| 1049 |
Centers for Disease Control and Prevention |
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Breast Cancer in Young Women |
Most breast cancers are found in women who are 50 years old or older, but breast cancer also affects younger women. If you have a higher risk of getting breast cancer at a young age, talk to your doctor. |
| young women | 0.646549 |
| oral contraceptives | 0.55017 |
| career | 0.510221 |
| close relatives | 0.59502 |
| Ashkenazi Jewish heritage | 0.599636 |
| Read | 0.519802 |
| healthy choices | 0.550201 |
| infographic lists | 0.54801 |
| fact sheet | 0.546565 |
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| talk | 0.515361 |
| Facebook | 0.509581 |
| early age | 0.553428 |
| Marleah | 0.510246 |
| ovarian cancer | 0.599675 |
| genes | 0.519237 |
| younger women | 0.568849 |
| birth control pills | 0.591613 |
| Cara | 0.50949 |
| Pam shares | 0.548437 |
| BRCA gene mutation | 0.586537 |
| high risk | 0.561274 |
| radiation therapy | 0.549276 |
| hormone replacement therapy | 0.587245 |
| new cases | 0.554415 |
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| genetic counselor | 0.545397 |
| mammograms | 0.510368 |
| United States | 0.554344 |
| screening tests | 0.547235 |
| motivation | 0.509542 |
| changes | 0.526073 |
| video | 0.517744 |
| breast cancers | 0.673734 |
| dense breasts | 0.558563 |
| genetic counseling | 0.547089 |
| Breast cancer survivor | 0.690763 |
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| high risk. | 0.546303 |
| mammogram | 0.512778 |
| higher risk | 0.599715 |
| blog post | 0.548344 |
| breast cancer | 0.963904 |
| breast milk | 0.651049 |
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| nipple discharge | 0.552908 |
| younger age | 0.553858 |
| physical activity | 0.550085 |
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| family history | 0.652703 |
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Centers for Disease Control and Prevention |
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CDC A-Z Index - N |
CDC A-Z Index |
| Public Health Improvement | 0.652605 |
| Nipah Virus Infection | 0.686503 |
| National Health Interview | 0.749887 |
| National Hospital Discharge | 0.626762 |
| Search Form Controls | 0.683661 |
| Comprehensive Cancer Control | 0.635281 |
| National Electronic Disease | 0.737462 |
| National Public Health | 0.740481 |
| National Notifiable Diseases | 0.733585 |
| Health Improvement Initiative | 0.647528 |
| National Health Statistics | 0.748722 |
| National Comprehensive Cancer | 0.654415 |
| Substance Incidents Program | 0.648305 |
| Surveillance Program | 0.593867 |
| A-Z Index | 0.940917 |
| National Nursing Home | 0.72759 |
| National Amyotrophic Lateral | 0.630953 |
| National Healthcare Safety | 0.73167 |
| National Breast | 0.614836 |
| National Home | 0.618883 |
| National Influenza Vaccination | 0.737537 |
| National Syndromic Surveillance | 0.66207 |
| Nutrition Examination Survey | 0.659663 |
| National Outbreak | 0.621119 |
|
| Cancer Early Detection | 0.66115 |
| New Vaccine Surveillance | 0.682127 |
| Early Detection Program | 0.668838 |
| NNDSS Modernization Initiative | 0.615006 |
| Notifiable Diseases Surveillance | 0.698498 |
| Vaccine Surveillance Network | 0.68042 |
| Health Interview Survey | 0.681802 |
| Toxic Substance Incidents | 0.629666 |
| Enteric Virus Surveillance | 0.688924 |
| National Health Report | 0.66235 |
| National Vital Statistics | 0.624782 |
| National Program | 0.596265 |
| National Respiratory | 0.60901 |
| Electronic Disease Surveillance | 0.701435 |
| National Health | 0.803694 |
| Cancer Control Program | 0.678666 |
| Hospice Care Survey | 0.658301 |
| NIOSH Pocket Guide | 0.648496 |
| Nursing Home Survey | 0.660632 |
| National Toxic Substance | 0.710966 |
| Health Statistics Reports | 0.665937 |
| Healthcare Safety Network | 0.649953 |
| CDC A-Z Index | 0.709533 |
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Centers for Disease Control and Prevention |
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Endosulfan - NIOSH Pocket Guide to Chemical Hazards |
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| 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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| 6127 |
