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Centers for Disease Control and Prevention |
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February is American Heart Month - 2013 | CDC Features |
Heart disease is the leading cause of death for both men and women, but heart disease is preventable and controllable. |
| MPEG | 0.378858 |
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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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Health Disparities in Cancer |
Disparities affect many groups of people, including racial and ethnic minorities, residents of rural areas, women, children and adolescents, the elderly, people with disabilities, and the uninsured. |
| average risk | 0.472744 |
| tobacco-related cancers | 0.481427 |
| Ashkenazi Jewish heritage | 0.530207 |
| personal health history | 0.53261 |
| Health Equity | 0.4878 |
| high-quality treatment | 0.473929 |
| lung cancer | 0.645401 |
| Minority Health | 0.488932 |
| aggressive cancers | 0.487466 |
| new cancer cases | 0.586535 |
| health disparities | 0.613799 |
| U.S. Cigarette smoking | 0.514591 |
| CDC’s Office | 0.476747 |
| ethnic groups | 0.526632 |
| secondhand smoke | 0.511126 |
| rural areas | 0.479623 |
| colorectal cancer | 0.709569 |
| overall health | 0.487831 |
| prostate specific antigen | 0.542262 |
| cancer diagnosis | 0.525131 |
| cervical cancer | 0.60977 |
| life expectancy | 0.477374 |
| better follow-up care | 0.527464 |
| BRCA gene mutation | 0.523123 |
| white women | 0.540097 |
|
| human papillomavirus | 0.470765 |
| United States | 0.539438 |
| African American men | 0.518094 |
| healthy lifestyle choices | 0.533792 |
| Prostate cancers | 0.50746 |
| Colorectal cancers | 0.511687 |
| African American women | 0.733771 |
| liver cancer cases | 0.652384 |
| higher risk | 0.475373 |
| person’s risk | 0.52968 |
| n’t work | 0.4705 |
| New liver cancer | 0.560683 |
| breast cancer | 0.653571 |
| Breast cancer deaths | 0.586605 |
| poorer housing | 0.475302 |
| highest rates | 0.661609 |
| people | 0.498888 |
| risk factor | 0.470557 |
| cancer screening tests | 0.598182 |
| lung cancer risk | 0.567934 |
| various races | 0.477906 |
| prostate cancer | 0.654209 |
| highest death rate | 0.532536 |
| cancer | 0.903751 |
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Centers for Disease Control and Prevention |
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Winnable Battles - Focus Areas |
CDC's Winnable Battles were chosen based on the scope of the health burden and our ability to make significant progress in improving outcomes. |
| measurable impact | 0.801221 |
| CDC Director | 0.57966 |
| death | 0.343065 |
| disability | 0.342991 |
| CDC leaders | 0.577869 |
| public health priorities | 0.710558 |
| effort | 0.350846 |
| burden | 0.356686 |
| public health challenges | 0.7414 |
| partnerships | 0.34776 |
| optimal strategies | 0.523404 |
| outcomes | 0.349398 |
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| scope | 0.345318 |
| causes | 0.343139 |
| effective strategies | 0.514679 |
| term | 0.339336 |
| ability | 0.338773 |
| significant progress | 0.514528 |
| winnable battles | 0.987799 |
| charge | 0.346809 |
| priority areas | 0.522283 |
| pace | 0.360037 |
| resources | 0.33732 |
| large-scale impact | 0.526696 |
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Centers for Disease Control and Prevention |
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CDCynergy Lite - Market Strategy - Health Communication |
Gateway to Health Communication and Social Marketing Practice - CDCynergy Lite, market strategy |
| tangible object | 0.467215 |
| smallest cost | 0.470559 |
| research findings | 0.472328 |
| competitive behaviors | 0.474868 |
| following information | 0.471612 |
| special promotional items | 0.5154 |
| Social marketing | 0.468453 |
| overall behavioral goal | 0.510471 |
