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Centers for Disease Control and Prevention |
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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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| 5580 |
Centers for Disease Control and Prevention |
Html |
en |
Tetramethyl succinonitrile - NIOSH Pocket Guide to Chemical Hazards |
null |
| 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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| 8146 |
Centers for Disease Control and Prevention |
Html |
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Preconception Care, Show Your Love Campaign - Image, Planning for a baby |
null |
| full-size image,right click | 0.985635 |
| Save target | 0.727095 |
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| 9377 |
Centers for Disease Control and Prevention |
Html |
es |
Errores en reportes de consumo de cigarros entre jóvenes: Datos de la Encuesta de tabaquismo en los jóvenes del 2009, Virginia |
CDC - Wide Page example description goes here |
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CLICK HERE |
| 12206 |
Centers for Disease Control and Prevention |
Html |
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For General Healthcare Settings in West Africa: InitialScreening of Patients within the Healthcare System | EbolaHemorrhagic Fever | CDC |
null |
| digital thermometer | 0.753249 |
| community members | 0.605447 |
| feet | 0.585578 |
| screening attendant | 0.909594 |
| distance | 0.537107 |
| alcohol-based hand rub | 0.670384 |
| greater core temperature | 0.707398 |
| unexplained hemorrhage | 0.602779 |
| appropriate PPE | 0.61514 |
| infection control | 0.611945 |
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| mercury thermometers | 0.607201 |
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| additional symptoms | 0.590986 |
| main clinic | 0.613394 |
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| Chlorine residue | 0.610041 |
| important components | 0.611534 |
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| accurate temperatures | 0.591682 |
| patient | 0.693684 |
| physical contact | 0.597932 |
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| severe headache | 0.595192 |
|
| healthcare facility | 0.610488 |
| chlorine solution | 0.695107 |
| his/her hands | 0.707729 |
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| face mask | 0.594866 |
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| Ebola-related signs | 0.600758 |
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| unscreened patients | 0.621431 |
| mercury thermometer | 0.675346 |
| impermeable gown | 0.611416 |
| his/her gloves | 0.60641 |
| people | 0.537423 |
| screener | 0.54523 |
| EVD | 0.541959 |
| healthcare workers | 0.609057 |
| unexplained bleeding | 0.607558 |
| pre-screening area | 0.605704 |
| screening procedures | 0.651193 |
| noncontact infrared thermometers | 0.678947 |
| face shield | 0.595098 |
| entire thermometer | 0.667959 |
| minimum | 0.540044 |
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| 12743 |
Centers for Disease Control and Prevention |
Html |
en |
Vital Signs: Disparities in Nonsmokers' Exposure toSecondhand Smoke - United States, 1999-2012 |
On February 3, 2015, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| comprehensive statewide laws | 0.568447 |
| serum cotinine analysis | 0.557311 |
| multiunit housing residency | 0.569831 |
| exposure exist | 0.560324 |
| serum cotinine levels | 0.647146 |
| serum cotinine data | 0.555905 |
| children | 0.609546 |
| Serum cotinine values | 0.555365 |
| Nutrition Examination Survey | 0.574313 |
| housing status | 0.572193 |
| Mexican Americans | 0.628151 |
| poverty level | 0.641875 |
| serum cotinine | 0.713685 |
| percentage change | 0.707782 |
| non-Hispanic black households | 0.570409 |
| workplace SHS exposure | 0.654424 |
| persons | 0.556881 |
| SHS exposure | 0.996896 |
| smoke-free home rules | 0.554555 |
| nonsmokers | 0.724438 |
| Greater SHS exposure | 0.653009 |
| low socioeconomic status | 0.558802 |
| serum cotinine level | 0.567508 |
| voluntary smoke-free home | 0.618858 |
|
| interview response rates | 0.567884 |
| adult nonsmokers | 0.572444 |
| United States | 0.562882 |
| U.S. nonsmokers | 0.616752 |
| smoke-free rules | 0.56447 |
| comprehensive smoke-free laws | 0.605772 |
| Mexican American nonsmokers | 0.584349 |
| prevalence | 0.567951 |
| public places | 0.579388 |
| non-Hispanic blacks | 0.728405 |
| smoking | 0.576701 |
| smoke-free policies | 0.594668 |
| multiunit housing | 0.671023 |
| non-Hispanic white households | 0.570074 |
| higher cotinine levels | 0.563785 |
