| 4655 |
Centers for Disease Control and Prevention |
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Fruit and vegetable pricing by demographic factors in the Birmingham, Alabama, metropolitan area, 2004-2005 |
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| food stores | 0.546656 |
| chain grocery stores | 0.544104 |
| larger stores | 0.327439 |
| local food stores | 0.429855 |
| smaller food store | 0.329483 |
| census block group | 0.445886 |
| large grocery stores | 0.45625 |
| mixed food items | 0.329474 |
| percentage | 0.423187 |
| square miles | 0.334252 |
| poverty level | 0.532028 |
| block group level | 0.340651 |
| Birmingham MSA | 0.597458 |
| Thrifty Food Plan | 0.327688 |
| grocery stores | 0.922187 |
| neighborhood demographics | 0.441264 |
| metropolitan area | 0.434795 |
| vegetable prices | 0.425285 |
| Public Health | 0.413479 |
| fruit | 0.404687 |
| Birmingham area | 0.328306 |
| retail food stores | 0.434389 |
| Hi5+ study | 0.391757 |
| certain food types | 0.34149 |
| Alabama | 0.338192 |
|
| vegetables | 0.426182 |
| smaller stores | 0.333457 |
| regional setting | 0.322419 |
| retail food store | 0.329502 |
| Food Establishment Sanitation | 0.326199 |
| block group | 0.50414 |
| fruits | 0.407101 |
| mom-and-pop stores | 0.345398 |
| smaller food outlets | 0.322176 |
| median percentage | 0.323867 |
| food outlet type | 0.340654 |
| food environment | 0.420609 |
| unsampled grocery stores | 0.596496 |
| vegetable intake | 0.354364 |
| new stores | 0.343294 |
| food | 0.579576 |
| large chain grocery | 0.452049 |
| grocery store density | 0.395575 |
| vegetable pricing | 0.327123 |
| high school diploma | 0.899076 |
| et al | 0.323432 |
| food availability | 0.326076 |
| food outlets | 0.411689 |
| food outlet | 0.35314 |
|
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Centers for Disease Control and Prevention |
Html |
en |
Isobutyl alcohol - 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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| 6708 |
Centers for Disease Control and Prevention |
Html |
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Flavorings-Related Lung Disease: Exposures to Flavoring Chemicals |
A resource for findings and recommendations to reduce the risk of severe obstructive lung disease (bronchiolitis obliterans) associated with occupational exposures to flavorings. |
| diacetyl concentrations | 0.482382 |
| flavorings-induced lung disease | 0.443775 |
| Kashon ML | 0.465535 |
| microwave popcorn manufacturing | 0.45339 |
| Goldsmith WT | 0.534284 |
| lung disease | 0.778746 |
| flavorings mixtures | 0.463661 |
| Goravanahally MP | 0.431422 |
| microwave popcorn plant | 0.530742 |
| poorer lung function | 0.442837 |
| lung function | 0.571619 |
| flavorings exposures | 0.446817 |
| Hubbs et al | 0.608912 |
| airborne diacetyl concentrations | 0.457815 |
| butter flavoring chemicals | 0.527763 |
| Jackson MC | 0.426897 |
| butter flavoring | 0.56123 |
| microwave popcorn workers | 0.548283 |
| flavorings plants | 0.433957 |
| popcorn production plants | 0.461453 |
| fibrous connective tissue | 0.471372 |
| van Rooy FG | 0.475981 |
| flavoring substitute | 0.430495 |
| NIOSH Method | 0.452183 |
| Fedan JS | 0.486241 |
|
| chemical workers | 0.504366 |
| diacetyl exposure | 0.439134 |
| Morgan DL | 0.459931 |
| artificial butter flavoring | 0.484254 |
| diacetyl vapors | 0.464199 |
| severe lung disease | 0.534298 |
| flavoring ingredients | 0.44269 |
| diacetyl exposures | 0.471734 |
| NIOSH peer-reviewed publication | 0.450519 |
| microwave popcorn | 0.904552 |
| Flake GP | 0.466147 |
| flavoring-induced lung disease | 0.457268 |
| Price HC | 0.42836 |
| exposures NIOSH researchers | 0.487297 |
| chemical industry workers | 0.45447 |
| diacetyl | 0.641247 |
