| 638 |
Centers for Disease Control and Prevention |
Html |
en |
Smoke-Free Policies Reduce Smoking - Smoking & Tobacco Use |
Secondhand Smoke Fact Sheets. |
| Tobacco Smoke | 0.280923 |
| Task Force | 0.33591 |
| tobacco use cessation | 0.313945 |
| Apr | 0.302292 |
| smokefree laws | 0.973021 |
| Human Services | 0.322131 |
| smokefree policies | 0.506602 |
| consistent evidence | 0.23692 |
| U.S. Department | 0.32231 |
| sufficient evidence | 0.243756 |
| successful cessation | 0.227893 |
| Health Promotion | 0.225441 |
| tobacco use prevalence | 0.343788 |
| Priva Kalra | 0.22559 |
| tobacco | 0.451188 |
| tobacco users | 0.317834 |
| Legislative Smoking Bans | 0.473573 |
| Reduce Tobacco | 0.294822 |
| general population1-6 | 0.235305 |
| weak smoking restrictions | 0.504949 |
| U.S. Surgeon General | 0.346928 |
| Adolescent Smoking Initiation | 0.488875 |
| Smoke-Free Policies | 0.353491 |
| smokefree workplaces | 0.430492 |
| American Journal | 0.311825 |
|
| highest level | 0.314219 |
| International Agency | 0.331462 |
| total tobacco consumption | 0.397713 |
| Local Restaurant Smoking | 0.476931 |
| Secondhand Smoke Exposure | 0.29043 |
| smoking prevalence | 0.798891 |
| Health Consequences | 0.223106 |
| British Medical Journal | 0.30401 |
| Smoking Behaviour | 0.371828 |
| covered workers. | 0.225948 |
| Smoke-Free Workplaces | 0.265506 |
| Multilevel Contextual Analysis | 0.301539 |
| primary purpose | 0.235058 |
| cigarette consumption | 0.225347 |
| strong evidence | 0.33766 |
| workplace smoking restrictions | 0.554914 |
| smoking initiation | 0.530929 |
| active smoking | 0.414745 |
| Tobacco Control | 0.277712 |
| systematic review | 0.44634 |
| Cochrane review | 0.230922 |
| Chronic Disease Prevention | 0.304497 |
| Callinan JE | 0.225823 |
| Community Preventive Services | 0.539583 |
|
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| 679 |
Centers for Disease Control and Prevention |
Html |
en |
Surgeon General's Report - Smoking & Tobacco Use |
Surgeon General's Reports on Smoking and Tobacco Use by year. |
| United States | 0.600604 |
| General’s reports | 0.572763 |
| fact sheets | 0.572021 |
| M.D. | 0.432741 |
| Access | 0.428141 |
| Luther L. Terry | 0.79072 |
| health consequences | 0.5759 |
| 50th anniversary | 0.604142 |
| consumer booklet | 0.587194 |
| Surgeon General | 0.910971 |
|
| federal government report | 0.708071 |
| Advisory Committee | 0.598641 |
| new data | 0.570536 |
| complete report | 0.567547 |
| Public Health Service | 0.755153 |
| series | 0.429387 |
| smoking | 0.527537 |
| progress | 0.431536 |
| landmark | 0.441344 |
| tobacco control | 0.586619 |
|
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| 1327 |
Centers for Disease Control and Prevention |
Html |
en |
Measles Outbreak in an Unvaccinated Family and a PossiblyAssociated International Traveler - Orange County, Florida,December 2012-January 2013 |
Tania A. Slade, MPH1, Benjamin G. Klekamp, MSPH1, Edhelene Rico, MPH2, Alvaro Mejia-Echeverry, MD2 (Author affiliations at end of text). |
| robust public health | 0.558017 |
| urgent care contacts | 0.571167 |
| health care provider | 0.586322 |
| measles exposure notification | 0.821768 |
| measles elimination | 0.683537 |
| public health authorities | 0.578361 |
| Measles cases | 0.695909 |
| urgent care clinic | 0.785316 |
| health care facility | 0.67259 |
| health care providers | 0.654353 |
| additional cases | 0.588918 |
| theme park | 0.818517 |
| infectious periods | 0.556523 |
| urgent care facility | 0.648065 |
| Miami urgent care | 0.56934 |
| measles vaccination | 0.655935 |
| child care contacts | 0.629823 |
| measles case | 0.728184 |
| measles virus RNA | 0.79021 |
| public health response | 0.634999 |
| health care settings | 0.576635 |
| febrile rash illness | 0.663382 |
| public health agencies | 0.56035 |
| Orlando-area theme park | 0.748521 |
| measles infection | 0.649075 |
|
| measles transmission | 0.62592 |
| exposure notification letters | 0.634108 |
