| 5847 |
Centers for Disease Control and Prevention |
Html |
en |
Acrylic acid - 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 |
|
CLICK HERE |
| 8786 |
Centers for Disease Control and Prevention |
Html |
en |
Announcements: Recreational Water Illness and InjuryPrevention Week - May 20-26, 2013 |
Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. |
| mmwrq@cdc.gov. | 0.532193 |
| Public health agencies | 0.658611 |
| indoor air quality | 0.621169 |
| best-practice guidelines | 0.519737 |
| public comments | 0.528207 |
| York State Department | 0.617518 |
| Human Services | 0.58939 |
| assistive technology | 0.53111 |
| MMWR HTML versions | 0.600643 |
| U.S. Department | 0.584856 |
| federal agency | 0.517311 |
| official edition | 0.512602 |
| safety risks | 0.517535 |
| electronic PDF version | 0.601386 |
| health events | 0.537516 |
| Additional information | 0.733662 |
| Contact GPO | 0.52554 |
| pre-swim shower | 0.516975 |
| good swimmer hygiene | 0.626652 |
| water safety | 0.547234 |
| individual modules | 0.512536 |
| hot tubs/spas | 0.615573 |
| original paper copy | 0.594796 |
| local agencies | 0.516724 |
|
| recreational water venues | 0.941284 |
| final public comment | 0.61738 |
| injury death | 0.510221 |
| Injury Prevention | 0.530684 |
| United States | 0.516926 |
| recreational water illness | 0.820759 |
| original MMWR paper | 0.60836 |
| U.S. Government Printing | 0.601906 |
| public swimming pools | 0.648391 |
| microbial contamination | 0.513449 |
| MMWR readers | 0.513998 |
| RWI prevention | 0.599553 |
| annual Recreational Water | 0.702906 |
| healthy swimming | 0.519491 |
| water play areas | 0.665927 |
| contaminated water | 0.562475 |
| summer swim season | 0.600175 |
| subject line | 0.530439 |
| Poor swimmer hygiene | 0.619322 |
| official text | 0.509132 |
| pool codes | 0.624264 |
| Model Aquatic Health | 0.630265 |
| effective steps swimmers | 0.630398 |
| federal public health | 0.653502 |
|
CLICK HERE |
| 10820 |
Centers for Disease Control and Prevention |
Html |
en |
What We Know About Radon |
When people breathe in radon, it damages the lungs, which may result in lung cancer. |
| radon | 0.996732 |
| state radon programs | 0.852391 |
| safe level | 0.362757 |
| United States | 0.500712 |
| taste | 0.23609 |
| high levels | 0.347078 |
| cause | 0.23727 |
| radioactive gas | 0.405501 |
| soil | 0.232618 |
| high radon levels | 0.835551 |
| air | 0.258139 |
| foundation | 0.231733 |
| U.S. Environmental Protection | 0.517932 |
| smell | 0.240978 |
|
| lung cancer | 0.555677 |
| homes | 0.314374 |
| lungs | 0.245536 |
| free radon test | 0.850927 |
| holes | 0.236454 |
| liter | 0.246892 |
| inexpensive ways | 0.382734 |
| Home radon testing | 0.858068 |
| people | 0.256991 |
| Surgeon General | 0.365852 |
| radon exposure | 0.759368 |
| buildings | 0.231863 |
| small cracks | 0.406749 |
|
CLICK HERE |
| 11346 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Information"Seeking Among Chronic Disease Prevention Staff in State Health Departments: Use of Academic Journals - CDC |
Use of scientific evidence aids in ensuring that public health interventions have the best possible health and economic return on investment. We describe use of academic journals by state health department chronic disease prevention staff to find public health evidence. We surveyed more than 900 state health department staff from all states and the District of Columbia. Participants identified top journals or barriers to journal use. We used descriptive statistics to examine individual and aggregate state health department responses. On average, 45.7% of staff per state health department use journals. Common barriers to use included lack of time, lack of access, and expense. Strategies for increasing journal use are provided. |