| inhaled alpha-diketone butter | 0.432003 |
| flavorings-related lung disease | 0.449481 |
| microwave popcorn plants | 0.518794 |
| diacetyl air concentration | 0.465742 |
| microwave popcorn production | 0.538596 |
| heated butter flavorings | 0.479526 |
| butter flavorings | 0.48077 |
| abnormal lung function | 0.442036 |
|
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| 7715 |
Centers for Disease Control and Prevention |
Html |
en |
Online Video: CDC-TV and YouTube - eHealth Metrics Dashboard |
CDC.gov Web Metrics Dashboard. Key performance indicators and data for CDC’s Web site, Social Media, and Campaigns. CDC is sharing this data as part of the agency’s commitment to transparent government. |
| MPEG | 0.470286 |
| CDC | 0.578571 |
| Smokers | 0.476689 |
| Kristy | 0.486462 |
| topics | 0.450281 |
| email address | 0.880243 |
| new titles | 0.686679 |
| different file formats | 0.883797 |
| Fear | 0.465175 |
|
| total | 0.449966 |
| YouTube channel | 0.719795 |
| PPT | 0.4941 |
| General Doingit PSA | 0.941115 |
| popularity | 0.472638 |
| DOC | 0.46635 |
| page | 0.499278 |
| Launch Date | 0.722194 |
| views | 0.449778 |
|
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| 8214 |
Centers for Disease Control and Prevention |
Html |
en |
Congenital Heart Defects, Facts about Atrial Septal Defect - NCBDDD |
CDC works to identify causes of birth defects and opportunities to prevent them. By applying a public health approach incorporating three essential elements—surveillance or disease tracking, research to identify causes, and prevention research and programs—we can rapidly translate scientific findings into appropriate public health interventions. |
| CDC | 0.411954 |
| health care provider | 0.563267 |
| mother | 0.414304 |
| Disease Control | 0.478012 |
| lungs | 0.424646 |
| open-heart surgery | 0.426931 |
| increased risk | 0.427989 |
| EY-tree-uhl SEP-tuhl DEE-fekt | 0.460051 |
| National Center | 0.448523 |
| heart failure | 0.431362 |
| heart defects | 0.484369 |
| risk factors | 0.455083 |
| copyright restrictions | 0.448539 |
| pregnancy | 0.423203 |
| blood vessels | 0.450263 |
| diagnosis | 0.417966 |
| adulthood | 0.422949 |
| atrial septal defect.1 | 0.539867 |
| congenital heart defect | 0.498787 |
| symptoms | 0.448423 |
| size | 0.427049 |
| common ways | 0.426737 |
| public domain | 0.446259 |
| prenatal tests | 0.426806 |
|
| abnormal heartbeat | 0.430097 |
| problems | 0.416984 |
| Developmental Disabilities | 0.447935 |
| United States | 0.429676 |
| person’s age | 0.424437 |
| babies | 0.423858 |
| Prevention | 0.41644 |
| severe symptoms | 0.425981 |
| signs | 0.416465 |
| causes | 0.411789 |
| birth defect | 0.48574 |
| known medications | 0.42649 |
| upper chambers | 0.489763 |
| private usage | 0.447591 |
| common test | 0.426423 |
| birth defects | 0.490758 |
| septum | 0.415992 |
| hole | 0.487823 |
| cardiac catheterization | 0.426619 |
| high blood pressure | 0.453046 |
| baby | 0.412005 |
| follow-up care | 0.426154 |
| atrial septal defect | 0.97595 |
| wall | 0.41896 |
|
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| 8926 |
Centers for Disease Control and Prevention |
Html |
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Vaccine Information Statement: Polio - Vaccines - CDC |
Polio Vaccine Information Statement |
| Compensation Program | 0.476381 |
| routine soreness | 0.484762 |
| need polio vaccine | 0.804535 |
| health care provider | 0.707918 |
| vision changes | 0.482302 |
| Page | 0.553631 |
| National Vaccine Injury | 0.64882 |
| IPV | 0.546024 |
| unusual behavior | 0.477076 |
| polio infection | 0.618615 |
| nearest hospital | 0.478951 |
| permanent disability | 0.500424 |
| severe allergic reaction | 0.980391 |
| children | 0.480026 |
| known risks | 0.481894 |
| fast heartbeat | 0.480354 |
