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Arthritis Awareness Month | CDC Features |
Arthritis affects one in five adults in the United States. That’s 53 million men and women. If you are among them, share your story during May, which is Arthritis Awareness Month, and let others See Arthritis. |
| aerobic activity recommendations | 0.638355 |
| great way | 0.535883 |
| half | 0.424404 |
| United States | 0.562548 |
| adults | 0.652827 |
| Arthritis limitations | 0.748022 |
| rural area | 0.535739 |
| muscle-strengthening activities | 0.531563 |
| Arthritis Awareness | 0.866376 |
| toll | 0.427725 |
| CDC analysis | 0.551759 |
| life | 0.424831 |
| arthritis pain | 0.730991 |
| widespread health conditions | 0.694556 |
| number | 0.426472 |
| Physical Activity Guidelines | 0.630302 |
| brisk walks | 0.553166 |
| fatigue | 0.426153 |
| children | 0.426645 |
| post office | 0.532633 |
| function | 0.424866 |
| better time | 0.532564 |
| rural areas | 0.772488 |
|
| working-age adults | 0.550344 |
| proven programs | 0.535127 |
| moderate-intensity aerobic activity | 0.645729 |
| Arthritis Foundation | 0.761667 |
| sessions | 0.423925 |
| day—walk | 0.423875 |
| coffee shop | 0.532513 |
| Americans | 0.45533 |
| urban areas | 0.654321 |
| people | 0.444776 |
| Ease | 0.425188 |
| grocery store | 0.533175 |
| quality | 0.424845 |
| daily tasks | 0.54 |
| afternoon | 0.427902 |
| urban neighborhood | 0.533467 |
| Researchers | 0.42614 |
| arthritis | 0.980291 |
| partners | 0.42693 |
| difficulties | 0.426737 |
| older adults | 0.547781 |
| suburb | 0.426826 |
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Lyme Disease Data and Statistics |
Information on Lyme disease. Provided by the U.S. Centers for Disease Control and Prevention. |
| Oregon | 0.242022 |
| Lyme disease | 0.91971 |
| infection | 0.243871 |
| CDC | 0.243604 |
| access | 0.238664 |
| United States | 0.394915 |
| Nationally Notifiable disease | 0.588121 |
| areas | 0.290553 |
| public use dataset | 0.414416 |
| County codes | 0.38713 |
| Washington | 0.241983 |
| states | 0.499495 |
| recent case counts | 0.54858 |
|
| patient | 0.273504 |
| neighboring states | 0.416148 |
| Northern California | 0.422251 |
| vectorborne illness | 0.410996 |
| residence | 0.242675 |
| public health | 0.394283 |
| research community | 0.404503 |
| Lyme disease cases | 0.771759 |
| NNDSS data | 0.390037 |
| Case reports | 0.39965 |
| diagnosis | 0.240604 |
| infected ticks | 0.504984 |
| surveillance case definition | 0.541526 |
|
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Vaccines: VPD-VAC/Measles/main page |
Measles vaccine info for parents, public, and healthcare professionals |
| VPD-VAC/Measles/main page | 0.62911 |
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Centers for Disease Control and Prevention |
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La biografía de Nathan - La historia de Nathan - Historias de la vida real - Consejos de exfumadores |
Después de aspirar el humo de otras personas a diario, Nathan comenzó a tener ataques de asma frecuentes provocados por el humo de segunda mano. Su historia completa es parte de la campaña de los CDC Consejos de exfumadores. |
| Archivo Apple Quicktime | 0.569047 |
| Archivo RealPlayer | 0.47508 |
| Archivo Microsoft PowerPoint | 0.595065 |
| Archivo Adobe PDF | 0.568757 |
| Segundo Batallón | 0.473344 |
| Archivo Microsoft | 0.92671 |
|
| tribu sioux oglala | 0.648287 |
| Archivo Microsoft Word | 0.591621 |
| tus nietos | 0.501697 |
| Archivo Zip Comprimido | 0.565665 |
| vÃas respiratorias | 0.80739 |
| Archivo Microsoft Excel | 0.569808 |
