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Centers for Disease Control and Prevention |
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Don't Let Measles Be Your Travel Souvenir | CDC Features |
Stay safe and healthy when traveling abroad. Measles spreads easily through coughing and sneezing. It can cause serious illness, even death. Make sure you and your family are vaccinated for measles before you travel. |
| health risk | 0.568997 |
| home fun souvenirs | 0.631288 |
| traveler | 0.512548 |
| best way | 0.566822 |
| photos | 0.513609 |
| coughing | 0.563152 |
| trip | 0.528908 |
| children | 0.526178 |
| majority | 0.513216 |
| multi-state outbreak | 0.573901 |
| Europe | 0.513159 |
| Africa | 0.513154 |
| diseases | 0.527963 |
| countries | 0.525044 |
| Worldwide | 0.513236 |
| California | 0.512823 |
| travelers | 0.524384 |
| unvaccinated U.S. residents | 0.621437 |
| symptoms | 0.514046 |
| dose | 0.529769 |
| outbreaks | 0.513967 |
| doses | 0.554679 |
| death | 0.515534 |
| United States | 0.636624 |
| air | 0.513488 |
|
| measles cases | 0.804003 |
| Check CDC | 0.562766 |
| sneezing | 0.54543 |
| Stay | 0.515093 |
| illness | 0.513968 |
| disease | 0.545353 |
| breathing | 0.513272 |
| Health website | 0.55949 |
| unvaccinated people | 0.563439 |
| infected person | 0.568199 |
| vaccine protects | 0.576341 |
| doctor | 0.533823 |
| rash | 0.532907 |
| international travel— | 0.568002 |
| Asia | 0.513149 |
| Pacific | 0.513139 |
| information | 0.512352 |
| amusement park | 0.567487 |
| Measles spreads | 0.830901 |
| family | 0.531212 |
| measles-mumps-rubella | 0.51711 |
| measles | 0.965053 |
| fantastic memories—NOT measles | 0.806382 |
| MMR vaccine | 0.702915 |
|
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Centers for Disease Control and Prevention |
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H3N2v Information for Health Care Providers - Seasonal Influenza (Flu) |
H3N2v Information for Health Care Providers - CDC |
| CDC Health Alert | 0.66124 |
| treatment | 0.421352 |
| United States | 0.511334 |
| Rapid Influenza Diagnostic | 0.791421 |
| navigation Skip | 0.658131 |
| U.S. States | 0.514119 |
| CDC Health Advisory | 0.628994 |
| Garten | 0.441604 |
| Klimov | 0.419669 |
| pages | 0.421546 |
| Network | 0.420918 |
| Variant Influenza Virus | 0.921778 |
| variant viruses | 0.558435 |
| clinicians | 0.427582 |
| prevention | 0.421404 |
| reporting | 0.421326 |
| MMWR | 0.459913 |
| detection | 0.419595 |
| list Skip | 0.659827 |
|
| page options Skip | 0.779244 |
| Influenza A H3N2v | 0.696484 |
| Updated Case Count | 0.610086 |
| diagnosis | 0.421378 |
| background information | 0.534236 |
| Influenza Other Respi | 0.704559 |
| Virus Infections | 0.589305 |
| human infections | 0.571793 |
| h3n2v virus | 0.664245 |
| HAN | 0.428348 |
| guidance | 0.420053 |
| Variant Virus-Related Hospitalizations | 0.69204 |
| Epub | 0.438584 |
| rapid influenza | 0.808968 |
| Ohio | 0.420337 |
| Villanueva J. Analytical | 0.640427 |
| influenza diagnostic tests | 0.986741 |
| doi | 0.432747 |
|
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Centers for Disease Control and Prevention |
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Global Health - Nigeria - Sickle Cell Disease |
null |
| Nigeria Global Health | 0.987981 |
| Sickle Cell Cohort | 0.86466 |
| (Nigeria) | 0.725119 |
| CDC | 0.436883 |
| endorsement | 0.376504 |
| 100,000 | 0.341295 |
| Public Health Laboratories | 0.774173 |
| Guys | 0.345026 |
| babies | 0.35406 |
| percent | 0.36552 |
| Sub-Saharan Africa | 0.600828 |
| Content source | 0.546008 |
| HHS | 0.383419 |
| Association | 0.339176 |
| Hospital (Abuja) | 0.814497 |
| public health burden | 0.812115 |
| Notice | 0.350111 |
| Michigan State University | 0.761751 |
|
| UK | 0.337962 |
| African Region | 0.594466 |
| St. Thomas Hospital | 0.751544 |
| Sickle cell disease | 0.949231 |
| World Health Organization | 0.85788 |
| accordance | 0.36633 |
| hemoglobinopathies | 0.342961 |
| patients | 0.341686 |
| prevalent genetic disease | 0.886197 |
| severe forms | 0.59075 |
| new births | 0.591029 |
| Initiative | 0.343168 |
| Katsina State Government | 0.748685 |
| non-federal site | 0.598569 |
| SCD | 0.674473 |
| partners | 0.395961 |
