| 1029 |
Centers for Disease Control and Prevention |
Html |
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MMWR - Differences by Sex in Tobacco Use and Awareness of Tobacco Marketing - Smoking & Tobacco Use |
CDC's Office on Smoking and Health offers information related to smoking and tobacco use. |
| smoking cessation attempts | 0.574486 |
| excise tax rates | 0.56342 |
| Adult Tobacco Surveys | 0.682198 |
| current smokers | 0.625326 |
| GATS response rate | 0.613187 |
| Framework Convention | 0.482273 |
| cigarette excise taxes | 0.604298 |
| tobacco | 0.991589 |
| representative household survey | 0.573278 |
| large difference | 0.482674 |
| indirect advertising | 0.480725 |
| World Health Organization | 0.547236 |
| MPOWER package | 0.485173 |
| countries | 0.536278 |
| tobacco industry | 0.586599 |
| tobacco products | 0.586144 |
| cigarette marketing | 0.903036 |
| statistically significant difference | 0.557729 |
| women | 0.854053 |
| smoking prevalence | 0.484569 |
| current tobacco | 0.602973 |
| young adult women | 0.566545 |
| complex interaction | 0.488683 |
| U.S. government | 0.489046 |
| Thailand | 0.598729 |
|
| tobacco advertising | 0.580812 |
| South Carolina | 0.486014 |
| gender differences | 0.485098 |
| subnational estimates | 0.499644 |
| tobacco marketing | 0.745844 |
| men | 0.672114 |
| Adult Tobacco Survey | 0.707132 |
| gender-specific pattern | 0.491051 |
| sample respondent | 0.485995 |
| Rhode Island | 0.482822 |
| social factors | 0.488419 |
| Uruguay | 0.63873 |
| Tobacco use differences | 0.602307 |
| nationally representative data | 0.569154 |
| Global Adult Tobacco | 0.847456 |
| sample design | 0.49851 |
| Tobacco Control | 0.584817 |
| older women | 0.50916 |
| data collection | 0.498978 |
| management protocols | 0.498496 |
| smokeless tobacco | 0.937641 |
| Bangladesh | 0.65118 |
| continued implementation | 0.481519 |
| average excise tax | 0.560255 |
|
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| 1036 |
Centers for Disease Control and Prevention |
Html |
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National Capacity for Surveillance, Prevention, and Controlof West Nile Virus and Other Arbovirus Infections - United States,2004 and 2012 |
James L. Hadler, MD1, Dhara Patel, MPH2, Kristy Bradley, DVM3, James M. Hughes, MD4, Carina Blackmore, DVM5, Paul Etkind, DrPH6, Lilly Kan, MPH6, Jane Getchell, DrPH7, James Blumenstock, MA8, Jeffrey Engel, MD2 (Author affiliations at end of text). |
| environmental surveillance | 0.632701 |
| Los Angeles County | 0.517851 |
| mosquito-borne virus surveillance | 0.590502 |
| current CDC guidance | 0.51559 |
| cooperative agreement funding | 0.511231 |
| arbovirus surveillance functions | 0.575188 |
| assessment | 0.534415 |
| arbovirus surveillance | 0.637264 |
| current arboviral threats | 0.58941 |
| arboviruses | 0.653869 |
| virus surveillance capacity | 0.600096 |
| standard case report | 0.512811 |
| mosquito surveillance systems | 0.665005 |
| jurisdictions | 0.566772 |
| arboviral disease case | 0.594479 |
| laboratory capacity | 0.663129 |
| recent CSTE assessment | 0.52797 |
| WNV surveillance | 0.825623 |
| mosquito-borne arboviral disease | 0.602802 |
| Mosquito surveillance capacity | 0.78616 |
| adult mosquitoes | 0.566212 |
| national surveillance platform | 0.57469 |
| laboratory surveillance capacity | 0.685941 |
| public health laboratories | 0.549957 |
| national arboviral surveillance | 0.796318 |
|
| United States | 0.600691 |
| avian mortality surveillance | 0.700449 |
| mosquito/environmental surveillance | 0.524203 |
| local health department | 0.532756 |
| arboviral activity | 0.639942 |
| adult mosquito surveillance | 0.66282 |
| additional mosquito surveillance | 0.649866 |
| city/county health departments | 0.647254 |
| health departments | 0.739603 |
| surveillance | 0.967029 |
| local health departments | 0.61328 |
| WNV | 0.861473 |
| local arboviral surveillance | 0.668523 |
| mosquito surveillance | 0.842938 |
| New York | 0.583105 |
| arboviral surveillance infrastructure | 0.792997 |
| arboviral disease | 0.627725 |
| dead bird surveillance | 0.669687 |
| active human surveillance | 0.630529 |
| mosquito pools | 0.525001 |
| West Nile virus | 0.77847 |
| arboviral surveillance capacity | 0.68102 |
| ELC funding | 0.727907 |
| current surveillance systems | 0.79938 |
|
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| 5206 |
Centers for Disease Control and Prevention |
Html |
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$10 Million Awarded to Help Reduce Health Care-Associated Infections - Press Release #2: March 14, 2011 |
$10 Million Awarded to Help Reduce Health Care-Associated Infections |
