long-term antibiotics. His symptoms worsen and he begins to lose sight in the right eye. Evaluation by a neurologist and an ophthalmologist leads to the diagnosis of a pituitary tumor—not Lyme disease. Robert has now has permanent heart and kidney disease, joint pain, and severe obstructive sleep apnea as a result of the incorrect diagnosis and treatment. If you’ve had treatments for Lyme disease and still don’t feel better, please get a second opinion. An incorrect diagnosis can lead to permanent damage or death.
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://www.cdc.gov/lyme/videos/boulay/RobertBoulay_Lyme_Revised.wmv |
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CLICK HERE |
| 14105 |
Centers for Disease Control and Prevention |
Image |
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Heart Age Infographic | Examples of actual age vs. heart age |
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Centers for Disease Control and Prevention |
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Protect Yourself During Sex |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
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CLICK HERE |