| 5745 |
Centers for Disease Control and Prevention |
Html |
en |
Welding fumes - 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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CLICK HERE |
| 6697 |
Centers for Disease Control and Prevention |
Html |
en |
Tobacco use among Iraq- and Afghanistan-era veterans: a qualitative study of barriers, facilitators, and treatment preferences. |
Our study objective was to elicit perspectives of Iraq- and Afghanistan-era veterans who had not yet quit smoking postdeployment to inform the development of smoking cessation services for this veteran cohort. |
| unique smoking needs | 0.21528 |
| veterans | 0.834839 |
| tobacco use cessation | 0.277541 |
| smoking cessation services | 0.681241 |
| afghanistan-era veterans | 0.282132 |
| smoking cessation treatments | 0.395921 |
| smoking cessation efforts | 0.293254 |
| Medical Center | 0.275325 |
| smoking cessation pharmacotherapies | 0.311311 |
| military veterans | 0.224928 |
| focus groups | 0.207418 |
| smoking status | 0.208592 |
| OEF/OIF veterans | 0.382362 |
| tobacco | 0.349124 |
| smoking cessation complex | 0.293224 |
| service members | 0.254061 |
| participants | 0.201076 |
|
| Veterans Affairs Medical | 0.311368 |
| smoking areas | 0.200592 |
| military service | 0.461995 |
| Cigarette smoking | 0.213143 |
| VA smoking cessation | 0.308345 |
| heavy smoking | 0.203046 |
| successful quit attempts | 0.34654 |
| smoking cessation | 0.904491 |
| Durham Veterans Affairs | 0.377916 |
| focus group | 0.353476 |
| smoking cessation strategies | 0.292394 |
| smoking history | 0.206147 |
| smoking cessation classes | 0.306965 |
| smoking postdeployment | 0.265916 |
| smoking cessations services | 0.227124 |
| military personnel | 0.202228 |
|
CLICK HERE |
| 7772 |
Centers for Disease Control and Prevention |
Html |
en |
Importance of HIV Testing - Health Communication |
The Importance of HIV Testing - Gateway to Health Communication - CDC |
| new HIV infections | 0.734835 |
| sexual orientation | 0.268053 |
| Everett | 0.321819 |
| two-month-old child | 0.262109 |
| at-risk individuals | 0.26155 |
| HIV prevention | 0.420631 |
| risk behaviors | 0.279916 |
| individuals | 0.292156 |
| HIV status | 0.571835 |
| risky behaviors | 0.640548 |
| possible barriers | 0.261163 |
| Historical data | 0.268587 |
| equipment | 0.226542 |
| largest proportion | 0.268508 |
| safer behaviors | 0.292248 |
| likelihood | 0.229301 |
| human immunodeficiency virus | 0.357829 |
| injection drug needles | 0.431912 |
| unprotected sex | 0.332065 |
| heterosexual sex | 0.266311 |
| religious groups | 0.260889 |
| women | 0.242586 |
| new infections | 0.267376 |
| social communities | 0.260933 |
| significant evidence | 0.256848 |
|
| certain regions | 0.262677 |
| United States | 0.402189 |
| African Americans | 0.265345 |
| strongest barriers communities | 0.313098 |
| virus | 0.389757 |
| newly reported AIDS | 0.312388 |
| immunodeficiency syndrome | 0.278515 |
| men | 0.284743 |
| individual knows s/he | 0.327904 |
| ongoing risk | 0.257079 |
| HIV transmission | 0.557936 |
| Sharlene | 0.304066 |
| multiple partners | 0.269644 |
| unknown HIV status | 0.487533 |
| bodily fluids | 0.265537 |
| infected blood | 0.267217 |
| HIV test | 0.489621 |
| active antiretroviral therapies | 0.316713 |
| U.S. population | 0.318059 |
| people | 0.241617 |
| HIV | 0.931682 |
| treatment options | 0.264019 |
| fatal disease | 0.263269 |
| rapid HIV tests | 0.462809 |
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| 10274 |
Centers for Disease Control and Prevention |
Html |
en |
Information for Wildfire Responders |
The Centers for Disease Control and Prevention (CDC) provides information on how to stay safe and healthy before, during, and after a wildfire including avoiding health impacts from wildfire smoke and cleaning up safely. |