| device-associated infections | 0.433265 |
| health care treatment | 0.469564 |
| knowledge gaps | 0.439982 |
| CDC experts | 0.42022 |
| new strategies | 0.384765 |
| CDC Director Thomas | 0.517959 |
| Disease Control | 0.387716 |
| health care-associated infections | 0.624303 |
| innovative research | 0.378522 |
| biggest breakthroughs | 0.377977 |
| current knowledge | 0.385898 |
| HAIs | 0.456738 |
| innovative approaches | 0.384304 |
| ultraviolet light | 0.376248 |
| prevention epicenter program | 0.907533 |
| drug-resistant infections | 0.448067 |
| future advances | 0.374082 |
| health care settings | 0.592939 |
| new pathogens | 0.386026 |
| living microorganisms | 0.37486 |
| multi-center collaborative research | 0.434675 |
| John Jernigan M.D. | 0.447067 |
| CDC Prevention Epicenter | 0.610856 |
| new ways | 0.37849 |
| joint research projects | 0.437849 |
|
| harmful germs | 0.376533 |
| new research | 0.404261 |
| healthcare-associated infections | 0.454452 |
| great impact | 0.386446 |
| new tests | 0.381798 |
| antibiotic resistance | 0.374711 |
| academic medical centers | 0.460212 |
| Prevention Epicenters investigators | 0.499156 |
| new Prevention Epicenters | 0.513793 |
| health care problems | 0.452885 |
| health care | 0.777619 |
| HAI Prevention Research | 0.476266 |
| peer-reviewed grant applications | 0.426206 |
| prevention epicenters | 0.700947 |
| health care epidemiology | 0.448129 |
| care infection prevention | 0.484082 |
| innovative strategies | 0.380237 |
| R. Frieden | 0.392207 |
| Prevention Epicenter grant | 0.548409 |
| medical care | 0.388864 |
| single academic center | 0.426908 |
| medical devices | 0.375108 |
| healthcare settings | 0.381266 |
| past decade | 0.376737 |
|
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| 5575 |
Centers for Disease Control and Prevention |
Html |
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Mineral wool fiber - 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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| 5790 |
Centers for Disease Control and Prevention |
Html |
en |
Dicyclopentadienyl iron - 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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| 6097 |
Centers for Disease Control and Prevention |
Html |
en |
Chlorine - 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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| 7199 |
Centers for Disease Control and Prevention |
Html |
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Unintentional Drowning: Get the Facts |
null |
| three-sided property-line fencing.12 | 0.605627 |
| Injury Prevention | 0.801581 |
| swimming ability | 0.778197 |
| Product Safety Commission | 0.66366 |
| United States | 0.72293 |
| natural water settings | 0.693957 |
| children 5-19 drown | 0.6841 |
| African Americans | 0.604755 |
| children ages | 0.607222 |
| home swimming | 0.658003 |
| seizure disorders | 0.644959 |
| self-reported swimming ability | 0.728577 |
| childhood drowning | 0.718997 |
| S. Consumer Product | 0.66385 |
| unintentional injuries | 0.663367 |
| nonfatal drowning injuries | 0.840657 |
| children | 0.794212 |
| case-control study | 0.604206 |
| unsupervised water access | 0.64254 |
| water-related recreational activities | 0.619452 |
| swimming pools.2 Drowning | 0.884974 |
| young children | 0.697305 |
| formal swimming lessons | 0.910125 |
| recreational water illnesses | 0.624686 |
|
| four-sided pool fence | 0.622526 |
| Web-based Injury Statistics | 0.612106 |
| Seizure Disorder Safety | 0.616071 |
| National Center | 0.60415 |
| basic swimming skills | 0.654217 |
| life jackets | 0.912487 |
| unintentional injury death | 0.78905 |
| Consumer Product Safety | 0.663669 |
| fatal unintentional drownings | 0.710344 |
| unintentional injury-related death | 0.685837 |
| nonfatal submersion injuries | 0.625559 |
| wear life jackets | 0.717882 |
| unintentional drowning rate | 0.890953 |
| pool area | 0.749145 |
| emergency department care | 0.620585 |
| highest drowning rates | 0.837338 |
| shallow water blackout | 0.621445 |
| fatal unintentional drowning | 0.967152 |
| U. S. Consumer | 0.663859 |
| severe brain damage | 0.607158 |
| pool fencing | 0.658925 |
| motor vehicle crashes | 0.611631 |
| permanent vegetative state | 0.614223 |
|
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| 8362 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Giant Inflatable Colon and Community Knowledge, Intention, and Social Support for Colorectal Cancer Screening - CDC |
Colorectal cancer (CRC) is the second-leading cause of deaths from cancer in the United States. Screening decreases CRC deaths through early cancer detection and through removal of precancerous lesions. |