| London | 0.338043 |
| programs | 0.340077 |
|
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Centers for Disease Control and Prevention |
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Notifiable Diseases and Mortality Tables, April 26, 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. |
| H. influenzae | 0.385129 |
| National Center | 0.301583 |
| cases | 0.436533 |
| CDC | 0.294622 |
| novel influenza | 0.643924 |
| Total case counts | 0.467161 |
| pandemic influenza | 0.951943 |
| measles cases | 0.342141 |
| ** Data | 0.347558 |
|
| Cumulative total E. | 0.475127 |
| Influenza Division | 0.442359 |
| 2009 pandemic | 0.765397 |
| probable cases | 0.328045 |
| Respiratory Diseases | 0.308075 |
| rubella cases | 0.31017 |
| human infection | 0.329997 |
| influenza A virus | 0.477823 |
|
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Centers for Disease Control and Prevention |
Html |
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Women's Reproductive Health - Division of Reproductive Health |
A woman’s reproductive system is a delicate and complex system in the body. It is important to take steps to protect it from infections and injury, and prevent problems—including some long-term health problems. |
| health insurance | 0.410349 |
| health care provider | 0.560189 |
| health centers | 0.410731 |
| birth control methods | 0.536143 |
| healthy choices | 0.414706 |
| women’s health | 0.450155 |
| unplanned pregnancy | 0.410388 |
| uterus | 0.246245 |
| menopause | 0.348395 |
| long-term health problems | 0.626374 |
| unintended pregnancy | 0.581753 |
| barrier methods | 0.383024 |
| period | 0.256795 |
| surgical removal | 0.375378 |
| reproductive health | 0.686861 |
| steps | 0.272517 |
| birth control | 0.684957 |
| Health Resources Services | 0.555669 |
| contraceptive methods | 0.392053 |
| women | 0.646525 |
| healthy habits | 0.399428 |
| intrauterine contraception | 0.395546 |
| woman | 0.474248 |
| United States | 0.751058 |
| Good preconception health | 0.604202 |
|
| epidemiologic studies | 0.387501 |
| CDC/DRH activities | 0.393516 |
| life | 0.312808 |
| menarche | 0.247016 |
| good first step | 0.375223 |
| preconception health | 0.613791 |
| permanent birth control | 0.540981 |
| federal agencies | 0.37167 |
| ovary stops | 0.384662 |
| hormones estrogen | 0.378871 |
| high priorities | 0.392591 |
| nonprofit organizations | 0.371587 |
| reproductive age | 0.429443 |
| long history | 0.387692 |
| health | 0.916415 |
| infertility | 0.350605 |
| contraceptive practices | 0.396975 |
| normal change | 0.366655 |
| Health Center | 0.418386 |
| fallopian tubes | 0.380667 |
| baby | 0.342264 |
| highly effective methods | 0.532002 |
| A—Z Health Topics | 0.551886 |
| depression | 0.410861 |
|
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Centers for Disease Control and Prevention |
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Lung Cancer Diagnosis and Treatment |
Breast cancer is treated in several ways. It depends on the kind of breast cancer and how far it has spread. |
| medicines | 0.206087 |
| Lung Cancer Treatment | 0.331409 |
| lung surgery | 0.250951 |
| standard treatments | 0.20655 |
| cancer cells | 0.248123 |
| standard cancer treatments | 0.237196 |
| non-small cell lung | 0.716584 |
| lung cancer | 0.930426 |
|
| new treatment options | 0.227747 |
| cell lung cancer | 0.862118 |
| doctors | 0.225301 |
| small cell lung | 0.683621 |
| radiation therapy | 0.296755 |
| National Cancer Institute | 0.246551 |
| alternative medicine | 0.329554 |
|
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Centers for Disease Control and Prevention |
Html |
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Texas Reports Positive Test for Ebola in a Health Care Worker | Media Statement |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| potential exposures | 0.373838 |
| CDC | 0.367122 |
| health monitoring | 0.344891 |
| fever develop | 0.404326 |
| Texas Presbyterian Hospital | 0.966869 |
| State Health Services | 0.942686 |
| proper public health | 0.56275 |
| appropriate patient notification | 0.567788 |
| wider spread | 0.36394 |
| preliminary positive result | 0.596856 |
| Disease Control | 0.377839 |
| ongoing contact | 0.341441 |