| United States | 0.767888 |
| infectious period | 0.583188 |
| Public Health Laboratories | 0.63877 |
| Tania A. Slade | 0.615234 |
| child care facility | 0.659956 |
| urgent care facilities | 0.563789 |
| care facility contacts | 0.556172 |
| high population immunity | 0.565766 |
| exposure period | 0.605693 |
| child care | 0.826988 |
| Florida Department | 0.735702 |
| local health departments | 0.557356 |
| public health | 0.818374 |
| health care | 0.738031 |
| measles exposure | 0.863103 |
| care facility | 0.760366 |
| Orange County | 0.837504 |
| pediatric urgent care | 0.819913 |
| urgent care | 0.854635 |
| rash onset | 0.676143 |
| measles | 0.998866 |
| Public health officials | 0.56439 |
|
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| 4575 |
Centers for Disease Control and Prevention |
Html |
en |
November 09, 2009: States Where Persons Infected with the Outbreak Strain of E. coli O157:H7 Live, United States, by State | E. coli CDC |
Get the latest CDC information on the recent infections from ground beef, and find out what you can do to protect yourself and your family. |
| O157 | 0.415243 |
| cluster | 0.350488 |
| CDC | 0.326019 |
| United States | 0.616271 |
| Maine | 0.319414 |
| ongoing case finding | 0.491683 |
| advanced secondary DNA | 0.486648 |
| strains | 0.32509 |
| human isolates | 0.413858 |
| number | 0.33564 |
| Massachusetts | 0.319504 |
| ill persons | 0.406793 |
| Beef | 0.322224 |
| E. coli | 0.92108 |
| outbreak strain | 0.748083 |
|
| secondary tests | 0.402763 |
| H7 Live | 0.545352 |
| Outbreak Investigations | 0.483445 |
| genetic associations | 0.404089 |
| New York | 0.401489 |
| California | 0.319614 |
| New Jersey | 0.401805 |
| Fairbank Farms | 0.435125 |
| persons | 0.442845 |
| New Hampshire | 0.402122 |
| Connecticut | 0.319554 |
| H7 Infections Associated | 0.632985 |
| Maryland | 0.319464 |
| Multistate Outbreak | 0.493577 |
| laboratory testing | 0.40601 |
|
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| 7347 |
Centers for Disease Control and Prevention |
Html |
en |
Increases in Quitline Calls and Smoking Cessation Website Visitors During a National Tobacco Education Campaign - March19-June 10, 2012 |
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. |
| paid-media tobacco education | 0.475651 |
| NCI smoking cessation | 0.577362 |
| CDC | 0.497966 |
| cessation rates | 0.494535 |
| unique visitors | 0.687254 |
| additional calls | 0.65634 |
| tobacco education media | 0.648408 |
| unique website visitors | 0.60812 |
| reach increase cessation | 0.518998 |
| tobacco control programs | 0.49638 |
| weekly calls | 0.482136 |
| SmokefreeTXT text-messaging cessation | 0.504186 |
| Internet-based cessation programs | 0.503782 |
| American Quitline Consortium | 0.50224 |
| Smokers Campaign | 0.491922 |
| state media campaigns | 0.47769 |
| comprehensive state tobacco | 0.476432 |
| smoking cessation website | 0.673441 |
| national tobacco education | 0.536303 |
| cessation website | 0.825729 |
| mass media campaigns | 0.560461 |
| North American Quitline | 0.504895 |
| Smokers national tobacco | 0.504478 |
| TIPS campaign advertisements | 0.488171 |
|
| weekly telephone calls | 0.48964 |
| smokers | 0.583409 |
| cessation website address | 0.528534 |
| cessation resources | 0.507034 |
| education media campaigns | 0.55599 |
| National Cancer Institute | 0.624758 |
| quitline portal number | 0.517341 |
| TIPS campaign | 0.931479 |
| TIPS campaign period | 0.50436 |
| media campaigns | 0.628622 |
| adult smokers | 0.478568 |
| free cessation medications | 0.500839 |
| state tobacco control | 0.505178 |
| cigarette smokers | 0.477455 |
| Chronic Disease Prevention | 0.50047 |
| additional unique visitors | 0.570652 |
| adequate reach | 0.483587 |
| national portal | 0.542033 |
| weekly unique visitors | 0.520939 |
| tobacco education campaign | 0.532293 |
| campaign advertising purchases | 0.488067 |
| education media campaign | 0.518135 |