| potential colon displays | 0.463116 |
| colon cancer screenings | 0.512132 |
| giant inflatable colon | 0.585964 |
| CRC stages | 0.468992 |
| alaska native people | 0.773316 |
| CRC knowledge | 0.551432 |
| giant colon exhibits | 0.4607 |
| Alaska community members | 0.463274 |
| Alaska Native | 0.835412 |
| screening method | 0.46911 |
| interactive colon exhibits | 0.484042 |
| Alaska Tribal Health | 0.515434 |
| colorectal cancer screening | 0.579663 |
| nylon colon model | 0.489328 |
| Cancer Super Colon | 0.51755 |
| social support | 0.609301 |
| colorectal cancer | 0.607456 |
| CRC screening | 0.959501 |
| community events | 0.464513 |
| Health Interview Survey | 0.462518 |
| Alaska Native community | 0.468626 |
| colon model | 0.794332 |
| specific screening method | 0.460382 |
| Cancer Control Program | 0.457245 |
|
| human colon | 0.513328 |
| adult community members | 0.49234 |
| statewide CRC Partnership | 0.478916 |
| CRC prevention tips | 0.520678 |
| community members | 0.782222 |
| cancer screening | 0.671574 |
| Alaska Comprehensive Cancer | 0.469554 |
| Alaska Native Tribal | 0.664603 |
| Native/American Indian/Aboriginal Canadian | 0.516088 |
| Alaska Native population | 0.473903 |
| comprehensive cancer control | 0.506345 |
| CRC screening knowledge | 0.677941 |
| available screening methods | 0.467479 |
| CRC prevention | 0.543565 |
| Colon Cancer Alliance | 0.500946 |
| interactive colon model | 0.545022 |
| CRC screening rates | 0.650429 |
| CRC knowledge questions | 0.504163 |
| cancer screening utilization | 0.48903 |
| Native Tribal Health | 0.656334 |
| Alaska Native/American Indian/Aboriginal | 0.542564 |
| age-adjusted CRC incidence | 0.499893 |
| decreases CRC deaths | 0.505516 |
| Tribal Health Consortium | 0.65147 |
|
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Centers for Disease Control and Prevention |
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General | FAQ | NNPTC FOA | STD | CDC |
National Network of STD Clinical Prevention Training Centers (NNPTC) Funding Opportunity Announcement (FOA) |
| STD Clinical Prevention | 0.754673 |
| complex STD care | 0.977328 |
| current state AAPPS | 0.551804 |
| national centers | 0.553342 |
| Rocco J. Perla | 0.551977 |
| Quality Improvement Center | 0.587695 |
| previous funding cycle | 0.56915 |
| HHS region | 0.673372 |
| coaching healthcare settings | 0.671775 |
| Component A Regional | 0.565232 |
| regional center | 0.55758 |
| Technological Innovation center | 0.576671 |
| national coordination center | 0.841294 |
| Regional PTC faculty | 0.635664 |
| STD clinical care | 0.915168 |
| Quality Improvement experts | 0.555275 |
| regional ptcs | 0.708244 |
| persistent genital ulcers | 0.566862 |
| national center | 0.835515 |
| national ‘learning network | 0.600789 |
| Quality Improvement | 0.616094 |
| exact coverage area | 0.55852 |
| network connects STD | 0.680341 |
| C. Joseph McCannon | 0.550448 |
|
| Component B National | 0.609044 |
| STD site | 0.639035 |
| Current PTC awardees | 0.610929 |
| National Network | 0.559891 |
| regional ptc | 0.891945 |
| Level III sites | 0.587994 |
| point-of-care diagnostic testing | 0.573594 |
| rare clinical syndromes | 0.57808 |
| work plan | 0.567802 |
| clinical preventive services | 0.559474 |
| article Learning Networks | 0.559685 |
| additional states | 0.561261 |
| Level III STD | 0.732976 |
| national evaluation center | 0.698854 |
| National Technology Center | 0.625298 |
| safety net providers | 0.549668 |
| complex STD cases | 0.715773 |
| high level plan | 0.579439 |
| national STD Warmline | 0.7383 |
| STD sites | 0.638812 |
| organizational capacity section | 0.556929 |
| regional centers | 0.715179 |
| better STD | 0.60252 |
| PCN-allergic pregnant patient | 0.565947 |
|
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| 11737 |
Centers for Disease Control and Prevention |
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Norovirus | Symptoms |
Symptoms of norovirus include diarrhea, throwing up, nausea, stomach pain as well as fever, headache and body aches |
| alcohol | 0.457279 |
| minerals | 0.457361 |
| Sports drinks | 0.742887 |
| common symptoms— | 0.65129 |
| tears | 0.461506 |
| illnesses | 0.451931 |
| stomach | 0.469631 |
| plenty | 0.467322 |
| liquids | 0.468735 |
| counter | 0.457961 |
| people | 0.484985 |
|
| diarrhea many times | 0.679606 |
| doctor | 0.453331 |
| caffeine | 0.475306 |
| mild dehydration | 0.984615 |
| Oral rehydration fluids | 0.847047 |
| inflammation | 0.469608 |
| norovirus illness | 0.639684 |
| older adults | 0.638614 |
| young children | 0.622038 |
| acute gastroenteritis | 0.706118 |
| intestines | 0.48174 |
|
CLICK HERE |