| 4518 |
Centers for Disease Control and Prevention |
Html |
en |
Children and Influenza Antiviral Drugs |
Children and Flu Antiviral Drugs - CDC |
| 2016-2017 flu season | 0.543113 |
| influenza infection | 0.555003 |
| American Academy | 0.454642 |
| influenza antiviral drugs | 0.870296 |
| health care provider | 0.491059 |
| Flu-like symptoms | 0.453285 |
| lung disease | 0.450572 |
| visit Treatment | 0.45154 |
| trade name Relenza® | 0.450911 |
| important step | 0.460043 |
| progressive illness | 0.457737 |
| Book Online Influenza | 0.571455 |
| children | 0.569699 |
| respiratory disease | 0.496263 |
| Resource Page | 0.452248 |
| AAP recommendations | 0.457629 |
| stuffy nose | 0.451659 |
| clinical study | 0.449328 |
| Prompt treatment | 0.459154 |
| flu illness | 0.521287 |
| Early treatment | 0.459262 |
| behavior changes | 0.449476 |
| important treatment option | 0.512331 |
| high risk | 0.501069 |
| influenza virus | 0.51734 |
|
| special inhaler | 0.457176 |
| zanamivir | 0.491149 |
| Flu antiviral drugs | 0.702972 |
| flu symptoms | 0.507999 |
| treatment | 0.531093 |
| effective treatment option | 0.505121 |
| United States | 0.452597 |
| chronic health conditions | 0.494024 |
| flu vaccine | 0.518072 |
| inhaled zanamivir | 0.482788 |
| flu complications | 0.503972 |
| Reported side effects | 0.452193 |
| flu-related complications | 0.515454 |
| muscle aches | 0.451388 |
| sore throat | 0.450738 |
| dry cough | 0.450089 |
| antiviral drugs | 0.996738 |
| flu viruses | 0.510844 |
| inactive substance | 0.449278 |
| illness symptoms | 0.459641 |
| influenza viruses | 0.535693 |
| respiratory failure | 0.453867 |
| ear infections | 0.451335 |
| oseltamivir | 0.512474 |
|
CLICK HERE |
| 4745 |
Centers for Disease Control and Prevention |
Html |
en |
Tobacco Use - CDC Vital Signs |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| smoking rates | 0.78846 |
| graduate degree smoke | 0.681606 |
| photo ID | 0.240175 |
| GED smoke | 0.55158 |
| Mortality Weekly Report | 0.3671 |
| health insurance | 0.246339 |
| highest smoking rates | 0.541059 |
| lower education level | 0.39079 |
| Tobacco Use Epidemic | 0.482386 |
| Fewer people | 0.26632 |
| youth access | 0.242881 |
| especially children | 0.247631 |
| pediatric patients | 0.235413 |
| Indian/Alaska Native adults | 0.425301 |
| West Virginia | 0.251928 |
| pregnant women | 0.247014 |
| tobacco marketing | 0.395309 |
| heart disease | 0.383906 |
| multiracial adults | 0.278521 |
| tobacco | 0.68832 |
| secondhand smoke | 0.643512 |
| new FDA restrictions | 0.358676 |
| teen smoking | 0.410899 |
|
| comprehensive tobacco control | 0.49969 |
| World Health Organization | 0.359178 |
| adult smokers | 0.263957 |
| teen cigarette | 0.248624 |
| poverty level smoke | 0.671747 |
| respiratory conditions | 0.392485 |
| high school students | 0.901139 |
| preventable cause | 0.275616 |
| company property | 0.247617 |
| people | 0.271937 |
| tobacco product indoors | 0.518267 |
| new CDC reports | 0.418997 |
| tobacco products | 0.596147 |
| health problems | 0.258483 |
| different smoking rates | 0.549294 |
| nonsmokers | 0.227964 |
| Adult smoking rates | 0.537015 |
| CDC-recommended levels | 0.24136 |
| lowest smoking rate | 0.540186 |
| Utah smoke cigarettes | 0.668386 |
| health risks | 0.243598 |
| MPOWER strategies | 0.248105 |
|
CLICK HERE |
| 5071 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Monday, November 16, 2009 |
null |
| widespread occurrence | 0.471461 |
| endorsement | 0.451798 |
| current awareness | 0.469796 |
| Liu TM | 0.481241 |
| Butler WR | 0.475683 |
| Disease Control | 0.468905 |
| Cryptosporidium horse genotype | 0.56949 |
