| 907 |
Centers for Disease Control and Prevention |
Html |
en |
Vital Signs: Restraint Use and Motor Vehicle Occupant Death Rates Among Children Aged 0-12 Years - United States, 2002-2011 |
Erin K. Sauber-Schatz, PhD1, Bethany A. West, MPH1, Gwen Bergen, PhD1 (Author affiliations at end of text). |
| Highway Traffic Safety | 0.292061 |
| child passenger restraint | 0.464762 |
| unrestrained child motor | 0.350249 |
| motor-vehicle occupant deaths | 0.311388 |
| significantly higher death | 0.274958 |
| motor vehicle traffic | 0.270718 |
| safety seat distribution | 0.276379 |
| children | 0.540765 |
| Fatality Analysis Reporting | 0.345015 |
| adult seat belts | 0.29614 |
| motor vehicle death | 0.329539 |
| black children | 0.310374 |
| Hispanic children | 0.300907 |
| CSS/booster seat | 0.29544 |
| National Highway Traffic | 0.292757 |
| education programs | 0.318417 |
| booster seats | 0.268878 |
| unrestrained child deaths | 0.922696 |
| higher death rates | 0.275212 |
| motor vehicle occupant | 0.60168 |
| death rates | 0.531296 |
| child restraint | 0.317309 |
| proportion | 0.313051 |
| unrestrained children | 0.294134 |
| United States | 0.431605 |
|
| age group | 0.316065 |
| passenger restraint laws | 0.424658 |
| occupant death rates | 0.380241 |
| child safety | 0.322822 |
| motor vehicle | 0.819432 |
| unrestrained deaths | 0.329576 |
| size-appropriate child restraint | 0.299092 |
| white children | 0.333106 |
| child safety seat | 0.315385 |
| Age group–specific death | 0.284697 |
| significantly higher proportion | 0.273107 |
| vehicle occupant deaths | 0.440033 |
| child safety seat/booster | 0.317163 |
| Traffic Safety Administration | 0.295146 |
| passenger restraint law | 0.290359 |
| child motor vehicle | 0.592237 |
| motor vehicle deaths | 0.461244 |
| group–specific death rates | 0.279275 |
| vehicle occupant death | 0.446809 |
| vehicle death rates | 0.324875 |
| safety seat/booster seat | 0.314199 |
| Community Preventive Services | 0.29638 |
| motor vehicle crashes | 0.476613 |
| past decade | 0.273976 |
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| 5090 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Monday, April 26, 2010 |
null |
| endorsement | 0.452073 |
| current awareness | 0.470229 |
| mercury concentrations | 0.474522 |
| findings | 0.421168 |
| Postmortem blood cadmium | 0.547264 |
| depressive symptoms | 0.480833 |
| Disease Control | 0.469475 |
| CDC Knowledge | 0.642152 |
| Action Science Clips | 0.966973 |
| Mental illness | 0.471074 |
| factual accuracy | 0.469628 |
| new weekly digest | 0.554687 |
| Quantitative analysis | 0.473117 |
| Chief Science Officer | 0.550581 |
| article | 0.419182 |
| DHHS | 0.485937 |
| persons | 0.422869 |
| public domain | 0.481394 |
| Stephen B. Thacker | 0.684533 |
| multicenter study | 0.480998 |
| items | 0.427649 |
| nasal colonization | 0.477674 |
| focal populations | 0.481023 |
| methicillin-resistant Staphylococcus aureus | 0.549268 |
| cohort | 0.416302 |
|
| farm injury trends | 0.531024 |
| Xiao | 0.416614 |
| HIV-1 incidence | 0.485258 |
| omission | 0.417428 |
| public health | 0.535618 |
| views | 0.419791 |
| drug overdose deaths | 0.541345 |
| hard hit area | 0.538282 |
| informational purposes | 0.464025 |
| major drug trafficking | 0.546561 |
| public health literature | 0.53155 |
| B. Thacker CDC | 0.784813 |
| original authors | 0.47109 |
| physical activity | 0.477608 |
| opinion | 0.418545 |
| non-CDC Websites | 0.469639 |
| original sources | 0.481042 |
| different patient populations | 0.540084 |
| latent tuberculosis infection | 0.541488 |
| news sources | 0.471887 |
| psychotropic drug | 0.481263 |
| Thacker CDC Library | 0.78471 |
| medical examiner chart | 0.535457 |
| public health research | 0.534216 |
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| 5111 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Monday, February 15, 2010 |
null |
| medical writing | 0.235679 |
| diabetes prevention | 0.248266 |
| patient education materials | 0.35343 |
| human herpesvirus | 0.253823 |
| Model construction | 0.245935 |
| current awareness | 0.227545 |
| cardiovascular risk factors | 0.343292 |
| Substantial regional differences | 0.356104 |
| Yan WW | 0.237918 |
| Disease Control | 0.231381 |
| pandemic H1N1 influenza | 0.363734 |
| CDC Knowledge | 0.532758 |
| fertility treatment | 0.231506 |
| disease epidemiology | 0.252886 |
| Action Science Clips | 0.98499 |
| KS Belt | 0.234092 |