| cessation assistance | 0.511429 |
| total attempted calls | 0.498399 |
|
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| 8789 |
Centers for Disease Control and Prevention |
Html |
null |
Preventing Chronic Disease | Impact of a Hospital-Level Intervention to Reduce Heart Disease Overreporting on Leading Causes of Death - CDC |
The quality of cause-of-death reporting on death certificates affects the usefulness of vital statistics for public health action. Heart disease deaths are overreported in the United States. We evaluated the impact of an intervention to reduce heart disease overreporting on other leading causes of death. |
|
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| 8831 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Nutritional Assessment of Free Meal Programs in San Francisco - CDC |
Free meals often serve as a primary food source for adults living in poverty, particularly the homeless. We conducted a nutritional analysis of 22 meals from 6 free meal sites in San Francisco to determine macronutrient and micronutrient content. |
| internal nutritional standards | 0.489106 |
| limited financial resources | 0.443671 |
| San Francisco Department | 0.458658 |
| nutritional content standards | 0.533895 |
| nutritional value | 0.450153 |
| nutritious meals | 0.545027 |
| soup kitchen menus | 0.489301 |
| healthful meals | 0.608593 |
| warm meals | 0.606028 |
| daily meals | 0.614231 |
| Public Health Nutrition | 0.43444 |
| daily intake | 0.524826 |
| indirect nutritional analysis | 0.500491 |
| sodium content | 0.446058 |
| unmet nutritional needs | 0.515042 |
| primary food source | 0.567154 |
| Francisco General Hospital | 0.518528 |
| Hunger Environ Nutr | 0.440924 |
| meals | 0.976918 |
| nutritional analysis | 0.507308 |
| moderately active man | 0.431634 |
| Public Health | 0.547504 |
| free meal sites | 0.50495 |
| V. Nutritional assessment | 0.475467 |
|
| meals clients | 0.592783 |
| average carbohydrates | 0.447335 |
| General Internal Medicine | 0.509757 |
| Public Health Nutr | 0.461918 |
| important nutritional assessments | 0.483547 |
| nutritional quality | 0.486759 |
| standard meals | 0.565179 |
| soup kitchens | 0.749181 |
| suboptimal nutrient intake | 0.456044 |
| USDA reference standards | 0.433691 |
| equicaloric meals | 0.677252 |
| single meals | 0.585964 |
| San Francisco General | 0.523953 |
| Public Health Food | 0.45008 |
| charitable meal programmes | 0.437352 |
| soup kitchen | 0.644867 |
| special meals | 0.565536 |
| free meals | 0.868337 |
| San Francisco | 0.920134 |
| daily recommended intake | 0.71468 |
| California San Francisco | 0.459562 |
| Public Health Service | 0.433059 |
| United States Department | 0.435771 |
| MR. Food sources | 0.431274 |
|
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| 10572 |
Centers for Disease Control and Prevention |
Html |
en |
The Center to Protect Workers' Rights: Electronic Library of Construction Safety and Health (eLCOSH) |
null |
| Georgia Ave | 0.515493 |
| Building | 0.255185 |
| construction workers | 0.566535 |
| Construction Trades Department | 0.812016 |
| U.S. Centers | 0.533302 |
| related Web sites | 0.768046 |
| Occupational Safety | 0.532441 |
| AFL-CIO | 0.291109 |
| affiliate unions | 0.533494 |
| Training | 0.30555 |
| Prevention | 0.255808 |
| Suite | 0.253655 |
| Postings | 0.259314 |
| Construction Research | 0.731062 |
| Disease Control | 0.532723 |
| E-mail | 0.252981 |
| CPWR | 0.287148 |
| Development | 0.257074 |
| Spanish | 0.254763 |
|
| National Institute | 0.535814 |
| eLCOSH | 0.924156 |
| item | 0.260873 |
| goal | 0.26102 |
| languages | 0.254634 |
| construction safety | 0.946573 |
| health | 0.485206 |
| rare exceptions | 0.544081 |
| English | 0.254828 |
| cpwrwebsite | 0.252915 |
| research arm | 0.524927 |
| Electronic Library | 0.570251 |
| materials | 0.317586 |
| information | 0.313847 |
| Silver Spring | 0.4953 |
| grant | 0.255727 |
| Fax | 0.255342 |
| items | 0.252894 |
|