Centers for Disease Control and Prevention |
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NIOSH Fast Facts: Protecting Yourself from Stinging Insects (2010-117) |
null |
| medical ID jewelry | 0.813455 |
| ice | 0.42562 |
| areas | 0.424187 |
| body | 0.423413 |
| shampoos | 0.430261 |
| animal carcasses | 0.522027 |
| venom | 0.457474 |
| wasps | 0.427711 |
| Wash | 0.424148 |
| ants bite | 0.676261 |
| single stinging insect | 0.707086 |
| bees | 0.485898 |
| Remain | 0.424318 |
| severe chest pain | 0.636799 |
| immediate medical attention | 0.608729 |
| allergy | 0.448383 |
| history | 0.445224 |
| swelling | 0.44398 |
| water | 0.44685 |
| hornets | 0.426547 |
| stinging insects | 0.592221 |
| Outdoor workers | 0.538208 |
| nausea | 0.425296 |
| chemical | 0.423044 |
| pustules | 0.444556 |
|
| mild discomfort | 0.549898 |
| ant mounds | 0.524955 |
| death | 0.425624 |
| immediate medical care | 0.654679 |
| smooth-finished clothing | 0.529226 |
| Wear clothing | 0.521587 |
| flowering plants | 0.532607 |
| burning sensation | 0.650706 |
| perfumed soaps | 0.542108 |
| Rub | 0.426893 |
| jaws | 0.423536 |
| stings | 0.505795 |
| severe sweating | 0.547702 |
| Red bumps | 0.648758 |
| Tuck pants | 0.516933 |
| severe allergic reactions | 0.942142 |
| Wear clean clothing | 0.624229 |
| bites | 0.450794 |
| food | 0.424058 |
| stay | 0.42422 |
| site | 0.424197 |
| epinephrine autoinjector | 0.660097 |
| stinging insect | 0.730226 |
| risk | 0.452345 |
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Centers for Disease Control and Prevention |
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Influenza Outbreak Management in Long-Term Care Facilities |
Interim Guidance for Influenza Outbreak Management in Long-Term Care Facilities - CDC |
| antiviral-resistant influenza virus | 0.441633 |
| antiviral drug-resistant influenza | 0.511594 |
| influenza antiviral drugs | 0.571576 |
| influenza virus vaccine | 0.449884 |
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| residents influenza | 0.481546 |
| Rapid Influenza Diagnostic | 0.427927 |
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| antiviral resistant influenza | 0.514117 |
| health care personnel | 0.529657 |
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| influenza vaccine | 0.546051 |
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| influenza virus | 0.610928 |
|
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| influenza outbreaks | 0.553547 |
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| influenza vaccination program | 0.512725 |
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| CDC. Influenza vaccination | 0.448465 |
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| health care | 0.729023 |
| influenza case | 0.440531 |
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| J. Influenza vaccination | 0.448847 |
| long-term care facilities | 0.532656 |
| influenza vaccination | 0.797859 |
| antiviral chemoprophylaxis | 0.462943 |
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| rapid influenza | 0.487769 |
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| 6706 |
Centers for Disease Control and Prevention |
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Flavorings-Related Lung Disease: Current NIOSH Research |
A resource for findings and recommendations to reduce the risk of severe obstructive lung disease (bronchiolitis obliterans) associated with occupational exposures to flavorings. |
| low detection limits | 0.569782 |
| restrictive spirometry excesses | 0.562687 |
| toxicological data | 0.435249 |
| airway epithelium | 0.438573 |
| exposure assessment | 0.912647 |
| lung disease | 0.519152 |
| helium diffusion | 0.434429 |
| NIOSH laboratory researchers | 0.593279 |
| down-stream users | 0.436666 |
| water extracts | 0.43304 |
| baked goods | 0.560612 |
| hazard evaluation data | 0.524584 |
| acute inhalation toxicity | 0.523434 |
| maximum volume | 0.435651 |
| broad range | 0.436699 |
| important information | 0.427859 |
| food flavorings | 0.570555 |
| pump-free sampling | 0.488308 |
| wide variety | 0.437138 |
| restrictive spirometric abnormalities | 0.544756 |
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| airborne dusts | 0.57154 |