| CDC Knowledge | 0.633804 |
| Donlan RM | 0.488789 |
| Action Science Clips | 0.966355 |
| factual accuracy | 0.469254 |
| influenza neuraminidase variants | 0.539583 |
| Carr JH | 0.483241 |
| Ribot EM | 0.475644 |
| Cooper KL | 0.478233 |
| Chief Science Officer | 0.557363 |
| Halpin JL | 0.486934 |
| Tumpey TM | 0.47998 |
| Chase | 0.422546 |
| DHHS | 0.486262 |
| human pulmonary infections | 0.537474 |
| Subtype analysis | 0.494371 |
| public domain | 0.483989 |
| Stephen B. Thacker | 0.693426 |
| drug resistance monitoring | 0.539271 |
|
| Belser JA | 0.492004 |
| items | 0.426324 |
| United States | 0.474888 |
| nom. rev | 0.47197 |
| nov. | 0.423087 |
| Cryptosporidium specimens | 0.501901 |
| Ferreira JA | 0.496071 |
| Garrett NM | 0.475956 |
| sporadic cases | 0.478573 |
| informational purposes | 0.462925 |
| public health literature | 0.528919 |
| B. Thacker CDC | 0.788738 |
| Host cell selection | 0.542012 |
| original authors | 0.470366 |
| non-CDC Websites | 0.468463 |
| original sources | 0.482074 |
| Katz JM | 0.474106 |
| Mycobacterium paraffinicum | 0.489294 |
| New Mexico | 0.4722 |
| news sources | 0.471207 |
| Toney NC | 0.487811 |
| Thacker CDC Library | 0.788627 |
| Cryptosporidium hominis subtype | 0.591335 |
| Nocardia mikamii sp. | 0.538962 |
|
CLICK HERE |
| 6408 |
Centers for Disease Control and Prevention |
Html |
en |
Native Diabetes Wellness Program Commemorates Native American Heritage Month - November 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. |
| mmwrq@cdc.gov. | 0.647125 |
| CDC | 0.652292 |
| National Native American | 0.761445 |
| Human Services | 0.828223 |
| Eagle Books | 0.624651 |
| assistive technology | 0.647094 |
| U.S. Department | 0.730729 |
| MMWR HTML versions | 0.726152 |
| Native Diabetes Wellness | 0.840957 |
| Alaska Native | 0.640467 |
| fact sheet | 0.624192 |
| Tribal Leaders Diabetes | 0.852763 |
| electronic PDF version | 0.714659 |
| elementary school children | 0.734158 |
| social support | 0.626261 |
| Additional information | 0.633412 |
| share data | 0.627109 |
| Contact GPO | 0.643621 |
| weight loss | 0.631474 |
| prevention messages | 0.629874 |
| healthier environment | 0.62878 |
| Special Diabetes Program | 0.851621 |
| traditional ways | 0.630232 |
| cooperative agreements | 0.622928 |
|
| age-adjusted rates | 0.634616 |
| lifestyle interventions | 0.62451 |
| national estimates | 0.626681 |
| original paper copy | 0.719948 |
| high risk | 0.631264 |
| traditional foods | 0.626442 |
| general information | 0.628225 |
| United States | 0.623834 |
| U.S. Government Printing | 0.725953 |
| original MMWR paper | 0.722346 |
| prevention efforts | 0.626398 |
| MMWR readers | 0.629101 |
| middle school children | 0.73778 |
| non-Hispanic whites | 0.643229 |
| CDC. National | 0.628462 |
| Research studies | 0.631945 |
| tribal representatives | 0.635118 |
| subject line | 0.644646 |
| tribal communities | 0.749849 |
| typeset documents | 0.62311 |
| Eagle Book | 0.623637 |
| Indian Health Service | 0.969845 |
| local cultures | 0.624744 |
| physical activity | 0.751411 |
|
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| 8050 |
Centers for Disease Control and Prevention |
Html |
en |
Progress in Increasing Breastfeeding and ReducingRacial/Ethnic Differences - United States, 2000-2008 Births |
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. |
| Best Fed Beginnings | 0.223541 |
| data | 0.271297 |
| American Academy | 0.24801 |
| continued breastfeeding | 0.707233 |
| breastfeeding intentions | 0.587283 |
| breastfeeding duration question | 0.726924 |
| white breastfeeding initiation | 0.858706 |
