| 1202 |
Centers for Disease Control and Prevention |
Html |
en |
Announcements: Epidemic Intelligence Service ApplicationDeadline - August 15, 2014 |
Applications are being accepted for CDC's July 2015–June 2017 Epidemic Intelligence Service (EIS) program. EIS is a 2-year, postgraduate program of service and on-the-job training for health professionals interested in the practice of epidemiology. Each year, EIS selects approximately 80 persons from applicants around the world and provides them with opportunities to gain hands-on experience in epidemiology at CDC or at state or local health departments. |
| disease detectives | 0.659769 |
| CDC | 0.743103 |
| endorsement | 0.566729 |
| behavioral science | 0.651731 |
| hands-on experience | 0.655559 |
| Human Services | 0.751313 |
| MMWR HTML versions | 0.7639 |
| U.S. Department | 0.747662 |
| permanent residency | 0.646525 |
| limited number | 0.648064 |
| J-1 visa | 0.646452 |
| EIS officers | 0.870918 |
| electronic PDF version | 0.751019 |
| Non-U.S. citizens | 0.642923 |
| EIS online application | 0.968842 |
| health professionals | 0.82189 |
| Epidemic Intelligence Service | 0.822155 |
| Contact GPO | 0.671095 |
| commercial sources | 0.645155 |
| public health degree | 0.817618 |
| EIS | 0.99435 |
| current prices | 0.639857 |
| occupy leadership positions | 0.794942 |
| original paper copy | 0.745606 |
|
| public health agencies | 0.824475 |
| U.S. citizenship | 0.664395 |
| nursing degree | 0.656126 |
| on-the-job training | 0.678236 |
| U.S. Government Printing | 0.759411 |
| original MMWR paper | 0.758485 |
| EIS class | 0.85271 |
| MMWR readers | 0.651505 |
| character translation | 0.63761 |
| epidemiology | 0.641963 |
| local health departments | 0.820328 |
| format errors | 0.639303 |
| doctoral-level scientist | 0.66581 |
| typeset documents | 0.646094 |
| trade names | 0.645257 |
| official text | 0.635843 |
| population health perspective | 0.814346 |
| postgraduate program | 0.669941 |
| clinical training | 0.651404 |
| non-CDC sites | 0.643684 |
| clinical specialty | 0.649573 |
| unrestricted U.S. license | 0.795114 |
| electronic conversions | 0.635486 |
| program details | 0.65065 |
|
CLICK HERE |
| 7951 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | State-Based and DemographicVariation in Parent-Reported Medication Rates forAttention-Deficit/Hyperactivity Disorder, 2007-2008 - CDC |
Medication is the most effective treatment of attention-deficit/hyperactivity disorder (ADHD), a common neurobehavioral disorder of childhood. We used data from the 2007-2008 National Survey of Children’s Health to calculate weighted estimates of parent-reported ADHD and medication treatment among US children aged 4 to 17 years, by state and sex-stratified age. |
| North Carolina | 0.295874 |
| Medication rates | 0.360853 |
| ADHD medication treatment | 0.756217 |
| lowest state-based rates | 0.34233 |
| Child Health Bureau | 0.290518 |
| current diagnosis | 0.344283 |
| parent-reported ADHD | 0.52916 |
| medication treatment question | 0.394125 |
| current ADHD diagnosis | 0.758632 |
| ADHD medications | 0.474676 |
| complex survey design | 0.294174 |
| overall response rate | 0.288716 |
| effective treatment | 0.315562 |
| Disease Control | 0.314736 |
| ADHD medication shortages | 0.558243 |
| children | 0.398405 |
| stimulant medication | 0.346085 |
| common ADHD medications | 0.459422 |
| Future state-based investigations | 0.320571 |
| claims data | 0.28938 |
| nonresponse-adjusted weight variables | 0.288147 |
| monitoring ADHD treatment | 0.52606 |
| sex-stratified age | 0.351054 |
| medication treatment | 0.829485 |
| mental health services | 0.288387 |
|
| different medication | 0.340239 |
| medication treatment factors | 0.435795 |
| parent-reported ADHD diagnosis | 0.513849 |
| landline telephone survey | 0.298603 |
| school-aged children | 0.3149 |
| ADHD prevalence | 0.422493 |
| Research Triangle Park | 0.287558 |
| current medication treatment | 0.412089 |
| ADHD | 0.97472 |
| Medication treatment rates | 0.418891 |
| state-based rates | 0.418335 |
| Children’s Health | 0.318215 |
| common neurobehavioral disorder | 0.401171 |
| state-based investigations | 0.34235 |
| survey design change | 0.287743 |
| ADHD medication | 0.849841 |
| ADHD subtypes | 0.426782 |
| current ADHD | 0.776 |
| National Survey | 0.302398 |
| attention-deficit/hyperactivity disorder | 0.313863 |
| ADHD diagnosis question | 0.497474 |
