| 5745 |
Centers for Disease Control and Prevention |
Html |
en |
Welding fumes - 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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| 6955 |
Centers for Disease Control and Prevention |
Html |
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CDC - Preventing Chronic Disease: Volume 9, 2012:11_0186 |
Modifiable health risk behaviors such as physical inactivity, unhealthy eating, and tobacco use are linked to the most common chronic diseases, and chronic diseases contribute to 70% of deaths in the United States. |
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| 6960 |
Centers for Disease Control and Prevention |
Html |
en |
CDC - Preventing Chronic Disease: Volume 9, 2012:11_0160 |
The Appalachian region of the United States has disproportionately high colorectal cancer (CRC) death rates and low screening rates. The purpose of this pilot study was to assess acceptability of a take-home fecal immunochemical test (FIT) and the effect of follow-up telephone counseling for increasing CRC screening in rural Appalachia. |
| FIT adherence | 0.476189 |
| health insurance | 0.440138 |
| population-based FIT screening | 0.470773 |
| initial screening nonadherence | 0.395431 |
| Appalachian Pennsylvania counties | 0.366475 |
| provider-recommended FIT screening | 0.47108 |
| FIT adherence rates | 0.406911 |
| free take-home FIT | 0.389755 |
| screening method | 0.410136 |
| widespread screening method | 0.402554 |
| screening adherence rate | 0.41567 |
| Appalachian region | 0.381615 |
| colorectal cancer screening | 0.503124 |
| rural Appalachian Pennsylvania | 0.391604 |
| CRC death rate | 0.371931 |
| baseline questionnaire | 0.469577 |
| Fox Chase Cancer | 0.407076 |
| cancer network community | 0.362067 |
| evidence-based screening method | 0.402189 |
| FIT screening | 0.528256 |
| community advisory committee | 0.416321 |
| Appalachian Pennsylvania | 0.466468 |
| telephone counseling | 0.942656 |
| initial screening adherence | 0.405829 |
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| CRC screening | 0.782244 |
| Community Cancer Network | 0.363346 |
| CRC death rates | 0.492209 |
| study | 0.399902 |
| follow-up telephone counseling | 0.575921 |
| United States | 0.425279 |
| average CRC risk | 0.433589 |
| CRC screening objective | 0.487024 |
| Chase Cancer Center | 0.406832 |
| acceptable screening test | 0.40222 |
| FIT adherence rate | 0.386636 |
| answering machine reminder | 0.494812 |
| take-home FIT | 0.48912 |
| take-home InSure FIT | 0.366594 |
| Appalachia Cancer Network | 0.470244 |
| fecal immunochemical test | 0.492811 |
| provider-recommended take-home FIT | 0.390838 |
| Northern Appalachia Cancer | 0.470288 |
| CRC-related knowledge | 0.365544 |
| FIT | 0.612973 |
| primary care | 0.44721 |
| low screening rates | 0.438069 |
| Appalachia Community Cancer | 0.404674 |
| Appalachia recommend FIT | 0.416725 |
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| 10218 |
Centers for Disease Control and Prevention |
Html |
en |
Lightning | CDC |
CDC provides information about lightning strikes including safety tips for people indoors and outdoors, first aid recommendations, and lightning strike victim data. |
| average | 0.25313 |
| list Skip | 0.72381 |
| United States | 0.42455 |
| page options Skip | 0.942919 |
| mold | 0.252047 |
| thunder | 0.255266 |
| insects | 0.249259 |
| navigation Skip | 0.731772 |
| disaster | 0.244593 |
| lightning strike injuries | 0.791929 |
| times | 0.241753 |
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| Illnesses | 0.252101 |
| cleanup | 0.258289 |
| earth | 0.241937 |
| carbon monoxide poisoning | 0.650553 |
| environmental concerns | 0.425608 |
| warning | 0.257512 |
| consequences | 0.256428 |
| risk | 0.239677 |
| animals | 0.237091 |
| family | 0.242511 |
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| 10401 |
Centers for Disease Control and Prevention |
Html |
en |
Communication Guide for Policy and Environmental Change'State Resources'DHDSP'CDC |
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| Environmental Change | 0.655697 |
| Stroke Prevention | 0.807152 |
| Disease Control | 0.607581 |
| disabling | 0.201683 |
| Communication Guide | 0.952608 |
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| heart disease | 0.990318 |
| new tool | 0.668967 |
| Stroke Addendum | 0.930965 |
| Stroke–free States | 0.662722 |
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| 10830 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | A Model for Training Public Health Workers in Health Policy: the Nebraska Health Policy Academy - CDC |
