| 1122 |
Centers for Disease Control and Prevention |
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Notes from the Field: Investigation of Infectious DiseaseRisks Associated With a Nontransplant Anatomical Donation Center -Arizona, 2014 |
Marie A. de Perio, MD1, Bruce P. Bernard, MD1, Lisa J. |
| CDC | 0.465293 |
| safe work practices | 0.572347 |
| anatomical donation organizations | 0.579539 |
| hepatitis B virus | 0.458124 |
| anatomical donation industry | 0.561629 |
| Lisa J. Delaney | 0.502001 |
| Nontransplant anatomical centers | 0.59679 |
| MMWR Early Release | 0.503721 |
| Nicole J. Cohen | 0.50056 |
| potential occupational exposure | 0.515986 |
| Zoonotic Infectious Diseases | 0.508528 |
| infectious agents | 0.476007 |
| Arizona public health | 0.671135 |
| anatomical donation center | 0.591376 |
| HBV | 0.475316 |
| proper disinfection procedures | 0.487956 |
| contact mucous membranes | 0.493411 |
| personal protective equipment | 0.480767 |
| OSHA Bloodborne Pathogens | 0.507995 |
| public health officials | 0.67136 |
| human nontransplant | 0.476357 |
| M. tuberculosis | 0.598349 |
| United States process | 0.4955 |
| work practice controls | 0.487679 |
| center cost-free testing | 0.497412 |
|
| human immunodeficiency virus | 0.503563 |
| HCV | 0.469516 |
| M. tuberculosis infection | 0.513525 |
| potentially infectious materials | 0.546572 |
| Animal Medical Diagnostic | 0.484496 |
| infectious tissues | 0.475531 |
| MMWR website | 0.456563 |
| Occupational Safety | 0.491041 |
| considerably lower risk | 0.491081 |
| employee exposure | 0.458637 |
| infectious aerosols | 0.473828 |
| nontransplant anatomical materials | 0.955181 |
| nontransplant anatomical donation | 0.748686 |
| occupational exposure risk | 0.502355 |
| hepatitis C virus | 0.458065 |
| potential exposure | 0.462776 |
| Spill Response | 0.45659 |
| exposure control plan | 0.494888 |
| Non-Transplant Anatomical Donation | 0.557374 |
| U.S. Postal Service | 0.483557 |
| proper environmental controls | 0.493009 |
| Bruce P. Bernard | 0.498178 |
| Bloodborne Pathogens Standard | 0.586148 |
| Mycobacterium tuberculosis | 0.476988 |
|
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| 7429 |
Centers for Disease Control and Prevention |
Html |
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Iowa Asthma Follow Up Study - Veterans Health - Gulf War Studies |
CDC's National Center for Environmental Health (NCEH) has taken the lead for HHS in addressing the health concerns of veterans of the Vietnam War and the Gulf War, and NCEH is working with the Departments of Defense and Veterans Affairs to protect the health of our future military forces. |
| telephone survey participants | 0.466852 |
| baseline pulmonary function | 0.480149 |
| list Skip | 0.453998 |
| past smokers | 0.390201 |
| self-report | 0.329269 |
| illnesses | 0.318375 |
| current symptoms | 0.381273 |
| page options Skip | 0.538815 |
| subjects | 0.31655 |
| groups | 0.332457 |
| asthma | 0.501434 |
| lower baseline spirometry | 0.480915 |
|
| navigation Skip | 0.453148 |
| original Iowa study | 0.477271 |
| Gulf War veterans | 0.950511 |
| non-Gulf War veterans | 0.513715 |
| measure | 0.316699 |
| telephone survey | 0.682421 |
| smoking history | 0.384568 |
| lungs | 0.320879 |
| physical examination data | 0.472493 |
| bronchial hyperreactivity | 0.502859 |
| subset | 0.321624 |
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| 7575 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Perceived Stress, Behavior, and Body Mass Index Among Adults Participating in a Worksite Obesity Prevention Program, Seattle, 2005"2007 - CDC |
Stress in numerous contexts may affect the risk for obesity through biobehavioral processes. Acute stress has been associated with diet and physical activity in some studies; the relationship between everyday stress and such behavior is not clear. The objective of this study was to examine associations between perceived stress, dietary behavior, physical activity, eating awareness, self-efficacy, and body mass index (BMI) among healthy working adults. |
| Stress Scale-10 score | 0.526787 |
| stress’s influence | 0.495517 |
| stress exposure | 0.500147 |
| physical activity behaviors | 0.480073 |
| Perceived Stress Scale-10 | 0.561449 |
| 5-point Likert scale | 0.482712 |
| emotional eating | 0.482997 |
| overall perceived stress | 0.567846 |
| Perceived Stress Score-10 | 0.559552 |
| stress-related eating behaviors | 0.47817 |
| 10-item Perceived Stress | 0.568692 |
| low eating awareness | 0.478466 |
| body mass index | 0.583898 |
| Davies G. Stress | 0.49599 |
| International Physical Activity | 0.470566 |
| restrained eating | 0.473652 |
| overall stress | 0.50645 |
| dietary behavior | 0.571555 |
