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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 |
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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 |
|
| 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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| 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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CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0344 |
CDC - Wide Page example description goes here |
| Alabama county | 0.549591 |
| principales enfermedades | 0.543354 |
| CDC Radio Health | 0.606553 |
| Susan G | 0.592497 |
| fundación hugh kaul | 0.678047 |
| entertainment-education television drama | 0.564305 |
| participantes mensajes | 0.548261 |
| muertes prematuras | 0.539542 |
| Health Commun | 0.62292 |
| Prev Med | 0.538837 |
| diabetes among hispanics | 0.652331 |
| physical inactivity during | 0.55989 |
| Cody MJ | 0.592963 |
| US Census Bureau | 0.557605 |
| seguro médico | 0.611081 |
| grupo asesor | 0.59031 |
| Nutrition Examination Survey | 0.558768 |
| Frazier M | 0.538509 |
| Shermetria Massingale | 0.537372 |
| Health Educ Behav | 0.580093 |
| Estados Unidos | 0.938517 |
| CrossRef PubMed | 0.916709 |
| mala nutrición | 0.582146 |
| Chronic Disease Risk | 0.579245 |
| propensity score matching | 0.563267 |
|
| Third National Health | 0.572105 |
| entretenimiento pci media | 0.569275 |
| Diabetes Risk Test | 0.651957 |
| Communities Putting Prevention | 0.563554 |
| Does entertainment-education work | 0.562563 |
| MMWR Morb Mortal | 0.559266 |
| Lawrence Erlbaum Associates | 0.555354 |
| empresa constant contact | 0.564724 |
| Comparative cost effectiveness | 0.558863 |
| Border health strategic | 0.57479 |
| Salud Pública | 0.6435 |
| Massingale S | 0.540127 |
| Radio Nacional Pública | 0.56944 |
| Entertainment–Education Spanish-Language Radio | 0.595147 |
| alto contenido | 0.573392 |
| Constant Contact | 0.60186 |
| Novella Aimed | 0.54252 |
| única estación | 0.73474 |
| hispanos escogen actividades | 0.612384 |
| flesh is weak | 0.554814 |
| American Diabetes Association | 0.646354 |
| audiencia hispana meta | 0.63768 |
| Chronic Dis | 0.63011 |
| Kohler C | 0.538618 |
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| 9834 |
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 |
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Florida EMS Fact Sheet'Data & Statistics'CDC |
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| cardiovascular emergency response | 0.504247 |
| pre-hospital care | 0.257329 |
| care policies | 0.250149 |
| local EMS agencies | 0.444757 |
| slightly different denominators | 0.498411 |
| emergency care experts | 0.355999 |
| Disease Control | 0.245351 |
| acute cardiovascular events | 0.354975 |
| smallest number | 0.321193 |
| useful planning resource | 0.29189 |
| emergency care agency | 0.36739 |
| EMS agencies | 0.729142 |
| local EMS providers | 0.431218 |
| positive patient outcomes | 0.315106 |
| state summary report | 0.306298 |
| American Heart Association | 0.378601 |
| important role | 0.325742 |
| Federal Interagency Committee | 0.312429 |
| out-of-hospital cardiovascular crises | 0.350137 |
| current comprehensive statistics | 0.336586 |
| single agency | 0.485972 |
| critical care challenges | 0.316847 |
| survey | 0.52199 |
| emergency care | 0.550595 |
| largest number | 0.318656 |
|
| EMS Practices | 0.664593 |
| stroke-related emergency response | 0.34928 |
| local EMS managers | 0.468313 |
| heart attacks | 0.268634 |
| heart attack | 0.337456 |
| United States | 0.341955 |
| stroke events | 0.268616 |
| cardiovascular emergency care | 0.399021 |
| emergency medical services | 0.35589 |
| pre-hospital emergency | 0.25448 |
| important characteristics | 0.296524 |
| emergency medical care | 0.527247 |
| heart disease | 0.910621 |
| separate state summaries—one | 0.304106 |
| basic descriptive information | 0.300472 |
| survey results | 0.253166 |
| health care | 0.252727 |
| cardiovascular disease | 0.44001 |
| Stroke Prevention | 0.268444 |
| local EMS | 0.544346 |
| stroke patient encounters | 0.349643 |
| standardized telephone survey | 0.342556 |
| EMS capacity | 0.454053 |
| stroke-related deaths | 0.260629 |
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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 |
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| 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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| 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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| 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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