| 1195 |
Centers for Disease Control and Prevention |
Html |
en |
Cancer and Men Feature |
Every year, cancer claims the lives of nearly 300,000 men in the United States. Men can lower their risk for some of the most common kinds of cancer. |
| skin cancer | 0.601926 |
| United States | 0.574246 |
| tanning devices | 0.270285 |
| lower your risk | 0.249448 |
| Lung cancer screening | 0.570163 |
| alcohol consumption | 0.258126 |
| certain people | 0.279103 |
| lung cancer | 0.76066 |
| cigarette smoking | 0.308066 |
| genital warts | 0.275937 |
| easy sun safety | 0.47959 |
| healthy choices | 0.259915 |
| common cancer | 0.298345 |
| men | 0.331728 |
| immune systems | 0.25953 |
|
| teenage boys | 0.25113 |
| secondhand smoke | 0.329326 |
| colorectal cancer | 0.791928 |
| visit www.cdc.gov/quit | 0.286304 |
| anal cancer | 0.304228 |
| common kinds | 0.24765 |
| prostate cancer | 0.429342 |
| FREE support | 0.292575 |
| health problems | 0.256901 |
| regular physical activity | 0.481204 |
| human papillomavirus | 0.28138 |
| high risk | 0.271678 |
| cancer | 0.97798 |
| prostate cancers | 0.28822 |
|
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| 4588 |
Centers for Disease Control and Prevention |
Html |
en |
FluAid Special Edition: Questions & Answers |
null |
| CDC Web site | 0.391019 |
| data | 0.370742 |
| public health interventions | 0.398483 |
| pandemic | 0.517532 |
| health outcomes | 0.386549 |
| outpatient visits | 0.546192 |
| Disease Control | 0.354785 |
| similar age | 0.351749 |
| HHS Pandemic Influenza | 0.51173 |
| estimates | 0.442334 |
| high-risk conditions | 0.350514 |
| chronic medical conditions | 0.448951 |
| specific age groups | 0.383941 |
| Health Interview Survey | 0.391016 |
| age groups | 0.417239 |
| software programs | 0.353476 |
| chronic medical conditions* | 0.387472 |
| probable total number | 0.41118 |
| FluAid Special Edition—that | 0.416403 |
| H1N1 pandemic | 0.416329 |
| 2009 pandemic | 0.40194 |
| high risk | 0.384205 |
| PM ET | 0.35522 |
| 1968 pandemic | 0.413115 |
|
| 1968-type pandemic | 0.412563 |
| FluAid Special Edition | 0.926805 |
| public health planners | 0.398622 |
| age groupings | 0.348868 |
| influenza pandemic plan | 0.50985 |
| probable range | 0.360731 |
| severe attack rate | 0.374728 |
| pre-existing medical conditions | 0.397316 |
| health outcome rates | 0.379441 |
| potential impact | 0.541541 |
| state-specific plan | 0.35574 |
| probable impact | 0.385816 |
| influenza season | 0.471275 |
| attack rate | 0.384777 |
| cases | 0.356231 |
| H1N1 influenza | 0.391806 |
| H1N1 flu pandemic | 0.512728 |
| 1918-type pandemic | 0.411779 |
| http://www.cdc.gov/flu/tools/fluaid/) contains | 0.351288 |
| pre-existing chronic | 0.390474 |
| most-likely number | 0.349244 |
| various gross attack | 0.37983 |
| probable number | 0.399552 |
| H1N1 flu outbreak | 0.394702 |
|
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| 5065 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Monday, October 05, 2009 |
null |
| preterm birth | 0.490627 |
| endorsement | 0.472626 |
| HSV-2 infection | 0.488811 |
| current awareness | 0.480293 |
| findings | 0.428035 |
| farmworkers | 0.420112 |
| STD clinics | 0.488498 |
| Disease Control | 0.479335 |
| CDC Knowledge | 0.657728 |
| Action Science Clips | 0.994385 |
| factual accuracy | 0.480201 |
| time-series analysis | 0.488929 |
| SAFETY PRO | 0.481715 |
| Engl J Med. | 0.497577 |
| Chief Science Officer | 0.578677 |
| tuberculosis | 0.416393 |
| article | 0.422201 |
| DHHS | 0.50849 |
| economic factors | 0.478951 |
| DISCLAIMER | 0.418303 |
| public domain | 0.495686 |
| Stephen B. Thacker | 0.736201 |
| Chlamydia prevalence | 0.493505 |
| international summer school | 0.552869 |