| complementary foods | 0.245847 |
| whites | 0.23261 |
| duration prevalences | 0.243336 |
| trend analysis | 0.304995 |
| statistically significant increase | 0.244862 |
| National Center | 0.275212 |
| exclusive breastfeeding | 0.698666 |
| racial/ethnic groups | 0.394495 |
| unsupportive cultural norms | 0.226198 |
| International Board Certified | 0.226983 |
| minimum breastfeeding duration | 0.663284 |
| racial/ethnic differences | 0.229652 |
| maternal education | 0.22698 |
| U.S. breastfeeding | 0.559161 |
| survey | 0.264698 |
| additional support | 0.244534 |
| black women | 0.288593 |
|
| women | 0.292397 |
| black infants warrants | 0.349474 |
| Cria G. Perrine | 0.231078 |
| Kelley S. Scanlon | 0.228812 |
| Hispanic infants | 0.501198 |
| Breastfeeding Interventions | 0.576731 |
| percentage points | 0.227978 |
| Jessica A. Allen | 0.328206 |
| National Immunization Survey | 0.261893 |
| unsupportive work environment | 0.227139 |
| exclusive racial/ethnic groups | 0.33928 |
| random-digit–dialed telephone survey | 0.251618 |
| lower breastfeeding prevalence | 0.736596 |
| breast milk | 0.27707 |
| breastfeeding duration | 0.836136 |
| complex sampling design | 0.229665 |
| white infants | 0.277976 |
| Chronic Disease Prevention | 0.227695 |
| ascertain significant differences | 0.23352 |
| consistently lower prevalence | 0.260387 |
| cellular telephone users | 0.337913 |
| breastfeeding | 0.939522 |
| black infants | 0.637435 |
| Support Breastfeeding | 0.608472 |
|
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| 8388 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | HPV Knowledge Among aMarginalized Population [Letter] - CDC |
The original research article by Mills et al (1) provides important insight into the barriers for human papillomavirus (HPV) vaccine uptake among a marginalized population... |
| sexually transmitted infection | 0.515058 |
| Emory University | 0.750998 |
| nontraditional HPV vaccination | 0.604708 |
| Latina women | 0.530422 |
| Carlos del Rio | 0.50176 |
| crucial role | 0.46609 |
| significant disparity | 0.469072 |
| Anna M. Acosta | 0.50762 |
| vulnerable women | 0.467286 |
| cervical cancer | 0.846082 |
| Victoria L. Green | 0.504434 |
| HPV vaccines | 0.548141 |
| health literacy | 0.471643 |
| human papillomavirus | 0.473453 |
| death rates | 0.471157 |
| cervical cancer incidence | 0.565373 |
| at-risk populations | 0.467056 |
| English language | 0.471415 |
| immigration status | 0.466803 |
| HPV vaccination | 0.676631 |
| Lay health workers | 0.5147 |
| HPV | 0.695381 |
| common STI | 0.466253 |
| underserved Latinas | 0.500537 |
| disproportionately large burden | 0.510735 |
|
| penile cancer | 0.47406 |
| important insight | 0.468882 |
| HPV-unvaccinated women | 0.467723 |
| Jesse Hill Jr | 0.937355 |
| marginalized population | 0.474368 |
| underserved population | 0.479579 |
| Hill Jr Dr | 0.925467 |
| vaccine uptake | 0.631553 |
| non-Hispanic whites | 0.477555 |
| health care | 0.473357 |
| health service | 0.520638 |
| Jr Dr SE | 0.936691 |
| indigent populations | 0.472247 |
| knowledge questions | 0.469649 |
| HPV vaccination uptake | 0.664752 |
| Appalachian population | 0.469958 |
| English | 0.480167 |
| cultural beliefs | 0.466767 |
| Public Health Service | 0.510626 |
| limited free time | 0.51011 |
| HPV knowledge survey | 0.62587 |
| non-Hispanic white women | 0.546515 |
| original research article | 0.532476 |
| young Appalachian women | 0.517306 |
|
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| 11128 |
Centers for Disease Control and Prevention |
Html |
en |