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| 15909 |
Centers for Disease Control and Prevention |
Html |
en |
Adults with One or More Functional Disabilities - UnitedStates, 2011-2014 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| socioeconomic status indicators | 0.560985 |
| multiple disabilities | 0.508324 |
| mobility disability | 0.487554 |
| Human Services | 0.601793 |
| questions | 0.490004 |
| lower socioeconomic status | 0.50577 |
| National Health Interview | 0.530816 |
| high school education | 0.614192 |
| disability type categories | 0.520421 |
| U.S. Department | 0.554909 |
| number | 0.523745 |
| Golden C. Disability | 0.498952 |
| disability types | 0.997335 |
| Considerable socioeconomic disparities | 0.514349 |
| working-age adults | 0.746411 |
| functional disability types | 0.594002 |
| E. Socioeconomic disparities | 0.50666 |
| generally consistent pattern | 0.586032 |
| income-to-poverty ratio | 0.555084 |
| Health Interview Survey | 0.530507 |
| independent living | 0.625463 |
| persons | 0.554507 |
| public health practice | 0.492208 |
| socioeconomic characteristics | 0.567333 |
|
| socioeconomic status variables | 0.551068 |
| common disability type | 0.517634 |
| labor force status | 0.480009 |
| low socioeconomic status | 0.872478 |
| CDC health disparities | 0.517677 |
| United States | 0.518427 |
| specific disability type | 0.519596 |
| individual disability types | 0.541304 |
| disability prevalence | 0.480286 |
| independent living.§ Disability | 0.514342 |
| population-based health surveys | 0.53532 |
| public health | 0.632761 |
| U.S. Public Health | 0.481316 |
| T. Health disparities | 0.484885 |
| U.S. adults | 0.509218 |
| health | 0.634978 |
| public health programs | 0.593479 |
| multiple disability types | 0.559376 |
| labor force | 0.681122 |
| disabilities | 0.630295 |
| specific disability types | 0.523367 |
| social participation | 0.496279 |
| family component | 0.4928 |
| disability type | 0.714182 |
|
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| 16449 |
Centers for Disease Control and Prevention |
Html |
en |
US Adults' Perceptions of the Harmful Effects DuringPregnancy of Using Electronic Vapor Products Versus SmokingCigarettes, Styles Survey, 2015 |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| conventional cigarette smoke | 0.357568 |
| data | 0.275239 |
| harm perceptions | 0.319982 |
| electronic cigarettes | 0.314779 |
| lifetime | 0.280531 |
| conventional cigarettes | 0.342458 |
| pregnant women | 0.751305 |
| current cigarette smokers | 0.646086 |
| particularly cigarette smokers | 0.30307 |
| Disease Control | 0.329075 |
| smoking cigarettes | 0.296869 |
| tobacco | 0.305887 |
| health care providers | 0.316849 |
| higher percentage | 0.282857 |
| pregnancy | 0.408536 |
| nonreproductive aged women | 0.401647 |
| EVP users | 0.983298 |
| respondents | 0.425053 |
| tobacco products | 0.281182 |
| EVPs | 0.585717 |
| reproductive aged women | 0.498471 |
| EVP advertising | 0.3306 |
| survey | 0.291731 |
| cigarettes | 0.451287 |
| electronic hookahs | 0.295547 |
|
| cigarette smoking status | 0.361886 |
| fewer harmful constituents | 0.467033 |
| electronic vapor products | 0.519665 |
| conventional cigarette smoking | 0.398149 |
| EVP aerosol | 0.369101 |
| adults | 0.361611 |
| EVP products | 0.339703 |
| Century Smoke | 0.292946 |
| electronic cigars | 0.294291 |
| cigarette smoking | 0.776597 |
| current evp users | 0.709928 |
| regular cigarettes | 0.317008 |
| nicotine-containing products | 0.279752 |
| electronic pipes | 0.292825 |
| non-Hispanic whites | 0.298722 |
| vape pens | 0.293671 |
| public health | 0.30529 |
| harmful effects | 0.34822 |
| electronic vapor product | 0.309314 |
| hookah pens | 0.293778 |
| annual household income | 0.525963 |
| conventional cigarette | 0.432292 |
| Chronic Disease Prevention | 0.330973 |
| concurrent cigarette smoking | 0.316992 |
|
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