| items | 0.434963 |
|
| Sep | 0.41783 |
| United States | 0.484821 |
| methods | 0.425877 |
| user evaluation | 0.483249 |
| pandemic influenza | 0.799893 |
| National Job Training | 0.556212 |
| Occupational health | 0.480443 |
| omission | 0.419246 |
| views | 0.425396 |
| chronic viral hepatitis | 0.559292 |
| implications | 0.432784 |
| informational purposes | 0.473669 |
| Pandemic influenza planning | 0.638086 |
| public health literature | 0.546951 |
| permission | 0.416833 |
| B. Thacker CDC | 0.835697 |
| original authors | 0.48033 |
| opinion | 0.422237 |
| non-CDC Websites | 0.479095 |
| original sources | 0.491788 |
| service | 0.415653 |
| news sources | 0.48066 |
| HIV infection | 0.489472 |
| Thacker CDC Library | 0.835571 |
|
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| 7594 |
Centers for Disease Control and Prevention |
Html |
en |
TB Fact Sheets - Testing for Tuberculosis (TB) |
Centers for Disease Control and Prevention, Division of Tuberculosis Elimination |
| latent TB infection | 0.729206 |
| previous TST | 0.238446 |
| United States | 0.246865 |
| TST work | 0.214627 |
| health care provider | 0.328564 |
| TB disease | 0.82879 |
| positive TST result | 0.238055 |
| positive tst | 0.275554 |
| TB infection testing | 0.340006 |
| BCG shot | 0.202863 |
| TB bacteria | 0.92892 |
| health care | 0.410242 |
| IGRA test instructions | 0.207942 |
| TB test | 0.305704 |
|
| health care worker | 0.338065 |
| TB vaccine | 0.321853 |
| positive igra | 0.203609 |
| people | 0.239132 |
| tuberculin skin test | 0.216251 |
| Negative TST | 0.205496 |
| IGRA | 0.25405 |
| additional tests | 0.202877 |
| TST | 0.383496 |
| positive IGRA result | 0.202185 |
| person | 0.38174 |
| TB coughs | 0.345678 |
| TB blood tests | 0.358591 |
|
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| 8473 |
Centers for Disease Control and Prevention |
Html |
en |
Hispanics/Latinos - For Specific Groups - Tips From Former Smokers - Smoking & Tobacco Use |
Smoking-related statistics, information, and quitting resources specific to the Hispanic/Latino community. Part of the Tips from Former Smokers campaign, which features real people suffering as a result of smoking and exposure to secondhand smoke. |
| Medicaid enrollees | 0.645047 |
| health plans | 0.603174 |
| Quit Guide | 0.688964 |
| exfumadores | 0.435735 |
| lung cancer | 0.612266 |
| —the | 0.454389 |
| teeth | 0.628406 |
| Latino heritage | 0.654662 |
| area | 0.465328 |
| gums | 0.515887 |
| Mariano | 0.510838 |
| quit plan | 0.684736 |
| Florida | 0.439217 |
| Beatrice | 0.508382 |
| State Medicaid programs | 0.775578 |
| Illinois | 0.440362 |
| Texas | 0.438435 |
| cigarettes | 0.444987 |
| open heart surgery | 0.80263 |
| Quitline coaches | 0.60563 |
| page | 0.435395 |
| women | 0.44301 |
| heart attack | 0.613181 |
| death | 0.443271 |
| United States | 0.647389 |
|
| Felicita | 0.513865 |
| face-to-face counseling sessions | 0.790663 |
| adults | 0.443432 |
| Rose | 0.465655 |
| dejar | 0.436012 |
| life | 0.438777 |
| quit-smoking treatments | 0.827539 |
| additional Quitting Resources | 0.810377 |
| heart disease | 0.649689 |
| causes | 0.443294 |
| coverage | 0.436047 |
| New York | 0.63487 |
| Consejos | 0.435755 |
| chance | 0.436085 |
| Medicare | 0.437362 |
| brain | 0.437328 |
| Hispanics/Latinos | 0.479088 |
| Real Stories section | 0.78949 |
| Cigarette smoking increases | 0.982683 |
| ¡Estoy listo para | 0.818198 |
| Tips Spanish site | 0.774089 |
| Tips participants | 0.604466 |
| risk | 0.443425 |
| family | 0.440878 |
|
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| 9513 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field: Acetyl Fentanyl Overdose Fatalities -Rhode Island, March-May 2013 |