| Introduction
Stress | 0.510211 |
| stress scores | 0.503386 |
| stress levels | 0.510278 |
| Perceived Stress Scale | 0.592815 |
| lower levels | 0.501448 |
| Leisure-Time Exercise Questionnaire | 0.475483 |
| worksite random effect | 0.472614 |
|
| CrossRef | 0.477932 |
| average levels | 0.466048 |
| dietary behaviors | 0.467381 |
| stress management | 0.520061 |
| metabolic equivalent task | 0.472295 |
| physical activity behavior | 0.481155 |
| fast food | 0.524008 |
| everyday stress | 0.522185 |
| J. Perceived effects | 0.472782 |
| stress response | 0.495481 |
| acute stress | 0.527745 |
| stress | 0.78622 |
| godin leisure-time exercise | 0.499448 |
| Measuring stress | 0.490271 |
| certain eating behaviors | 0.489125 |
| human social stress | 0.515202 |
| stress sensitivity | 0.490172 |
| physical activity | 0.969099 |
| higher levels | 0.566571 |
| eating behaviors | 0.497264 |
| leisure-time physical activity | 0.472314 |
| work stress | 0.50428 |
| et al | 0.476583 |
| task eating | 0.490506 |
|
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| 7721 |
Centers for Disease Control and Prevention |
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en |
eHealth Metrics Dashboard |
CDC.gov Web Metrics Dashboard. Key performance indicators and data for CDC’s Web site, Social Media, and Campaigns. CDC is sharing this data as part of the agency’s commitment to transparent government. |
| overall page views | 0.892107 |
| Zika topics | 0.738014 |
| H1N1 content. Ebola | 0.998294 |
| CDC Flu | 0.762454 |
|
| page view traffic | 0.952952 |
| rise | 0.483833 |
| page views. | 0.858356 |
| downward trend | 0.773638 |
|
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| 8731 |
Centers for Disease Control and Prevention |
Html |
en |
Announcements: Global Road Safety Week - May 6-12,2013 |
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. |
| Safety Week efforts | 0.583776 |
| mmwrq@cdc.gov. | 0.577604 |
| accessible facilities | 0.567632 |
| endorsement | 0.531069 |
| United Nations | 0.573321 |
| Human Services | 0.62702 |
| assistive technology | 0.578827 |
| U.S. Department | 0.625002 |
| MMWR HTML versions | 0.618475 |
| pedestrian zones | 0.619486 |
| road signs | 0.588484 |
| electronic PDF version | 0.613703 |
| middle-income countries | 0.575849 |
| risk factors | 0.564766 |
| World Health Organization | 0.630378 |
| Additional information | 0.568098 |
| Contact GPO | 0.575046 |
| commercial sources | 0.565402 |
| current prices | 0.563736 |
| original paper copy | 0.616003 |
| General Assembly | 0.573256 |
| larger UN Decade | 0.567607 |
| pedestrian deaths | 0.626478 |
| vast majority | 0.569652 |
|
| speed bumps | 0.571507 |
| pedestrian injuries | 0.615742 |
| U.S. Government Printing | 0.619823 |
| original MMWR paper | 0.616468 |
| MMWR readers | 0.567721 |
| character translation | 0.562581 |
| global road deaths | 0.664466 |
| global problem | 0.578014 |
| reflective materials | 0.568162 |
| vehicle speeds | 0.569407 |
| format errors | 0.56182 |
| subject line | 0.577604 |
| global road safety | 0.961864 |
| pedestrians | 0.599138 |
| typeset documents | 0.565077 |
| trade names | 0.56544 |
| official text | 0.561919 |
| mass transit route | 0.621208 |
| road traffic injuries | 0.636609 |
| non-CDC sites | 0.564585 |
| pedestrian safety | 0.67833 |
| best practices | 0.568298 |
| electronic conversions | 0.560856 |
| pedestrian crossings | 0.620235 |
|
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| 11843 |
Centers for Disease Control and Prevention |
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Questions and Answers: Estimating the Future Number of Cases in the Ebola Epidemic—Liberia and Sierra Leone, 2014–2015 |
null |
| Ebola Epidemic—Liberia | 0.360263 |
| hospitals/Ebola Treatment Units | 0.312931 |
| future number | 0.350508 |
| Ebola Treatment Units | 0.753672 |
| cases | 0.582476 |
| earlier Ebola outbreaks | 0.445255 |
| Mortality Weekly Report | 0.391955 |
| safe burial practices | 0.308534 |
| available case counts | 0.328584 |
| Sierra Leone | 0.653251 |
| community setting | 0.360652 |
| actual cases | 0.215416 |
|
| Ebola cases | 0.466011 |
| current trends | 0.200213 |
| disease control methods | 0.321649 |
| actual reported beds-in-use | 0.353337 |
| underreported cases | 0.256869 |
| safe burials | 0.38927 |
| EbolaResponse modeling tool | 0.325216 |
| past outbreaks | 0.31932 |
| Ebola Treatment Unit | 0.484453 |
| underreporting correction factor | 0.336858 |
| disease transmission | 0.921936 |
|
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| 12433 |
Centers for Disease Control and Prevention |
Image |
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Protect your child from measles (200W x 200H) |
null |