| academic journals | 0.202949 |
| public health interventions | 0.275234 |
| Territorial Health Officers | 0.206313 |
| health department characteristics | 0.227203 |
| disease prevention staff | 0.206546 |
| Washington University | 0.257234 |
| aggregate state health | 0.243802 |
| Prevention Research Center | 0.264474 |
| Disease Control | 0.246172 |
| Rev Public Health | 0.210498 |
| state health department | 0.999585 |
| state health departments | 0.415065 |
| public health professionals | 0.215528 |
| health department staff | 0.472344 |
| public health | 0.768413 |
| scientific evidence | 0.285644 |
| health department participation | 0.224862 |
| health department chronic | 0.244726 |
|
| health department practice | 0.221095 |
| BMC Public Health | 0.239928 |
| Public Health Sciences | 0.213727 |
| Public Health Manag | 0.212848 |
| health digital libraries | 0.201443 |
| journals | 0.230196 |
| Chronic Disease Directors | 0.216844 |
| evidence-based public health | 0.272364 |
| St Louis | 0.338702 |
| public health evidence | 0.258217 |
| public health practice | 0.255978 |
| health department websites | 0.23021 |
| public health strategies | 0.241881 |
| chronic disease | 0.324008 |
| Public Health Service | 0.21468 |
| best possible health | 0.261419 |
| public health agencies | 0.220046 |
| chronic disease prevention | 0.280478 |
|
CLICK HERE |
| 11404 |
Centers for Disease Control and Prevention |
Html |
null |
Host a Local Campaign Community Event | Get Involved 'Campaign Partners | We Can Stop HIV One Conversation | Act Against AIDS |
List of partner organizations of One Conversation at a Time, CDC’s first national effort to encourage Hispanic/Latino families, friends, and communities to talk openly about HIV |
|
|
CLICK HERE |
| 12418 |
Centers for Disease Control and Prevention |
Html |
en |
Outbreaks of Unexplained Neurologic Illness - Muzaffarpur,India, 2013-2014 |
Aakash Shrivastava, MD1, Padmini Srikantiah, MD2,3, Anil Kumar, MD1, Gyan Bhushan, MD4, Kapil Goel, MD5, Satish Kumar, MD5, Tripurari Kumar, MBBS5, Raju Mohankumar, MBBS5, Rajesh Pandey, MBBS5, Parvez Pathan, MBBS5, Yogita Tulsian, MBBS5, Mohan Pappanna, MD6, Achhelal Pasi, MD6, Arghya Pradhan, MBBS6, Pankaj Singh, MBBS6, D. Somashekar, MD6, Anoop Velayudhan, MBBS6, Rajesh Yadav, MBBS6, Mala Chhabra, MD1, Veena Mittal, MD1, Shashi Khare, MD1, James J Sejvar, MD7, Mayank Dwivedi, MD2, Kayla Laserson, ScD2,3, Kenneth C. Earhart, MD2,3, P. |
| litchi harvesting season | 0.734393 |
| Vector Borne Disease | 0.754356 |
| A. Ramesh Kumar | 0.717955 |
| mental status | 0.749369 |
| acute onset seizures | 0.72801 |
| CSF samples | 0.711946 |
| Disease Control | 0.842782 |
| normal glucose levels | 0.712304 |
| acute neurologic illness | 0.772446 |
| health care providers | 0.709339 |
| Borne Disease Control | 0.758818 |
| Epidemic Intelligence Service | 0.753367 |
| risk factors | 0.748329 |
| normal CSF glucose | 0.780261 |
| outbreak illness | 0.735359 |
| patients | 0.816564 |
| infectious encephalitis | 0.771273 |
| National Centre | 0.739248 |
| median blood glucose | 0.721297 |
| peripheral health facilities | 0.714192 |
| acute noninflammatory encephalopathy | 0.719902 |
| New Delhi | 0.777866 |
| litchi fruit | 0.736358 |
| district health officials | 0.714613 |
| litchi fruit plantations | 0.719497 |
|
| Muzaffarpur district | 0.714409 |
| ongoing laboratory evaluation | 0.709525 |
| Indian National Centre | 0.715653 |
| CSF specimens | 0.85848 |
| blood glucose measurement | 0.717593 |
| blood glucose | 0.868842 |
| Disease Control Programme | 0.75968 |
| CSF normal protein | 0.753927 |
| rapid assessment | 0.751984 |
| Aakash Shrivastava | 0.71113 |
| noninflammatory encephalopathy | 0.779445 |