| areas | 0.522533 |
| office | 0.501515 |
| full-sized image | 0.945947 |
| wildfires | 0.67088 |
| landscaping | 0.547411 |
| steps | 0.539413 |
| people | 0.523212 |
| home | 0.74003 |
|
| Ready | 0.541313 |
| print | 0.502381 |
| wildfire | 0.991122 |
| homes | 0.522805 |
| risk | 0.509611 |
| Infographic | 0.501415 |
| family | 0.507414 |
|
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| 10401 |
Centers for Disease Control and Prevention |
Html |
en |
Communication Guide for Policy and Environmental Change'State Resources'DHDSP'CDC |
null |
| Environmental Change | 0.655697 |
| Stroke Prevention | 0.807152 |
| Disease Control | 0.607581 |
| disabling | 0.201683 |
| Communication Guide | 0.952608 |
|
| heart disease | 0.990318 |
| new tool | 0.668967 |
| Stroke Addendum | 0.930965 |
| Stroke–free States | 0.662722 |
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| 10545 |
Centers for Disease Control and Prevention |
Html |
en |
Salmonella data now at your fingertips | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Salmonella | 0.917868 |
| specific geographic areas | 0.542221 |
| ill person | 0.46939 |
| health care provider | 0.542938 |
| deputy director | 0.483079 |
| summarizes surveillance data | 0.566016 |
| human health | 0.488306 |
| federal health officials | 0.572343 |
| likely represent | 0.472255 |
| Disease Control | 0.490957 |
| immune systems | 0.472226 |
| foodborne cause | 0.509942 |
| stool culture | 0.476216 |
| public health officials | 0.54121 |
| major cause | 0.506004 |
| downloadable format | 0.478928 |
| CDC’s Division | 0.490658 |
| long-term health consequences | 0.536026 |
| Environmental Diseases | 0.482227 |
| DNA testing | 0.472314 |
| rare cases | 0.47986 |
| vast majority | 0.471977 |
| Salmonella bacteria | 0.698625 |
| animal feeds | 0.47369 |
| culture results | 0.473112 |
|
| human Salmonella infection | 0.750102 |
| United States | 0.750204 |
| national trends | 0.475437 |
| public health monitoring | 0.549408 |
| human salmonellosis | 0.480857 |
| life-threatening bloodstream infections | 0.603741 |
| Salmonella infections | 0.869069 |
| table chain | 0.481487 |
| food industry | 0.491304 |
| Robert Tauxe | 0.482478 |
| different serotypes | 0.473432 |
| Salmonella illness | 0.684594 |
| food poisoning | 0.490595 |
| higher risk | 0.469945 |
| health department | 0.482579 |
| hands-on web access | 0.560838 |
| Salmonella group | 0.664575 |
| medical care | 0.473378 |
| Older adults | 0.470088 |
| food safety | 0.474443 |
| human infections | 0.531369 |
| new report | 0.491059 |
| information | 0.482539 |
| visit | 0.445683 |
|
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| 10597 |
Centers for Disease Control and Prevention |
Html |
en |
MMWR News Synopsis: April 3, 2014 | CDC Media Relations | CDC |
MMWR – Morbidity and Mortality Weekly Report CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| broader implementation | 0.56205 |
| resource mobilization efforts | 0.665362 |
| control programs | 0.550973 |
| global consumption | 0.564146 |
| new target | 0.548428 |
| 20th century | 0.559652 |
| African region | 0.731339 |
| arbovirus surveillance | 0.577094 |
| effective strategies | 0.544164 |
| global deaths | 0.579786 |
| middle-income countries | 0.586189 |
| measles elimination target | 0.738806 |
| close gaps | 0.539458 |
| WNV surveillance | 0.68996 |
| country levels | 0.657773 |
| prevention measures | 0.543145 |
| tobacco products | 0.855653 |
| Territorial Epidemiologists | 0.744505 |
| HUMAN SERVICES | 0.543341 |
| cigarettes | 0.484169 |
| CDC Media Relations | 0.993972 |
| smoking prevalence | 0.556002 |
| United States | 0.551284 |
| human disease | 0.544421 |
| high-income countries | 0.593277 |
|
| possible arboviral threats | 0.707461 |
| laboratory testing capacity | 0.668872 |