| benefit exchange statement | 0.526509 |
| primary audience segments | 0.678586 |
| behavior change | 0.53038 |
| audience members | 0.640386 |
| condom vending machines | 0.517608 |
| target audience segment | 0.682709 |
| program resources | 0.473884 |
| tangible difference | 0.470502 |
| audience segment/behavior couplet | 0.640178 |
| cessation counseling | 0.464497 |
| commercial marketing | 0.468418 |
| potential segments | 0.482518 |
| female college students | 0.511314 |
| overall program goal | 0.528808 |
| male sex partners | 0.509889 |
| lower barriers | 0.5011 |
| largest number | 0.471341 |
|
| club program | 0.468078 |
| audience segment finalist | 0.678368 |
| benefits | 0.508186 |
| unproductive duplication | 0.465045 |
| target audience | 0.905204 |
| health behavior | 0.497143 |
| brainstorm interventions | 0.469043 |
| behavior | 0.676509 |
| little more incentive | 0.471855 |
| behavioral determinants | 0.53835 |
| pressure monitoring kits | 0.519638 |
| program activity | 0.471057 |
| greatest readiness | 0.474024 |
| priority segments | 0.472799 |
| target behavior | 0.522776 |
| information channels | 0.469478 |
| condensed format | 0.465788 |
| secondary audience segments | 0.653331 |
| audience segment | 0.875659 |
| solid exchange | 0.47453 |
| bar restrooms | 0.463745 |
| barriers | 0.571513 |
| public relations media | 0.515895 |
| primary target audience | 0.669547 |
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Centers for Disease Control and Prevention |
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Intervenciones en el estilo de vida con relación a la hipertensión y la dislipidemia entre mujeres en edad reproductiva |
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| sólidas bases | 0.832117 |
| Dietz PM | 0.916352 |
| bajas tasas | 0.737923 |
| Tregear M | 0.877127 |
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| Schmidt SM | 0.921712 |
| Chronic Dis | 0.920796 |
| Bombard J | 0.892276 |
| Tregear SJ | 0.877205 |
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Centers for Disease Control and Prevention |
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Email Updates: January 13, 2014'Clinicians Outreach and Communication Activity (COCA) |
CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism. |
| suspect malaria | 0.704114 |
| CDC | 0.999623 |
| avian influenza | 0.785619 |
| United States | 0.673289 |
| Emergency Preparedness | 0.662627 |
| COCA Email Update | 0.712068 |
| FDA Safety Information | 0.699302 |
| Salmonella Stanley Linked | 0.642301 |
| public health community | 0.692451 |
| U.S. Reach 40-Year | 0.686821 |
| – (CDC) | 0.750292 |
| new avian influenza | 0.713104 |
| CDC Science Clips | 0.84305 |
| human health information | 0.724611 |
| Additional COCA Conference | 0.693466 |
| CDC Influenza Division | 0.846275 |
| new H7N9 virus | 0.685532 |
| important safety information | 0.676835 |
| health care providers | 0.772017 |
| Weekly Flu View | 0.666319 |
| human medical products | 0.66281 |
| Free CE credit/contact | 0.659366 |
| Specific Hazards preparedness | 0.674402 |
| hazardous material incidents | 0.653921 |
|
| malaria prevention strategies | 0.786689 |
| ongoing malaria transmission | 0.772643 |
| Virus Infection Reported | 0.697473 |
| available immunization resources | 0.68372 |
| Current Travel Warnings | 0.652371 |
| Human Avian Influenza | 0.719452 |
| seasonal flu | 0.645133 |
| subject matter expert | 0.824201 |
| in-person training centers | 0.658264 |
| malaria cases | 0.851363 |
| recent ACIP recommendations | 0.695121 |
| FoodSafety.gov Reports FDA | 0.68066 |
| Event Reporting Program | 0.653457 |
| recent vaccine recommendations | 0.67222 |
| weekly influenza surveillance | 0.681769 |
| malaria infections | 0.705669 |
| substance identification support | 0.655973 |
| emergency responders | 0.661345 |
| FDA Investigates Outbreak | 0.673584 |
| USDA Food Recalls | 0.654119 |
