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Centers for Disease Control and Prevention |
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Smoke-Free Policies Receive Public Support - Smoking & Tobacco Use |
Secondhand Smoke Fact Sheets. |
| Tobacco Smoke | 0.50693 |
| national comprehensive smokefree | 0.795356 |
| smokefree laws | 0.644668 |
| Statewide Smoke-Free Law | 0.5499 |
| attitudes | 0.479211 |
| York State Department | 0.577814 |
| Human Services | 0.505994 |
| U.S. Department | 0.501059 |
| Smoke-Free Laws | 0.483382 |
| Scotland/UK Longitudinal Surveys.European | 0.492118 |
| Health Promotion | 0.496401 |
| u.s. adults | 0.508615 |
| ITC Ireland/UK Survey | 0.493096 |
| statewide smokefree law | 0.771906 |
| local smokefree law | 0.66557 |
| Smokefree Legislation | 0.574201 |
| secondhand smoke | 0.47002 |
| strong public support | 0.523564 |
| smokefree bars/pubs | 0.591888 |
| Smoke-Free Bar Law | 0.548278 |
| Smoke-Free Bars | 0.500496 |
| New York State | 0.76349 |
| BMC Public Health | 0.515007 |
| Young Adults Change | 0.495535 |
| smokefree workplaces | 0.682034 |
|
| New Zealand | 0.504635 |
| tobacco products | 0.47807 |
| State Adult Tobacco | 0.521567 |
| young adults | 0.503338 |
| brief exposure | 0.465552 |
| indoor areas | 0.802546 |
| smokefree restaurants | 0.625506 |
| effect | 0.470171 |
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| Public Health | 0.560844 |
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| Health Consequences | 0.467117 |
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| smokefree law | 0.946722 |
| Smoke-Free Workplaces | 0.526967 |
| smoking | 0.505512 |
| Adult Tobacco Survey | 0.711555 |
| Public Health Reports | 0.513062 |
| Chronic Disease Prevention | 0.494335 |
| Fong GT | 0.490726 |
| National Adult Tobacco | 0.609149 |
| involuntary exposure | 0.519434 |
| Tobacco Smoke Pollution | 0.504669 |
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Centers for Disease Control and Prevention |
Html |
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2-Pentanone - NIOSH Pocket Guide to Chemical Hazards |
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| 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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Ovarian Cancer Treatment |
Ovarian cancer is treated in several ways. It depends on the kind of ovarian cancer and how far it has spread. |
| pills | 0.443513 |
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| woman | 0.476205 |
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| body | 0.433046 |
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| operations | 0.434887 |
| fallopian tube | 0.619971 |
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| National Cancer Institute | 0.714924 |
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| ovarian cancer | 0.926032 |
| Different treatments | 0.566908 |
| drugs | 0.477917 |
|
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| Talk | 0.431799 |
| people | 0.432429 |
| opinion | 0.465641 |
| veins | 0.440939 |
| new treatment options | 0.699907 |
| effects | 0.460238 |
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| NCI | 0.436928 |
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| medical team | 0.575067 |
| information | 0.469854 |
| ovarian cancer treatment | 0.747087 |
| operation | 0.435678 |
| treatment plan | 0.595432 |
| surgery | 0.569168 |
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Centers for Disease Control and Prevention |
Html |
en |
Selected References | Condom Effectiveness |
Condom Effectivenss References |
| genital secretions | 0.404343 |
| STD | 0.246613 |
| condom wearer | 0.200252 |
| vaginal secretions | 0.231782 |
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| protection | 0.223906 |
| genital HPV | 0.210082 |
| genital warts | 0.265982 |
| infected genital skin | 0.224192 |
| essentially impermeable barrier | 0.394543 |
| transmission | 0.29692 |
| fact sheet | 0.216686 |
| mucosal surfaces | 0.213362 |
| HPV-associated diseases | 0.205668 |
| theoretical basis | 0.250019 |
| condom effectiveness | 0.338696 |
| laboratory studies | 0.317588 |
| genital human papillomavirus | 0.233164 |
| sexual transmission | 0.268152 |
|
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| female genital areas | 0.274068 |
| male condom effectiveness | 0.237361 |
| genital ulcer diseases | 0.767885 |
| genital herpes | 0.261856 |
| cervical cancer | 0.274846 |
| sexually transmitted diseases | 0.261533 |