| direct contact | 0.341424 |
| incubation period | 0.563135 |
| index patient | 0.823726 |
|
| greater Dallas community | 0.564314 |
| Confirmation testing | 0.377425 |
| Prevention’s laboratory | 0.369697 |
| confirmatory tests | 0.340782 |
| healthcare worker | 0.687088 |
| low grade fever | 0.664887 |
| health care worker | 0.618641 |
| immediate isolations | 0.386562 |
| bodily fluids | 0.365073 |
| sick person | 0.343855 |
| preliminary tests | 0.414182 |
| symptoms | 0.273755 |
| initial report | 0.400622 |
| Texas Department | 0.60915 |
|
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Centers for Disease Control and Prevention |
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A Toolkit for Long-Term Care Employers: Increasing Influenza Vaccination among Healthcare Personnel in Long-term Care Settings |
A Toolkit for Long-Term Care Employers: Increasing Influenza Vaccination among Health Care Personnel in Long-term Care Settings - CDC |
| access | 0.265808 |
| agency | 0.266495 |
| importance | 0.289778 |
| resources | 0.267182 |
| long-term care facility | 0.837589 |
| comprehensive toolkit | 0.657659 |
| influenza vaccination | 0.947061 |
| corporation owners | 0.575508 |
|
| email feedback | 0.575122 |
| input | 0.28862 |
| number | 0.267354 |
| employer | 0.305756 |
| workforce | 0.312487 |
| employees | 0.26366 |
| workers | 0.264691 |
|
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| 12582 |
Centers for Disease Control and Prevention |
Video |
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Amanda's Ad | Tips From Former Smokers |
Smoking while you're pregnant can cause serious health problems for you and your baby. In this TV ad for CDC's Tips From Former Smokers campaign, Amanda talks about the time her baby spent in a hospital incubator. Amanda had tried to quit smoking, but she was unable to overcome her addiction to cigarettes. Her baby was born 2 months early, weighing only 3 pounds.
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=122d86e4b6c49e6486ed4cceebc42cfe20140620142859500 |
| Smokers | 0.932887 |
| CDC | 0.92604 |
|
| YouTube | 0.871802 |
| Amanda | 0.853385 |
|
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Centers for Disease Control and Prevention |
Html |
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A Longitudinal Study of Structural Risk Factors for Obesity and Diabetes Among American Indian Young Adults, 1994-2008 |
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. |
| neighborhood mobility | 0.318366 |
| American Indian participants | 0.295116 |
| health care provider | 0.300593 |
| average neighborhood poverty | 0.301506 |
| National Longitudinal Study | 0.300999 |
| neighborhood poverty rate | 0.385489 |
| type | 0.331302 |
| social determinants | 0.414615 |
| future research | 0.365718 |
| block group data | 0.459837 |
| obesity | 0.430085 |
| Add Health data | 0.297929 |
| neighborhood collective efficacy | 0.445876 |
| American Indian adolescents | 0.405268 |
| elevated HbA1c | 0.462974 |
| control variables | 0.38247 |
| neighborhood poverty | 0.515804 |
| structural risk factors | 0.429944 |
| American Indian sample | 0.296448 |
| American Indians | 0.782785 |
| Perceived Stress Scale | 0.376909 |
| rich neighborhood data | 0.307508 |
| young adults | 0.479991 |
| Indian young adults | 0.438906 |
|
| neighborhood | 0.563518 |
| standard deviation increase | 0.318426 |
| higher rates | 0.384275 |
| self-reported high blood | 0.43817 |
| Add Health | 0.410027 |
| American Indian subsample | 0.589196 |
| neighborhood characteristics | 0.314362 |
| poor health | 0.310369 |
| high blood glucose | 0.905619 |
| official poverty threshold | 0.37411 |
| American Indian children | 0.295006 |
| Cohen Perceived Stress | 0.377358 |
| non-Hispanic whites | 0.454889 |
| additional neighborhood factors | 0.340761 |
| neighborhood factors | 0.345623 |
| occupied housing units | 0.370898 |
| stress | 0.390777 |
| elevated HbA1c levels | 0.301133 |
| neighborhood variables | 0.298397 |
| social cohesion | 0.293355 |
| Census block group | 0.466933 |
| neighborhood measures | 0.304213 |
| better neighborhood efficacy | 0.354298 |
| logistic regression models | 0.324673 |
|
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