| severe allergy | 0.506519 |
| Vaccine Adverse Event | 0.640764 |
| VAERS website | 0.495862 |
| life-threatening allergic reaction | 0.589683 |
| certain countries | 0.48425 |
| difficulty breathing | 0.475974 |
| shoulder pain | 0.47767 |
| problems | 0.446205 |
| vaccine components | 0.594117 |
|
| higher-risk adults | 0.485523 |
| doses | 0.488416 |
| polio vaccine | 0.8406 |
| United States | 0.565401 |
| sore spot | 0.482543 |
| medical advice | 0.481768 |
| polio vaccination | 0.641229 |
| life-threatening allergies | 0.485345 |
| remote chance | 0.477398 |
| mild illness | 0.482735 |
| combination vaccine | 0.597941 |
| Current Edition Date | 0.580666 |
| vaccine safety site | 0.645965 |
| higher risk | 0.484709 |
| disease | 0.456326 |
| time limit | 0.476604 |
| people | 0.604288 |
| certain vaccines | 0.484345 |
| person-to-person contact | 0.507344 |
| medical procedure | 0.478632 |
| infected person | 0.503589 |
| federal program | 0.478734 |
| vaccine | 0.922118 |
| VICP website. | 0.47828 |
|
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| 10205 |
Centers for Disease Control and Prevention |
Html |
en |
Earthquakes |
Information on terrorism and public health. Provided by the Centers for Disease Control and Prevention (CDC). |
| planning | 0.503406 |
| practice | 0.573595 |
| health impact | 0.915536 |
| earthquake | 0.880934 |
| emergency supplies | 0.860739 |
|
| family | 0.490571 |
| possible hazards | 0.908468 |
| actions | 0.531272 |
| advance | 0.526833 |
| preparation | 0.503734 |
|
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| 10751 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Adaptation of a Cervical Cancer Education Program for African Americans in the Faith-Based Community, Atlanta, Georgia, 2012 - CDC |
From 1999 through 2009, African American women in the United States had the second highest incidence rates of cervical cancer and were more likely to die from cervical cancer than women of other races. Con Amor Aprendemos (CAA) is an intervention created to educate the Latino community to reduce their risk for cervical cancer and diseases related to human papilloma virus (HPV). CAA was adapted to With Love We Learn (WLWL) to prevent cervical cancer and HPV in African American communities. |
| Spirit Foundation | 0.641489 |
| cancer prevention program | 0.59816 |
| program delivery | 0.58661 |
| focus group discussion | 0.712213 |
| program developers | 0.681263 |
| Flowers L. Adaptation | 0.592475 |
| CAA curriculum | 0.578951 |
| program | 0.834839 |
| adaptation summary form | 0.761669 |
| mentorship program pair | 0.591901 |
| African American population | 0.590095 |
| data collection methods | 0.584626 |
| CAA program | 0.644912 |
| American Cancer Society | 0.608206 |
| program adaptation | 0.632369 |
| American faith-based community | 0.593344 |
| original program | 0.584863 |
| cervical cancer mortality | 0.59354 |
| contracting cervical cancer | 0.602556 |
| WLWL curriculum | 0.599089 |
| program curriculum | 0.593969 |
| cervical cancer screening | 0.603982 |
| adaptation process | 0.647484 |
| Amor Aprendemos | 0.603028 |
| program changes | 0.590967 |
|
| cervical cancer | 0.938954 |
| original program mismatches | 0.576663 |
| cervical cancer incidence | 0.606432 |
| African American communities | 0.578449 |
| invasive cervical cancer | 0.605528 |
| African American community | 0.658312 |
| Research Centers Program | 0.579201 |
| National Cancer Institute | 0.652584 |
| program staff | 0.584419 |
| public health | 0.593761 |
| health ministries | 0.579744 |
| African American women | 0.750995 |
| overall program curriculum | 0.588667 |
| community organizations | 0.591181 |
| program adaptations | 0.578573 |
| focus group guide | 0.588722 |
| South Atlantic Division | 0.582802 |
| human papilloma virus | 0.589261 |
