| 1029 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
en |
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 |
|
CLICK HERE |
| 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 |
|
CLICK HERE |
| 6774 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Vietnam |
Since 1998, CDC has partnered in Vietnam with the government and local and international organizations to build quality sustainable health systems, providing long-term public health impact and protecting the health of Vietnamese and Americans at home and abroad. |
| Vietnam’s borders | 0.526933 |
| viral respiratory pathogens | 0.454531 |
| prevention control practices | 0.450893 |
| locally produced flu | 0.457829 |
| infectious diseases | 0.479152 |
| biosecurity practices | 0.463024 |
| infectious disease threats | 0.465908 |
| novel influenza viruses | 0.49882 |
| Program evaluation data | 0.462243 |
| antimicrobial resistance | 0.458036 |
| critical public health | 0.506934 |
| infectious disease outbreaks | 0.49527 |
| laboratory capacity | 0.456367 |
| critical core response | 0.457016 |
| health programs | 0.488253 |
| long-term public health | 0.541338 |
| immediate antiretroviral treatment | 0.456641 |
| handson scientific approaches | 0.456977 |
| new HIV cases | 0.494306 |
| community-level early warning | 0.607498 |
| laboratory management systems | 0.473598 |
| animal health laboratories | 0.481315 |
| influenza vaccine policies | 0.504863 |
| public health impact | 0.654397 |
|
| public health management | 0.523246 |
| sustainable health systems | 0.550533 |
| Global Health Security | 0.49968 |
| emergency operations centers | 0.461607 |
| Epidemiology Training Program | 0.455511 |
| disease outbreaks | 0.54317 |
| National Influenza Centers | 0.517826 |
| emergency systems | 0.47228 |
| Chronic Respiratory Diseases | 0.472447 |
| CDC Vietnam | 0.932244 |
| lab information systems | 0.472848 |
| Longstanding CDC programs | 0.585601 |
| HIV testing labs | 0.490349 |
| future public health | 0.5039 |
| technical assistance | 0.460799 |
| Infant mortality rate | 0.460149 |
| public health emergency | 0.512856 |
| public health | 0.815008 |
| national health systems | 0.549317 |
| CIA World Factbook | 0.465163 |
| hands-on technical assistance | 0.449258 |
| live bird markets | 0.450869 |
| Vietnam’s preparedness | 0.545408 |
| influenza viruses | 0.549654 |
|
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| 7199 |
Centers for Disease Control and Prevention |
Html |
en |
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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| 9449 |
Centers for Disease Control and Prevention |
Html |
es |
Capacitación para administrar y diseminar encuestas sobre índices de ambiente nutricional (NEMS). |
null |
| alto nivel | 0.517004 |
| ambiente nutricional | 0.927649 |
|
| amplia diseminación | 0.495905 |
| Estados Unidos | 0.680598 |
|
CLICK HERE |
| 9862 |
Centers for Disease Control and Prevention |
Html |
en |
Mycotic Diseases - DFWED - NCEZID |
Division of Foodborne, Waterborne, and Environmental Diseases homepage (DFWED). DFWED is part of the National Center for Emerging and Zoonotic Infectious Diseases. |
| Fungal Epidemiology Team | 0.554089 |
| term fungal disease | 0.554574 |
| public health problems | 0.335011 |
| antifungal drug testing | 0.319937 |
| international partners | 0.34765 |
| Fungal Serology Laboratory | 0.535525 |
| fungal health threats | 0.528416 |
| immune systems | 0.292907 |
| fungal public health | 0.576388 |
| serologic testing methods | 0.295075 |
| fungal diseases | 0.812194 |
| Global Fungal Diseases | 0.533593 |
| Antifungal Testing Laboratory | 0.325848 |
| Mycotic Disease Branch | 0.325243 |
| specimen submission information | 0.290706 |
| fungal isolates | 0.560908 |
| organ transplant recipients | 0.289977 |
| public health officials | 0.307932 |
| healthcare practices | 0.301995 |
| public health groups | 0.335648 |
| fungal molecular subtyping | 0.528437 |
| international public health | 0.381146 |
| public health laboratories | 0.381668 |
| Fungal Reference Laboratory | 0.54651 |
| Laboratory Standards Institute | 0.291657 |
|
| opportunistic fungal infections | 0.572433 |
| recent fungal disease | 0.564276 |
| fungal bloodstream infection | 0.562535 |
| fungal outbreaks | 0.539685 |
| fungal organisms | 0.491012 |
| medically important fungi | 0.311696 |
| antifungal susceptibility testing | 0.400891 |
| public health community | 0.334394 |
| Fungal Service Team | 0.545265 |
| laboratory staff members | 0.297736 |
| cost-effective prevention guidelines | 0.299734 |
| Hospital-associated infections | 0.298714 |
| public health | 0.694342 |
| future outbreaks | 0.272737 |
| Opportunistic infections | 0.304072 |
| mycotic diseases | 0.276854 |
| human fungal pathogens | 0.631235 |
| public health mycology | 0.311694 |
| Fungal Research Team | 0.532441 |
| fungal infections | 0.930134 |
| drug-resistant fungi | 0.275012 |
| Identification Training Course | 0.291751 |
| newest research findings | 0.286059 |
| fungal disease outbreaks | 0.672623 |
|
CLICK HERE |
| 11546 |
Centers for Disease Control and Prevention |
Html |
en |
Children and Sodium | Digital Press Kit | CDC Online Newsroom |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| 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 |
|
CLICK HERE |
| 16284 |
Centers for Disease Control and Prevention |
Html |
en |
FastStats - AIDS and HIV |
null |
| United States | 0.921505 |
| figures | 0.432647 |
| Household Population Aged | 0.983402 |
| U.S. Household Population | 0.733645 |
| Final Data | 0.578461 |
| Hispanic origin Health | 0.721229 |
| National Health Interview | 0.732491 |
| Source | 0.502699 |
| selected causes | 0.571822 |
| tables | 0.431632 |
| PDF | 0.596136 |
|
| HIV Testing | 0.584727 |
| MB | 0.657329 |
| data table | 0.575453 |
| KB | 0.490159 |
| Early release | 0.592894 |
| Family Growth | 0.688366 |
| Deaths | 0.441106 |
| HIV Risk-Related Behaviors | 0.733499 |
| States Household Population | 0.723802 |
| National Survey | 0.665285 |
| Age-adjusted death rates | 0.720816 |
|
CLICK HERE |