| 6304 |
Centers for Disease Control and Prevention |
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en |
"Please tell me, is it safe to go home?" After 9/11, science offers comfort |
Please tell me, is it safe to go home? After 9/11, science offers comfort; Rear Admiral Sven Rodenbeck, Sc.D. recalls his involvement in the aftrmath of the attacks on the world trade center. |
| natural fit | 0.479344 |
| big concern | 0.477736 |
| immediate concerns | 0.483189 |
| environmental health | 0.541737 |
| World Trade Center | 0.563778 |
| empathetic ear | 0.483387 |
| fine coat | 0.486073 |
| common light microscope | 0.569216 |
| emotional level | 0.47528 |
| exceptional bridge | 0.480142 |
| Long Island | 0.56795 |
| light microscope | 0.571178 |
| 9/11 | 0.445157 |
| analysis | 0.439845 |
| transmission electron microscope | 0.581779 |
| HEPA vacuum | 0.472827 |
| wet mop methods | 0.529309 |
| kitchen table | 0.643256 |
| community leader | 0.485061 |
| residents | 0.453125 |
| public health assessments | 0.547968 |
| Admiral Sven Rodenbeck | 0.571239 |
| Technical answers | 0.476287 |
| apartments | 0.469735 |
| indoor living conditions | 0.550816 |
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| fiberglass fibers | 0.536459 |
| asbestos | 0.528118 |
| 59th street | 0.476226 |
| asbestos fibers | 0.504192 |
| condominiums | 0.431339 |
| Lower Manhattan | 0.82109 |
| frequent cleaning | 0.469689 |
| hearing community concerns | 0.560738 |
| analytic mind | 0.479689 |
| residential buildings | 0.474892 |
| huge consideration | 0.469492 |
| York City Health | 0.551783 |
| environmental samples | 0.52771 |
| nation–our security | 0.483413 |
| science degree | 0.472928 |
| question | 0.442735 |
| twin towers | 0.483087 |
| potential cancer risk | 0.5467 |
| health concerns | 0.483211 |
| electron microscope procedures | 0.932877 |
| outdoor sampling | 0.480024 |
| people | 0.445544 |
| Wall Street | 0.481885 |
| Disease Registry | 0.482091 |
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| 6411 |
Centers for Disease Control and Prevention |
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en |
MMWR News Summary: November 17, 2011 |
MMWR News Summary: November 3, 2011 |
| salad bars | 0.312028 |
| proportion | 0.201257 |
| United States | 0.309873 |
| vegetable consumption | 0.336701 |
| Nutrition Study | 0.307554 |
| blood units | 0.332757 |
| farmers markets | 0.306243 |
| vegetables | 0.258168 |
| Electronic Media | 0.776074 |
| farm-to-school initiatives | 0.306725 |
| sub-Saharan Africa | 0.339874 |
| AIDS Relief | 0.318117 |
| fruits | 0.215231 |
| blood collection | 0.343021 |
| environmental approaches | 0.305701 |
| U.S. DEPARTMENT | 0.300783 |
| News | 0.218888 |
| adequacy | 0.232586 |
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| national blood supplies | 0.538574 |
| PEPFAR support | 0.525357 |
| blood transfusion services | 0.91434 |
| Emergency Plan | 0.324047 |
| blood unit collections | 0.512126 |
| non-remunerated donors | 0.318603 |
| CDC
Division | 0.394935 |
| Youth Physical Activity | 0.481267 |
| school gardens | 0.306651 |
| high school students | 0.977753 |
| countries | 0.21451 |
| national blood policy | 0.511888 |
| median consumption | 0.35354 |
| transfusion-transmitted HIV infection | 0.932793 |
| progress | 0.23286 |
| legislative framework | 0.315332 |
| HUMAN SERVICES | 0.302485 |
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| 8850 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | A Church-Based Diet and Physical Activity Intervention for Rural, Lower Mississippi Delta African American Adults: Delta Body and Soul Effectiveness Study, 2010"2011 - CDC |
Obesity, diabetes, and hypertension have reached epidemic levels in the largely rural Lower Mississippi Delta (LMD) region. We assessed the effectiveness of a 6-month, church-based diet and physical activity intervention, conducted during 2010 through 2011, for improving diet quality (measured by the Healthy Eating Index-2005) and increasing physical activity of African American adults in the LMD region. |
| significant increases | 0.589878 |
| intervention participation level | 0.626547 |
| control group | 0.599703 |
| church-based dietary intervention | 0.620465 |
| participation intervention group | 0.612973 |
| intervention group | 0.695853 |
| LMD region | 0.576487 |
| original intervention | 0.592008 |
| increase physical activity | 0.593413 |
| physical activity changes | 0.582223 |
| Intervention church committees | 0.613504 |
| high-participation intervention | 0.646944 |
| intervention functions | 0.591417 |
| didactic physical activity | 0.576463 |
| physical activity outcomes | 0.579914 |
| underactive regular light | 0.576697 |
| current intervention | 0.591066 |
| physical activity component | 0.577304 |
