| 6916 |
Centers for Disease Control and Prevention |
Html |
en |
Radiation: Radon in the Home |
Details on the radioactive gas radon and what you can do to protect yourself from harm. Provided by the Centers for Disease Control and Prevention. |
| customizable fact sheets | 0.259001 |
| test kit packaging | 0.268528 |
| Radon Action Plan | 0.572415 |
| lung cancer | 0.394986 |
| radon test kit | 0.496462 |
| lung cancer. EPA | 0.290032 |
| National Radon Action | 0.573646 |
| homes | 0.264421 |
| American Lung Association | 0.327022 |
| EPA Radon Hotlines | 0.497579 |
| Short-term radon test | 0.496327 |
| test results | 0.262855 |
| suction. Radon | 0.485335 |
| state radon office | 0.544047 |
| social media posts | 0.258816 |
| breathing radon | 0.509847 |
| radon kit | 0.459844 |
| radon level | 0.505378 |
| radon test kits | 0.614389 |
| radon gas | 0.544054 |
| new web page | 0.264196 |
| Long-term radon test | 0.489774 |
| Basic Radon Facts | 0.514185 |
| instances radon | 0.481778 |
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| radon problems | 0.453516 |
| radon | 0.951534 |
| radon problem | 0.46136 |
| Radon Communication Toolkit | 0.515825 |
| average pCi/L level | 0.278044 |
| new radon web | 0.517813 |
| high radon levels | 0.48658 |
| air | 0.269864 |
| U.S. Environmental Protection | 0.25776 |
| short-term test | 0.26365 |
| cigarette smoking | 0.258731 |
| residential radon risks | 0.487992 |
| Radon Myths | 0.466195 |
| public health professionals | 0.261495 |
| radon levels | 0.782849 |
| radon information | 0.515577 |
| EPA radon web | 0.497486 |
| indoor air | 0.263046 |
| Radon forms | 0.512176 |
| lung cancer deaths | 0.276079 |
| term test kits | 0.264933 |
| radon reduction | 0.459086 |
| Surgeon General | 0.260893 |
| short-term testing | 0.259759 |
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| 9012 |
Centers for Disease Control and Prevention |
Video |
en |
Director's Briefing: Smoking among Adults with Mental Illness |
CDC Director Dr. Tom Frieden talks about how more people with mental illness smoke than people without mental illness. Specifically, more than 1 in 3 adults with mental illness smoke cigarettes compared with about 1 in 5 adults without mental Illness. About 3 of every 10 cigarettes smoked by adults are smoked by adults with mental illness. Nearly 1 in 5 adults -- 45.7 million people -- have some form of mental illness.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at http://streaming.cdc.gov/vod.php?id=9c5ee85879a4af7410ed39f8962790f120130204142120464 |
| Mental Illness | 0.970037 |
| Director | 0.566252 |
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| Adults | 0.562277 |
| YouTube | 0.848663 |
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| 9065 |
Centers for Disease Control and Prevention |
Html |
en |
H3N2v Selected Publications and Resources |
Selected Publications and Resources Related to H3N2v - CDC |
| influenza | 0.861151 |
| Novel Reassortant Influenza | 0.54616 |
| 7655-67. doi | 0.477386 |
| Ohio agricultural fair | 0.392465 |
| United States | 0.515064 |
| swine influenza | 0.521452 |
| Subclinical Influenza Virus | 0.615062 |
| H3N2pM/H3N2v influenza | 0.541059 |
| Vincent Al | 0.398771 |
| Rapid Influenza Diagnostic | 0.538763 |
| e54015. doi | 0.456577 |
| Influenza H3N2 | 0.531682 |
| 3944-9. doi | 0.457775 |
| Vaccine development | 0.393451 |
| variant viruses | 0.440334 |
| variant virus | 0.529503 |
| seasonal influenza vaccine | 0.587782 |
| 181-95. doi | 0.473202 |
| 387-96. doi | 0.454868 |
| influenza A virus | 0.542922 |
| Variant Virus Infection | 0.437505 |
| 8872-8. doi | 0.464341 |
| trivalent inactivated influenza | 0.557245 |
| 6804-14. doi | 0.467384 |
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| Human Infections | 0.417204 |
| North American swine | 0.408008 |
| Variant Influenza | 0.566325 |
| H3N2 Influenza | 0.542258 |
| Supplement Article | 0.444673 |
| Influenza Epidemic Risk | 0.533781 |
| 1236-41. doi | 0.467252 |
| Influenza Other Respi | 0.498294 |
| 46-54. doi | 0.451023 |
| cross-reactive antibodies-United States | 0.40183 |
| influenza a h3n2v | 0.662821 |
| H3N2v Virus | 0.399676 |
| A,Villanueva J. Analytical | 0.393925 |
| influenza viruses | 0.571309 |
| 1261-3. doi | 0.472171 |
| et al | 0.984913 |
| influenza virus | 0.676657 |
| Infectious Diseases | 0.390172 |
| rapid influenza | 0.570533 |
| influenza a viruses | 0.573079 |
| influenza diagnostic tests | 0.652642 |
| Swine Origin Influenza | 0.591944 |