There is growing recognition that health goals are more likely to be achieved and sustained if programs are complemented by appropriate changes in the policies, systems, and environments that shape their communities. However, the knowledge, skills, and abilities needed to create and implement policy are among the major needs identified by practitioners at both the state and local levels. This article describes the structure and content of the Nebraska Health Policy Academy (the Academy), a 9-month program developed to meet the demand for this training. |
| 3-county health district | 0.578006 |
| public health policies | 0.61127 |
| policy process | 0.584968 |
| health policy training | 0.650145 |
| training programs | 0.581109 |
| additional public health | 0.605111 |
| health department staff | 0.657216 |
| public health leadership | 0.598593 |
| Public health training | 0.612253 |
| C. Public health | 0.598805 |
| Public Health Infrastructure | 0.602575 |
| policy change | 0.661804 |
| policy development project | 0.694507 |
| health policy efforts | 0.648769 |
| sparsely populated state | 0.577902 |
| P. Community health | 0.584611 |
| public health practice | 0.600605 |
| community health | 0.59964 |
| state public health | 0.630545 |
| community health workers | 0.59192 |
| Nebraska Medical Center | 0.644895 |
| public health policy | 0.756994 |
| public health staff | 0.639767 |
| public health workforce | 0.695602 |
| health promotion | 0.594511 |
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| Health Services Research | 0.580089 |
| policy development | 0.712519 |
| local health department | 0.59371 |
| health policy | 0.783723 |
| public health burden | 0.595186 |
| Policy versus programs | 0.579802 |
| public health professionals | 0.634281 |
| public health goals | 0.622652 |
| public health | 0.962142 |
| public health organizations | 0.606449 |
| public health workers | 0.622056 |
| policy development tools | 0.586515 |
| Health Policy Academy | 0.771475 |
| public health tool | 0.665371 |
| local public health | 0.642222 |
| evidence-based public health | 0.596174 |
| specific policy change | 0.578952 |
| competency-based training program | 0.617035 |
| Health Policy Curriculum | 0.636133 |
| public health problem | 0.613142 |
| Public Health Service | 0.598618 |
| Public Health Collaborative | 0.601818 |
| Nebraska Health Policy | 0.749346 |
| public health action | 0.601585 |
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| 11434 |
Centers for Disease Control and Prevention |
Video |
en |
Before and After: Ebola Isolation Ward Makes Improvements |
Watch this Before and After Tour of Ebola Isolation Ward safety improvements to compound in Lagos, Nigeria.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html |
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| Ebola Isolation Ward | 0.94043 |
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| 14336 |
Centers for Disease Control and Prevention |
Html |
en |
Vital Signs: Preparing for Local Mosquito-Borne Transmissionof Zika Virus - United States, 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Wkly Rep. Published | 0.394524 |
| mosquito-borne Zika virus | 0.53538 |
| CDC’s Travelers | 0.391272 |
| 1-day Zika Action | 0.433732 |
| health care provider | 0.408551 |
| effective response plans | 0.399699 |
| Human Services | 0.389178 |
| early pregnancy loss | 0.409303 |
| Zika virus | 0.966598 |
| U.S. Department | 0.389626 |
| possible Zika virus | 0.493696 |
| pregnant women | 0.459306 |
| pregnancy problems | 0.360971 |
| Polen KN | 0.359697 |
| common signs | 0.357907 |
| electronic PDF version | 0.394407 |
| pregnant woman | 0.375075 |
| active Zika virus | 0.631913 |
| up-to-date travel information | 0.401509 |
| early detection | 0.362401 |
| health care providers | 0.400718 |
| male partners | 0.357985 |
| Zika virus disease | 0.58622 |
| U.S. government agencies | 0.427872 |
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| anticipated emergence | 0.362717 |
| Zika virus transmission | 0.857701 |
| special precautions | 0.355941 |
| Aedes species mosquitoes | 0.417159 |
| vaginal intercourse | 0.362322 |
| original MMWR paper | 0.399515 |
| Widespread Zika virus | 0.535838 |
| Zika virus infection | 0.695791 |
| continental United States | 0.411287 |
| CDC Zika Response | 0.463454 |
| MMWR Morb Mortal | 0.403332 |
| local government officials | 0.402224 |
| MMWR readers | 0.355647 |