| GC-MS analysis | 0.462282 |
| air samples | 0.433687 |
| large portion | 0.42987 |
|
| volatile organic compounds | 0.606232 |
| single sample | 0.435436 |
| NIOSH respirator researchers | 0.593782 |
| flavoring environments | 0.617018 |
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| analytical method | 0.448943 |
| engineering controls | 0.427859 |
| alpha dicarbonyl compounds | 0.634526 |
| potential exposure | 0.505339 |
| industrywide exposure assessment | 0.859309 |
| Risk assessors | 0.428466 |
| workplace exposures | 0.443349 |
| clinical obliterative bronchiolitis | 0.531884 |
| Data analysis | 0.447562 |
| gas chromatography-mass spectrometry | 0.551599 |
| exposure assessment study | 0.822158 |
| diacetyl | 0.467964 |
| filter sampling | 0.487956 |
| harmful flavoring chemicals | 0.684749 |
| occupational exposures | 0.442867 |
| recent toxicological evidence | 0.580233 |
| vapor phase | 0.429484 |
| work practices | 0.42874 |
| snack foods | 0.555599 |
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Pertussis | Whooping Cough | Clinical | Treatment | CDC |
Clinical Treatment of Pertussis |
| runny nose | 0.431339 |
| paroxysms | 0.350006 |
| pertussis | 0.93043 |
| pregnant women | 0.42059 |
| antimicrobial agents | 0.427754 |
| post exposure | 0.410895 |
| high-risk settings | 0.419844 |
| QT interval | 0.414538 |
| infants | 0.498727 |
| clinical history | 0.427608 |
| chemoprophylaxis | 0.346006 |
| azithromycin | 0.46775 |
| Early treatment | 0.433207 |
| hypertrophic pyloric stenosis | 0.521896 |
| Elderly patients | 0.40635 |
| alternative drug | 0.405049 |
| symptoms | 0.350057 |
| cough onset | 0.527983 |
| persons | 0.455532 |
| low-grade fever | 0.431305 |
| high risk | 0.499048 |
| fatal irregular heart | 0.505054 |
| antibiotics | 0.385744 |
| IHPS | 0.358719 |
|
| treatment | 0.650205 |
| effective antimicrobial treatment | 0.538226 |
| catarrhal stage | 0.433207 |
| Drug Administration | 0.411262 |
| severe pertussis | 0.764597 |
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| Clinicians | 0.432204 |
| abnormal changes | 0.416171 |
| erythromycin | 0.367255 |
| reasonable guideline | 0.42396 |
| close contact | 0.416272 |
| course | 0.416252 |
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| arrhythmogenic drugs | 0.414763 |
| illness | 0.387303 |
| macrolide | 0.356943 |
| young infants | 0.470892 |
| cardiovascular disease | 0.407201 |
| electrical activity | 0.415533 |
| cardiac disease | 0.406644 |
| adverse events | 0.412551 |
| clarithromycin | 0.365667 |
| potential risk | 0.409054 |
| treatment schedule | 0.423826 |
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Centers for Disease Control and Prevention |
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Only 3 in 10 Americans with HIV have virus in check |
Most people who drink excessively are not alcohol dependent |
| National HIV/AIDS Strategy | 0.518994 |
| new HIV infections | 0.651524 |
| CDC’s National | 0.477915 |
| high impact strategies | 0.525491 |
| health outcomes | 0.468126 |
| viral load | 0.494236 |
| Disease Control | 0.482866 |
| Jonathan Mermin | 0.470498 |
| ongoing care | 0.588454 |
| HIV-related health disparities | 0.528845 |
| low levels | 0.475787 |
| viral suppression | 0.784062 |
| cell count | 0.472544 |
| new study | 0.541465 |
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| CDC Director Tom | 0.544758 |
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| CDC’s Division | 0.474015 |
| health care facilities | 0.549751 |
| highest risk | 0.466684 |
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|
| treatment | 0.509819 |
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| HIV epidemic | 0.68592 |
| antiretroviral medication | 0.475215 |
| young people | 0.474464 |
| percent | 0.70562 |
| virus | 0.476993 |
| U.S. clinical guidelines | 0.535176 |
| new study estimates | 0.533948 |
| public awareness campaigns | 0.520987 |
| risk reduction information | 0.523179 |
| health departments | 0.467276 |
| approximately two-thirds | 0.482719 |
| Tuberculosis Prevention | 0.468715 |
| HIV incidence | 0.586802 |
| sexual transmission | 0.471017 |
| important strategies | 0.467435 |