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Neglected Parasitic Infections in the United States (NPIs) | Digital Press Kit | CDC Online Newsroom |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| 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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What CDC is Doing - 2014 Ebola Response |
null |
| health education | 0.372648 |
| CDC | 0.97992 |
| enhanced precautions | 0.341838 |
| West Africa region | 0.482092 |
| affected countries | 0.330926 |
| Health Alert Network | 0.470832 |
| international partners | 0.37214 |
| Ebola outbreak | 0.377399 |
| infection control guidance | 0.420632 |
| Communication Activity | 0.331861 |
| disease control | 0.482705 |
| airline staff concerns | 0.441691 |
| CDC staff members | 0.793629 |
| World Health Organization | 0.524153 |
| contact tracing | 0.33384 |
| communication efforts | 0.334636 |
| U.S. government agencies | 0.495825 |
| Health Care Workers | 0.461517 |
| public health experts | 0.497976 |
| West African nations | 0.464813 |
| response efforts | 0.334697 |
| travel restrictions | 0.3396 |
| Ebola virus disease | 0.449165 |
| U.S. healthcare workers | 0.443989 |
|
| Clinician Outreach | 0.330001 |
| data management | 0.338358 |
| United States | 0.352267 |
| rapidly changing situation | 0.474806 |
| Sierra Leone | 0.481543 |
| active steps | 0.347866 |
| sick travelers | 0.373766 |
| support functions | 0.340886 |
| travel notice | 0.349346 |
| disease control activities | 0.47885 |
| technical assistance | 0.462444 |
| U.S. healthcare facilities | 0.442163 |
| local health departments | 0.457006 |
| public health | 0.580919 |
| public health organizations | 0.481193 |
| federal partners | 0.339744 |
| international airports | 0.331789 |
| nonessential travel | 0.345668 |
| infectious disease | 0.333191 |
| West Africa | 0.745972 |
| exit screening | 0.458352 |
| Ebola-specific travel messages | 0.44046 |
| public health action | 0.467616 |
| laboratory testing | 0.337396 |
|
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Immunization Schedules - For Everyone: Easy-to-read Schedules |
CDC official immunization schedules for children, preteens, teens, and adults for health care professionals, parents, and the general public. |
| list Skip | 0.769925 |
| Easy-to-read schedule | 0.602039 |
| page options Skip | 0.956269 |
| office visit | 0.585795 |
| downloadable tool | 0.774484 |
| birth | 0.359568 |
| quick quiz | 0.776172 |
| navigation Skip | 0.794294 |
| Friendly schedule | 0.546903 |
|
| vaccine | 0.373923 |
| Easy-to-read formats | 0.637599 |
| series | 0.361103 |
| age range | 0.580223 |
| schedules | 0.361662 |
| ages | 0.401757 |
| shots | 0.540719 |
| catch-up schedule | 0.562221 |
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Notes from the Field: Adverse Events Associated withAdministration of Simulation Intravenous Fluids to Patients -United States, 2014 |
Misha P. Robyn, DVM1,2, Jennifer C. Hunter, DrPH1,3, Amy Burns, MS2, Alexandra P. |
| simulation IV products | 0.350725 |
| CDC | 0.239988 |
| Epidemic Information Exchange | 0.287684 |
| York State Department | 0.47454 |
| simulation medical products | 0.366104 |
| Jennifer C. Hunter | 0.300321 |
| outpatient clinical settings | 0.310489 |
| clinical facilities | 0.478896 |
| state health departments | 0.30567 |
| Zoonotic Infectious Diseases | 0.269778 |
| Health care providers | 0.306527 |
| health care professionals | 0.318997 |
| Wallcur simulation saline | 0.836659 |
| clinical supply chain | 0.409736 |
| medical training products | 0.313546 |
| state health advisory | 0.318891 |
| patients | 0.361799 |
| New York State | 0.320194 |
| medical supply distributor | 0.310701 |
| urgent care facility | 0.323438 |