| public health efforts | 0.306104 |
| state-based policy | 0.287045 |
| claims data sources | 0.285981 |
|
CLICK HERE |
| 10208 |
Centers for Disease Control and Prevention |
Html |
en |
Wildfire Smoke |
The Centers for Disease Control and Prevention (CDC) provides information on how to stay safe and healthy before, during, and after a wildfire including avoiding health impacts from wildfire smoke and cleaning up safely. |
| areas | 0.522533 |
| office | 0.501515 |
| full-sized image | 0.945947 |
| wildfires | 0.67088 |
| landscaping | 0.547411 |
| steps | 0.539413 |
| people | 0.523212 |
| home | 0.74003 |
|
| Ready | 0.541313 |
| print | 0.502381 |
| wildfire | 0.991122 |
| homes | 0.522805 |
| risk | 0.509611 |
| Infographic | 0.501415 |
| family | 0.507414 |
|
CLICK HERE |
| 11187 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | The Contributions of Selected Diseases to Disparities in Death Rates and Years of Life Lost for Racial/Ethnic Minorities in the United States, 1999"2010 - CDC |
Differences in risk for death from diseases and other causes among racial/ethnic groups likely contributed to the limited improvement in the state of health in the United States in the last few decades. The objective of this study was to identify causes of death that are the largest contributors to health disparities among racial/ethnic groups. |
| death | 0.862214 |
| malignant neoplasms | 0.616638 |
| ischemic heart disease | 0.714214 |
| blacks | 0.548031 |
| higher relative risk | 0.523499 |
| API population | 0.553732 |
| whites | 0.675411 |
| health disparities | 0.578088 |
| causes | 0.684847 |
| black population | 0.524665 |
| Supplemental Table | 0.536431 |
| AAMR | 0.942448 |
| dYLL | 0.851685 |
| non-Hispanic whites | 0.597381 |
| mortality risk | 0.535646 |
| racial/ethnic group | 0.552106 |
| disparities | 0.809396 |
|
| relative disparities shifts | 0.532722 |
| racial/ethnic groups | 0.974887 |
| higher risk | 0.601855 |
| age-adjusted mortality ratio | 0.526634 |
| largest AAMR | 0.573652 |
| lower risk | 0.544167 |
| diseases | 0.809162 |
| AIAN population | 0.613262 |
| Health Disparities Research | 0.54521 |
| population | 0.666095 |
| age-adjusted mortality | 0.550434 |
| life expectancy | 0.62266 |
| Hispanic population | 0.539702 |
| white population | 0.584305 |
| risk | 0.643523 |
| post hoc analysis | 0.549023 |
|
CLICK HERE |
| 11894 |
Centers for Disease Control and Prevention |
Html |
en |
Identify, Isolate, Inform: Emergency Department Evaluation and Management for Patients Who Present with Possible Ebola Virus Disease |
Emergency Department Evaluation and Management for Patients Who Present with Possible Ebola Virus Disease |
| invasive medical care | 0.594174 |
| exposure criteria | 0.627919 |
| separate enclosed area | 0.579962 |
| ebola virus | 0.883907 |
| staff members screen | 0.63414 |
| essential healthcare workers | 0.592194 |
| systematically assess patients | 0.629177 |
| ED evaluation | 0.543712 |
| personal protective equipment | 0.769342 |
| patients | 0.822222 |
| outpatient setting | 0.513767 |
| ebola virus disease | 0.794557 |
| body fluids | 0.606192 |
| patient care | 0.55198 |
| EVD exposure | 0.583157 |
| symptoms | 0.615477 |
| EVD | 0.89063 |
| coffee ground emesis | 0.585361 |
| environmental infection prevention | 0.599445 |
| limited symptoms | 0.52127 |
| clinical condition | 0.593189 |
| continuous safety checks | 0.582386 |
| severe EVD | 0.547172 |
| PPE | 0.644603 |
|
| additional guidance documents | 0.615421 |
| appropriate PPE | 0.64336 |
| infection control | 0.597499 |
| Patient evaluation | 0.55451 |
| local health department | 0.710551 |
| exposure history | 0.553461 |
| Emergency department | 0.523883 |
| patient | 0.911551 |
| clinical symptoms | 0.540542 |
| early symptoms | 0.519128 |
| local health departments | 0.612049 |
| relevant local health | 0.7103 |
| ED staff | 0.642124 |
| febrile patients | 0.550549 |
| staff members | 0.830476 |
| non-essential healthcare workers | 0.600395 |
| Hospital Infection Control | 0.578745 |
| Healthcare facilities | 0.515745 |
| relevant exposure | 0.693664 |
| active resuscitation | 0.598343 |
| healthcare workers | 0.96882 |
| infection control team | 0.59673 |
| u.s. hospitals | 0.59847 |
| surgical face mask | 0.564058 |
|
CLICK HERE |
| 13198 |
Centers for Disease Control and Prevention |
Html |
en |
Cancer Screening Test Use - United States, 2013 |
Susan A. Sabatino, MD1, Mary C. White, ScD1, Trevor D. |
