| 5417 |
Centers for Disease Control and Prevention |
Html |
en |
The minigrant model: a strategy to promote local implementation of state cancer plans in Appalachian communities. |
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| Appalachian Development District | 0.422402 |
| Appalachian regional visibility | 0.419749 |
| state comprehensive cancer | 0.448477 |
| Tennessee State University | 0.470773 |
| Appalachian Cancer Forum | 0.467716 |
| Appalachian residents | 0.431774 |
| Appalachian cultural cancer | 0.470415 |
| Virginia CCC coalition | 0.417907 |
| statewide CCC coalitions | 0.477365 |
| project advisory work | 0.440721 |
| Appalachian communities | 0.690316 |
| CCC coalition representatives | 0.424539 |
| Appalachian region | 0.506739 |
| Appalachian community cancer | 0.555003 |
| CCC coalition members | 0.426578 |
| successful cancer control | 0.499652 |
| cancer control programs | 0.443197 |
| Appalachian regional partner | 0.428195 |
| local Appalachian communities | 0.561835 |
| Appalachian substate regions | 0.53058 |
| Appalachian states | 0.471207 |
| local Appalachian community | 0.644945 |
| ETSU project staff | 0.458716 |
| state CCC coalition | 0.512881 |
| state cancer plans | 0.56084 |
|
| regional CCC coalitions | 0.472679 |
| Appalachian community leaders | 0.429295 |
| state ccc coalitions | 0.765281 |
| death rates | 0.442242 |
| Appalachian | 0.694676 |
| cancer control | 0.800466 |
| substate CCC coalitions | 0.498869 |
| CCC activities | 0.424583 |
| comprehensive cancer control | 0.457698 |
| substate Appalachian region | 0.454406 |
| CCC coalition personnel | 0.431925 |
| CCC coalition activities | 0.428955 |
| East Tennessee State | 0.47242 |
| cancer control activities | 0.773936 |
| Appalachian populations | 0.420904 |
| cancer data | 0.461787 |
| Appalachian community organizations | 0.587956 |
| Appalachian Regional Commission | 0.473719 |
| similar state CCC | 0.438298 |
| state Appalachian cancer | 0.498615 |
| roundtables | 0.450903 |
| advisory work group | 0.441587 |
| local cancer control | 0.468621 |
| CCC coalitions | 0.904004 |
|
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| 5425 |
Centers for Disease Control and Prevention |
Html |
en |
WARNING: Cigarettes cause fatal lung disease. |
null |
| right web address | 0.987879 |
| Español | 0.403508 |
| Language Assistance | 0.712207 |
| Português | 0.391584 |
| Kreyòl Ayisyen | 0.700648 |
| Instructions | 0.282468 |
| different file formats | 0.919531 |
| Tiếng Việt | 0.70734 |
| Deutsch | 0.348548 |
| help | 0.283342 |
|
| РуÑ?Ñ?кий | 0.283258 |
| Polski | 0.39029 |
| Tagalog | 0.362008 |
| options | 0.298124 |
| Français | 0.385004 |
| Downloading Viewers | 0.795919 |
| العربية | 0.436655 |
| information | 0.283148 |
| page | 0.385868 |
|
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| 7839 |
Centers for Disease Control and Prevention |
Html |
en |
Blindness - Health Communication |
Blindness and Vision Impairment - Gateway to Health Communication - CDC |
| assistive devices | 0.353043 |
| unrestricted driver | 0.374489 |
| major blinding eye | 0.997287 |
| irreversible visual impairment | 0.579699 |
| peripheral vision | 0.392 |
| associated costs | 0.34761 |
| insurance coverage | 0.351868 |
| corrective action | 0.349852 |
| federal government | 0.540648 |
| ethnic groups | 0.347932 |
| vision impairment | 0.939349 |
| productive life | 0.347886 |
| age-related macular degeneration | 0.841555 |
| working-age adults | 0.362503 |
| early treatment | 0.347079 |
| contact lenses | 0.383327 |
| U.S. population ages | 0.47014 |
| standard glasses | 0.384026 |