| aerobic physical activity | 0.632498 |
| low participation intervention | 0.602723 |
| 6-month intervention | 0.592843 |
| intervention participants | 0.682188 |
| physical activity intervention | 0.664363 |
| intervention | 0.811892 |
| strength/flexibility physical activity | 0.629302 |
|
| intervention churches | 0.608221 |
| study | 0.582706 |
| Agricultural Research Service | 0.584389 |
| intervention effects | 0.634229 |
| intervention components | 0.587133 |
| high-participation intervention subgroup | 0.597831 |
| educational sessions | 0.668155 |
| diet quality components | 0.589075 |
| lifestyle intervention | 0.605909 |
| African American adults | 0.861327 |
| LMD African American | 0.591077 |
| clinical outcomes | 0.600542 |
| intervention effect | 0.588792 |
| African American churches | 0.605015 |
| intervention activities | 0.612942 |
| high-participation intervention group | 0.638855 |
| intervention dose | 0.58034 |
| self-directed physical activity | 0.595449 |
| physical activity indicators | 0.583414 |
| physical activity | 0.990658 |
| vehicle ownership | 0.635554 |
| intervention schedule | 0.579912 |
| diet quality | 0.764882 |
| significant dietary intervention | 0.614855 |
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| 9811 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Evaluating Public Health Resources: What Happens When Funding Disappears? - CDC |
Although various factors affect the sustainability of public health programs, funding levels can influence many aspects of program continuity. |
| fewer program activities | 0.513087 |
| obesity prevention programs | 0.499054 |
| obesity program development | 0.491473 |
| government public health | 0.487428 |
| NPAO grant program | 0.501652 |
| funding sources | 0.508881 |
| Disease Control | 0.489841 |
| funding levels | 0.533166 |
| state health departments | 0.776399 |
| obesity prevention | 0.645399 |
| public health systems | 0.487122 |
| additional funding | 0.518044 |
| obesity prevention partnerships | 0.493785 |
| funding stream | 0.488386 |
| state plan | 0.562516 |
| Public Health Resources | 0.501973 |
| CDC NPAO grant | 0.572173 |
| obesity prevention initiatives | 0.518648 |
| funding changes | 0.501237 |
| long-term program success | 0.504165 |
| public health finance | 0.487119 |
| chronic disease | 0.494241 |
| Ariela M. Freedman | 0.501697 |
| public health infrastructure | 0.487075 |
| state-identified high-priority work | 0.497955 |
|
| state program funding | 0.54155 |
| new funding requirements | 0.569399 |
| public health funding | 0.63104 |
| funding discontinuation | 0.504068 |
| states | 0.695441 |
| major public health | 0.486624 |
| state programs | 0.507932 |
| CDC funding | 0.508961 |
| state health department | 0.52031 |
| technical assistance | 0.513937 |
| public health work | 0.494243 |
| funding support | 0.490868 |
| public health | 0.919877 |
| key informant interviews | 0.503509 |
| funding | 0.789254 |
| best practice strategies | 0.495397 |
| public health programs | 0.6109 |
| funding delays | 0.489124 |
| competitive funding | 0.49834 |
| physical activity | 0.649632 |
| individual public health | 0.487393 |
| health funding decisions | 0.598007 |
| funding source | 0.502623 |
| public health action | 0.486519 |
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| 11151 |
Centers for Disease Control and Prevention |
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en |
Ryan White Act of 2009 - NIOSH Workplace Safety and Health Topic |
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| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
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| 13007 |
Centers for Disease Control and Prevention |
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en |
Kristy's Biography | Real Stories | Tips From Former Smokers |
Kristy tried using e-cigarettes to quit smoking, but she kept smoking regular cigarettes along with e-cigarettes. She kept on smoking until her lung collapsed. The Tips From Former Smokers campaign features real people suffering as a result of smoking and exposure to secondhand smoke. |
| terrifying | 0.425989 |
| smoking-related disease | 0.503976 |
| dad | 0.42129 |
| electronic cigarettes | 0.528039 |
| cough | 0.425902 |
| long-haul truck driver | 0.592858 |
| mother | 0.444642 |
| road | 0.44754 |
| stressful events | 0.507121 |
| deep smoker | 0.518667 |
| energy | 0.421481 |
| family members | 0.611344 |
| 7-year-old daughter | 0.513236 |
| packs | 0.422093 |
| somebody | 0.45583 |
| friends | 0.424963 |
| lung | 0.604681 |
| regular smoker | 0.517031 |
| obstructive pulmonary disease | 0.596552 |
| powerful pain medicine | 0.596382 |
| fact | 0.422243 |
| Kristy | 0.955838 |
| Tennessee | 0.424844 |
| right lung | 0.534699 |
