| 6558 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field : Use of Tetanus, Diphtheria, and Pertussis Vaccine (Tdap) in an Emergency Department - Arizona, 2009-2010 |
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. |
| tetanus vaccines | 0.619779 |
| mmwrq@cdc.gov. | 0.517297 |
| electronic medical record | 0.578622 |
| physician order entry | 0.605426 |
| original MMWR paper | 0.579486 |
| diphtheria toxoid | 0.532884 |
| tetanus vaccinations | 0.699305 |
| Human Services | 0.572474 |
| assistive technology | 0.519144 |
| MMWR HTML versions | 0.572013 |
| U.S. Department | 0.565578 |
| Td | 0.786906 |
| Immunization Practices | 0.519998 |
| tetanus | 0.783608 |
| ACIP-recommended Tdap vaccine | 0.674842 |
| inappropriate vaccine | 0.567408 |
| Advisory Committee | 0.519979 |
| Td administration | 0.60531 |
| licensed Tdap vaccine | 0.673908 |
| electronic PDF version | 0.579145 |
| pertussis cases | 0.525761 |
| trauma patients | 0.537264 |
| inpatient pharmacy database | 0.594949 |
|
| tetanus toxoid | 0.637537 |
| physician order | 0.608882 |
| nursing documentation | 0.762526 |
| ACIP recommendation | 0.655877 |
| tetanus boosters | 0.598854 |
| vaccine types | 0.579264 |
| subject line | 0.520508 |
| adherence | 0.558495 |
| patients | 0.754912 |
| ACIP guidelines | 0.924685 |
| study period | 0.714572 |
| paper copy | 0.570995 |
| tetanus booster | 0.698431 |
| ACIP recommendations | 0.876233 |
| vaccine | 0.738993 |
| proper Tdap | 0.525403 |
| booster immunization | 0.51669 |
| correct vaccine | 0.573708 |
| original paper copy | 0.569583 |
| Tdap vaccination | 0.523112 |
| automated medication dispensary | 0.598507 |
| single dose | 0.515365 |
|
CLICK HERE |
| 8073 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Grand Rounds: The Growing Threat of Multidrug-ResistantGonorrhea |
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. |
| empiric gonorrhea treatment | 0.469391 |
| Gonococcal fluoroquinolone resistance | 0.411519 |
| New antimicrobial treatment | 0.394716 |
| gonorrhea therapy | 0.405265 |
| state STD control | 0.380895 |
| antimicrobial susceptibility surveillance | 0.388129 |
| untreatable gonorrhea | 0.427693 |
| effective antimicrobial therapy | 0.374937 |
| Robert D. Kirkcaldy | 0.33557 |
| ceftriaxone-resistant Neisseria gonorrhoeae | 0.369371 |
| single oral dose | 0.464781 |
| state health departments | 0.349587 |
| multidrug-resistant gonorrhea | 0.429553 |
| antimicrobial resistance phenotypes | 0.398137 |
| Gonococcal Isolate Surveillance | 0.571935 |
| resistance mutations | 0.349016 |
| minimum inhibitory concentrations | 0.355441 |
| gonococcal antimicrobial susceptibility | 0.568952 |
| Neisseria gonorrhoeae | 0.422598 |
| elevated cefixime MICs | 0.383675 |
| gonorrhea treatment | 0.563584 |
| public health laboratories | 0.44042 |
| CDC STD treatment | 0.3749 |
| cephalosporin antimicrobial resistance | 0.425251 |
| public health STD | 0.34487 |
|
| United States | 0.946349 |
| gonorrhea | 0.657726 |
| cephalosporin resistance | 0.347299 |
| gonococcal infection | 0.336103 |
| fluoroquinolone-resistant N. gonorrhoeae | 0.458215 |
| rectal gonorrhea | 0.382992 |
| local antimicrobial susceptibility | 0.390583 |
| gonorrhea control | 0.415149 |
| Antimicrobial drug development | 0.354808 |
| Sex Transm Dis | 0.350375 |
| public health | 0.689701 |
| antimicrobial treatment | 0.398456 |
| antimicrobial susceptibility testing | 0.626274 |
| treatment failures | 0.339548 |
| culture-based antimicrobial susceptibility | 0.366878 |