| Agricultural Fairs | 0.389901 |
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Centers for Disease Control and Prevention |
Html |
en |
School Located Influenza Vaccination Info | Staff |
School-Located Vaccination (SLV) - Planning for Adequate Staff - CDC |
| 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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| 10224 |
Centers for Disease Control and Prevention |
Html |
en |
About CDC's Program'Extreme Heat |
Information on extreme heat. Provided by the Centers for Disease Control and Prevention (CDC) |
| extreme heat | 0.96177 |
| website | 0.290702 |
| fact | 0.293042 |
| Heat-related deaths | 0.894531 |
| United States | 0.668598 |
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| illnesses | 0.377883 |
| resources | 0.288987 |
| information | 0.28963 |
| helpful tips | 0.712284 |
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| 11043 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Prevalence of Diabetes and Associated Obesity in Pennsylvania Adults, 1995"2010 - CDC |
This study examined trends in the prevalence and sociodemographic distributions of diabetes and the associations of diabetes with obesity over time in adult Pennsylvanians from 1995 through 2010. |
| dominant risk factor | 0.27704 |
| high school | 0.323332 |
| Wald test | 0.359751 |
| data | 0.339892 |
| United States | 0.361699 |
| national prevalence | 0.339921 |
| highest prevalence | 0.290183 |
| BRFSS survey data | 0.242101 |
| Risk Factor Surveillance | 0.39688 |
| percentage points | 0.601148 |
| Community-based diabetes programs | 0.336746 |
| Behavior Risk Factor | 0.243181 |
| BRFSS data | 0.242662 |
| diabetes prevalence | 0.789222 |
| program managers | 0.280655 |
| Pennsylvania Department | 0.233268 |
| gestational diabetes | 0.341979 |
| high school degree | 0.315971 |
| risk differences | 0.238696 |
| logistic regression | 0.273988 |
| obesity prevalence | 0.391671 |
| obesity | 0.44171 |
| borderline diabetes | 0.320227 |
| BRFSS | 0.304008 |
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| public health | 0.290916 |
| BMI | 0.284509 |
| risk factors | 0.316121 |
| diabetes-related illness | 0.232481 |
| Penn State | 0.232404 |
| Pennsylvania State University | 0.282372 |
| annual income | 0.383224 |
| race | 0.279775 |
| body mass index | 0.267674 |
| sex | 0.236268 |
| public health programs | 0.2709 |
| risk factor | 0.45653 |
| national BRFSS data | 0.237356 |
| Pennsylvania | 0.456152 |
| diabetes risk | 0.326381 |
| Pennsylvania BRFSS | 0.288817 |
| Diabetes Prevention Program | 0.371078 |
| policy makers | 0.280097 |
| Pennsylvania state health | 0.252638 |
| Behavioral Risk Factor | 0.283274 |
| diabetes | 0.939155 |
| M. Diabetes prevalence | 0.458218 |
| Pennsylvania Diabetes Action | 0.366413 |
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| 11253 |
Centers for Disease Control and Prevention |
Html |
en |
Enfermedades cardiovasculares: la causa principal de muerte en los hispanos enlos Estados Unidos |
Una encuesta hecha recientemente por los Centros para el Control y la Prevención de Enfermedades encontró que más de una cuarta parte de los hispanos (26.1 %) reportó tener presión arterial alta y casi la tercera parte de los que tienen presión arterial alta (30.4 %) no estaba tomando los medicamentos que podrían reducir su riesgo de ataques cardiacos y accidentes cerebrovasculares. Solo el 40.7 % de los hispanos dijo que tenía la presión arterial bajo control. Los CDC y Million Hearts han creado recursos educativos para ayudar a los hispanos a asumir el control de la salud de su corazón |
| 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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| 12188 |
Centers for Disease Control and Prevention |
Html |
en |
Health Care Personnel and Flu Vaccination, Internet Panel Survey, United States, November 2014 |
Findings from the Internet Panel Survey of health care personnel flu vaccination in the United States for the 2014-15 flu seasons CDC |
| early season | 0.642272 |
| national flu vaccination | 0.352069 |
| early flu season | 0.313914 |
| vaccination campaigns | 0.257949 |
| influenza vaccination coverage | 0.357142 |
| season flu vaccination | 0.5596 |
| flu vaccine | 0.255148 |
| non-clinical support staff | 0.209219 |
| flu complications | 0.234039 |
| flu vaccination coverage | 0.903009 |
| percentage points | 0.311976 |
| HCP flu vaccination | 0.554401 |
| flu vaccines | 0.283019 |
| Influenza vaccination levels | 0.271819 |
