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Evaluating a preventive services index to adjust for healthy behaviors in observational studies of older adults |
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| preventive therapy | 0.294763 |
| fitness program | 0.295065 |
| earlier clinical preventive | 0.317603 |
| Silver Sneakers | 0.320965 |
| observational studies | 0.33945 |
| administrative data | 0.264127 |
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| alternative index | 0.315681 |
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| preventive services index | 0.902282 |
| index date | 0.417516 |
| fecal occult blood | 0.379799 |
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| occult blood test | 0.309748 |
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| Group Health Cooperative | 0.260983 |
|
| physical activity program | 0.289075 |
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| principal components analysis | 0.425073 |
| flexible sigmoidoscopy | 0.309014 |
| preventive care office | 0.339175 |
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| clinical preventive services | 0.364174 |
| health care | 0.333539 |
| health maintenance organization | 0.294793 |
| preventive measures | 0.283636 |
| preventive health care | 0.30322 |
| preventive office visits | 0.315393 |
| colon cancer | 0.376006 |
| preventive behaviors | 0.306586 |
| preventive services indexes | 0.373591 |
| people | 0.261348 |
| prostate cancer screening | 0.353753 |
| physical activity | 0.300447 |
| selection bias | 0.424956 |
| prostate cancer | 0.355309 |
| preventive visits | 0.320478 |
| principal component analysis | 0.35258 |
|
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Radioactive Contamination and Radiation Exposure |
Information on radioactive contamination and exposure . Provided by the Centers for Disease Control and Prevention (CDC). |
| urine | 0.31345 |
| release | 0.314251 |
| body | 0.539116 |
| health officials | 0.358084 |
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| contact | 0.351471 |
| different body organs | 0.429327 |
| energy | 0.33948 |
| plastic bag | 0.357099 |
| body fluids | 0.519021 |
| radioactive materials | 0.992027 |
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| parts | 0.32274 |
| clothing | 0.374496 |
| lukewarm water | 0.359248 |
| object | 0.31322 |
| bodies | 0.32611 |
| Radioactive contamination | 0.569383 |
| soil | 0.313146 |
| air | 0.313158 |
| immediate area | 0.358601 |
| surroundings | 0.314228 |
| radiation exposure | 0.380494 |
| internal contamination | 0.499468 |
| example | 0.325819 |
|
| open wound | 0.371789 |
| surfaces | 0.322079 |
| terrorism | 0.314057 |
| plants | 0.313142 |
| radioactive material | 0.796001 |
| event | 0.314315 |
| law enforcement | 0.359476 |
| out-of-the-way area | 0.356775 |
| types | 0.326322 |
| nature | 0.31431 |
| radioactive dust | 0.489028 |
| people | 0.585917 |
| personal property | 0.372448 |
| blood | 0.327844 |
| following steps | 0.359137 |
| contamination | 0.596977 |
| internally contaminated person | 0.476405 |
| nearest safe building | 0.407954 |
| environment | 0.329356 |
| form | 0.326754 |
| radiation | 0.455868 |
| sweat | 0.330306 |
| abrasions | 0.313667 |
| external contamination | 0.448626 |
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Lung cancer rates decline nationwide - Press Release: September 15, 2011 |
Lung cancer rates decline nationwide |
| National Cancer Institute′s | 0.48531 |
| CDC′s Morbidity | 0.437806 |
| lung cancer | 0.994136 |
| CDC′s cancer prevention | 0.483264 |
| Disease Control | 0.446611 |
| visit www.cdc.gov/cancer | 0.436567 |
| larger reductions | 0.440697 |
| commonly diagnosed cancer | 0.486185 |
| percent smoke-free policies | 0.475691 |
| lung cancers | 0.512707 |
| smoking behavior | 0.450587 |
| lung cancer cases | 0.644362 |
| smoking–related health care | 0.474309 |
| free resources | 0.436114 |
| Columbia | 0.41257 |
| lung cancer data | 0.556586 |
| Cancer Registries | 0.45429 |
| Factor Surveillance | 0.435697 |
| tobacco control efforts | 0.531 |
| HUMAN SERVICES | 0.435873 |
| District | 0.412577 |
| Study findings | 0.437312 |
| women | 0.459658 |
| visit www.cdc.gov/tobacco | 0.436467 |
| smoking prevalence | 0.455776 |
|
| End Results Program | 0.470025 |
| United States | 0.516525 |
| cause | 0.411966 |
| control program | 0.438019 |
| lung cancer rates | 0.806068 |
| CDC′s National Program | 0.471103 |
| men | 0.456944 |