| data collection | 0.644871 |
| health ministry leaders | 0.763028 |
| evidence-based program | 0.576051 |
| focus group | 0.740472 |
| Cancer Education Program | 0.62038 |
| follow-up focus group | 0.595828 |
|
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| 16066 |
Centers for Disease Control and Prevention |
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en |
Our Vision: Regular, Affordable Eye Exams | Diabetes |
null |
| low vision | 0.521541 |
| vision service providers | 0.44487 |
| American Foundation | 0.264768 |
| United States | 0.286834 |
| vision health resources | 0.482977 |
| health care provider | 0.444489 |
| recent nationwide poll | 0.467323 |
| vision problems | 0.319655 |
| Vision Health Initiative | 0.673502 |
| financial help | 0.269862 |
| good news | 0.288616 |
| eye diseases | 0.848695 |
| small children | 0.263309 |
| vision health | 0.786752 |
| National Eye Institute | 0.464239 |
| regular eye exams | 0.72157 |
| eye exam | 0.917764 |
| life stage | 0.280369 |
| everyday activities | 0.262457 |
| best chance | 0.258439 |
| CDC Diabetes | 0.285601 |
|
| health insurance coverage | 0.440558 |
| eye exams | 0.776022 |
| higher risk | 0.431131 |
| self-help guide | 0.262748 |
| eye injuries | 0.30955 |
| separate policy | 0.270689 |
| lack vision insurance | 0.465244 |
| diabetic retinopathy | 0.274413 |
| people | 0.434535 |
| macular degeneration | 0.456472 |
| regular vision care | 0.710878 |
| brighter future | 0.267136 |
| glasses/contact lenses | 0.265289 |
| financial assistance programs | 0.399988 |
| low-cost options | 0.272972 |
| eye exam cost | 0.497558 |
| permanent vision loss | 0.481628 |
| biggest health fear | 0.493652 |
| Age-Related Macular Degeneration | 0.426067 |
| older people | 0.289422 |
|
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| 16490 |
Centers for Disease Control and Prevention |
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Quitting Smoking Among Adults - United States, 2000-2015 |MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| health insurance | 0.529804 |
| cessation rates | 0.504541 |
| light smokers | 0.530836 |
| evidence-based cessation treatments | 0.645742 |
| National Health Interview | 0.555681 |
| psychological distress | 0.721264 |
| private health insurance | 0.510765 |
| current smokers | 0.762077 |
| anti-tobacco mass media | 0.506364 |
| quadratic trend | 0.55199 |
| support group | 0.503383 |
| uninsured smokers | 0.621619 |
| bisexual smokers | 0.53208 |
| recent cessation success | 0.51092 |
| daily living | 0.632587 |
| cessation behaviors | 0.563564 |
| health care providers | 0.514462 |
| past-year quit attempt | 0.684546 |
| cessation insurance coverage | 0.506942 |
| Census poverty thresholds | 0.55808 |
| evidence-based cessation methods | 0.508226 |
| past-year quit | 0.696375 |
| cigarette smoking benefits | 0.525242 |
| cessation counseling | 0.639714 |
| Consumer Price Index | 0.631277 |
|
| instrumental activities | 0.523877 |
| persons | 0.545473 |
| mass media campaigns | 0.504248 |
| cessation treatments | 0.761137 |
| straight smokers | 0.530306 |
| advice | 0.512798 |
| dual Medicaid/Medicare eligibility | 0.548981 |
| smokers | 0.958698 |
| recent cessation | 0.622916 |
| prevalence | 0.514377 |
| health care | 0.599811 |
| smoking benefits smokers | 0.634747 |
| quadratic trend analysis | 0.523554 |
| past-year quit attempts | 0.660923 |
| adult smokers | 0.568556 |
| sample adult | 0.524984 |
| health | 0.714272 |
| cigarette smokers | 0.650804 |
| recent smoking cessation | 0.653712 |
| smoking cessation success | 0.547411 |
| white smokers | 0.534657 |
| cessation | 0.816069 |
| stop smoking clinic | 0.559027 |
| American Indian/Alaska Native | 0.549822 |
|
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