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| 13800 |
Centers for Disease Control and Prevention |
Html |
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Breast Cancer Screening for Women with Disabilities | Features | CDC |
October is Breast Cancer Awareness Month. All women ages 50 to 74, including women with disabilities, should have a screening mammogram every two years as an important way to lower the risk of dying from breast cancer. |
| common type | 0.45313 |
| disability | 0.462582 |
| New York Department | 0.480417 |
| Health Data | 0.464448 |
| best way | 0.499959 |
| primary care physician | 0.483758 |
| women’s health | 0.564686 |
| health specialist | 0.46771 |
| quality mammogram | 0.521542 |
| cancer-related deaths | 0.454346 |
| health conditions | 0.477757 |
| women ages | 0.49463 |
| NYSDOH Breast | 0.510701 |
| accessible healthcare facilities | 0.480844 |
| health insurance companies | 0.506362 |
| Clinical preventive services | 0.506015 |
| Cancer Early Detection | 0.576545 |
| health promotion materials | 0.498241 |
| inform Oregon women | 0.510332 |
| Montana Women Living | 0.517661 |
| risk no woman | 0.496177 |
| insurance coverage guidelines | 0.484094 |
| U.S Preventive Services | 0.503165 |
| women | 0.621549 |
| Health promotion campaigns | 0.501119 |
|
| area mammography facilities | 0.493194 |
| Public Health | 0.464119 |
| Child Health Programs | 0.499537 |
| United States | 0.453091 |
| self-reported mammography | 0.456156 |
| physical disabilities | 0.533024 |
| limited health literacy | 0.510194 |
| medical clinic | 0.452489 |
| Holy Rosary Healthcare | 0.482824 |
| National Breast | 0.514271 |
| Montana Disability | 0.452595 |
| important way | 0.549873 |
| breast cancer awareness | 0.573237 |
| Regular mammogram screenings | 0.649787 |
| breast cancer screening | 0.767919 |
| Early Detection Program | 0.560436 |
| breast cancer | 0.942406 |
| clinical preventive services.2,3,4 | 0.50028 |
| on-line Montana Mammography | 0.49587 |
| healthcare services | 0.462331 |
| accessible mammography | 0.455383 |
| screening mammogram | 0.603519 |
| Cervical Cancer Early | 0.576908 |
| accessible screening equipment | 0.507233 |
|
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| 15893 |
Centers for Disease Control and Prevention |
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en |
Polypharmacy and Health-Related Quality of Life Among USAdults With Arthritis, Medical Expenditure Panel Survey,2010-2012 |
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. |
| MEPS prescription medications | 0.305266 |
| poverty status | 0.295206 |
| PCS scores | 0.709941 |
| MCS scores | 0.391954 |
| significantly lower PCS | 0.399223 |
| short-form health survey | 0.288139 |
| federal poverty line | 0.306023 |
| physical component summary | 0.289442 |
| prescription drugs | 0.987506 |
| chronic physical conditions | 0.363259 |
| health care providers | 0.327886 |
| mental component summary | 0.285963 |
| health insurance coverage | 0.354339 |
| health-related quality | 0.39783 |
| fewer drug classes | 0.397609 |
| polypharmacy group | 0.326688 |
| 12-item short-form health | 0.287604 |
| HRQoL measures | 0.345485 |
| rheumatoid arthritis | 0.436628 |
| lower PCS scores | 0.559797 |
| prescription drug classes | 0.325721 |
| multiple prescription medications | 0.292173 |
| arthritis | 0.52711 |
| significantly lower MCS | 0.318773 |
| disease-modifying antirheumatic drugs | 0.325409 |
|
| mean PCS scores | 0.284485 |
| polypharmacy | 0.603038 |
| obstructive pulmonary disease | 0.32234 |
| baseline MCS | 0.33919 |
| adults | 0.47967 |
| anti-inflammatory drugs | 0.285682 |
| polypharmacy groups | 0.321119 |
| prescription medications | 0.314467 |
| retrospective cohort study | 0.299653 |
| early rheumatoid arthritis | 0.298498 |
| prescription drug coverage | 0.451957 |
| low PCS scores | 0.31279 |
| Arthritis Care Res | 0.294781 |
| multiple drugs | 0.303931 |
| explanatory variables | 0.329851 |
| geographic area | 0.283938 |
| chronic conditions | 0.375418 |
| mean MCS scores | 0.289133 |
| lower MCS scores | 0.291609 |
| Health Qual Life | 0.284597 |
| average MCS scores | 0.284691 |
| et al | 0.286712 |
| drug classes | 0.896419 |
| older American Indians | 0.309774 |
|
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| 16503 |
Centers for Disease Control and Prevention |
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Guideline Resources: Posters |
null |
| primary care providers | 0.722198 |
| chronic pain | 0.987935 |
| patients | 0.305334 |
| posters | 0.275121 |
|
| Guideline | 0.315883 |
| Prescribing Opioid | 0.59694 |
| information | 0.261202 |
| chronic pain treatment | 0.841919 |
|
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