| 5831 |
Centers for Disease Control and Prevention |
Html |
en |
Disulfoton - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 6430 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Current Outbreak List | CDC |
Current outbreak list for both U.S.-based and international travelers - CDC |
| Mortality Weekly Report | 0.696107 |
| health threats | 0.584914 |
| Health alerts | 0.574327 |
| investigations | 0.42474 |
| updates | 0.425484 |
| content | 0.449652 |
| Health Alert Network | 0.713443 |
| Infectious disease outbreaks | 0.969847 |
| CDC Emergency Operations | 0.792477 |
| times | 0.426874 |
| Events | 0.424579 |
| state health department | 0.694293 |
| Outbreak investigation | 0.599282 |
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| Listings | 0.429276 |
| CDC website | 0.710186 |
| medical communities | 0.693052 |
| service messages | 0.560306 |
| public health | 0.66879 |
| health advisories | 0.582855 |
| Incidents | 0.437601 |
| Recent Outbreaks | 0.733558 |
| Morbidity | 0.448232 |
| scientists | 0.427028 |
| doctors | 0.431384 |
| outbreak material | 0.605917 |
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| 6475 |
Centers for Disease Control and Prevention |
Html |
en |
Evaluation of a community-based falls prevention program in South Florida, 2008-2009 |
The objectives of this study were to evaluate the effectiveness of the lay leader model of the programs in the first year of their implementation and to further report on participant outcome measures. |
| participant outcome measures | 0.60887 |
| response scale | 0.603461 |
| ADA participants | 0.571867 |
| study participants | 0.580703 |
| ADE | 0.746251 |
| data | 0.606851 |
| outcome measures | 0.6538 |
| ADE participants | 0.709978 |
| lay leader model | 0.701937 |
| outcome data | 0.602337 |
| PACE tool | 0.566831 |
| ADE outcome measures | 0.617227 |
| falls | 0.602826 |
| unintentional falls | 0.56572 |
| previous MOB studies | 0.588858 |
| posttest outcome data | 0.575218 |
| South Florida | 0.719968 |
| fear | 0.610351 |
| online database | 0.565107 |
| social activity | 0.720932 |
| evaluation questionnaire | 0.576418 |
| baseline questionnaire | 0.572969 |
| baseline | 0.576134 |
| general linear model | 0.715217 |
| programs | 0.59391 |
|
| trained lay leaders | 0.560533 |
| previous falls prevention | 0.561174 |
| study | 0.588755 |
| lay leaders | 0.682504 |
| MOB participants | 0.681771 |
| ADE programs | 0.584811 |
| Florida International University | 0.577425 |
| Physician-Based Assessment | 0.601851 |
| ADE measures | 0.578219 |
| social isolation | 0.575159 |
| older adult centers | 0.570324 |
| Falls Management Scale | 0.566194 |
| participants | 0.812742 |
| MOB | 0.746432 |
| actual falls | 0.581083 |
| health promotion programs | 0.559523 |
| agencies | 0.562836 |
| Healthy Aging Initiative | 0.740711 |
| social activity item | 0.599913 |
| ADE program participants | 0.667865 |
| MOB lay leaders | 0.61108 |
| ADE workshops | 0.58535 |
| older adults | 0.96333 |
| Lay leader training | 0.562788 |
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| 6611 |
Centers for Disease Control and Prevention |
Html |
null |
Organ Systems and the Chemicals that Affect Them - Cardiovascular Heart and Blood Vessels |
The heart and blood vessels (arteries, capillaries, and veins) are called the cardiovascular system. The cardiovascular system carries blood throughout the body. The heart pumps blood through blood vessels called "arteries" and then through smaller blood vessels called "capillaries" to each organ and tissue in the body. |
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| 7046 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Netherlands |
null |
| Content source | 0.422709 |
| HHS | 0.297574 |
| list Skip | 0.74332 |
| endorsement | 0.291872 |
| CDC | 0.271556 |
| non-federal site | 0.4688 |
|
| Notice | 0.270187 |
| sponsors | 0.241885 |
| page options Skip | 0.947337 |
| information | 0.241652 |
| employees | 0.242118 |
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| 10819 |
Centers for Disease Control and Prevention |
Html |
en |
Promising Practices Brief: How to Reduce Radon in Homes |
Ways to reduce radon, the leading cause of lung cancer among non-smokers. |
| Centers | 0.422258 |
| Injury Prevention | 0.532725 |
| better-known home hazards | 0.708879 |
| asbestos | 0.430168 |
| United States | 0.669931 |
| homes—have high radon | 0.831638 |
| numbers | 0.422388 |
| radioactive gas | 0.573446 |
| U.S. Environmental Protection | 0.669354 |
| Risks | 0.423505 |
| falls | 0.422936 |
| Disease Control | 0.533424 |
| productivity | 0.423622 |
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| causes | 0.422323 |
| National Safety Council | 0.645214 |
| National Center | 0.532958 |
| radon costs | 0.696563 |
| lead-based paint | 0.572068 |
| medical care expenses | 0.65928 |
| people | 0.424933 |
| household dangers | 0.559562 |
