| 6086 |
Centers for Disease Control and Prevention |
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Osmium tetroxide - NIOSH Pocket Guide to Chemical Hazards |
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| 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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| 6221 |
Centers for Disease Control and Prevention |
Html |
en |
MMWR News Summary: August 25, 2011 |
MMWR News Summary: August 4, 2011 |
| new CDC report | 0.791146 |
| local restrictions | 0.777774 |
| youth access blocks | 0.724885 |
| data | 0.452681 |
| nation’s girls | 0.60363 |
| 3-dose HPV vaccine | 0.896307 |
| Parents | 0.461706 |
| youth tobacco | 0.691937 |
| underage tobacco sales | 0.836546 |
| number | 0.448923 |
| Disease Control | 0.576255 |
| community efforts | 0.56677 |
| local governments | 0.575639 |
| sharp contrast | 0.570611 |
| immunization partners | 0.806018 |
| HPV disease | 0.70111 |
| strong community mobilization | 0.708128 |
| minority teens | 0.574967 |
| U.S. girls | 0.583635 |
| national teen vaccination | 0.767066 |
| CDC Division | 0.980899 |
| tobacco products | 0.829054 |
| tobacco consumption | 0.690399 |
| HUMAN SERVICES | 0.565856 |
| preemptive legislation | 0.579771 |
|
| strong recommendations | 0.575243 |
| healthcare providers | 0.765537 |
| State legislation | 0.573843 |
| HPV vaccination | 0.731533 |
| youth access | 0.891765 |
| tobacco advertising | 0.932184 |
| Electronic Media | 0.917788 |
| states | 0.468373 |
| higher standard | 0.567367 |
| U.S. DEPARTMENT | 0.564541 |
| News | 0.488896 |
| Evidence | 0.451971 |
| National Immunization Survey-Teen | 0.769881 |
| summary | 0.452173 |
| meningococcal meningitis—continue | 0.59155 |
| Coverage rates | 0.580668 |
| daughter’s vaccination | 0.620362 |
| local smoking | 0.573386 |
| secondhand smoke exposure | 0.712806 |
| comprehensive restrictions | 0.626735 |
| health protection. | 0.570845 |
| cervical cancer. | 0.586559 |
| HPV series | 0.697188 |
| past decade | 0.570067 |
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Centers for Disease Control and Prevention |
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Partner Success Stories - Seasonal Influenza (Flu) |
National Influenza Vaccination Partnerships Partner Success Stories - CDC |
| elementary school students | 0.537722 |
| CDC | 0.210527 |
| at-risk Americans. | 0.366356 |
| National Foundation | 0.331904 |
| influenza vaccination coverage | 0.708384 |
| childhood immunization barriers | 0.533036 |
| flu vaccines | 0.770282 |
| school-based program | 0.355493 |
| Disease Control | 0.332151 |
| best protection | 0.344858 |
| national non-profit organization | 0.52989 |
| flu vaccination | 0.794011 |
| Santa Rosa County | 0.502332 |
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| Vote | 0.217525 |
| Walgreens Pharmacy | 0.415824 |
| Vax organization | 0.435829 |
| influenza vaccinations | 0.616114 |
| flu vaccinations | 0.805628 |
| Wildwood New Jersey | 0.61437 |
| Cape May County | 0.36749 |
| School program | 0.349845 |
| National Association | 0.330778 |
| influenza awareness | 0.488032 |
| flu shot | 0.974867 |
| large patient base | 0.560347 |
| Infectious Diseases | 0.333027 |
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| 9929 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Monitoring Progress in Population Health: Trends in Premature Death Rates - CDC |
Trends in population health outcomes can be monitored to evaluate the performance of population health systems at the national, state, and local levels. The objective of this study was to compare and contrast 4 measures for assessing progress in population health improvement by using age-adjusted premature death rates as a summary measure of the overall health outcomes in the United States and in all 50 states. |
| baseline period | 0.26685 |
| premature death rate | 0.393187 |
| follow-up period | 0.263816 |
| age-adjusted death rates | 0.28789 |
| greatest improvement | 0.271172 |
| health outcomes | 0.353533 |
| current premature death | 0.389437 |
| overall health outcomes | 0.289054 |
| population health model | 0.265857 |
| population health systems | 0.291911 |
| trends | 0.512915 |
| broad health care | 0.284397 |
| recent trends | 0.258215 |
| population health | 0.55988 |
| premature death rates | 0.957856 |
| follow-up premature death | 0.287861 |
| death rate trends | 0.307311 |
| health care quality | 0.249175 |
| follow-up trends | 0.326055 |
| baseline trends | 0.298622 |
| long-term population health | 0.291346 |
| Population Health Sciences | 0.274671 |
| cause-specific death rates | 0.255042 |
| current death rates | 0.258789 |
| premature mortality | 0.252506 |
|
| population health performance | 0.258838 |
| Population Health Institute | 0.274689 |
| United States | 0.46265 |
| changes | 0.280178 |
| health rankings | 0.267485 |
| states | 0.471607 |