| Internet panel survey | 0.342875 |
| U.S. HCP | 0.297036 |
| end-of-season flu vaccination | 0.350821 |
| work settings | 0.235716 |
| National Influenza Vaccination | 0.31217 |
| current flu season | 0.26674 |
| health care | 0.309069 |
|
| HCP whose employers | 0.324004 |
| early season online | 0.217806 |
| long-term care facilities | 0.365587 |
| early season coverage | 0.225295 |
| HCP groups | 0.314342 |
| influenza vaccination | 0.414787 |
| HCP influenza vaccine | 0.356092 |
| vaccination results | 0.234392 |
| vaccination history | 0.237709 |
| volunteer HCP | 0.292193 |
| HCP | 0.61831 |
| current vaccination efforts | 0.259862 |
| season online report | 0.207384 |
| Internet panel | 0.383725 |
| et al | 0.22635 |
| season HCP vaccination | 0.513489 |
| flu season | 0.432784 |
| acute care hospitals | 0.236282 |
| unvaccinated HCP | 0.356188 |
| Influenza vaccination performance | 0.275085 |
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| 12349 |
Centers for Disease Control and Prevention |
Html |
en |
Opioid painkillers widely prescribed among reproductive age women |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| opioid prescription rates | 0.642804 |
| Medicaid enrollees | 0.487221 |
| Mortality Weekly Report | 0.48976 |
| CDC’s National | 0.381074 |
| large health insurance | 0.518112 |
| neural tube defects | 0.503247 |
| thorough health assessment | 0.502098 |
| commonly prescribed opioids | 0.55135 |
| private health insurance | 0.700906 |
| pregnant women | 0.410532 |
| Hispanic women | 0.386582 |
| Medicaid data | 0.364586 |
| new information | 0.340493 |
| private insurance | 0.608211 |
| reproductive-aged women | 0.514263 |
| Medicaid-enrolled women | 0.397999 |
| health conditions | 0.47506 |
| health care providers | 0.857052 |
| health care professionals | 0.518113 |
| National Center | 0.461215 |
| health care services | 0.506725 |
| CDC Director Tom | 0.523137 |
| Safer Medication | 0.363491 |
| opioid pain medication | 0.70107 |
| Northeast. Race/ethnicity information | 0.463297 |
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| Geographic region data | 0.448035 |
| Pregnancy initiative. | 0.348898 |
| better information | 0.345655 |
| specific medications | 0.404922 |
| women | 0.642835 |
| congenital heart defects | 0.511926 |
| private insurance claims | 0.474621 |
| Developmental Disabilities | 0.457593 |
| age group | 0.354449 |
| prescription cough medications | 0.620652 |
| opioid prescription | 0.652627 |
| prescription medications | 0.454696 |
| higher opioid | 0.491764 |
| health care | 0.990811 |
| opioid prescriptions | 0.491403 |
| reproductive age | 0.569946 |
| health insurance plan | 0.511175 |
| unborn child. | 0.348603 |
| CDC researchers | 0.399243 |
| major defects | 0.402199 |
| birth defects | 0.754304 |
| opioid medications | 0.590354 |
| neonatal abstinence syndrome | 0.447214 |
| non-Hispanic white women | 0.529373 |
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Centers for Disease Control and Prevention |
Html |
en |
Results | YRBSS | Data | Adolescent and School Health | CDC |
Youth Risk Behavior Surveillance System (YRBSS) Methods |
| PowerPoint® presentation | 0.381363 |
| Grades | 0.350683 |
| Sexual Contacts | 0.52844 |
| United States | 0.722993 |
| national trends | 0.375944 |
| RR-01 | 0.313792 |
| Risk Behavior Surveillance—United | 0.439085 |
| national prevalence | 0.37954 |
| fact sheets | 0.373416 |
| HTML | 0.374339 |
| 1-20 | 0.313785 |
| overall response rate | 0.552551 |
| example | 0.326167 |
| race/ethnicity | 0.314693 |
| tables | 0.326901 |
| PDF | 0.381292 |
| present information | 0.373376 |
| Selected Sites | 0.459626 |
| Sexual Identity | 0.528733 |
| KB | 0.314615 |
| Youth Risk Behavior | 0.927532 |
| Health-Risk Behaviors | 0.397216 |
| national YRBS data | 0.524793 |
|
| local medians | 0.387173 |
| results | 0.314757 |
| table | 0.329459 |
| Release | 0.313562 |
| MMWR | 0.483586 |
| erratum | 0.314775 |
| following links | 0.439051 |
| YRBSS | 0.314764 |
| state YRBS data | 0.430304 |
| Sites—Youth Risk Behavior | 0.436167 |
| percentages | 0.315343 |
| SS-9 | 0.333273 |
| high school students | 0.666823 |
| SS-6 | 0.331864 |
| certain risk behaviors | 0.447364 |
| school health policies | 0.430218 |
| *Districts | 0.313576 |
| Health-Related Behaviors | 0.482722 |
| state maps | 0.378924 |
| district YRBS data | 0.427165 |
| grade | 0.314704 |
| Risk Behavior Surveillance | 0.881942 |
| 3M | 0.337732 |
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