2008 National Report on Biochemical Indicators of Diet and Nutrition - Water-Soluble Vitamins & Related Biochemical Compounds |
null |
| Research Council Vitamin | 0.383282 |
| dietary folate equivalents | 0.508749 |
| RBC folate concentrations | 0.678028 |
| neural tube defects | 0.392812 |
| Folic acid food | 0.385241 |
| Vitamin B12 deficiency | 0.52695 |
| plasma folate | 0.438999 |
| Vitamin Study Research | 0.412682 |
| Life Sciences Research | 0.519648 |
| serum folate concentrations | 0.755188 |
| Nutrition Examination Survey | 0.410142 |
| U.S. Food | 0.497665 |
| Plasma Hcy concentrations | 0.429535 |
| Sciences Research Office | 0.517978 |
| national health | 0.475779 |
| median RBC folate | 0.632259 |
| Excess folic acid | 0.379582 |
| serum vitamin | 0.606708 |
| elevated concentrations | 0.411205 |
| higher concentrations | 0.406902 |
| Geometric mean concentrations | 0.380848 |
| folate status | 0.531472 |
| folic acid fortification | 0.596575 |
| total homocysteine concentrations | 0.394186 |
|
| folate methodology | 0.430858 |
| folate nutritional status | 0.47113 |
| folic acid intake | 0.38154 |
| Drug Administration | 0.517964 |
| folic acid supplementation | 0.384391 |
| moderately low concentrations | 0.391016 |
| low serum folate | 0.543994 |
| blood folate | 0.483758 |
| methods measure concentrations | 0.392925 |
| vitamin B6 status | 0.426124 |
| folic acid | 0.952419 |
| low serum vitamin | 0.445847 |
| good folate status | 0.484343 |
| U.S. folic acid | 0.41355 |
| vitamin b12 | 0.734984 |
| lower serum folate | 0.516413 |
| plasma mma concentrations | 0.558054 |
| U.S. population | 0.455975 |
| periconceptional vitamin supplementation | 0.381026 |
| adequate folate status | 0.483271 |
| Vitamin B12 functions | 0.570588 |
| dietary folate equivalent | 0.507753 |
| lower RBC folate | 0.503273 |
| folate data | 0.493538 |
|
CLICK HERE |
| 12590 |
Centers for Disease Control and Prevention |
Video |
en |
REACH- Community Asthma Initiative -- Boston Children's Hospital, Massachusetts |
Through home visits and nurse case management, see how the Community Asthma initiative in Boston is reducing the need for asthma-related emergency department (ED) visits and hospital admissions.
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/vod2.php?id=9a4ec1a83e725a10da15fe7f4f48098020130308110512737 |
| Boston Children | 0.446792 |
| Massachusetts | 0.216162 |
|
| Hospital | 0.216521 |
| Initiative | 0.382892 |
|
CLICK HERE |
| 13038 |
Centers for Disease Control and Prevention |
Html |
en |
HEADS UP App | HEADS UP | CDC Injury Center |
null |
| benefits | 0.432043 |
| parent | 0.433079 |
| CDC | 0.497016 |
| futuristic world | 0.599524 |
| possible concussion | 0.751771 |
| Apple App Store | 0.900773 |
| proper helmet fit | 0.776658 |
| brain injury | 0.562821 |
| children | 0.501001 |
| Rocket Blades | 0.77612 |
| Download | 0.430649 |
| 3-2-1 | 0.437587 |
| galactic racing adventures | 0.75404 |
| mobile game app | 0.974347 |
| cost | 0.430513 |
|
| 3D helmet fit | 0.773894 |
| Injury Center | 0.593591 |
| Helmet Safety app | 0.941754 |
| Android version | 0.589822 |
| teen | 0.430757 |
| Kids | 0.42922 |
| HEADS UP Rocket | 0.785953 |
| coaches | 0.450756 |
| application | 0.428744 |
| HEADS UP Concussion | 0.788709 |
| adult | 0.431352 |
| coach | 0.431457 |
| concussion safety | 0.922822 |
| parents | 0.450814 |
|
CLICK HERE |
| 15663 |
Centers for Disease Control and Prevention |
Html |
null |
West Nile Virus Activity by State - United States | West Nile Virus |
Information on West Nile Virus. Provided by the U.S. Centers for Disease Control and Prevention. |
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CLICK HERE |