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Centers for Disease Control and Prevention |
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CDC Vital Signs: Nonfatal Motor Vehicle Injuries and Seat Belt Use Among U.S. Adults - Press Briefing Transcript: January 4, 2011 |
CDC Vital Signs: Nonfatal Motor Vehicle Injuries and Seat Belt Use Among U.S. Adults |
| injuries | 0.483368 |
| Dan DeNoon | 0.457202 |
| enormous variation | 0.453762 |
| rear seat | 0.468706 |
| effective way | 0.45872 |
| tough economic times | 0.453252 |
| Tom Skinner | 0.672328 |
| Thomas Frieden | 0.745898 |
| press star | 0.510531 |
| seat passenger | 0.468252 |
| total life time | 0.460182 |
| Carol Robidoux | 0.571771 |
| secondary enforcement laws | 0.494145 |
| national highway traffic | 0.491588 |
| seat belt laws | 0.624688 |
| Laurie Beck | 0.52911 |
| secondary seat belt | 0.514594 |
| primary enforcement laws | 0.462104 |
| real success stories | 0.457002 |
| seat belt usage | 0.511257 |
| strong seat belt | 0.539313 |
| seat belts | 0.521299 |
| Timothy Martin | 0.488405 |
| United States | 0.461852 |
| primary seat belt | 0.575269 |
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| motor vehicle crash | 0.466388 |
| young people | 0.459162 |
| states | 0.511183 |
| good news | 0.461084 |
| vehicle crash-related injury | 0.467889 |
| Vital Signs report | 0.506468 |
| question | 0.574117 |
| highway traffic safety | 0.491584 |
| Vehicle Occupant Injuries | 0.475182 |
| motor vehicle deaths | 0.471337 |
| social norm | 0.49311 |
| people | 0.482303 |
| primary versus | 0.452597 |
| monthly Vital Signs | 0.457925 |
| decrease death rates | 0.456942 |
| seat belt | 0.988118 |
| Dr. Thomas Frieden | 0.519331 |
| New Hampshire | 0.490059 |
| mandatory seatbelt laws | 0.457836 |
| motor vehicle crashes | 0.863396 |
| Mike Stobbe | 0.526802 |
| Injury Prevention Laurie | 0.464239 |
| Dr. Frieden | 0.508518 |
| adult seat belt | 0.526026 |
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Tin(IV) oxide (as Sn) - 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 |
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Global Health - South Africa - CDC Funding Opportunity Announcements |
CDC partners in South Africa with government and parastatal agencies, private institutions, universities and non-governmental organizations to improve the country’s public health foundation, to prevent transmission of HIV, to provide |
| South African Government | 0.768877 |
| Strengthening | 0.372978 |
| endorsement | 0.352126 |
| CDC | 0.337693 |
| Monday | 0.387861 |
| interested applicants | 0.551708 |
| Johannesburg | 0.400512 |
| Sandton | 0.436758 |
| HIV prevention | 0.567708 |
| capacity | 0.395688 |
| Republic | 0.337082 |
| pre-application workshops | 0.608646 |
| Content source | 0.516417 |
| AIDS Relief | 0.763921 |
| HHS | 0.356466 |
| sustainable care | 0.554382 |
| Correctional Services | 0.553065 |
| corner | 0.368341 |
| Notice | 0.335584 |
| Daisy Street | 0.749273 |
| registration details | 0.504403 |
| sponsors | 0.333225 |
| Radisson Blu Hotel | 0.98908 |
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| Application Deadline Date | 0.719187 |
| pre-application workshop | 0.587348 |
| evidence base | 0.524926 |
| Emergency Plan | 0.754832 |
| needs | 0.340771 |
| TB Prevention | 0.562249 |
| Venue | 0.378899 |
| Health | 0.34102 |
| United States Presidents | 0.724609 |
| Rivonia | 0.457201 |
| complicated HIV treatment | 0.82203 |
| PEPFAR | 0.374819 |