| recent cervical cancer | 0.395933 |
| routine screening | 0.57903 |
| CRC test | 0.529943 |
| National Health Interview | 0.371318 |
| NHIS data | 0.487068 |
| NHIS survey | 0.362832 |
| subgroups | 0.364815 |
| low screening | 0.488507 |
| screening definitions | 0.481078 |
| privately insured respondents | 0.398357 |
| large screening disparities | 0.571463 |
| Pap test | 0.668287 |
| colorectal cancer | 0.507295 |
| CRC screening | 0.804448 |
| recent CRC tests | 0.454136 |
| adequate prior screening | 0.532538 |
| cancer screening target | 0.587932 |
| Pap test data | 0.388468 |
| Cancer Control Program | 0.45191 |
| National Colorectal Cancer | 0.363929 |
| occult blood test | 0.381773 |
| usual source | 0.65019 |
| screening percentages | 0.495287 |
| Colorectal Cancer Control | 0.454137 |
|
| USPSTF recommendations | 0.375166 |
| CRC screening options | 0.613936 |
| women | 0.551648 |
| recent data | 0.369839 |
| care | 0.369035 |
| low-cost screening | 0.484074 |
| Sample Adult file | 0.362927 |
| Carrie N. Klabunde | 0.36478 |
| targets | 0.454878 |
| recent U.S. Preventive | 0.36818 |
| privately insured women | 0.509782 |
| Mary C. White | 0.365582 |
| percentage points | 0.580048 |
| Publicly insured respondents | 0.398273 |
| Healthy People | 0.930418 |
| Susan A. Sabatino | 0.361746 |
| Imputed Income files | 0.363036 |
| sample adult response | 0.360664 |
| Services Task Force | 0.363821 |
| health care coverage | 0.366724 |
| Cervical cancer screening | 0.678114 |
| CRC testing options | 0.420825 |
| preventive services | 0.423847 |
| recent Pap test | 0.40752 |
|
CLICK HERE |
| 13849 |
Centers for Disease Control and Prevention |
Html |
en |
Arthritis Help for Veterans | CDC Features |
Improve veterans quality of life with physical activity and other arthritis management strategies. |
| data | 0.420699 |
| disability | 0.418919 |
| Risk Factor Surveillance | 0.80775 |
| CDC study | 0.521067 |
| Morb Mort | 0.521712 |
| physical activity programs | 0.767901 |
| no-cost physical activity | 0.625712 |
| aerobics—all good forms | 0.593904 |
| community programs | 0.509515 |
| physical activity classes | 0.599172 |
| overuse injuries | 0.534607 |
| community center | 0.508161 |
| health problems | 0.508232 |
| arthritis | 0.943188 |
| young adults | 0.515495 |
| local YMCA | 0.510137 |
| Qin | 0.425751 |
| Behavioral Risk Factor | 0.808418 |
| Baker NA | 0.504841 |
| healthy level | 0.502269 |
| women | 0.421221 |
| veterans | 0.972187 |
| Brady TJ | 0.510485 |
| reasons | 0.420028 |
| mood | 0.419499 |
|
| United States | 0.50644 |
| Hootman JM | 0.519969 |
| life | 0.422522 |
| Helmick CG | 0.509455 |
| state programs | 0.502622 |
| KA | 0.421924 |
| Murray GR | 0.509449 |
| study findings | 0.515096 |
| middle-aged adults | 0.5232 |
| CDC funds | 0.507442 |
| KD | 0.422512 |
| park | 0.419165 |
| pain | 0.465845 |
| active duty | 0.525175 |
| Barbour KE | 0.516674 |
| self-management education classes | 0.601616 |
| people | 0.458958 |
| chronic conditions | 0.506026 |
| physical activity | 0.867712 |
| LB | 0.421794 |
| veterans quality | 0.67575 |
| low-impact activities | 0.513144 |
| Rep | 0.420157 |
| movement | 0.418879 |
|
CLICK HERE |
| 14201 |
Centers for Disease Control and Prevention |
Html |
en |
For Healthcare Providers | Zika virus |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| local transmission | 0.365316 |
| virus disease cases | 0.642698 |
| territorial health department | 0.704269 |
| probable cases | 0.406394 |
|
| Zika virus disease | 0.962004 |
| nationally notifiable condition | 0.783223 |
| territorial health departments | 0.713329 |
|
CLICK HERE |
| 14209 |
Centers for Disease Control and Prevention |
Html |
en |
Consumer Reports looks at how well hospitals prevent common infections | Safe Healthcare | Blogs |
CDC - Blogs - Safe Healthcare – Consumer Reports looks at how well hospitals prevent common infectionsSafe Healthcare - The Division of Healthcare Quality Promotion plans to blog on as many healthcare safety topics as possible. We encourage your participation in our discussion and look forward to an active exchange of ideas. |
|
|
CLICK HERE |
| 15818 |
Centers for Disease Control and Prevention |
Html |
en |
National Diabetes Prevention Program Infographic | Social Media | Resource Center | Diabetes | CDC |
National Diabetes Prevention Program: Working Together to Prevent Type 2 Diabetes |
|
|
CLICK HERE |