| Empiric antimicrobial therapy | 0.381271 |
| N. gonorrhoeae | 0.79495 |
| local public health | 0.408042 |
| public health problem | 0.403916 |
| elevated cephalosporin MICs | 0.373215 |
| STD control programs | 0.380888 |
| et al | 0.369739 |
| gonococcal antimicrobial resistance | 0.575122 |
| Isolate Surveillance Project | 0.412674 |
|
CLICK HERE |
| 9319 |
Centers for Disease Control and Prevention |
Html |
es |
CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0185 |
CDC - Wide Page example description goes here |
| menor conocimiento | 0.818442 |
|
| percepciones correctas | 0.971711 |
|
CLICK HERE |
| 9664 |
Centers for Disease Control and Prevention |
Html |
en |
Veterinary Health Care - NIOSH Workplace Safety and Health Topic |
Veterinary medicine and animal care workers provide medical, surgical, preventive health or animal care services for a variety of animal species in many different workplace settings. These workers are exposed to biological, chemical, physical, and psychological hazards depending on their workplace setting, species of animals worked with, and type of tasks performed. |
| United States | 0.566564 |
| preventive health | 0.627075 |
| stakeholders | 0.373894 |
| Veterinary medicine | 0.610578 |
| type | 0.343037 |
| non-farm animal caretakers | 0.836156 |
| veterinarians | 0.356464 |
| NORA | 0.371947 |
| variety | 0.347954 |
| Labor Statistics | 0.556711 |
| animals | 0.343224 |
| veterinary medical workers | 0.787447 |
| health hazards | 0.60933 |
|
| tasks | 0.354461 |
| Bureau | 0.346033 |
| NIOSH National Occupational | 0.837497 |
| Research Agenda | 0.581686 |
| animal care services | 0.867634 |
| Social Assistance Sector | 0.787374 |
| psychological hazards | 0.647995 |
| academics | 0.352905 |
| animal species | 0.606008 |
| veterinary technicians | 0.57639 |
| Healthcare | 0.341154 |
| priority workplace safety | 0.880717 |
| different workplace settings | 0.973039 |
|
CLICK HERE |
| 11367 |
Centers for Disease Control and Prevention |
Html |
en |
Disease Detective: Molly - CDC Responds to the 2014 Ebola Outbreak |
CDC works 24/7 saving lives, protecting people from health threats, and saving money to have a more secure nation. A US federal agency, CDC helps make the healthy choice the easy choice by putting science and prevention into action. CDC works to help people live longer, healthier and more productive lives. |
| health education | 0.697201 |
| cultural competence | 0.850389 |
| Molly | 0.899296 |
| immediate interpersonal connections | 0.652417 |
| Ebola outbreak | 0.735274 |
| local organizations | 0.545476 |
| West African clothing | 0.663141 |
| numerous other CDC | 0.548849 |
| UNICEF office | 0.549665 |
| important questions | 0.538477 |
| Atlanta-based organization | 0.549699 |
| contact tracers | 0.55675 |
| contact tracing | 0.541223 |
| past deployments | 0.547762 |
| personal view | 0.531519 |
| burial customs | 0.555005 |
| previous work | 0.546142 |
| community health workers | 0.687569 |
| small targeted interventions | 0.674097 |
| Mexico Oil Spill | 0.668006 |
| world views | 0.541481 |
| Ebola patients | 0.643039 |
| dead body | 0.535569 |
| conduct training | 0.543282 |
| simple strategy | 0.542604 |
|
| mass communication | 0.553525 |
| important rituals | 0.555419 |
| multistate meningitis outbreak | 0.716411 |
| good fit | 0.54856 |
| general population | 0.532473 |
| health communications specialist | 0.935242 |
| cross cultural competence | 0.701564 |
| sea change | 0.550497 |
| local residents | 0.547738 |