| older sister | 0.519895 |
|
| smokers | 0.420766 |
| life | 0.436612 |
| footsteps | 0.427032 |
| Tests | 0.422264 |
| wake-up call—sudden | 0.513706 |
| emphysema | 0.424381 |
| cigarette smoking | 0.519122 |
| breath | 0.487569 |
| regular cigarettes | 0.727522 |
| small town | 0.523916 |
| young age | 0.494063 |
| hospital | 0.476923 |
| kids | 0.445641 |
| lung diseases | 0.525456 |
| smoking many times | 0.507118 |
| chest tubes | 0.509825 |
| e-cigarettes | 0.475707 |
| people | 0.438452 |
| way | 0.422945 |
| home | 0.446702 |
| afternoon | 0.421845 |
| money | 0.420975 |
| collapsed lung | 0.546865 |
| COPD | 0.450795 |
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| 13417 |
Centers for Disease Control and Prevention |
Html |
null |
Vaccines: VPD-VAC HepB |
Hepatitis B vaccine info for parents, public, and healthcare professionals |
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| 13487 |
Centers for Disease Control and Prevention |
Html |
en |
Bicyclist Deaths Associated with Motor Vehicle Traffic -United States, 1975-2012 |
Jason Vargo, PhD1; Benjamin G. Gerhardstein, MPH2; Geoffrey P. Whitfield, PhD3; Arthur Wendel, MD3. |
| age-adjusted cyclist mortality | 0.562894 |
| cyclist deaths | 0.48624 |
| cyclist mortality | 0.972461 |
| 38-year study period | 0.495257 |
| bicycle road safety | 0.378265 |
| children | 0.389161 |
| Fatality Analysis Reporting | 0.374595 |
| age-specific cyclist mortality | 0.585223 |
| FARS fatalities | 0.39251 |
| FARS | 0.42079 |
| Benjamin G. Gerhardstein | 0.371149 |
| motor vehicle–related deaths | 0.381795 |
| 48 states | 0.371261 |
| Geoffrey P. Whitfield | 0.370983 |
| program.* Age-adjusted mortality | 0.461902 |
| bicycle trips | 0.377786 |
| FARS variables | 0.370917 |
| age-adjusted mortality rates | 0.527013 |
| study period | 0.606808 |
| age groups | 0.429718 |
| lower mortality rates | 0.456284 |
| adult cyclist deaths | 0.450561 |
| overall mortality rate | 0.488237 |
| entire study period | 0.381233 |
| unit time bicycling | 0.375295 |
|
| bicyclist deaths | 0.387979 |
| national collision data | 0.379456 |
| Annual cyclist fatalities | 0.456537 |
| United States | 0.499793 |
| total bicycle deaths | 0.39318 |
| 100,000 | 0.374192 |
| motor vehicle | 0.399672 |
| recent cyclist mortality | 0.497082 |
| cyclist mortality trends | 0.549878 |
| Traffic Safety Administration | 0.377902 |
| cyclist mortality rates | 0.743306 |
| state mortality rates | 0.456547 |
| cyclist mortality rate | 0.568909 |
| Jason Vargo | 0.37166 |
| FARS database | 0.373451 |
| cyclist fatalities | 0.483626 |
| fatal traffic crashes | 0.368592 |
| physical activity | 0.397028 |
| multiple health benefits | 0.376482 |
| child bicyclist mortality | 0.46466 |
| age-adjusted mortality rate | 0.468584 |
| newer FARS data | 0.394276 |
| bicycling fatalities | 0.378414 |
| child bicycle trips | 0.375559 |
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| 14051 |
Centers for Disease Control and Prevention |
Html |
en |
Radon and Your Health | CDC Features |
Radon is the second leading cause of lung cancer after cigarette smoking. If you smoke and live in a home with high radon levels, you increase your risk of developing lung cancer. Having your home tested is the only effective way to determine whether you and your family are at risk of high radon exposure. |
| radon | 0.90224 |
| radon problem | 0.488907 |
| Radon Communication Toolkit | 0.551878 |
| social media posts.View | 0.223342 |
| customizable fact sheets | 0.220807 |
| high radon levels | 0.696336 |
| U.S. Environmental Protection | 0.230717 |
| effective way | 0.241611 |
| test kit packaging | 0.224317 |
| lung cancer | 0.731785 |
| Radon Test Kit | 0.54798 |
| public health professionals | 0.22508 |
| radioactive particles | 0.23729 |
| radon levels | 0.746694 |
|
| radon information | 0.474208 |
| state radon office | 0.583389 |
| breathing radon | 0.519946 |
| home tested | 0.240545 |
| radon test kits | 0.528358 |
| high radon exposure | 0.61302 |
| small measuring device | 0.21392 |
| radon gas | 0.513943 |
| new web page | 0.215343 |
| lung cancer deaths | 0.290015 |
| National Radon Hotline | 0.523405 |
| Radon Reduction | 0.470899 |
| visit Radon Hotlines | 0.520448 |
| radon problems | 0.459505 |
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| 16251 |
Centers for Disease Control and Prevention |
Html |
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FastStats - Adolescent Health |
null |
| Summary Health Statistics | 0.92978 |
| PDF | 0.337247 |
| adolescents | 0.526416 |
| Percent | 0.432196 |
| United States | 0.301064 |
|
| Health Statistics Tables | 0.929398 |
| Health Interview Survey | 0.92625 |
| National Health Interview | 0.926632 |
| source | 0.378207 |
|
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