| factual accuracy | 0.225799 |
| Chief Science Officer | 0.391916 |
| liveborn infants | 0.233656 |
| little time | 0.237265 |
| DHHS | 0.255494 |
| meningococcal disease | 0.254034 |
| Photo quiz | 0.236836 |
| public domain | 0.256807 |
| U.S. women | 0.235308 |
|
| Stephen B. Thacker | 0.639802 |
| Bayesian analysis | 0.239044 |
| brain abscesses | 0.243533 |
| United States | 0.344357 |
| health policy model | 0.375065 |
| health consequences | 0.247704 |
| clinical practice | 0.236867 |
| subclinical atherosclerosis | 0.257446 |
| Li IW | 0.244841 |
| incident cardiovascular events | 0.342036 |
| public health literature | 0.340815 |
| B. Thacker CDC | 0.802303 |
| original authors | 0.230314 |
| non-CDC Websites | 0.227248 |
| original sources | 0.261921 |
| undiagnosed type | 0.255076 |
| family history | 0.243592 |
| Koo CK | 0.246729 |
| multi-ethnic study | 0.233798 |
| news sources | 0.232489 |
| et al | 0.226054 |
| sub-saharan Africa | 0.246509 |
| Lee KL | 0.238874 |
| HIV infection | 0.225391 |
|
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| 5829 |
Centers for Disease Control and Prevention |
Html |
en |
1,3-Dichloropropene - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
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| 6150 |
Centers for Disease Control and Prevention |
Html |
en |
Motor Vehicle Injuries - Free Resources |
CDC's Winnable Battles are public health priorities with large-scale impact on health and with known, effective strategies to address them. |
| CDC campaign | 0.682329 |
| email address | 0.682001 |
| fact sheets | 0.436704 |
| Ones | 0.238562 |
| Motor Vehicle Injuries | 0.965502 |
| child safety | 0.422985 |
| CDC Winnable Battles | 0.898116 |
| active role | 0.430123 |
| presentations | 0.23904 |
| Transportation campaign | 0.426186 |
| U.S. Department | 0.413892 |
| school | 0.261091 |
| social media tools | 0.650334 |
| Vehicle Injuries Website | 0.682214 |
| muchachos al volante | 0.646455 |
| Safe Routes | 0.427225 |
| Ticket | 0.238239 |
| brochures | 0.239192 |
| work | 0.238851 |
|
| National Highway Traffic | 0.604912 |
| scientific articles | 0.435997 |
| texting | 0.269506 |
| booster seats | 0.462043 |
| briefing materials | 0.449148 |
| flyers | 0.238855 |
| following materials | 0.440163 |
| background information | 0.439179 |
| Injuries Winnable Battle | 0.84245 |
| NHTSA campaign | 0.506219 |
| policy briefs | 0.444835 |
| fatalities | 0.260731 |
| seat belt usage | 0.61981 |
| page | 0.404901 |
| PODCAST | 0.236402 |
| PowerPoint presentation | 0.43974 |
| Safety Administration | 0.41896 |
| Key | 0.239147 |
| seat belts | 0.446795 |
|
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| 6654 |
Centers for Disease Control and Prevention |
Html |
en |
QuickStats: Rate* of Nonfatal, Medically Consulted Fall Injury Episodes, by Age Group |
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. |
| mmwrq@cdc.gov. | 0.390353 |
| traumatic event | 0.38024 |
| endorsement | 0.274024 |
| Alternate Text | 0.366357 |
| Human Services | 0.488452 |
| assistive technology | 0.39923 |
| noninstitutionalized population | 0.396878 |
| National Health Interview | 0.514526 |
| MMWR HTML versions | 0.491065 |
| U.S. Department | 0.482159 |
| electronic PDF version | 0.483087 |
| e-mail | 0.26569 |
| household interviews | 0.374275 |
| health-care | 0.343596 |
| highest rate | 0.580999 |
| external cause | 0.365977 |
| fall injury episodes | 0.945284 |
| Contact GPO | 0.388839 |
| commercial sources | 0.365723 |
| telephone | 0.25794 |
| current prices | 0.358813 |
| original paper copy | 0.489561 |
| United States | 0.371911 |
| original MMWR paper | 0.485771 |
|
| age group | 0.371914 |
| adults | 0.258784 |
| overall rate | 0.583919 |
| Superintendent | 0.231171 |
| assistance | 0.232549 |
| title | 0.2323 |
| MMWR readers | 0.366989 |
| character translation | 0.358025 |
| file | 0.232707 |
| lowest rate | 0.600367 |
| format errors | 0.356966 |
| subject line | 0.394386 |
| rates | 0.293059 |
| typeset documents | 0.363725 |
| trade names | 0.365838 |
| official text | 0.353994 |
| years. Persons | 0.382682 |
| nonfatal fall injury | 0.772671 |
| non-CDC sites | 0.361806 |
| report | 0.232278 |
| confidence interval | 0.38484 |
| information | 0.232728 |
| Accommodation | 0.232321 |
| electronic conversions | 0.353471 |
|
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| 9939 |
Centers for Disease Control and Prevention |
Html |
en |
