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Centers for Disease Control and Prevention |
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Demeton - NIOSH Pocket Guide to Chemical Hazards |
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| 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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Centers for Disease Control and Prevention |
Html |
en |
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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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 |
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| 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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| 6568 |
Centers for Disease Control and Prevention |
Html |
null |
Toxicological Profiles | ATSDR |
By Congressional mandate, the Agency for Toxic Substances and Disease Registry (ATSDR) produces toxicological profiles for hazardous substances found at National Priorities List (NPL) sites. These hazardous substances are ranked based on frequency of occurrence at NPL sites, toxicity, and potential for human exposure. |
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| 9788 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Health Care Providers™ Recommendations for Physical Activity and Adherence to Physical Activity Guidelines Among Adults With Arthritis - CDC |
Physical activity is beneficial for reducing pain and improving health-related quality of life among people with arthritis. However, physical inactivity is prevalent among people with arthritis. Health care providers’ recommendations act as a catalyst for changes in health behavior. |
| logistic regression model | 0.36598 |
| self-reported physical activity | 0.362441 |
| people’s adherence | 0.355203 |
| Health Services Administration | 0.343259 |
| Risk Factor Surveillance | 0.349036 |
| arthritis literature | 0.356364 |
| recommendations | 0.457609 |
| moderate-intensity physical activity | 0.36503 |
| behavior change recommendations | 0.342674 |
| low adherence | 0.336481 |
| poor health status | 0.346186 |
| health care providers | 0.693518 |
| provider-diagnosed arthritis | 0.333981 |
| physical activity guidelines | 0.436719 |
| health-related quality | 0.327899 |
| provider’s recommendations | 0.332435 |
| body mass index | 0.341375 |
| Introduction
Physical activity | 0.369954 |
| questionnaire records respondents | 0.333086 |
| behavior changes | 0.338347 |
| arthritis population | 0.330233 |
| health status | 0.366272 |
| physical activity engagement | 0.355588 |
| respondents | 0.351397 |
|
| arthritis | 0.428072 |
| comorbidities | 0.327094 |
| physical activity module | 0.370155 |
| physical activity guidelines. | 0.362281 |
| Behavioral Risk Factor | 0.349068 |
| adults | 0.343029 |
| association | 0.357625 |
| physical activity. | 0.331917 |
| activity limitations | 0.368443 |
| marital status | 0.338177 |
| overall poor health | 0.366178 |
| moderate-level physical activity | 0.357135 |
| physician-diagnosed arthritis | 0.331755 |
| multivariable logistic regression | 0.367873 |
| adherence | 0.453175 |
| additional health conditions | 0.328284 |
| health care coverage | 0.397501 |
| people | 0.404943 |
| people’s arthritis | 0.337586 |
| physical activity | 0.988173 |
| overall health status | 0.333308 |
| arthritis management module | 0.357427 |
| personal physician | 0.35444 |
| physical inactivity | 0.335983 |
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| 11452 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health |
Diseases can cross communities and borders, but CDC responds whenever and wherever there is an infectious disease threat. |
| Field Epidemiology Training | 0.593034 |
| CDC | 0.486646 |
| Global Disease Detection | 0.910332 |
| safe water | 0.419853 |
| —Sonia Hegde | 0.412547 |
| investigative tools | 0.39078 |
| human face | 0.380497 |
| HIV infections | 0.403992 |
| AIDS Relief | 0.399865 |
| agony | 0.239588 |
| decline | 0.237273 |
| public health systems | 0.589224 |
| health professionals | 0.427135 |
| Emergency Plan | 0.406188 |
| test results | 0.3939 |
| polio cases | 0.423608 |
| countries | 0.449473 |
| critical step | 0.419241 |
| Diseases | 0.24028 |
| detectives | 0.24018 |
| page | 0.241874 |
| Disease Detection Center | 0.571437 |
| Nipah fever | 0.428047 |
| remote hospital | 0.396327 |
| human suffering | 0.383047 |
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| MPH-ASPH Fellow | 0.392184 |
| access | 0.237227 |
| health threats | 0.426938 |
| borders | 0.287933 |
| misery | 0.240035 |
| scientific community | 0.391608 |
| boy | 0.259895 |
| sanitation | 0.241266 |
| world | 0.362171 |
| PDF | 0.241853 |
| U.S. | 0.24016 |
| Bangladeshi patients | 0.411552 |
| inflammation | 0.284917 |
| Nipah virus | 0.4332 |
| 2M | 0.254484 |
| CDC staff | 0.481223 |
| Disease Detection Centers | 0.601114 |
| brain | 0.261154 |
| people | 0.272336 |
| severe respiratory problems | 0.56417 |
| PEPFAR program | 0.395018 |
| greatest need | 0.391995 |
| global disease outbreaks | 0.620332 |
| highly trained disease | 0.590688 |
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| 12143 |
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 |
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| 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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| 12712 |
Centers for Disease Control and Prevention |
Video |
en |
Me? Have another baby? Preconception Health |
If you've already started your family, this is a wonderful time to care of yourself—and plan for the future. You already have goals and dreams for your child and family but now is a good time to take care of your own health as well. Preconception health means taking care of your own health now to make sure that whenever you're ready to have another baby, you'll be healthy for yourself and your future baby.
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://www.cdc.gov/CDCTV/PreHealth_Maria/index.html |
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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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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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