| Serum cotinine concentrations | 0.555636 |
| continued efforts | 0.55371 |
| non-Hispanic whites | 0.637177 |
| background SHS levels | 0.61047 |
| non-Hispanic white nonsmokers | 0.620091 |
| non-hispanic black nonsmokers | 0.650401 |
| preventable health hazard | 0.605635 |
| recent exposure | 0.568164 |
| population exposure | 0.567189 |
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Centers for Disease Control and Prevention |
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YRBS 2015 Results | CDC Online Newsroom | CDC |
Teen smoking rates are at the lowest level (11%) since CDC began monitoring in 1991! |
| ideal time | 0.386128 |
| risk behaviors | 0.742082 |
| health risk behaviors | 0.72447 |
| sexually active students | 0.484097 |
| wireless devices | 0.399695 |
| Disease Control | 0.406797 |
| prescription drugs | 0.394588 |
| drinking sugar-sweetened beverages | 0.466506 |
| best science | 0.388826 |
| physical fighting | 0.394275 |
| newly emerging behaviors | 0.53325 |
| good decision making | 0.455426 |
| average text | 0.390472 |
| survey findings | 0.485336 |
| National Youth Risk | 0.519565 |
| YRBS report | 0.468876 |
| lowest levels | 0.410118 |
| life-threatening. YRBS results | 0.463421 |
| fewer high school | 0.476429 |
| new challenges | 0.401513 |
| U.S. high school | 0.508072 |
| current cigarette | 0.411241 |
| youth risk behaviors | 0.555527 |
| new data | 0.398247 |
| sexual risk behaviors | 0.5631 |
|
| Behavior Survey | 0.409694 |
| healthy behaviors | 0.455107 |
| teens | 0.32741 |
| risk taking. | 0.398958 |
| percent | 0.387422 |
| 55 mph | 0.394087 |
| Nationwide | 0.333716 |
| key survey findings | 0.482399 |
| important health risk | 0.474954 |
| important tool | 0.384482 |
| sedentary related behaviors | 0.551679 |
| survey results | 0.409191 |
| risk taking | 0.395786 |
| texting | 0.322374 |
| high school students | 0.9136 |
| safety concerns | 0.393774 |
| Cigarette smoking | 0.519907 |
| e-cigarettes | 0.336187 |
| football field | 0.391767 |
| mixed results | 0.394963 |
| risks | 0.327841 |
| screen time | 0.392919 |
| overall trends | 0.382424 |
| HIV testing | 0.391623 |
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Centers for Disease Control and Prevention |
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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 |
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| 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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Centers for Disease Control and Prevention |
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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 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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Centers for Disease Control and Prevention |
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From Making Sandwiches to Being Sandwiched | CDC Features |
Work-life balance for working caregivers may be difficult. But you are not alone - among the 44 million unpaid elder caregivers in the US, 75% are employed. |
| parent | 0.427509 |
| working caregiver | 0.552402 |
| Caregiving website | 0.566615 |
| older persons | 0.476539 |
| short walk | 0.469447 |
| problem | 0.335846 |
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| employer | 0.369186 |
| old mother | 0.508617 |
| respite care | 0.478084 |
| health conditions | 0.491582 |
| old caregiver | 0.590616 |
| teenage sons | 0.498951 |
| local resources | 0.469946 |
| multi-million dollar program | 0.690577 |
| needs | 0.393443 |
| little time | 0.496854 |
| Join community caregiver | 0.684264 |
| additional resources | 0.47043 |
| normal family responsibilities | 0.634387 |
| Pew Research Center | 0.652949 |
| job | 0.487971 |
| support network | 0.466899 |
| U.S. businesses | 0.477284 |
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| child | 0.363862 |
| exercise | 0.351871 |
| caregiving tasks | 0.582437 |
| after-school activities | 0.497143 |
| hot bath | 0.46897 |
| replacement costs | 0.468911 |
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| job benefits | 0.48421 |
| demanding job | 0.48621 |
| work-life balance | 0.726189 |
| Alzheimer’s Disease | 0.507669 |
| emotional support | 0.462494 |
| lower quality | 0.474838 |
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| Talk | 0.365792 |
| chores | 0.335369 |
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| higher levels | 0.475113 |
| help | 0.365739 |
| Sally | 0.427115 |
| Caregiving Resources | 0.563834 |
| sandwich generation | 0.494947 |
| job situation | 0.483774 |
| time | 0.526752 |
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