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Centers for Disease Control and Prevention |
Html |
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Catechol - NIOSH Pocket Guide to Chemical Hazards |
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| 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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| 7128 |
Centers for Disease Control and Prevention |
Html |
en |
CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0313 |
Diabetes-related health improvements achieved from self-management education interventions are not sustained long-term. We examined the health effects at 1 year follow-up of a 2-year, empowerment-based, diabetes self-management support intervention designed for African Americans. |
| Lifelong Diabetes Self-Management | 0.620175 |
| glycemic control | 0.587953 |
| ongoing DSMS intervention | 0.473491 |
| follow-up period | 0.482131 |
| Effective diabetes self-management | 0.58865 |
| 12-month diabetes intervention | 0.595094 |
| diabetes-specific quality | 0.51585 |
| diabetes self-management | 0.908416 |
| diabetes empowerment measure | 0.493772 |
| diabetes self-management support | 0.750418 |
| 2-year diabetes self-management | 0.701074 |
| diabetes treatment | 0.46885 |
| Michigan Diabetes Research | 0.488424 |
| blood pressure | 0.479198 |
| lifelong self-management efforts | 0.489167 |
| empowerment-based diabetes self-management | 0.650574 |
| diabetes education intervention | 0.614476 |
| diabetes self-management intervention | 0.741604 |
| self-management education interventions | 0.550571 |
| ongoing diabetes self-management | 0.642163 |
| group-based self-management support | 0.510103 |
| DSMS intervention | 0.56047 |
| participant-identified self-management priorities | 0.496752 |
| diabetes empowerment | 0.51583 |
|
| study | 0.512622 |
| diabetes education program | 0.503963 |
| diabetes-related health benefits | 0.510818 |
| self-management efforts | 0.509666 |
| diabetes self-management education | 0.744988 |
| certified diabetes educator | 0.500587 |
| self-management support control | 0.515582 |
| diabetes care | 0.595488 |
| self-management support intervention | 0.685363 |
| diabetes care intervention | 0.557598 |
| individual self-management | 0.469114 |
| participants | 0.524719 |
| Internet-based diabetes self-management | 0.592147 |
| empowerment-based DSMS intervention | 0.530458 |
| 2-year DSMS intervention | 0.51386 |
| diabetes education programme | 0.491353 |
| intervention follow-up period | 0.476902 |
| Diabetes Empowerment Scale | 0.511015 |
| randomized controlled trial | 0.477512 |
| diabetes self-management interventions | 0.752031 |
| Diabetes Distress Scale | 0.540633 |
| diabetes self-care interventions | 0.525481 |
| diabetes self-care activities | 0.573433 |
| group-based self-management intervention | 0.565021 |
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CLICK HERE |
| 8090 |
Centers for Disease Control and Prevention |
Html |
en |
Online Newsroom - Press Release - iPad users can solve public health outbreaks |
[Title] |
| disease detectives | 0.882722 |
| new technology | 0.5715 |
| real-life public health | 0.74999 |
| fictional outbreaks | 0.666842 |
| public health enthusiasts | 0.713039 |
| outbreak investigation | 0.656483 |
| man-made disasters | 0.532597 |
| EIS officers | 0.748236 |
| real-life events | 0.576927 |
| disease outbreak investigator | 0.866554 |
| great learning tool | 0.66823 |
| CDC iPad app | 0.914712 |
| health professionals | 0.566566 |
| mysterious disease outbreaks | 0.77343 |
| Epidemic Intelligence Service | 0.696671 |
| Play disease detectives | 0.799518 |
| gifted physicians | 0.545208 |
| general knowledge | 0.55467 |
| mystery lovers | 0.540371 |