| HPV infection | 0.254601 |
| condom effectiveness address | 0.228401 |
| infected skin | 0.214888 |
| protective effect | 0.305024 |
| STDs | 0.369435 |
| condom users | 0.265665 |
| male latex condoms | 0.304673 |
| risk | 0.263859 |
| STD pathogens | 0.220363 |
| HIV infection | 0.377437 |
| male latex condom | 0.262955 |
|
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| 12272 |
Centers for Disease Control and Prevention |
Html |
en |
Shapona, the Yoruba god of smallpox |
CDC Centers for Disease Control and Prevention David J. Sencer CDC Museum |
| Yoruba god | 0.357505 |
| specific priests | 0.315773 |
| Smallpox Eradication Program | 0.906537 |
| western nigeria | 0.421819 |
| various kingdoms | 0.299557 |
| deliberately spreading smallpox | 0.723096 |
| supreme god | 0.297882 |
| Inter-regional Seminar | 0.31003 |
| cultural challenges | 0.270018 |
| CDC Museum collection | 0.504279 |
| J. Sencer CDC | 0.564502 |
| George Lythcott | 0.273639 |
| Don Millar | 0.278731 |
| authentic Soponna | 0.269969 |
| divine displeasure | 0.302898 |
| meaningful objects | 0.301192 |
| Babaligbo cult | 0.269131 |
|
| smallpox outbreaks | 0.575116 |
| World Health Organization | 0.425076 |
| Ilze Henderson | 0.289541 |
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| Yoruba legend | 0.319655 |
| cowrie shells | 0.322041 |
| British colonial rulers | 0.436175 |
| grains men | 0.305806 |
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| Eradication Program personnel | 0.46288 |
| great import | 0.267788 |
| international effort | 0.317503 |
| carved wooden figure | 0.452858 |
| cultural resistance | 0.274685 |
| CDC Museum | 0.537443 |
| monkey skulls | 0.300347 |
| iconic object | 0.330148 |
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Centers for Disease Control and Prevention |
Html |
en |
Heart Disease Quiz | cdc.gov |
Test your knowledge about heart disease and heart health with this interactive quiz. CDC is the leading health protection agency in the U.S. |
| common type | 0.455327 |
| upper abdomen | 0.451322 |
| major risk factors | 0.514711 |
| American adults | 0.493995 |
| Stroke Statistics—2015 Update | 0.485392 |
| uncontrolled hypertension | 0.450859 |
| Kochanek KD | 0.448159 |
| unexplained tiredness | 0.451133 |
| unhealthy diet | 0.455455 |
| healthy choices | 0.446223 |
| health care team | 0.487522 |
| high cholesterol | 0.507701 |
| medical condition | 0.459832 |
| Murphy SL | 0.445345 |
| National Center | 0.446962 |
| blood pressure | 0.557867 |
| risk factors | 0.60907 |
| NCHS data brief | 0.489495 |
| CDC. Vital signs | 0.489021 |
| Americans | 0.427827 |
| CAD | 0.415533 |
| American Heart Association | 0.513939 |
| symptoms | 0.417759 |
| Quit resources | 0.448333 |
| Health care professionals | 0.499884 |
|
| Arias E. Mortality | 0.487766 |
| Family members share | 0.490676 |
| heart attacks | 0.478938 |
| heart attack | 0.739417 |
| traits | 0.424517 |
| heart disease—high blood | 0.526765 |
| United States | 0.502253 |
| smoking tobacco | 0.501108 |
| lower your risk | 0.456886 |
| unhealthy lifestyle choices | 0.493607 |
| n’t start | 0.447927 |
| Health Statistics. | 0.447488 |
| heart disease | 0.947534 |
| Blaha MJ | 0.452906 |
| Arnett DK | 0.450825 |
| Benjamin EJ | 0.448915 |
| warning signs | 0.497704 |
| ANSWER | 0.4238 |
| quick questions | 0.459407 |
| Coronary artery disease | 0.522193 |
| people | 0.427029 |
| better chance | 0.45053 |
| high blood pressure | 0.499505 |
| et al | 0.446962 |
|
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Centers for Disease Control and Prevention |
Html |
en |
Marleah's Story |
The story of Marleah, a 27-year-old woman with a family history of breast cancer. |
| average risk | 0.483671 |
| skin cancer | 0.485215 |
| personal experience | 0.47505 |
| career | 0.431939 |
| Cancer Empowered | 0.48969 |
| mom | 0.415537 |
| BRCA1 | 0.414924 |
| advocate | 0.435219 |
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| alcohol intake | 0.478454 |
| maternal grandmother | 0.491119 |
| good journey | 0.490776 |
| results | 0.414795 |
| Marleah | 0.678221 |
| breast cancer treatment | 0.607134 |
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| dermatologist | 0.417233 |
| genes | 0.414273 |
| young age runs | 0.569838 |
| melanoma | 0.415903 |
| volunteers | 0.414002 |
| Florida | 0.413969 |
| BRCA2 mutation | 0.500488 |
| breast cancer. | 0.54436 |
|
| FORCE | 0.413966 |
| BRCA gene mutation | 0.585902 |
| high risk | 0.621329 |
| women | 0.41433 |
| motivation | 0.416572 |