| major cities | 0.552937 |
| percent | 0.562756 |
| current trends | 0.557096 |
| Council | 0.452464 |
| preventable.A modest decline | 0.693589 |
| local health department | 0.683185 |
| measles cases | 0.614806 |
| lifetime users | 0.562752 |
| arboviral activity | 0.573044 |
| population immunity | 0.540968 |
| U.S. DEPARTMENT | 0.543498 |
| high population densities | 0.722559 |
| previous peak morbidity | 0.674246 |
| Sara D. Ramey | 0.695928 |
| mosquito surveillance | 0.560458 |
| follow-up CSTE assessment | 0.669705 |
| routine vaccination | 0.542776 |
| West Nile virus | 0.675503 |
| measles preelimination goal | 0.728672 |
| federal funding | 0.84752 |
| sramey@cste.org | 0.564934 |
| Organization African region | 0.669235 |
|
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| 11712 |
Centers for Disease Control and Prevention |
Html |
en |
Assessment of Ebola Virus Disease, Health CareInfrastructure, and Preparedness - Four Counties, SoutheasternLiberia, August 2014 |
On October 7, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| county referral hospitals | 0.583814 |
| Ebola surveillance | 0.784863 |
| Ebola emergency preparedness | 0.783566 |
| Ebola infection | 0.730044 |
| additional Ebola cases | 0.752266 |
| Ebola outbreak | 0.721261 |
| case management | 0.602955 |
| Social Welfare | 0.575427 |
| additional public health | 0.576025 |
| health care facility | 0.636718 |
| health care providers | 0.716253 |
| burial practices | 0.654144 |
| Maryland County authorities | 0.567959 |
| personal protective equipment | 0.718696 |
| Global Health | 0.603728 |
| contact tracing | 0.594284 |
| southeastern Liberia | 0.691274 |
| Liberian Ministry | 0.549171 |
| Hand washing stations | 0.621947 |
| Ebola task forces | 0.753735 |
| district health officials | 0.612567 |
| outlying health centers | 0.600297 |
| health care settings | 0.620913 |
| county health office | 0.644504 |
|
| Ebola | 0.932546 |
| Ebola preparedness | 0.709063 |
| Ebola virus disease | 0.829131 |
| health care infrastructure | 0.70608 |
| County Ebola task | 0.787075 |
| Ebola disease case | 0.768968 |
| county health | 0.657985 |
| 6Clinton Health Access | 0.576679 |
| River Gee County | 0.674616 |
| Ebola cases | 0.798797 |
| Gee County health | 0.642855 |
| health care | 0.909239 |
| laboratory-confirmed Ebola | 0.694197 |
| Global Health Protection | 0.586634 |
| Local burial practices | 0.56288 |
| Ebola incident management | 0.744712 |
| Karlyn D. Beer | 0.550752 |
| Ebola surveillance systems | 0.75902 |
| community health care | 0.632324 |
| County health care | 0.655924 |
| Ebola treatment units | 0.739147 |
| Ebola case burden | 0.834078 |
| district health officer | 0.584672 |
| Joseph D. Forrester | 0.655868 |
|
CLICK HERE |
| 12447 |
Centers for Disease Control and Prevention |
Video |
en |
CDC Disease Detective Camp |
The CDC Disease Detective Camp gives rising high school juniors and seniors exposure to key aspects of the CDC, including basic epidemiology, infectious and chronic disease tracking, public health law, and outbreak investigations. The camp also helps students explore careers in public health.
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/DiseaseDetectivesCamp |
| CDC Disease Detective | 0.96204 |
|
|
CLICK HERE |
| 16093 |
Centers for Disease Control and Prevention |
Html |
en |
Data Overview |
null |
| drug overdose deaths | 0.992635 |
| pain | 0.241133 |
| heroin | 0.256486 |
| substances | 0.250985 |
| half | 0.242294 |
| opioid-involved deaths | 0.620624 |
| United States | 0.41919 |
| adults | 0.237861 |
| body | 0.235836 |
|
| brain | 0.235625 |
| intensity | 0.254111 |
| specific receptors | 0.410461 |
| races | 0.237969 |
| men | 0.238149 |
| prescription opioids | 0.757369 |
| opioid.1 Opioids | 0.631175 |
| ages | 0.237717 |
|
CLICK HERE |