| Response Training Resources | 0.670618 |
| CDC subject matter | 0.997976 |
| confirmed malaria cases | 0.792001 |
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Diphtheria | Laboratory | Specimen Collection | CDC |
CDC’s Pertussis and Diphtheria Laboratory provides laboratory support to US health departments requesting assistance with isolation, identification, and sub-typing of Corynebacterium diphtheriae... |
| hospital personnel | 0.308599 |
| Diphtheria Laboratory | 0.797096 |
| B. parapertussis | 0.316429 |
| list Skip | 0.645254 |
| page options Skip | 0.937595 |
| Bordetella pertussis | 0.655266 |
| outbreak support | 0.331789 |
| Corynebacterium diphtheriae | 0.377548 |
| navigation Skip | 0.645275 |
| laboratory resources | 0.300494 |
|
| CDC’s Pertussis | 0.634143 |
| B. holmesii | 0.315782 |
| diphtheria specimen collection | 0.804181 |
| U.S. health departments | 0.610287 |
| international researchers | 0.310112 |
| health departments | 0.630334 |
| C. ulcerans | 0.38734 |
| laboratory support | 0.326071 |
| local health departments | 0.582167 |
| serologic methods | 0.296695 |
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Centers for Disease Control and Prevention |
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Chronic Kidney Disease |
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Centers for Disease Control and Prevention |
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Self-Reported Sitting Time in New York City Adults, The Physical Activity and Transit Survey, 2010-2011 |
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. |
| 2-question method | 0.417648 |
| demographic characteristics | 0.359657 |
| accelerometer participants | 0.356019 |
| poverty status | 0.358252 |
| questions | 0.361413 |
| Research Triangle Institute | 0.360683 |
| AMA PRA | 0.386124 |
| distinct sedentary behavior | 0.400761 |
| New York City | 0.482566 |
| sedentary time | 0.815831 |
| health outcomes | 0.392448 |
| accelerometer-reported sitting time | 0.501343 |
| self-reported sitting time | 0.956224 |
| daily sitting time | 0.490522 |
| population surveillance | 0.364326 |
| PA levels | 0.368704 |
| accelerometer wear time | 0.410765 |
| lower education levels | 0.372126 |
| accelerometer-measured sedentary time | 0.671556 |
| recreational time | 0.362746 |
| life expectancy | 0.379109 |
| nonrecreational physical activity | 0.374726 |
| specific sedentary behavior | 0.429046 |
| high sitting times | 0.442046 |
|
| New York University | 0.360524 |
| C. Sitting | 0.423006 |
| AMA PRA Category | 0.367578 |
| Journal-based CME activity | 0.354288 |
| higher mean duration | 0.369028 |
| Evening Sitting Times | 0.438301 |
| accelerometer data | 0.493403 |
| higher education levels | 0.384743 |
| self-reported data | 0.380527 |
| lipoprotein lipase activity | 0.375292 |
| sedentary activity | 0.386705 |
| sedentary behavior | 0.496584 |
| York City Health | 0.358008 |
| multiple sedentary behaviors | 0.395078 |
| accelerometer-assessed sedentary time | 0.546388 |
| physical activity | 0.448642 |
| higher levels | 0.361007 |
| self-report data | 0.355545 |
| self-reported sedentary time | 0.493049 |
| PAT Survey | 0.400832 |
| York City Department | 0.365595 |
| B. Sitting | 0.423109 |
| NYC Health Department | 0.441055 |
| mean difference | 0.416468 |
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Centers for Disease Control and Prevention |
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FastStats - Kidney Disease |
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| race | 0.221219 |
| United States | 0.80129 |
| potential life | 0.405868 |
| Final Data | 0.459678 |
| Hispanic origin Health | 0.972039 |
| sex | 0.221515 |
|
| age Health | 0.342896 |
| selected causes | 0.366568 |
| PDF | 0.327901 |
| MB | 0.45555 |
| Age-adjusted death rates | 0.643667 |
| deaths | 0.279189 |
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