| nonsterile product | 0.264953 |
| 2New York State | 0.280209 |
| health care facilities | 0.325876 |
| product recall | 0.319899 |
|
| product administration | 0.279121 |
| 1Epidemic Intelligence Service | 0.273216 |
| simulation saline | 0.967013 |
| Alexandra P. Newman | 0.306329 |
| Ernest J. Clement | 0.306931 |
| Healthcare Quality Promotion | 0.2729 |
| adverse health events | 0.336214 |
| customer order records | 0.474623 |
| simulation product | 0.387688 |
| local health departments | 0.295061 |
| health care | 0.382282 |
| regular saline product | 0.52341 |
| simulation saline products | 0.854155 |
| multiple simulation | 0.260307 |
| Staff members | 0.311545 |
| recent national shortages | 0.277493 |
| Wallcur simulation products | 0.385686 |
| previously described incidents | 0.258802 |
| Misha P. Robyn | 0.320738 |
| public health personnel | 0.311722 |
| saline administration | 0.378718 |
| Clinical Simulation | 0.268326 |
| surgical specialty clinics | 0.283031 |
| New York facilities | 0.315129 |
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Progress Toward Regional Measles Elimination - Worldwide,2000-2014 |
Robert T. Perry, MD1; Jillian S. Murray, MSPH1; Marta Gacic-Dobo, MSc1; Alya Dabbagh, PhD1; Mick N. |
| supplementary immunization activities | 0.486687 |
| SIA MCV coverage | 0.505861 |
| United Nations | 0.479006 |
| Supplemental immunization activities | 0.478118 |
| regional measles elimination | 0.68617 |
| global measles mortality | 0.695797 |
| measles burden | 0.592744 |
| Global Immunization Division | 0.484494 |
| measles elimination | 0.828353 |
| annual estimated measles | 0.691104 |
| United Nations Children | 0.475743 |
| measles cases | 0.796785 |
| measles incidence | 0.776851 |
| additional child health | 0.474962 |
| child mortality | 0.480658 |
| measles vaccination coverage | 0.803728 |
| measles outbreaks | 0.599293 |
| MCV1 coverage | 0.585998 |
| mass immunization campaigns | 0.486114 |
| New measles vaccination | 0.64146 |
| measles elimination goals | 0.7298 |
| measles mortality | 0.768116 |
| Paul A. Rota | 0.47582 |
| routine immunization services | 0.603254 |
|
| regional verification committee | 0.553438 |
| measles control | 0.65745 |
| World Health Organization | 0.534202 |
| measles virus genotypes | 0.631138 |
| endemic measles | 0.598521 |
| annual measles incidence | 0.684346 |
| measles susceptibility | 0.593649 |
| countries | 0.649126 |
| Effective measles surveillance | 0.643372 |
| low MCV1 coverage | 0.482686 |
| measles vaccination | 0.82895 |
| 3Global Immunization Division | 0.476018 |
| World Health Assembly | 0.531122 |
| Mick N. Mulders | 0.475758 |
| United Nations General | 0.474469 |
| Peter M. Strebel | 0.476193 |
| SIA coverage | 0.483379 |
| nationwide catch-up SIA | 0.474513 |
| measles deaths | 0.663115 |
| Global Vaccine Action | 0.480498 |
| Millennium Development Goals | 0.476303 |
| measles | 0.933047 |
| single measles | 0.600134 |
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Not Just Your Grandma's Diabetes |
null |
| fat inside—may look | 0.7928 |
| young person | 0.395239 |
| major risk factor | 0.707805 |
| troubling kind | 0.431687 |
| Hidden layers | 0.398956 |
| kidney disease | 0.382205 |
| excess visceral fat | 0.901168 |
| high school students | 0.668792 |
| Older folks | 0.408504 |
| type | 0.254509 |
|
| risk factor | 0.713072 |
| physical activity | 0.864432 |
| Normal-weight people | 0.354496 |
| typical person | 0.453332 |
| big picture | 0.437149 |
| heart disease | 0.358211 |
| older ones | 0.436614 |
| CDC Diabetes | 0.624206 |
| diabetes | 0.881598 |
| Diabetes Translation | 0.570987 |
|
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