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. |
| opioid-induced respiratory depression | 0.373709 |
| time series analysis | 0.372517 |
| Medical Examiners database | 0.38365 |
| original MMWR paper | 0.376377 |
| U.S. Government Printing | 0.374384 |
| Human Services | 0.37572 |
| acetyl fentanyl | 0.972479 |
| fentanyl analogs | 0.538863 |
| U.S. Department | 0.376648 |
| MMWR HTML versions | 0.373228 |
| confirmatory testing | 0.380614 |
| acetyl fentanyl overdose | 0.744467 |
| additional acetyl fentanyl | 0.615532 |
| Human Health Sciences | 0.386031 |
| electronic PDF version | 0.373945 |
| acetyl fentanyl deaths | 0.742847 |
| illicit opioid-related overdoses | 0.397477 |
| overdose deaths | 0.862331 |
| overdose education | 0.396852 |
| Rhode Island Office | 0.458643 |
| Opioid overdose rates | 0.454368 |
| fentanyl overdose deaths | 0.786872 |
| state health laboratories | 0.540395 |
| illicit drug | 0.508194 |
|
| acetyl fentanyl decedents | 0.635142 |
| drug overdose deaths | 0.513177 |
| acetyl fentanyl administration | 0.609325 |
| Rhode Island | 0.588997 |
| confirmatory gas chromatography/mass | 0.390237 |
| fentanyl analog | 0.562415 |
| toxicology results | 0.493964 |
| GC/MS toxicology results | 0.414148 |
| Island public health | 0.403669 |
| public health officials | 0.459445 |
| illicit drug users | 0.418278 |
| field investigation | 0.433482 |
| opioid-related overdose deaths | 0.491632 |
| Matthew Lozier | 0.373793 |
| opioid-overdose prevention services | 0.375701 |
| nasal naloxone distribution | 0.376037 |
| northern Rhode Island | 0.396643 |
| Island State Health | 0.467948 |
| original paper copy | 0.370597 |
| enzyme-linked immunosorbent assay | 0.388136 |
| Rhode Island State | 0.466786 |
| ELISA test | 0.375939 |
| opioid overdose deaths | 0.521815 |
|
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| 10594 |
Centers for Disease Control and Prevention |
Html |
en |
Bipolar Disorder - Mental Illness - Mental Health Basics - Mental Health |
null |
| treatment | 0.43646 |
| tendency | 0.454477 |
| high potential | 0.605488 |
| sleeplessness | 0.476836 |
| psychotherapy | 0.444267 |
| manic-depressive disorder | 0.632149 |
| navigation Skip | 0.800489 |
| bipolar disorder | 0.756761 |
| self-importance | 0.477083 |
| Andreasen | 0.46673 |
| http://www.nimh.nih.gov/health/index.shtml | 0.436344 |
| medications | 0.444498 |
| mental health/mental illnesses | 0.776911 |
|
| grandiosity | 0.43783 |
| episodes | 0.49096 |
| thoughts | 0.437677 |
| major mood disorder | 0.805766 |
| list Skip | 0.797831 |
| adverse consequences.2 | 0.619004 |
| page options Skip | 0.991249 |
| speech | 0.437586 |
| activities | 0.437343 |
| exaggerated assessment | 0.635856 |
| Mania | 0.448349 |
| irritable mood | 0.660427 |
| depression | 0.488115 |
|
CLICK HERE |
| 10648 |
Centers for Disease Control and Prevention |
Html |
en |
Introduction'First Hours |
The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency. |
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CLICK HERE |
| 14032 |
Centers for Disease Control and Prevention |
Html |
en |
Vital Signs: Exposure to Electronic Cigarette AdvertisingAmong Middle School and High School Students - United States,2014 |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). Often called 'the Voice of CDC,' the MMWR series is the agency's primary vehicle for scientific publication of timely, reliable, authoritative, accurate, objective, and useful public health information and recommendations. MMWR readership predominately consists of physicians, nurses, public health practitioners, epidemiologists and other scientists, researchers, educators, and laboratorians. |