| age-adjusted premature death | 0.448561 |
| West Virginia | 0.258646 |
| Health Science Learning | 0.248956 |
| population health curve | 0.259605 |
| population health improvement | 0.303513 |
| health care | 0.296621 |
| public health | 0.296306 |
| 50 states | 0.276706 |
| New York | 0.299157 |
| figure | 0.248241 |
| statewide population health | 0.27086 |
| improvement | 0.319836 |
| New Jersey | 0.288875 |
| Wide-ranging Online Data | 0.27087 |
| annual percentage change | 0.306173 |
| New Mexico | 0.296224 |
| population health outcomes | 0.293787 |
| population health impact | 0.290621 |
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| 10008 |
Centers for Disease Control and Prevention |
Html |
en |
Greta Massetti, Conversations with the CDC Director |
The CDC Director’s webpage offers information on Dr. Thomas Frieden, who became the agency’s 16th director in June 2009. The pages features information on Dr. Frieden’s Weekly Focus, the Latest from Dr. Frieden (his RSS feed), and links to his bio, statements, videos, press releases, media appearances, photos, presentations, and speeches. |
| 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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CLICK HERE |
| 11557 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Self-Reported Physical Activity Among Middle-Aged Cancer Survivors in the United States: Behavioral Risk Factor Surveillance System Survey, 2009 - CDC |
Regular physical activity (PA) can improve health outcomes in cancer survivors, but the rate of adherence to PA recommendations among middle-aged survivors is unclear. We examined adherence to PA recommendations among cancer survivors and controls. We sought to identify correlates of adherence to PA and to determine whether PA adherence is associated with health-related quality of life (HRQOL) among cancer survivors. |
| cancer treatment | 0.371363 |
| high school | 0.358395 |
| sedentary cancer survivors | 0.503606 |
| mental health | 0.401318 |
| poor physical health | 0.385078 |
| meeting PA guidelines | 0.369839 |
| middle-aged cancer survivors | 0.449662 |
| control subjects | 0.438407 |
| long-term cancer survivors | 0.41183 |
| PA adherence | 0.549356 |
| vigorous-intensity PA | 0.397692 |
| PA levels | 0.351659 |
| initial cancer treatment | 0.367135 |
| sedentary survivors | 0.411979 |
| PA adherence category | 0.391149 |
| previous studies | 0.372153 |
| diverse cancer types | 0.354192 |
| Cancer Survivorship Research | 0.35717 |
| health-related quality | 0.354153 |
| somewhat active survivors | 0.401623 |
| American breast cancer | 0.357202 |
| poor mental health | 0.384965 |
| cancer diagnosis | 0.373984 |
| suboptimal PA adherence | 0.389064 |
| breast cancer survivors | 0.479794 |
|
| moderate-intensity PA | 0.397715 |
| PA guidelines | 0.606449 |
| Male survivors | 0.378913 |
| regular physical activity | 0.367865 |
| cancer survivors | 0.955133 |
| clinical factors | 0.352065 |
| HRQOL | 0.378018 |
| cancer type | 0.3736 |
| United States | 0.368292 |
| Anderson Cancer Center | 0.373538 |
| poor overall health | 0.358738 |
| female survivors | 0.378776 |
| survivor adherence | 0.350496 |
| University Cancer Foundation | 0.35779 |
| PA recommendations | 0.488452 |
| emotional support | 0.38253 |
| PA intervention program | 0.354714 |
| MD Anderson Cancer | 0.373358 |
| comorbidity count | 0.362615 |
| design PA interventions | 0.362268 |
| middle-aged survivors | 0.393888 |
| PA | 0.675203 |
| multivariable linear regression | 0.395444 |
| multinomial logistic regression | 0.364975 |
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Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Prevalence, Knowledge, andPractices of Hookah Smoking Among University Students, Florida,2012 - CDC |
Although hookah smoking is becoming a source of tobacco use among college students in the United States, little is known of the students’ knowledge, attitudes, and practices regarding hookah use. This cross-sectional study was aimed at determining the prevalence of hookah use and describing social and behavioral factors associated with hookah smoking among university students in a large urban university in Florida. |
| hookah smoking initiation | 0.693499 |
| current hookah | 0.738476 |
| new hookah | 0.668842 |
| cigar smoking | 0.467717 |
| United States | 0.496726 |
| Tobacco control activities | 0.467412 |
| large urban university | 0.496409 |
| smoking tobacco | 0.487343 |
| 1-hour hookah smoking | 0.730481 |
| students | 0.538753 |
| current hookah smokers | 0.65572 |
| hookah ownership | 0.721239 |
| cigarette smoking | 0.737357 |
| hookah users | 0.717005 |
| prevalence | 0.507388 |
| hookah bar | 0.668902 |
| college students | 0.521996 |
| future studies | 0.485144 |
| hookah device ownership | 0.633878 |
| fewer smoking hookah | 0.705132 |
| new hookah establishments | 0.630592 |