| U.S. DEPARTMENT | 0.436495 |
| visit www.cdc.gov/mmwr | 0.437218 |
| fewer people | 0.439778 |
| CDC′s Behavioral Risk | 0.46984 |
| media campaigns | 0.43888 |
| lowest lung cancer | 0.55112 |
| strategies | 0.414057 |
| effective tobacco control | 0.478441 |
| Cigarette smoking | 0.451483 |
| new lung cancer | 0.583877 |
| lung cancer deaths | 0.558404 |
| greater investments | 0.439 |
| Mortality Weekly Report | 0.46622 |
| higher tobacco prices | 0.474623 |
| smoking patterns | 0.458754 |
| Thomas R. Frieden | 0.476088 |
| lung cancer incidence | 0.764894 |
|
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Sexual Experience and Contraceptive Use Among Female Teens -United States, 1995, 2002, and 2006-2010 |
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. |
| sexual debut | 0.53878 |
| sexually experienced female | 0.37753 |
| effective contraceptive methods | 0.467837 |
| self-reported sexual activity | 0.377465 |
| black teens | 0.430063 |
| highly effective method | 0.637466 |
| injectable contraception | 0.368908 |
| comprehensive approach | 0.371023 |
| effective contraceptive method | 0.424299 |
| sexual activity | 0.464998 |
| National Center | 0.38676 |
| delayed sexual debut | 0.419449 |
| racial/ethnic groups | 0.399095 |
| teen pregnancy | 0.480572 |
| younger teens | 0.435735 |
| older teens | 0.434757 |
| Crystal Pirtle Tyler | 0.411665 |
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| relative increase | 0.384761 |
| racial/ethnic disparities | 0.370713 |
| female teens | 0.728272 |
| emergency contraception | 0.394484 |
| continued promotion | 0.368006 |
| experienced female teens | 0.479956 |
| Current contraceptive users | 0.393244 |
|
| condoms | 0.381982 |
| sexually experienced teens | 0.5367 |
| vaginal intercourse | 0.413612 |
| teens | 0.788004 |
| U.S. teen birth | 0.547288 |
| highly effective contraceptive | 0.535016 |
| current sexual activity | 0.371531 |
| long-acting reversible contraception | 0.451408 |
| Family Growth | 0.412394 |
| teen birth rates | 0.427088 |
| intrauterine device | 0.407621 |
| National Survey | 0.403632 |
| highly effective contraТЌceptive | 0.401719 |
| white teens | 0.481296 |
| moderately effective methods | 0.504595 |
| current contraceptive status | 0.379916 |
| females | 0.409461 |
| teen birth rate | 0.485296 |
| teens convenient practice | 0.423403 |
| moderately effective method | 0.441702 |
| increase | 0.415883 |
| female condom | 0.374309 |
| Hispanic teens | 0.50258 |
| highly effective methods | 0.901735 |
|
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Pandemic Resources Tools - Community Flu 2.0 |
CommunityFlu is a software program that simulates the spread of influenza through a model community, and the impact of a variety of potential interventions - CDC |
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| blank Excel spreadsheet | 0.883674 |
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| CommunityFlu software program | 0.825383 |
| extensive User Manual | 0.74539 |
| Download CommunityFlu | 0.798453 |
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|
| CommunityFlu tracks | 0.75953 |
| baseline run simulations | 0.765039 |
| CommunityFlu | 0.993324 |
| security level | 0.740151 |
| Results Menu page | 0.828654 |
| Developer Tab | 0.776578 |
| School age children | 0.755431 |
| laptop computers | 0.741296 |
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| individual input values | 0.735907 |
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| user | 0.757649 |
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Feature Quiz: Thalassemia - Alt Text Version - NCBDDD |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
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| different file formats | 0.938484 |
| page | 0.276773 |
|
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Email Updates: July 29, 2013'Clinicians Outreach and Communication Activity (COCA) |
CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism. |
| CDC Director | 0.781835 |
| CDC | 0.925631 |
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| racial/ethnic minority groups | 0.637067 |
|
| health care providers | 0.735512 |
| Dr. Tom Frieden | 0.680465 |
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Progress on Children Eating More Fruit, Not Vegetables - Vital Signs Infographic |
The amount of whole fruit* children, 2-18 years old, ate
increased by 67% from 2003 to 2010 and replaced fruit
juice as the main contributor of fruit to children’s diets.