| U.S. middle school | 0.445302 |
| TV | 0.323843 |
| sources | 0.414508 |
| advertising exposure | 0.297161 |
| current tobacco products | 0.298638 |
| electronic cigarettes | 0.346041 |
| frequently reported exposure | 0.334821 |
| source | 0.331414 |
| e-cigarette advertising | 0.469337 |
| Retail store exposure | 0.323998 |
| e-cigarette advertising expenditures | 0.303773 |
| youth access | 0.302425 |
| youths | 0.41104 |
| movies | 0.316058 |
| tobacco control programs | 0.426593 |
| middle school | 0.765729 |
| Youth Tobacco Survey | 0.42086 |
| conventional tobacco products | 0.344945 |
| conventional tobacco product | 0.308849 |
| tobacco product advertising | 0.497825 |
| tobacco | 0.539476 |
| magazines | 0.314003 |
| middle school students | 0.669869 |
| comprehensive state tobacco | 0.345711 |
|
| comprehensive tobacco control | 0.294531 |
| tobacco product initiation | 0.309713 |
| e-cigarette advertisements | 0.596327 |
| state tobacco control | 0.346014 |
| youth tobacco prevention | 0.302056 |
| e-cigarette advertisement exposure | 0.409825 |
| tobacco outlet density | 0.294267 |
| high school students | 0.991689 |
| newspapers | 0.320766 |
| e-cigarettes | 0.370392 |
| National Youth Tobacco | 0.422357 |
| youth-oriented e-cigarette marketing | 0.345676 |
| Weighted exposure estimates | 0.341422 |
| U.S. youths | 0.336377 |
| tobacco products | 0.453132 |
| exposure | 0.657359 |
| commonly used tobacco | 0.311523 |
| exposure sources | 0.310583 |
| fund tobacco control | 0.294245 |
| youth exposure | 0.320875 |
| e-cigarette advertising exposures | 0.295401 |
| Internet | 0.331866 |
| high school-aged youths | 0.300043 |
|
CLICK HERE |
| 15954 |
Centers for Disease Control and Prevention |
Html |
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Absenteeism and Employer Costs Associated With Chronic Diseases and Health Risk Factors in the US Workforce |
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. |
| Medical Expenditure Panel | 0.900778 |
| large employer | 0.532113 |
| data | 0.56848 |
| union membership | 0.522068 |
| total missed workdays | 0.533486 |
| significantly greater absenteeism | 0.514681 |
| MarketScan | 0.748095 |
| number | 0.530806 |
| MEPS prevalence | 0.512489 |
| annual absenteeism costs | 0.557829 |
| health care claims | 0.581944 |
| Annual Total Absenteeism | 0.512138 |
| Expenditure Panel Survey | 0.757657 |
| data sources | 0.545966 |
| risk factors | 0.901619 |
| MarketScan respondents | 0.527538 |
| absenteeism | 0.724572 |
| MarketScan estimates | 0.524365 |
| condition-specific absenteeism costs | 0.539396 |
| chronic disease | 0.682784 |
| absenteeism costs | 0.707791 |
| employees | 0.525088 |
| MarketScan commercial claims | 0.53066 |
| MEPS | 0.661331 |
|
| MEPS data | 0.548195 |
| MEPS sample | 0.530801 |
| MEPS regression estimates | 0.523698 |
| excess absenteeism | 0.538277 |
| physical inactivity estimates | 0.513834 |
| MarketScan commercial encounters | 0.514016 |
| health risk factors | 0.657225 |
| excess missed workdays | 0.797268 |
| small employer | 0.518405 |
| commercial health care | 0.581949 |
| multiple risk factors | 0.531666 |
| data sets | 0.544514 |
| privately insured individuals | 0.609303 |
| absenteeism estimates | 0.540526 |
| de-identified convenience subpopulation | 0.592944 |
| chronic diseases | 0.856865 |
| Health MarketScan database | 0.542728 |
| zero-inflated Poisson regression | 0.531941 |
| care claims database | 0.531622 |
| employee absenteeism | 0.530339 |
| MarketScan sample | 0.51385 |
| MarketScan Health Risk | 0.571341 |
| MarketScan absenteeism estimate | 0.592251 |
| MEPS prevalence rates | 0.510535 |
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CLICK HERE |