| HIV testing simple | 0.647926 |
| people | 0.571846 |
| medical care | 0.486241 |
| HIV | 0.96085 |
| statistically significant differences | 0.519164 |
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| HIV testing. | 0.628006 |
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| 13235 |
Centers for Disease Control and Prevention |
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Announcement: American Stroke Month and National High BloodPressure Education Month - May 2015 |
May 2015 is American Stroke Month and National High Blood Pressure Education Month. American Stroke Month raises awareness of the signs and symptoms of stroke and encourages persons to act F.A. |
| silent killer | 0.226778 |
| heart attacks | 0.246327 |
| major risk factors | 0.357915 |
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| Human Services | 0.320104 |
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| U.S. Department | 0.316877 |
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| MMWR readers | 0.231319 |
| character translation | 0.221243 |
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| heart disease | 0.474418 |
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| electronic PDF version | 0.335873 |
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| Benjamin EJ | 0.23306 |
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| Contact GPO | 0.24681 |
| typeset documents | 0.226325 |
| trade names | 0.225998 |
| commercial sources | 0.225924 |
| electronic health records | 0.356106 |
| official text | 0.226433 |
| stroke | 0.604498 |
| National High Blood | 0.617009 |
| American Stroke | 0.522944 |
| Blood Pressure Education | 0.618618 |
| American Heart Association | 0.352026 |
| current prices | 0.224253 |
| non-CDC sites | 0.224804 |
| team-based care approach | 0.352592 |
| high blood pressure | 0.932444 |
| cardiovascular disease risks | 0.35728 |
| original paper copy | 0.326209 |
| Speech difficulty | 0.24882 |
| electronic conversions | 0.220819 |
| physical inactivity | 0.245557 |
| lower-sodium diet | 0.232092 |
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| 14053 |
Centers for Disease Control and Prevention |
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A Qualitative Approach to Understanding Real-World Electronic Cigarette Use |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| Austin Regional Campus | 0.733537 |
| e-cigarette product constituents | 0.773351 |
| e-cigarette tank | 0.746401 |
| Tobacco Control Act | 0.750955 |
| conventional cigarettes | 0.794653 |
| liquid nicotine solutions | 0.765072 |
| nicotine levels | 0.866831 |
| e-liquid nicotine concentration | 0.789221 |
| e-cigarette flavorings | 0.725543 |
| appropriate survey metrics | 0.758125 |
| nicotine products | 0.726698 |
| nicotine concentration levels | 0.767471 |
| e-cigarette product characteristics | 0.748357 |
| real-world e-cigarette | 0.73518 |
| e-cigarette use patterns | 0.728498 |
| different nicotine levels | 0.839823 |
| open-system e-cigarette | 0.761927 |
| open-system e-cigarettes | 0.755097 |
| users | 0.949529 |
| closed-system products | 0.791022 |
| current e-cigarette products | 0.77999 |
| tobacco products | 0.77967 |
| flavors e-cigarette users | 0.781359 |
| lead investigator | 0.831786 |
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| smoking cessation | 0.779442 |
| Nicotine Tob Res | 0.743369 |
| current adult users | 0.737847 |
| adult e-cigarette users | 0.77008 |
| Thematic content analysis | 0.775956 |
| Family Smoking Prevention | 0.747546 |
| study | 0.775664 |
| electronic cigarette | 0.727027 |
| local vape | 0.739007 |
| qualitative data | 0.738503 |
| e-cigarette device | 0.737125 |
| nicotine delivery | 0.746803 |
| specific nicotine concentration | 0.747922 |
| e-cigarette refill solutions | 0.752077 |
| e-cigarette surveillance | 0.737982 |
| high nicotine concentrations | 0.810459 |
| e-cigarette flavors | 0.743307 |
| participants | 0.731552 |
| e-cigarette products | 0.88365 |
| e-cigarette users | 0.794242 |
| common nicotine levels | 0.769751 |
| semistructured individual interviews | 0.783674 |
| e-cigarettes | 0.897495 |
| nicotine concentrations | 0.902933 |
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