| branch chief | 0.539104 |
| health tips | 0.576464 |
| first-hand experience | 0.541502 |
| new outbreak cases. | 0.80371 |
| actual events | 0.54208 |
| scientists | 0.449043 |
|
| Users advance | 0.555911 |
| young adults | 0.545371 |
| CDC Director | 0.632305 |
| HUMAN SERVICES | 0.539183 |
| job training program | 0.660828 |
| surveillance work | 0.536052 |
| United States | 0.539827 |
| introductory scenarios | 0.535575 |
| new application. | 0.550484 |
| new iPad app | 0.839781 |
| science teachers | 0.546188 |
| Carol Crawford | 0.53962 |
| U.S. DEPARTMENT | 0.53938 |
| Disease Control | 0.605493 |
| Dr. Tom Frieden | 0.728326 |
| Outbreak application | 0.652676 |
| public health | 0.887996 |
| Electronic Media Branch. | 0.666152 |
| participants | 0.449024 |
| interactive way | 0.555191 |
| EIS program | 0.621054 |
| public health emergencies | 0.700867 |
| fictional Hollywood films | 0.658951 |
| Dr. Frieden | 0.57674 |
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| 8424 |
Centers for Disease Control and Prevention |
Html |
en |
Shane's Biography - Shane's Story - Real Stories - Tips from Former Smokers - Smoking & Tobacco Use |
The biography of Shane, a former smoker who had throat cancer and is featured in CDC's Tips from Former Smokers campaign. |
| Shane | 0.949689 |
| damage | 0.232253 |
| shower | 0.221101 |
| cause | 0.217641 |
| stomach | 0.242902 |
| collarbone | 0.276561 |
| body | 0.231383 |
| throat cancer | 0.642503 |
| larynx | 0.258448 |
| times | 0.214172 |
| smoking | 0.84322 |
| Smokers® campaign | 0.604569 |
| member | 0.23033 |
| new challenge | 0.631953 |
| machinist | 0.238704 |
| dangerous smoking | 0.731873 |
|
| chest | 0.22477 |
| desire | 0.228255 |
| surgeries | 0.235785 |
| simple things | 0.624274 |
| electrolarynx | 0.213333 |
| neck | 0.388087 |
| smoking-related cancer | 0.613759 |
| difficulty | 0.229885 |
| 1-inch stoma | 0.807047 |
| doctors | 0.367471 |
| difference | 0.219603 |
| family | 0.230176 |
| esophagus | 0.412462 |
| aid | 0.213473 |
| device | 0.212358 |
| age | 0.459605 |
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| 8598 |
Centers for Disease Control and Prevention |
Html |
en |
Advanced Molecular Detection (AMD) - Questions and Answers |
AMD Questions and Answers will help answer questions like what is AMD, why AMD and why now, what does AMD look like when you put it to work against disease threats, and many more |
| disease detectives | 0.532372 |
| CDC | 0.909003 |
| bioinformatics CDC | 0.575471 |
| health care treatment | 0.460257 |
| infectious disease threats | 0.499594 |
| drug-resistant microbes | 0.565747 |
| good disease detective | 0.456656 |
| similar disease threats | 0.477601 |
| rapidly evolving field | 0.458312 |
| resistant microbe sweeps | 0.477714 |
| infectious disease outbreaks | 0.522441 |
| complex infectious disease | 0.516974 |
| World Health Organization | 0.463395 |
| deadly microbes | 0.459997 |
| massive amounts | 0.532142 |
| food supply | 0.446334 |
| public health response | 0.482319 |
| genomic sequencing | 0.461305 |
| public health laboratories | 0.456759 |
| interrupt disease transmission | 0.449663 |
| national health security | 0.6963 |
| generation sequencing tools | 0.497524 |
| adequate AMD capacity | 0.47769 |
| New molecular tools | 0.504192 |
| United States | 0.49719 |
|
| health security needs | 0.47738 |
| infectious disease control | 0.502825 |
| pulse-field gel electrophoresis | 0.450746 |
| advanced computing | 0.5388 |
| important disease threats | 0.484524 |
| outbreak detection systems | 0.457353 |
| point-of-care molecular tests | 0.455694 |
| deadly health threats | 0.51372 |
| molecular detection tools | 0.497642 |
| characterize drug-resistant microbes | 0.506462 |
| killer microbes | 0.482506 |