| blindness | 0.881825 |
| social interactions | 0.346874 |
| blood vessels | 0.485625 |
| better eye | 0.543914 |
| small blood vessels | 0.483171 |
| sharp central vision | 0.53049 |
| diabetic retinopathy | 0.890631 |
|
| low-income families | 0.35031 |
| Blind people | 0.367249 |
| Legal blindness | 0.729694 |
| worse vision | 0.417268 |
| severe vision impairment | 0.685268 |
| optic nerve | 0.355209 |
| residual vision | 0.387832 |
| environmental modifications | 0.348305 |
| best correction | 0.381561 |
| visual field | 0.381363 |
| vision rehabilitation | 0.387263 |
| daily activities | 0.519825 |
| blinding eye diseases | 0.986569 |
| tiny blood vessels | 0.480638 |
| retina | 0.399255 |
| everyday activities | 0.378355 |
| visually impaired people | 0.47367 |
| higher risk | 0.573828 |
| precise functional impairment | 0.637411 |
| Social Security disability | 0.480436 |
| personal income | 0.352784 |
| disability benefits | 0.530384 |
| vision loss | 0.379935 |
| blindness rises | 0.50982 |
|
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| 7893 |
Centers for Disease Control and Prevention |
Html |
en |
Buprenorphine Prescribing Practices and Exposures Reportedto a Poison Center - Utah, 2002-2011 |
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. |
| habituated opioid user | 0.43225 |
| buprenorphine exposure | 0.496913 |
| poison control centers | 0.421915 |
| sublingual tablet | 0.369735 |
| Drug Addiction Treatment | 0.392935 |
| Utah Department | 0.377566 |
| children | 0.420818 |
| overdose deaths | 0.379902 |
| common clinical effects | 0.433235 |
| young children | 0.375625 |
| prescribers | 0.45389 |
| opioid addiction | 0.653549 |
| buprenorphine film package | 0.521192 |
| unintentional exposure | 0.374202 |
| opioid naУÐ?ve patient | 0.430511 |
| office-based treatment | 0.380991 |
| PCC | 0.379706 |
| buprenorphine | 0.900092 |
| poison control center | 0.503348 |
| adverse effects | 0.501238 |
| Utah Poison Control | 0.435932 |
| opioid dependence | 0.575676 |
| respiratory depression | 0.521526 |
| prescription opioid abuse | 0.417761 |
| adult exposures | 0.391299 |
|
| United States | 0.501989 |
| adults | 0.412921 |
| Drug Administration | 0.37054 |
| human exposures | 0.395448 |
| CSD | 0.37379 |
| fatal outcomes | 0.370913 |
| buprenorphine treatment | 0.563629 |
| nontherapeutic exposures | 0.397472 |
| health-care provider counseling | 0.371387 |
| CSD limits identifiers | 0.372554 |
| unintentional exposures | 0.394812 |
| patients prescribed buprenorphine | 0.563642 |
| buprenorphine film product | 0.595704 |
| substantial decreases | 0.376072 |
| local poison control | 0.40751 |
| Utah Controlled Substance | 0.375547 |
| adverse consequences | 0.371613 |
| buprenorphine prescriptions | 0.625886 |
| opioid addiction treatment | 0.561138 |
| public health problem | 0.428819 |
| Respiratory arrest | 0.375484 |
| annual number | 0.445086 |
| buprenorphine exposures | 0.714553 |
| health-care facility | 0.376791 |
|
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| 9185 |
Centers for Disease Control and Prevention |
Html |
en |
MMWR News Synopsis: July 14, 2011 |
MMWR News Synopsis: July 14, 2011 |
| motion picture companies | 0.67309 |
| average number | 0.429246 |
| methyl bromide | 0.956388 |
| Camp owners/managers | 0.423612 |
| average decrease | 0.512857 |
| outbreak investigation | 0.423613 |
| postfumigation methyl bromide | 0.700134 |
| Prevent Disease Associated | 0.502133 |
| methyl bromide levels | 0.696108 |
| youth smoking initiation | 0.541499 |
| virus endemic areas | 0.522962 |
| youth-rated movie | 0.429885 |