| treatment programs | 0.53088 |
| Systems | 0.340075 |
| quality | 0.340966 |
| FOA Team | 0.539129 |
| non-federal site | 0.53314 |
| information | 0.333177 |
| Comprehensive HIV | 0.592381 |
| salvage antiretroviral therapy | 0.79605 |
| facilities | 0.340022 |
| employees | 0.333274 |
| HIV-infected patients | 0.587099 |
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Centers for Disease Control and Prevention |
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Cholera | Diagnosis and Testing |
A review of clinical features of multiple patients who are part of a suspected outbreak of acute watery diarrhea can be helpful in identifying cholera because of the rapid spread of the disease. |
| single patient | 0.432057 |
| CDC | 0.31999 |
| rapid spread | 0.439752 |
| early warning | 0.412498 |
| Crystal VC® dipstick | 0.52988 |
| acute watery diarrhea | 0.92617 |
| gold standard | 0.420162 |
| Cary Blair media | 0.520718 |
| selective thiosulfate–citrate–bile salts | 0.525002 |
| widespread outbreak | 0.459661 |
| nationally reportable disease | 0.518038 |
| isolate | 0.326512 |
| identification | 0.359466 |
| state health department | 0.693428 |
| review | 0.322104 |
| rapid test kits | 0.521335 |
| specificity | 0.330519 |
| cholera | 0.658346 |
| potential | 0.320399 |
| stool sample | 0.4603 |
| antimicrobial susceptibility testing | 0.522035 |
|
| cholera toxin-testing | 0.535871 |
| stool specimen | 0.446155 |
| V. cholerae | 0.548574 |
| fecal specimens | 0.418096 |
| Vibrio cholerae serogroup | 0.645475 |
| routine diagnosis | 0.414393 |
| isolation | 0.386773 |
| epidemic settings | 0.418508 |
| public health officials | 0.50306 |
| multiple patients | 0.429608 |
| U.S. Commercially | 0.416984 |
| subtyping | 0.34648 |
| laboratory diagnosis | 0.415087 |
| traditional culture-based methods | 0.51194 |
| management | 0.320563 |
| Reagents | 0.320236 |
| pathogen | 0.327768 |
| sensitivity | 0.322296 |
| health department laboratories | 0.695497 |
| clinical features | 0.432449 |
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Centers for Disease Control and Prevention |
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Conference Call April 10, 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. |
| Lyme disease | 0.637092 |
| financial interests | 0.449557 |
| veterinary profession | 0.438277 |
| Universal Activity Number | 0.571306 |
| National Commission | 0.452125 |
| ANSI/IACET CEU | 0.468996 |
| AAVSB RACE approval | 0.567616 |
| planners | 0.346337 |
| commercial supporters | 0.443139 |
| Accreditation Council | 0.613278 |
| physicians | 0.355196 |
| Disease Control | 0.945508 |
| prevention | 0.481739 |
| live activity | 0.465978 |
| commercial services | 0.448987 |
| American Nurses | 0.453994 |
| symptoms | 0.359019 |
| education contact | 0.677585 |
| Master Certified Health | 0.581503 |
| commercial products | 0.449142 |
| Authorized Provider | 0.460952 |
| Old Meadow Road | 0.585845 |
| education requirements | 0.49702 |
| CNE | 0.334128 |
|
| Centers | 0.442447 |
| treatment | 0.356995 |
| AMA PRA Category | 0.6046 |
| United States | 0.480982 |
| aavsb race program | 0.748052 |
| International Association | 0.457617 |
| fever | 0.360591 |
| Certified Health Education | 0.782452 |
| CHES | 0.335848 |
| Rocky Mountain | 0.634499 |
| CECH | 0.34611 |
| tickborne diseases | 0.965212 |
| Health Education Specialists | 0.782355 |
| CDC provider number | 0.644192 |
| Health Education Credentialing | 0.645039 |