| lung cancer deaths | 0.983445 |
| fires | 0.430574 |
| household radon exposure | 0.884797 |
| Control Report | 0.529608 |
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| 11089 |
Centers for Disease Control and Prevention |
Html |
en |
Chikungunya hits Mainland | 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 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 12114 |
Centers for Disease Control and Prevention |
Html |
en |
Lung Cancer Risk by Age |
A table showing the percentage of men and women who will get lung cancer over different time periods, based on their current age. |
| Ruhl | 0.302919 |
| Altekruse SF | 0.530509 |
| Garshell | 0.262543 |
| Chen HS | 0.553925 |
| different time periods | 0.550046 |
| lung cancer increases | 0.602427 |
| Cancer Statistics Review | 0.741625 |
| Source | 0.262855 |
| DR | 0.261835 |
| Kosary CL | 0.54373 |
| lung cancer | 0.927496 |
| SEER Web site | 0.875469 |
| Feuer EJ | 0.590328 |
| tables | 0.236178 |
| Howlader | 0.262798 |
| men | 0.404701 |
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| MD | 0.261511 |
| percentage | 0.242108 |
| National Cancer Institute | 0.740125 |
| table | 0.232779 |
| current age | 0.530163 |
| Cronin KA | 0.571311 |
| SEER data submission | 0.877678 |
| eds | 0.287574 |
| Miller | 0.262458 |
| risk | 0.23676 |
| Yu | 0.28066 |
| Bethesda | 0.276101 |
| time periods | 0.579339 |
| SEER Cancer Statistics | 0.855149 |
| women | 0.274714 |
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| 12955 |
Centers for Disease Control and Prevention |
Html |
en |
Missed Opportunities for Tetanus Postexposure Prophylaxis -California, January 2008-March 2014 |
Cynthia Yen, MPH1, Erin Murray, PhD1, Jennifer Zipprich, PhD1, Kathleen Winter, MPH1, Kathleen Harriman, PhD1 (Author affiliations at end of text). |
| TT | 0.460607 |
| tetanus vaccines | 0.317956 |
| annual tetanus incidence | 0.362244 |
| tetanus immune globulin | 0.337573 |
| Public Health | 0.356497 |
| 3-dose primary TT | 0.230198 |
| appropriate PEP | 0.338976 |
| tetanus vaccination status | 0.343784 |
| appropriate postexposure prophylaxis | 0.31681 |
| tetanus incidence | 0.370732 |
| tetanus toxoid-containing vaccinations | 0.390667 |
| unknown TT vaccination | 0.261105 |
| average annual incidence | 0.448037 |
| tetanus | 0.917846 |
| tetanus symptoms | 0.277389 |
|
| TT vaccination | 0.273594 |
| health care providers | 0.758532 |
| tetanus illness onset | 0.351983 |
| TT PEP | 0.271757 |
| tetanus patients | 0.624527 |
| injection-drug users | 0.23777 |
| tetanus surveillance worksheet | 0.355661 |
| patients | 0.858051 |
| TT dose | 0.320348 |
| medical care | 0.281429 |
| tetanus PEP | 0.320538 |
| acute injuries | 0.253193 |
| tetanus cases | 0.508319 |
| TIG | 0.226934 |
| California Department | 0.368711 |
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| 13537 |
Centers for Disease Control and Prevention |
Html |
en |
Tobacco Use Screening and Counseling During HospitalOutpatient Visits Among US Adults, 2005&ndash2010 |
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. |
| tobacco screening | 0.372549 |
| tobacco use cessation | 0.390399 |
| health insurance | 0.324703 |
| tobacco counseling | 0.465934 |
| evidence-based cessation treatments | 0.314119 |
| primary care physician | 0.415602 |
| tobacco cessation treatments | 0.399358 |
| hospital outpatient settings | 0.297588 |
| tobacco cessation | 0.653617 |
| nontraditional tobacco products | 0.372753 |
| health care delivery | 0.300517 |
| Disease Control | 0.357362 |
| hospital outpatient visits | 0.790127 |
| tobacco | 0.956081 |
| cessation programs | 0.317735 |
| tobacco users | 0.505246 |
| health care providers | 0.361728 |
| current cigarette smoking | 0.349009 |
| Morb Mortal Wkly | 0.363257 |
| current tobacco users | 0.503036 |
| patients | 0.331852 |
| annual average visits | 0.302494 |
| effective cessation treatments | 0.297658 |
| preventive care visits | 0.330773 |
|
| Affordable Care Act | 0.334701 |
| tobacco cessation medications | 0.460932 |
| current tobacco | 0.654833 |
| United States | 0.410511 |
| tobacco use assessment | 0.34589 |
| smokeless tobacco users | 0.353155 |
| Ambulatory Medical Care | 0.346718 |
| smoking cessation programs | 0.308212 |
| tobacco cessation assistance | 0.593806 |
| MMWR Morb Mortal | 0.362232 |
| tobacco use status | 0.485285 |
| Mortal Wkly Rep | 0.359021 |
| nonpreventive care visits | 0.317871 |
| health care | 0.431755 |
| over-the-counter tobacco cessation | 0.421941 |
| FDA-approved cessation medications | 0.330133 |
| effective cessation interventions | 0.352841 |
| tobacco use screening | 0.621259 |
| Medical Care Survey | 0.347428 |
| appropriate tobacco cessation | 0.442645 |
| National Adult Tobacco | 0.343014 |
| Treating Tobacco | 0.345667 |
| tobacco cessation counseling | 0.463716 |
| cessation assistance | 0.679905 |
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