|
| Graphic image | 0.980671 |
| normal daily activities | 0.478898 |
| fruit | 0.823475 |
| min/day | 0.3207 |
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| fellow student | 0.486666 |
| school salad bar | 0.452494 |
| mom | 0.343739 |
| Boys ages | 0.631062 |
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| home tips | 0.389398 |
| time period | 0.488908 |
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| amounts | 0.321242 |
| children | 0.396521 |
| student selling fruit | 0.467098 |
| Maya | 0.450403 |
| Girls ages | 0.65755 |
|
| active children | 0.394941 |
| cups | 0.77703 |
| calorie needs | 0.403931 |
| 14-18 | 0.346379 |
| class | 0.365589 |
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| Text | 0.457193 |
| calories | 0.39157 |
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| 1-1 ½ cups | 0.577641 |
| 2-18 | 0.320393 |
| www.ChooseMyPlate.gov | 0.321129 |
| SOURCE | 0.321147 |
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| Total fruit consumption | 0.476379 |
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| USDA | 0.320338 |
|
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MMWR News Synopsis: October 23, 2014 | CDC Media Relations | CDC |
MMWR – Morbidity and Mortality Weekly Report CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| previous WPV transmission | 0.750685 |
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| World Health Organization | 0.776021 |
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| tremendous effort | 0.636582 |
| Jacquelynn Osoro | 0.623774 |
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| human resources | 0.646051 |
| South-East Asia Region | 0.977361 |
| Reserve Medical Officer | 0.718239 |
| private sector | 0.630534 |
| josoro@health.nyc.gov | 0.62291 |
| CDC Media Relations | 0.973339 |
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| indigenous WPV | 0.65014 |
| cough etiquette | 0.619338 |
|
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| L. Aquino | 0.631946 |
| H3N2 influenza outbreak | 0.781466 |
| crew members | 0.710791 |
| ACIP | 0.717251 |
| Center Health Registry | 0.739114 |
| United States Navy | 0.726614 |
| civilian population | 0.693599 |
| Specific lessons | 0.637931 |
| New York | 0.726778 |
| unique statutory authority | 0.70174 |
| crew member | 0.701592 |
| common injuries | 0.635293 |
| storm-related injuries | 0.636259 |
| human services | 0.765727 |
| damaged residences | 0.619909 |
| population lives | 0.626994 |
| Registry publication | 0.622247 |
| influenza vaccination | 0.64942 |
| medical care | 0.62325 |
| New Jersey | 0.619165 |
| Navy minesweeper | 0.620844 |
| Public Health Service | 0.729614 |
| taquino@health.usf.edu | 0.628971 |
|
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Fact Sheets - Trends in Tuberculosis 2014 - United States |
Centers for Disease Control and Prevention, Division of Tuberculosis Elimination |
| infectious TB disease | 0.405584 |
| foreign-born persons | 0.369127 |
| state tb control | 0.547517 |
| United States | 0.71199 |
| TB Control Offices | 0.397167 |
| TB cases | 0.912781 |
| TB elimination | 0.341012 |
| latent tb infection | 0.660266 |
|
| MDR TB cases | 0.539177 |
| eligible TB patients | 0.41463 |
| tb disease | 0.520581 |
| culture-positive TB cases | 0.442558 |
| MDR TB | 0.557081 |
| TB incidence rate | 0.485281 |
| CDC. Latent TB | 0.395452 |
|
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