| level continuing education | 0.651924 |
| enduring 0387-0000-14-093-H04-P course | 0.571707 |
| Continuing Nursing Education | 0.671283 |
| cases | 0.353579 |
| Continuing Medical Education | 0.678372 |
| Early recognition | 0.468765 |
| IACET CEU | 0.471114 |
| pharmacy education | 0.681975 |
| maximum | 0.355799 |
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Centers for Disease Control and Prevention |
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CDC in the Field: Greg |
Watch this #CDCintheField Video Diary from Greg as he listens to the sounds of Sierre Leone outside the #Ebola Surveillance unit. |
| Field | 0.669684 |
| CDC | 0.997055 |
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Centers for Disease Control and Prevention |
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HIV Basics -Testing - HIV/AIDS |
Answers to questions such as: Why should I get tested? When should I get tested? Where can I get tested? What kind of tests are available? |
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Disparities in Adult Cigarette Smoking - United States,2002-2005 and 2010-2013 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| highest prevalence | 0.284696 |
| National Health Interview | 0.273432 |
| Puerto Ricans | 0.427906 |
| Asian Indians | 0.310491 |
| higher smoking prevalence | 0.398802 |
| whites | 0.260945 |
| current cigarette smoking§ | 0.297129 |
| respective racial/ethnic population | 0.263577 |
| tobacco | 0.287924 |
| Koreans | 0.259604 |
| current smoking | 0.271475 |
| current cigarette smoking | 0.432879 |
| wide within-group variations | 0.287963 |
| estimates | 0.273592 |
| disparities | 0.268384 |
| racial/ethnic populations/subgroups | 0.26919 |
| Health Interview Survey | 0.273464 |
| racial/ethnic populations | 0.576472 |
| significantly lower prevalence | 0.294161 |
| Asian Indian | 0.271459 |
| tobacco products | 0.275996 |
| Native Hawaiians/Pacific Islanders | 0.34099 |
| respective racial/ethnic populations | 0.268713 |
| women | 0.305708 |
| U.S. adult cigarette | 0.348773 |
|
| U.S. racial/ethnic populations | 0.272567 |
| overall prevalence | 0.424516 |
| racial/ethnic population categories | 0.302265 |
| differences | 0.310122 |
| significant changes | 0.265632 |
| adult cigarette smoking | 0.47949 |
| cigarette smoking | 0.976203 |
| men | 0.310592 |
| disaggregated racial/ethnic subgroups | 0.280963 |
| cigarette smoking prevalences | 0.40126 |
| disproportionately higher smoking | 0.389312 |
| American Indians/Alaska Natives | 0.642813 |
| evidence-based cessation services | 0.286146 |
| overall cigarette smoking | 0.3854 |
| comprehensive smoke-free policies | 0.292355 |
| Asian subgroups | 0.284824 |
| U.S. adults | 0.27122 |
| cigarette smoking prevalence | 0.827021 |
| Hispanic subgroups | 0.324753 |
| disproportionately higher prevalences | 0.260528 |
| Puerto Rican | 0.27484 |
| self-reported cigarette smoking | 0.338635 |
| highest cigarette smoking | 0.391394 |
| higher smoking prevalences | 0.300571 |
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Centers for Disease Control and Prevention |
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Two thirds of US adults believe pharmacies should not sell tobacco |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| American adults | 0.398756 |
| representative web-based survey | 0.441063 |
| tobacco-free pharmacy laws | 0.473024 |
| current cigarette smokers | 0.499856 |
| tobacco product sales | 0.554963 |