| disease transmission | 0.458354 |
| public health | 0.754723 |
| disease threats | 0.512255 |
| polymerase chain reaction | 0.451787 |
| CDC scientists | 0.527528 |
| infectious disease laboratory | 0.495573 |
| bioinformatics experts | 0.543548 |
| shoe leather epidemiology | 0.462459 |
| infectious disease | 0.695543 |
| public health efforts | 0.482804 |
| new technologies | 0.450416 |
| public health science | 0.472584 |
| world-class microbe library | 0.460692 |
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| 9159 |
Centers for Disease Control and Prevention |
Html |
en |
NIOSH A-Z Index - O |
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| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
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CLICK HERE |
| 10708 |
Centers for Disease Control and Prevention |
Html |
en |
Short and Extended Messages'Dirty Bombs' Communicating in the First Hours |
The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency. |
| 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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CLICK HERE |
| 12137 |
Centers for Disease Control and Prevention |
Html |
en |
Pertussis Epidemic - California, 2014 |
Kathleen Winter, MPH1, Carol Glaser, MD, DVM1, James Watt, MD2, Kathleen Harriman, PhD1 (Author affiliations at end of text). |
| California Vaccine Safety | 0.387292 |
| vulnerable infants | 0.379712 |
| data | 0.38644 |
| United States | 0.425719 |
| pertussis epidemic | 0.806269 |
| Northern California Kaiser | 0.433955 |
| CDPH | 0.407299 |
| Tdap booster vaccine | 0.406659 |
| whole-cell pertussis vaccines | 0.535938 |
| Hispanic infants | 0.47889 |
| Hispanic infants age | 0.44194 |
| pertussis vaccine series | 0.556278 |
| prior Tdap dose | 0.372595 |
| pertussis | 0.950136 |
| current pertussis epidemic | 0.526293 |
| statewide incidence | 0.366035 |
| additional fatal cases | 0.366939 |
| pregnant women | 0.693456 |
| state health department | 0.368076 |
| assess Tdap status | 0.3616 |
| public health department | 0.383345 |
| local health departments | 0.723323 |
| public health | 0.728211 |
| probable pertussis | 0.501917 |
|
| non-Hispanic infants | 0.462929 |
| young infants | 0.502258 |
| California local health | 0.431538 |
| infants | 0.824307 |
| cases | 0.510762 |
| acellular pertussis vaccines | 0.751616 |
| pertussis disease | 0.493303 |
| prenatal care providers | 0.566333 |
| public health activities | 0.381739 |
| acellular pertussis vaccine | 0.838829 |
| Tdap immunization histories | 0.36971 |
| local public health | 0.47535 |
| Asian/Pacific Islander infants | 0.460463 |
| severe cases | 0.360848 |
| pertussis cycles | 0.45367 |
| available pertussis vaccines | 0.544402 |
| disease incidence | 0.587309 |
| public health strategies | 0.361555 |
| Tdap vaccination coverage | 0.37836 |
| older children | 0.403106 |
| severe disease | 0.400099 |
| Tdap booster doses | 0.360295 |
| higher disease incidence | 0.361709 |
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| 12809 |
Centers for Disease Control and Prevention |
Html |
en |
HEADS UP to Youth Sports: Parents | HEADS UP | CDC Injury Center |
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| proper helmet fit | 0.976161 |
| brain injury | 0.375183 |
| CDC | 0.204375 |
|
| 3D helmet fit | 0.942728 |
| Helmet Safety app | 0.989449 |
| HEADS UP Concussion | 0.848434 |
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CLICK HERE |
| 13337 |
Centers for Disease Control and Prevention |
Html |
null |
Get Smart About Antibiotics | Home | Know When They Work |CDC |
Antibiotic resistance is a growing problem that makes treating common infections more difficult. |
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CLICK HERE |