| public health recommendations | 0.718592 |
| low blood glucose | 0.814757 |
| hypoglycemia | 0.734291 |
| Intelligence Service Cohort | 0.754884 |
| ill children | 0.711102 |
| polymerase chain reaction | 0.931389 |
| affected children | 0.855187 |
| illness | 0.818631 |
| 4Muzaffarpur District Health | 0.711333 |
| current public health | 0.801985 |
| West Nile virus | 0.778589 |
| Japanese encephalitis virus | 0.870055 |
| Padmini Srikantiah | 0.711139 |
|
CLICK HERE |
| 12429 |
Centers for Disease Control and Prevention |
Html |
en |
Measles | Photos of Measles and People with Measles |CDC |
null |
| ultrastructural appearance | 0.34544 |
| moderate illness | 0.356976 |
| Dr. Raymond Strikas | 0.3972 |
| CDC | 0.310021 |
| pre-eruptive measles | 0.462752 |
| single virus particle | 0.382104 |
| runny nose | 0.416877 |
| teary eyes | 0.352416 |
| cough | 0.311171 |
| virion | 0.312236 |
| classic measles rash | 0.535597 |
| Histopathology | 0.309854 |
| patient | 0.32329 |
| transmission electron micrograph | 0.378854 |
| Koplik spots | 0.34321 |
| Face | 0.317612 |
| measles clinical features | 0.700033 |
| child healing | 0.344877 |
|
| Koplik’s spots | 0.344083 |
| measles virus | 0.502524 |
| 3D graphical representation | 0.377582 |
| intracytoplasmic inclusions | 0.349145 |
| beginning onset | 0.344534 |
| measles pneumonia | 0.461331 |
| measles rash | 0.59268 |
| PHIL Photo ID | 0.993937 |
| watery eyes | 0.352189 |
| Giant cell | 0.342588 |
| dark-skinned child | 0.353048 |
| measles virus particle | 0.499313 |
| Young boy | 0.345677 |
| Young child | 0.349594 |
| glycoprotein tubercles | 0.346171 |
| genus Morbillivirus | 0.347681 |
| measles | 0.701276 |
| measles infection | 0.594111 |
|
CLICK HERE |
| 12908 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Increased Confusion and Memory Loss in Households, 2011 Behavioral Risk Factor Surveillance System - CDC |
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. |
| experienced ICML | 0.707472 |
| functional difficulties | 0.419226 |
| Risk Factor Surveillance | 0.63625 |
| ICML measure | 0.630002 |
| Prev Chronic Dis | 0.417062 |
| Target Health Data | 0.44189 |
| level socioeconomic status | 0.418954 |
| health status differences | 0.426196 |
| Disease Control | 0.488691 |
| Sound Health Care | 0.429785 |
| augment community planning | 0.431468 |
| ICML | 0.986384 |
| high-income households | 0.565513 |
| cognitive function | 0.461035 |
| family members | 0.418931 |
| Self-reported memory complaints | 0.42998 |
| annual household incomes | 0.570004 |
| BRFSS selection process | 0.431345 |
| public health communication | 0.457156 |
| household-level variables | 0.436683 |
| neighborhood-level socioeconomic status | 0.427173 |
| Ment Health Policy | 0.424595 |
| available household weights | 0.518502 |
| Behavioral Risk Factor | 0.636622 |
|
| separate living quarter | 0.414864 |
| household members | 0.444234 |
| adults | 0.461591 |
| cognitive decline | 0.832107 |
| adult household member | 0.563582 |
| Erin D. Bouldin | 0.41095 |
| total households | 0.578259 |
| annual state-based telephone | 0.434396 |
| household size | 0.445589 |
| household weights | 0.613158 |
| public health | 0.500836 |
| household level | 0.465055 |
| American Community Survey | 0.419765 |
| public health programs | 0.431986 |
| households | 0.879203 |
| low-income households | 0.561068 |
| ICML questions | 0.666958 |
| memory loss | 0.607686 |
| Neighborhood socioeconomic status | 0.416999 |
| et al | 0.524283 |
| older adults | 0.415394 |
| household | 0.630143 |
| mild cognitive impairment | 0.545121 |
| memory complaints | 0.510479 |
|
CLICK HERE |
| 15694 |
Centers for Disease Control and Prevention |
Html |
en |