| logistic regression modeling | 0.501987 |
| hookah smoking | 0.976922 |
|
| Current hookah usage | 0.654245 |
| current cigarette smoking | 0.520403 |
| university settings | 0.481387 |
| hookah lounges | 0.620643 |
| Hookah tobacco smoking | 0.739751 |
| private hookah | 0.672918 |
| health behavior change | 0.466955 |
| hookah usage | 0.661879 |
| high school students | 0.50026 |
| hookah products | 0.625371 |
| smoking methods | 0.466482 |
| hookah smoking cafés | 0.684834 |
| personal hookah | 0.645709 |
| concurrent cigarette smoking | 0.500272 |
| new hookah cafes | 0.666487 |
| Current hookah users | 0.655169 |
| current hookah smoking | 0.729242 |
| hookah safety | 0.638973 |
| alternative smoking mechanisms | 0.481049 |
| water pipe | 0.479412 |
| hookah bars | 0.637613 |
| hookah lounge | 0.618421 |
| hookah harmfulness | 0.639981 |
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Centers for Disease Control and Prevention |
Html |
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Raw Pet Food | CDC Features |
Pet owners have a variety of food choices to give their pets, even raw food. But some germs have been found in raw pet foods that can make pets and people sick, including Salmonella and Listeria monocytogenes. Learn how to protect your pet and yourself from disease. |
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Centers for Disease Control and Prevention |
Html |
en |
Announcement: National Teen Driver Safety Week - October18-24, 2015 |
During 2004–2013, the number of teens aged 13–19 years who died in motor vehicle crashes declined by 55% from 5,645 to 2,524 (1). During the same period, the rate of passenger vehicle drivers aged 16–19 years involved in fatal crashes decreased 56%, from 34.7 to 15. |
| endorsement | 0.365558 |
| adult supervision | 0.446614 |
| Human Services | 0.552146 |
| greater participation | 0.449121 |
| MMWR HTML versions | 0.562488 |
| U.S. Department | 0.548186 |
| nighttime | 0.330621 |
| number | 0.327715 |
| electronic PDF version | 0.550693 |
| youngest drivers | 0.462834 |
| mandatory holding period | 0.574988 |
| Additional information | 0.558562 |
| Contact GPO | 0.469139 |
| crash risk | 0.457871 |
| commercial sources | 0.44535 |
| young passengers | 0.447724 |
| safe teen driving | 0.581488 |
| current prices | 0.439808 |
| persons | 0.327255 |
| permits | 0.347687 |
| original paper copy | 0.544495 |
| teen crash fatalities | 0.611086 |
| encouraging trends | 0.447998 |
| original MMWR paper | 0.557186 |
|
| U.S. Government Printing | 0.550282 |
| learning-to-drive process | 0.454249 |
| teens | 0.385987 |
| longer practice periods | 0.582069 |
| MMWR readers | 0.450689 |
| driver licensing | 0.450551 |
| character translation | 0.437898 |
| National Teen Driver | 0.580401 |
| high risk conditions | 0.584488 |
| format errors | 0.438559 |
| declines | 0.334143 |
| fatal crashes | 0.679142 |
| Health | 0.341649 |
| passenger vehicle drivers | 0.613858 |
| typeset documents | 0.445355 |
| trade names | 0.445454 |
| provisional license holders | 0.792363 |
| official text | 0.436141 |
| minimum age | 0.56307 |
| non-CDC sites | 0.44349 |
| comprehensive GDL systems | 0.881165 |
| learners | 0.35103 |
| motor vehicle crashes | 0.93962 |
| electronic conversions | 0.435215 |
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| 15520 |
Centers for Disease Control and Prevention |
Html |
en |
Glossary of Influenza (Flu) Terms |
A glossary of flu terminology and associated definitions used by CDC. |
| influenza | 0.900274 |
| avian influenza | 0.753076 |
| Asian HPAI H5N1 | 0.225428 |
| United States | 0.293901 |
| avian influenza viruses | 0.401063 |
| novel influenza | 0.364849 |
| pandemic flu vaccine | 0.234503 |
| influenza A viruses | 0.63152 |
| flu vaccine | 0.306957 |
| flu activity | 0.224698 |
| pandemic influenza | 0.250396 |
| flu vaccines | 0.21992 |
| annual U.S. influenza | 0.205 |
| flu virus infection | 0.228215 |
| H5N1 influenza viruses | 0.417179 |
| influenza virus infection | 0.340359 |
| immune response | 0.224985 |
| pathogenic avian influenza | 0.621786 |
| pandemic influenza preparedness | 0.244909 |
| spray flu vaccine | 0.230019 |
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| influenza A virus | 0.238134 |
| influenza vaccine | 0.245851 |
| HPAI H5 viruses | 0.200649 |
| viruses | 0.696271 |
| HPAI H5N1 viruses | 0.251816 |
| Influenza B viruses | 0.310189 |
| candidate vaccine viruses | 0.282232 |
| bird flu virus | 0.343666 |
| flu illness | 0.272995 |
| Seasonal influenza viruses | 0.383324 |
| flu A virus | 0.228025 |
| Variant influenza viruses | 0.332954 |
| human seasonal influenza | 0.218196 |
| highly-pathogenic avian influenza | 0.248283 |
| bird flu | 0.3723 |
| influenza viruses | 0.520932 |
| influenza virus | 0.514369 |
| flu season | 0.254636 |
| current seasonal influenza | 0.216535 |
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