| U.S. state | 0.364827 |
| senior state | 0.355914 |
| U.S. Virgin Islands | 0.405205 |
| anal intercourse | 0.36402 |
| Zika preparedness | 0.382432 |
| sexual transmission | 0.387415 |
| virus infection acquisition | 0.4782 |
| mosquito-borne transmission | 0.512209 |
| local jurisdictions | 0.359327 |
| local government partners | 0.422843 |
| interim guidelines | 0.354686 |
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Centers for Disease Control and Prevention |
Html |
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Notes from the Field | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Shannon A. Novosad | 0.633579 |
| contaminated medical supplies | 0.653032 |
| marrow transplant unit | 0.669965 |
| mucormycosis | 0.651888 |
| PADOH/CDC on-site investigation | 0.641121 |
| Pennsylvania Department | 0.657688 |
| different mucormycete species | 0.648842 |
| solid organ transplantation | 0.78569 |
| Zoonotic Infectious Diseases | 0.730491 |
| Clin Infect Dis | 0.888792 |
| intensive care unit | 0.638377 |
| mold spores | 0.644598 |
| Infection Control Risk | 0.701721 |
| immunosuppressive medications | 0.646017 |
| solid organ transplant | 0.940921 |
| clinical indication | 0.649212 |
| organ transplant recipients | 0.952059 |
| invasive mold infections | 0.663472 |
| mucormycete-active prophylactic agent | 0.653193 |
| common construction-related exposure | 0.634181 |
| mucormycosis diagnosis | 0.649542 |
| Transplant-Associated Infection Surveillance | 0.751485 |
| diagnostic specimen | 0.640047 |
| 1Epidemic Intelligence Service | 0.63486 |
| Infection Surveillance Network | 0.751464 |
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| Olmstead R. Construction | 0.637387 |
| 5Laboratory Leadership Service | 0.634466 |
| original MMWR paper | 0.63287 |
| airborne infectious disease | 0.633169 |
| additional transplant | 0.643497 |
| infection control | 0.759202 |
| antifungal prophylactic agent | 0.794046 |
| Healthcare Quality Promotion | 0.633001 |
| cell transplant recipients | 0.703407 |
| 12-month period | 0.67372 |
| 6CDC Career Epidemiology | 0.637726 |
| ubiquitous environmental organisms | 0.655577 |
| negative-pressure isolation room | 0.67165 |
| organ transplant patients | 0.715151 |
| invasive fungal infections | 0.748011 |
| probable health | 0.680906 |
| health | 0.685781 |
| hospital construction projects | 0.694999 |
| bone marrow | 0.646429 |
| Infect Control Hosp | 0.649668 |
| transplant recipients | 0.988738 |
| invasive fungal infection | 0.698384 |
| on-site investigation | 0.652726 |
| et al | 0.691881 |
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| 15388 |
Centers for Disease Control and Prevention |
Html |
en |
Effect of the Healthy Schools Program on Prevalence ofOverweight and Obesity in California Schools,2006&ndash2012 |
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. |
| HSP practice | 0.593364 |
| 6-step process | 0.489061 |
| obesity prevention programs | 0.477112 |
| HSP’s inception | 0.637093 |
| HSP 50-item assessment | 0.61451 |
| obesity prevention | 0.566388 |
| obesity prevalence | 0.509788 |
| obesity | 0.636778 |
| dose–response analyses | 0.494249 |
| robust BMI data | 0.475783 |
| HSP MOU | 0.625664 |
| HSP | 0.943505 |
| school-based obesity prevention | 0.485433 |
| body mass index | 0.481593 |
| obesity prevention efforts | 0.478982 |
| California schools | 0.516042 |
| total school enrollment | 0.478587 |
| HSP national advisors | 0.93653 |
| HSP data records | 0.620801 |
| healthy schools program | 0.573475 |
| exposure | 0.482291 |
| schools | 0.797204 |
| HSP national advisor | 0.803369 |
| TTA | 0.475875 |
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| obesity prevention strategies | 0.493196 |
| HSP tools | 0.571931 |
| HSP program manager | 0.616065 |
| onsite HSP | 0.720914 |
| school’s obesity | 0.486165 |
| propensity-score matched control | 0.512536 |
| HSP’s impact | 0.620392 |
| HSP assessment | 0.589046 |
| program managers | 0.47565 |
| weight status | 0.59541 |
| HSP activities | 0.579161 |
| overweight | 0.487072 |
| enrolled schools | 0.47953 |
| HSP National Healthy | 0.617996 |
| California public schools | 0.496507 |
| HSP districts | 0.589238 |
| HSP schools | 0.690876 |
| Healthier Generation | 0.489157 |
| control schools | 0.523132 |
| physical activity environments | 0.665918 |
| childhood obesity | 0.564022 |
| non-HSP California schools | 0.493436 |
| later HSP cohorts | 0.593327 |
| BMI data | 0.51604 |
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