| dengue virus | 0.728613 |
| febrile illness | 0.414228 |
| mosquitoes-transmitted virus | 0.426364 |
| published policies | 0.422102 |
| CDC Division | 0.807324 |
| dengue fever | 0.549815 |
| major motion picture | 0.523311 |
| appropriate mosquito-avoidance strategies | 0.511316 |
| excessive methyl bromide | 0.684579 |
| causative agent | 0.418452 |
| appropriate strategies | 0.412599 |
| laboratory-confirmed dengue virus | 0.662704 |
| environmental exposures | 0.42005 |
|
| onscreen tobacco | 0.444141 |
| United States | 0.53092 |
| infected calves | 0.425438 |
| dengue outbreaks | 0.547803 |
| methyl bromide exposures | 0.814318 |
| Electronic Media | 0.793854 |
| National Cancer Institute | 0.540355 |
| appropriate mosquito-avoidance practices | 0.512497 |
| parasite Cryptosporidium | 0.466588 |
| causal relationship | 0.42881 |
| downward trend | 0.429224 |
| potential hazardous exposure | 0.501805 |
| methyl bromide-fumigated commodities | 0.594827 |
| dengue risks | 0.542469 |
| staff members | 0.498473 |
| motion picture company | 0.525196 |
| independent motion picture | 0.523173 |
| fumigation measures | 0.413565 |
| Alcohol-based hand sanitizers | 0.503585 |
| youth-rated movies | 0.423827 |
| pretravel knowledge | 0.416575 |
| tobacco incidents | 0.679378 |
| accessible handwashing stations | 0.492738 |
| infected persons | 0.428692 |
|
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| 12310 |
Centers for Disease Control and Prevention |
Html |
en |
2013 Drug Overdose Mortality Data Announced |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Michael Botticelli | 0.410166 |
| Drug Abuse Prevention | 0.697763 |
| nation’s youth | 0.416919 |
| law enforcement efforts | 0.49337 |
| comprehensive approach | 0.497398 |
| prescription drug abuse | 0.887529 |
| Disease Control | 0.51142 |
| prescription drugs | 0.708094 |
| Law enforcement agencies | 0.502193 |
| drug trafficking | 0.461557 |
| home medicine cabinet | 0.49226 |
| drug problem | 0.472977 |
| prescription opioids | 0.704248 |
| Abuse Prevention Plan. | 0.507744 |
| Attorney General Eric | 0.486733 |
| largest upsurge | 0.417975 |
| mortality data | 0.515239 |
| public health crisis | 0.481311 |
| CDC Director Tom | 0.490547 |
| substance use disorders | 0.507127 |
| drug overdose mortality | 0.678695 |
| primary care physicians | 0.489049 |
| prescription drug monitoring | 0.646199 |
| foreign nations | 0.409086 |
| Drug Control Policy | 0.900807 |
|
| tribal law enforcement | 0.522464 |
| life-saving opioid overdose | 0.612442 |
| United States | 0.500144 |
| White House Office | 0.710993 |
| prescription drug overdose | 0.701474 |
| law enforcement | 0.789074 |
| reversal drug | 0.457428 |
| opioid crisis | 0.454228 |
| future overdose | 0.471093 |
| Drug Enforcement Administration | 0.573949 |
| Obama Administration | 0.498205 |
| opioid analgesics | 0.494168 |
| public safety leaders | 0.487515 |
| drug deaths | 0.540321 |
| Abuse Prevention Plan | 0.495585 |
| opioid use disorders | 0.474094 |
| domestic law enforcement | 0.492825 |
| mortality rate | 0.421326 |
| federal drug control | 0.538065 |
| prescription painkillers | 0.511737 |
| healthcare setting | 0.408602 |
| Healthcare providers | 0.409136 |
| National Drug Control | 0.900878 |
| drug-induced deaths | 0.441651 |
|
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| 12468 |
Centers for Disease Control and Prevention |
Video |
en |
June 2013 ACIP Meeting -- Opening Remarks |
Opening remarks for June 2013 The U.S. Advisory Committee of Immunization Practices meeting hosted by Dr. Jon Temte and Dr. Larry Pickering.