Evaluating the Impact of National Public Health DepartmentAccreditation - United States, 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| accreditation process report | 0.304277 |
| public health decision-makers | 0.292726 |
| state-based public health | 0.292006 |
| management processes | 0.31331 |
| public health practitioners | 0.299612 |
| PHAB Accreditation Committee | 0.318385 |
| public health departments | 0.429023 |
| quality improvement | 0.567756 |
| public health accreditation | 0.50122 |
| national public health | 0.293092 |
| public health department | 0.367532 |
| public’s health | 0.30543 |
| health accreditation program | 0.457221 |
| public health standards | 0.300662 |
| Public Health Services | 0.319541 |
| nonprofit Public Health | 0.30356 |
| Health Performance Improvement | 0.291263 |
| nationally accredited health | 0.289604 |
| 5-year accreditation | 0.286961 |
| time health departments | 0.324876 |
| public health practice | 0.309767 |
| health department personnel | 0.290002 |
| public health agencies | 0.289125 |
| territorial public health | 0.302542 |
|
| Essential Public Health | 0.354385 |
| public health infrastructure | 0.299423 |
| applicant health departments | 0.313807 |
| Services.†Health departments | 0.325206 |
| accreditation process | 0.35789 |
| surveys health departments | 0.321865 |
| governmental public health | 0.404538 |
| health departments | 0.904157 |
| local health departments | 0.423047 |
| public health | 0.732789 |
| national accreditation program | 0.307282 |
| voluntary public health | 0.337631 |
| Indiana health department | 0.295658 |
| health department | 0.514507 |
| public health programs | 0.292959 |
| performance improvement opportunities | 0.340073 |
| public health peers | 0.294505 |
| local public health | 0.363608 |
| Health Accreditation Board | 0.418967 |
| community health assessment | 0.284513 |
| public health field | 0.289176 |
| health department document | 0.289588 |
| quality improvement activities | 0.293046 |
| PHAB-accredited health departments | 0.328475 |
|
CLICK HERE |
| 16332 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Sexual Violence | CDC Features |
Prevent sexual violence on college campuses. |
| college campuses | 0.484504 |
| university campuses | 0.435272 |
| community stakeholders | 0.372028 |
| university setting | 0.367316 |
| align prevention efforts | 0.558653 |
| Technical Package | 0.369312 |
| current thinking | 0.366259 |
| Key constituencies | 0.38673 |
| task force | 0.757583 |
| MB | 0.260935 |
| action planning meeting | 0.5163 |
| campus partners | 0.371061 |
| state teams | 0.375097 |
| subject matter experts | 0.525778 |
| prevention educators | 0.405757 |
| SV prevention strategies | 0.806068 |
| greater impact | 0.364282 |
| Sexual Assault | 0.392657 |
| difficult work | 0.387291 |
| additional tools | 0.384369 |
| prevention messages | 0.391866 |
| university administrators | 0.373432 |
| public health practice | 0.50416 |
| CDC’s RPE | 0.499647 |
|
| programs | 0.258145 |
| Rape Prevention | 0.41041 |
| action planning meetings | 0.510207 |
| components | 0.27245 |
| mandate | 0.233695 |
| think tank findings | 0.537528 |
| Protect Students | 0.376322 |
| law enforcement | 0.375141 |
| grantees | 0.276587 |
| prevention practitioners | 0.405771 |
| federal partners | 0.374066 |
| sexual violence | 0.909956 |
| SV resource centers | 0.801141 |
| SV prevention efforts | 0.811364 |
| Primary prevention—preventing violence | 0.595525 |
| White House | 0.386876 |
| multi-year actionable plans | 0.535474 |
| federal enforcement efforts | 0.550335 |
| best available evidence | 0.508279 |
| Prevent Sexual Violence | 0.597878 |
| prevention policies | 0.41155 |
| time | 0.260146 |
| U.S. campuses | 0.447736 |
| Culture change | 0.389111 |
|
CLICK HERE |