| changes | 0.414968 |
| BRCA2 gene mutations | 0.554514 |
| healthy lifestyle choices | 0.540781 |
| BRCA2 gene mutation.BRCA | 0.561757 |
| aunt | 0.417876 |
| BReast CAncer gene | 0.641547 |
| ovarian cancer risk | 0.561422 |
| assistant professor | 0.477744 |
| higher risk | 0.541856 |
| breast cancer risk | 0.633008 |
| outdoor activities | 0.480762 |
| breast cancer | 0.973335 |
| healthy weight | 0.477315 |
| emotional journey | 0.488767 |
| health communications | 0.479152 |
| current research | 0.478967 |
| previvors.A person | 0.475363 |
| family history | 0.57073 |
| genetic testing | 0.48447 |
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Centers for Disease Control and Prevention |
Html |
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Cost Savings - Fact Sheets - Community Water Fluoridation - Oral Health |
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| 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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| 14095 |
Centers for Disease Control and Prevention |
Html |
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Announcement: Fifty Years of Global Immunization at CDC -1966-2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| CDC Director | 0.592555 |
| healthy persons | 0.347786 |
| HTML versions | 0.339429 |
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| cancer deaths | 0.358024 |
| 50th anniversary | 0.356905 |
| U.S. Department | 0.477743 |
| VPD deaths | 0.366838 |
| early 1960s | 0.371292 |
| electronic PDF version | 0.463794 |
| CDC Smallpox Eradication | 0.96082 |
| CDC staff members | 0.701948 |
| World Health Organization | 0.514426 |
| measles vaccination campaigns | 0.534789 |
| MMWR articles | 0.34712 |
| VPD importation | 0.365129 |
| commercial sources | 0.346755 |
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| health challenges | 0.381875 |
| major focus | 0.3525 |
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| chronic disease | 0.342576 |
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| evidence-based guidance | 0.344308 |
|
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| VPD outbreaks | 0.360424 |
| Smallpox Eradication Program | 0.974765 |
| White House press | 0.516425 |
| United States | 0.514603 |
| polio eradication | 0.487336 |
| original MMWR paper | 0.471309 |
| Global Health Security | 0.496137 |
| U.S. government | 0.37697 |
| MMWR readers | 0.35254 |
| character translation | 0.337771 |
| global smallpox eradication | 0.856755 |
| strong agency-wide commitment | 0.530342 |
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| CDC’s Smallpox | 0.736642 |
| final proofs | 0.340983 |
| trade names | 0.346864 |
| official text | 0.342873 |
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| West Africa | 0.3715 |
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Vital Signs: Trends in HIV Diagnoses, Risk Behaviors, andPrevention Among Persons Who Inject Drugs - United States |MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| injection drug | 0.565193 |
| black pwid | 0.535338 |
| PWID | 0.999076 |
| syringe sharing | 0.717025 |
| U.S. cities | 0.530685 |
| HIV prevention | 0.547222 |
| behavioral surveillance data | 0.574848 |
| annual HIV diagnoses | 0.522074 |
| National HIV Surveillance | 0.595369 |
| blacks | 0.545575 |
| negative health outcomes | 0.53149 |
| New York City | 0.524341 |
| whites | 0.521974 |
| white new PWID | 0.516188 |
| HIV infections | 0.542486 |
| respondent-driven sampling | 0.50655 |
| high HIV prevalences | 0.497126 |
| HIV diagnoses | 0.622494 |
| comprehensive prevention services | 0.497017 |
| PWID access prevention | 0.499202 |
| white PWID | 0.628122 |
| hepatitis C virus | 0.496556 |
| self-reported hcv prevalence | 0.506819 |
| target sample size | 0.533049 |
|
| rural areas | 0.489494 |
| HIV Behavioral Surveillance | 0.692419 |
| New York | 0.557665 |
| sterile sources | 0.76284 |
| cities | 0.576682 |
| drugs | 0.578459 |
| SSPs | 0.547806 |
| drug use–related HIV | 0.502933 |
| Hispanic/Latino PWID | 0.492939 |
| HIV outbreaks | 0.497954 |
| urban areas | 0.525537 |
| National HIV Behavioral | 0.697447 |
| new white PWID | 0.514379 |
| HIV | 0.895756 |
| continuous age | 0.49355 |
| syringes | 0.731047 |
| human immunodeficiency virus | 0.686007 |
| sterile syringes | 0.579237 |
| syringe services program | 0.567773 |
| HCV | 0.528324 |
| new pwid | 0.829036 |
| HIV infection | 0.517831 |
| Hispanics | 0.528625 |
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