Tribal Consultation Policy - Tribal Support |
CDC/ATSDR Tribal Support is the primary link between CDC, the Agency for Toxic Substance and Disease Registry (ATSDR), and tribal governments. CDC/ATSDR’s tribal support activities focus on fulfilling CDC's supportive role in ensuring that American Indian/Alaska Native (AI/AN) communities receive public health services that keep them safe and healthy. |
| Centers | 0.522823 |
| CDC | 0.557827 |
| mutual understanding | 0.61762 |
| Indian tribes | 0.974985 |
| behalf | 0.522667 |
| unique relationship | 0.604396 |
| Prevention | 0.522768 |
| inherent right | 0.62958 |
| Disease Control | 0.624246 |
| critical role | 0.607963 |
| federal government | 0.715949 |
| members | 0.519576 |
| agency programs | 0.597426 |
| decisions | 0.543722 |
| federal agencies | 0.604257 |
| meaningful consultation | 0.605141 |
| Native populations | 0.606588 |
| Tribal Consultation Policy | 0.80446 |
|
| goal | 0.541234 |
| clear policies | 0.622357 |
| self-government | 0.571459 |
| CDC/ATSDR | 0.534036 |
| health | 0.518999 |
| people | 0.520018 |
| sovereign nations | 0.620696 |
| information exchange | 0.618501 |
| territories | 0.522509 |
| ATSDR | 0.576237 |
| decision-making | 0.52615 |
| inherent sovereign powers | 0.726446 |
| lands | 0.520709 |
| Indian tribal governments | 0.692047 |
| Disease Registry | 0.623457 |
| Toxic Substances | 0.633791 |
| government-to-government relationship | 0.622303 |
|
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| 10768 |
Centers for Disease Control and Prevention |
Html |
en |
Malaria - Features - World Malaria Day, April 25, 2014 |
Featured story on the World Health Organizations's 2009 World Malaria Report. |
| Field Epidemiology Training | 0.628139 |
| CDC | 0.429564 |
| U.S. Agency | 0.460493 |
| malaria-focused fellows | 0.542068 |
| health information | 0.430818 |
| quarterly malaria bulletins | 0.807781 |
| PMI-targeted African countries | 0.578148 |
| malaria treatment | 0.700839 |
| malaria impact evaluation | 0.817607 |
| FELTP fellow | 0.538991 |
| pregnant women | 0.527416 |
| malaria control programs | 0.864758 |
| FETP fellows | 0.912373 |
| malaria indicators | 0.706422 |
| NMCP recognize bottlenecks | 0.542556 |
| program evaluation | 0.465627 |
| Epidemic Intelligence Service | 0.555879 |
| close supervision | 0.43006 |
| Malaria Branch EIS | 0.874614 |
| rapid diagnostic test | 0.531156 |
| bed net distribution | 0.534475 |
| age groups | 0.428032 |
| Angolan FETP fellows | 0.669375 |
| insecticide-treated nets | 0.439848 |
| multidrug resistance | 0.464026 |
|
| presumptive malaria | 0.71673 |
| epidemiology on-the-job training | 0.605375 |
| U.S. President | 0.45301 |
| malaria | 0.934056 |
| Ethiopian FETP fellow | 0.606955 |
| classroom instruction | 0.434642 |
| Lunda Norte | 0.437847 |
| International Development | 0.454076 |
| sub-Saharan Africa | 0.458831 |
| Ugandan FETP fellow | 0.608613 |
| RDT performance | 0.429796 |
| regional levels | 0.436111 |
| drug dispensing outlets | 0.523596 |
| potential malaria outbreak | 0.877723 |
| primary health care | 0.537337 |
| field assignments | 0.439172 |
| malaria prevention | 0.795584 |
| Greater Mekong Subregion | 0.917633 |
| U.S. government interagency | 0.597794 |
| Oyo State | 0.437275 |
| malaria training | 0.807825 |
| Malaria Initiative | 0.801229 |
| Officer Mathew Plucinski | 0.545397 |
| research project | 0.429361 |
|
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| 11622 |
Centers for Disease Control and Prevention |
Video |
en |
Ebola and Contact Tracing |
The video describes contact tracing, a method used by CDC and partners to identify new Ebola cases quickly and isolate patients as soon as they show symptoms, preventing spread to others. The video demonstrates how even one missed contact can keep Ebola spreading and that careful tracing of contacts and isolating new cases can stop the outbreak.
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/EbolaContact/mpeg/EbolaContact.mp4 |
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CLICK HERE |
| 12578 |
Centers for Disease Control and Prevention |
Video |
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The Autism & Developmental Disabilities Monitoring Network (ADDM) |
This video contains information about the ADDM network.
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/NCBDDD/video/autism/comm_report/index.html |
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