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/vod.php?id=6d1740eceeb88604b828ba9580b53bc620130730140231828 |
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| 12903 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field: Increase in Reported Crimean-CongoHemorrhagic Fever Cases - Country of Georgia, 2014 |
Ashley L. Greiner, MD1,2, Nana Mamuchishvili3, Stephanie J. Salyer2, DVM, Kendra Stauffer4, DVM, Marika Geleishvili, MD4, Khatuna Zakhashvili, MD3, Juliette Morgan, MD4 (Author affiliations at end of text). |
| national surveillance | 0.672285 |
| Public health interventions | 0.672206 |
| ongoing CCHF surveillance | 0.789519 |
| infected animal blood | 0.674675 |
| surveillance system sensitivity | 0.725058 |
| Disease Control | 0.685851 |
| nonspecific febrile illness | 0.704428 |
| Stephanie J. Salyer | 0.693626 |
| Ashley L. Greiner | 0.85057 |
| passive CCHF surveillance | 0.818436 |
| surveillance sensitivity | 0.747265 |
| national reference laboratory | 0.672553 |
| risk factors | 0.669438 |
| surveillance data | 0.669151 |
| Global Health | 0.700113 |
| milder CCHF cases | 0.752646 |
| CCHF diagnostic testing | 0.720615 |
| improved surveillance | 0.655023 |
| nationwide educational campaign | 0.669051 |
| high-priority bioterrorism agent | 0.68265 |
| acute febrile illness | 0.795677 |
| crimean-congo hemorrhagic fever | 0.926754 |
| Georgia | 0.778404 |
| rural villages | 0.67816 |
| 1Epidemic Intelligence Service | 0.656126 |
|
| CCHF | 0.910443 |
| febrile illness studies | 0.800163 |
| Integrated Disease Surveillance | 0.754802 |
| annual case | 0.6783 |
| CCHF nucleic acid | 0.734041 |
| future public health | 0.678231 |
| infected tick | 0.727512 |
| Reported Crimean-Congo Hemorrhagic | 0.823555 |
| viral hemorrhagic fever | 0.758597 |
| health care workers | 0.668002 |
| CCHF testing | 0.657389 |
| public health | 0.833822 |
| Global Health Protection | 0.674583 |
| educational campaigns | 0.657513 |
| hemorrhagic sign | 0.66332 |
| 4South Caucasus Country | 0.663144 |
| CCHF physician awareness | 0.727059 |
| safe tick handling | 0.692009 |
| annual case count | 0.673681 |
| mean incubation period | 0.663185 |
| peak tick activity | 0.690265 |
| physician educational campaigns | 0.654306 |
| CCHF patients | 0.744978 |
| hemorrhagic signs | 0.726741 |
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| 15886 |
Centers for Disease Control and Prevention |
Html |
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Unmet Needs for Ancillary Services Among Men Who Have Sexwith Men and Who Are Receiving HIV Medical Care - United States,2013-2014 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| White HIV/AIDS Program | 0.401527 |
| ancillary services | 0.883293 |
| outpatient HIV | 0.412197 |
| Hispanic/Latino MSM | 0.49402 |
| HIV case managers | 0.336846 |
| health outcomes | 0.344084 |
| HIV stay | 0.315556 |
| medical care services | 0.391515 |
| non-HIV medical care | 0.356333 |
| peer group support | 0.313661 |
| HIV treatment adherence | 0.341448 |
| Ryan White HIV/AIDS | 0.439431 |
| health care providers | 0.353551 |
| Non-Hispanic black MSM | 0.382883 |
| ongoing HIV transmission | 0.336641 |
| nutrition services | 0.360495 |
| HIV medical care | 0.694773 |
| prevalent unmet need | 0.451794 |
| HIV treatment | 0.425548 |
| HIV support services | 0.393067 |
| HIV peer group | 0.401323 |
| human immunodeficiency virus | 0.368669 |
| non-white MSM | 0.328924 |
| new HIV infection | 0.331919 |
| HIV-infected MSM | 0.354946 |
|
| United States | 0.498066 |
| dental care | 0.41569 |
| prevalent unmet needs | 0.549037 |
| overestimate unmet needs | 0.406476 |
| housing services | 0.320299 |
| non-Hispanic white MSM | 0.384205 |
| vision care | 0.357268 |
| unmet needs | 0.983622 |
| substantial unmet needs | 0.524449 |
| newly diagnosed HIV | 0.339218 |
| HIV-related health outcomes | 0.341853 |
| health care | 0.390761 |
| White HIV care | 0.362192 |
| unmet need | 0.74842 |
| MSM | 0.584348 |
| health | 0.397119 |
| poor HIV treatment | 0.335296 |
| medical care | 0.731663 |
| transportation assistance | 0.389686 |
| HIV care—United States | 0.337974 |
| higher prevalences | 0.320102 |
| HIV care | 0.458153 |
| mental health care | 0.387385 |
| young MSM | 0.330538 |
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| 16153 |
Centers for Disease Control and Prevention |
Html |
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It's Your Life. Treat Your Diabetes Well. | Features | CDC |
November is National Diabetes Month. Here's to managing your diabetes for a longer healthier life. |
| 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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