| Disease Control | 0.396894 |
| established concern | 0.37906 |
| CDC’s Office | 0.388515 |
| chronic disease management | 0.440266 |
| annual revenues | 0.387165 |
| Director Tom Frieden | 0.47747 |
| Corinne Graffunder | 0.386854 |
| preventable cause | 0.470206 |
| American Journal | 0.394936 |
| tobacco products | 0.927251 |
| retail pharmacy stores | 0.44015 |
| Porter Novelli | 0.381888 |
| Selling tobacco products | 0.566923 |
| de-normalize tobacco | 0.479431 |
| evidence-based cessation support | 0.45708 |
| Tobacco-free pharmacy policies | 0.466275 |
| tobacco-free pharmacy | 0.479772 |
| nearly half | 0.464056 |
| professional obligation | 0.381959 |
| tobacco-related diseases | 0.386182 |
|
| tobacco sales | 0.475823 |
| non-cigarette tobacco users | 0.692227 |
| CVS Health | 0.464435 |
| health consequences | 0.384879 |
| smoking-related illness | 0.380442 |
| percent | 0.689588 |
| cigarette smoking | 0.453284 |
| visit http://www.smokefree.gov | 0.376052 |
| cessation resources | 0.387152 |
| non-Hispanic blacks | 0.392956 |
| tobacco product advertising | 0.545819 |
| non-Hispanic whites | 0.391058 |
| better support | 0.383241 |
| pharmacies | 0.551894 |
| new policy | 0.385078 |
| national retail pharmacy | 0.460865 |
| U.S. adults | 0.379558 |
| Summer Styles | 0.378763 |
| cigarette smokers | 0.619632 |
| Preliminary data | 0.385484 |
| impulse purchases | 0.384069 |
| Additional Findings | 0.385271 |
| Preventive Medicine | 0.395813 |
| FDA-approved medications | 0.386885 |
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FastStats - Electronic Medical Records/Electronic Health Records (EMRs/EHRs) |
null |
| Microsoft PowerPoint file | 0.657746 |
| White non-Hispanic Population | 0.657157 |
| Records/Electronic Health Records | 0.73519 |
| Cardiovascular Cerebrovascular Disease | 0.652556 |
| Microsoft Word file | 0.66136 |
| Mental Health Alzheimer | 0.733664 |
| Electronic Health Record | 0.913157 |
| Health Insurance Coverage | 0.730677 |
| Child Health | 0.670935 |
| Microsoft Excel file | 0.656382 |
| Obstructive Pulmonary Disease | 0.655056 |
| Nursing Home Care | 0.676324 |
| Infant Health | 0.667078 |
| Long Term Care | 0.667782 |
| Chronic Liver Disease | 0.652675 |
| page options Skip | 0.692137 |
| Men’s Health | 0.661957 |
| National Electronic Health | 0.800796 |
| different file formats | 0.659115 |
| Mexican American Population | 0.644856 |
| Apple Quicktime file | 0.651953 |
| Health Statistics | 0.713408 |
| Health Care | 0.808663 |
| Hospice Care Agencies | 0.653431 |
| FastStats Mobile Application | 0.65653 |
|
| Health Records Survey | 0.734899 |
| Electronic Health Records | 0.912026 |
| Adobe PDF file | 0.663672 |
| American non-Hispanic Population | 0.662965 |
| Care Ambulatory Care | 0.719239 |
| Electronic Information Sharing | 0.662356 |
| Electronic Medical Records | 0.820553 |
| United States | 0.701991 |
| Reproductive Health | 0.695494 |
| Hospice Care | 0.655108 |
| email address | 0.730687 |
| office-based physicians | 0.684018 |
| Search Form Controls | 0.80084 |
| Home Health Care | 0.775134 |
| Residential Care Communities | 0.767963 |
| Ambulatory Health Care | 0.75328 |
| Health Record Adoption | 0.786006 |
| Groups Adolescent Health | 0.721093 |
| Search Controls | 0.67551 |
| Certified Electronic Health | 0.750376 |
| Health Expenditures | 0.67577 |
| Ethnicity Health | 0.662496 |
| Health Records Systems | 0.731958 |
| Dental Health | 0.678687 |
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