| Global Health Action | 0.688101 |
| current outbreak | 0.567874 |
| Peace Corps | 0.542908 |
| crucial task | 0.540258 |
| community education | 0.553976 |
| respectful way | 0.56909 |
| overall opinion | 0.539561 |
| H1N1 influenza pandemic | 0.671548 |
| health promotion support | 0.720789 |
| African cultural norms | 0.649855 |
| West Africa | 0.695945 |
| radio spots | 0.549397 |
| local language | 0.540164 |
| dead bodies | 0.561388 |
| community health education | 0.689483 |
|
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| 11793 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field: Increase in Gonorrhea Cases inCounties Associated with American Indian Reservations - Montana,January 2012-August 2014 |
Randall J. Nett, MD1,2, Peter Choi2, Cara Murolo2, James S. Murphy2 (Author affiliations at end of text). |
| Public Health | 0.435093 |
| Area Indian Health | 0.416328 |
| current CDC guidelines | 0.408914 |
| multiple sexual partners | 0.404952 |
| Montana counties | 0.603548 |
| gonorrhea | 0.877246 |
| United States | 0.44148 |
| drug treatment facilities | 0.392109 |
| U.S. Government Printing | 0.395105 |
| original MMWR paper | 0.38548 |
| Sexual contacts | 0.308262 |
| Human Services | 0.582471 |
| annual incidence rates | 0.467244 |
| Montana cases | 0.381464 |
| gonorrhea screening | 0.542332 |
| race classification | 0.316313 |
| MMWR HTML versions | 0.387904 |
| U.S. Department | 0.376215 |
| electronic PDF version | 0.381933 |
| tribal health departments | 0.578059 |
| state health departments | 0.418255 |
| preferred treatment regimen | 0.400573 |
| Roosevelt County | 0.42127 |
| sexually active females | 0.421081 |
|
| illicit drug | 0.311357 |
| uncomplicated gonorrhea | 0.564284 |
| U.S. incidence rates | 0.443501 |
| surveillance data | 0.320415 |
| increased transmission | 0.318913 |
| Contact GPO | 0.313875 |
| median patient | 0.316598 |
| STD testing practices | 0.421027 |
| sexually active males | 0.424791 |
| Indian Health Service | 0.582809 |
| county health departments | 0.419277 |
| sexually transmitted disease | 0.4227 |
| gonorrhea transmission | 0.60155 |
| gonorrhea cases | 0.689012 |
| Neisseria gonorrhoeae | 0.317591 |
| incidence rates | 0.57225 |
| traditional medical clinics | 0.393814 |
| AI/Alaska Native | 0.316268 |
| original paper copy | 0.383308 |
| AI reservations | 0.936757 |
| Montana Department | 0.437463 |
| STD testing | 0.507148 |
| gonorrhea incidence | 0.710251 |
|
CLICK HERE |
| 12600 |
Centers for Disease Control and Prevention |
Video |
en |
Video: Global Disease Detectives - Answers from Kibera |
Examples of CDC at work in the world help protect America and all from disease threats that respect no borders.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at http://www.cdc.gov/globalhealth/video/gdd/answerskibera/answerskibera.htm |
| Kibera | 0.696236 |
| CDC | 0.513601 |
|
| Answers | 0.209896 |
| Global Disease Detectives | 0.975034 |
|
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| 13847 |
Centers for Disease Control and Prevention |
Html |
en |
Jackie's Story |
The story of Jackie, a 38-year-old woman with a family history of breast cancer. |
| instructions | 0.325562 |
| genetic counselor | 0.564349 |
| genetic testingTests | 0.439773 |
| ovaries | 0.325865 |
| father | 0.324767 |
| roadmap | 0.376187 |
| life | 0.327449 |
| princesses | 0.331729 |
| Amelia | 0.326889 |
| signs | 0.326184 |
| regular screening | 0.429707 |
| Jackie | 0.742031 |
| paternal family history | 0.629506 |
| options | 0.324971 |
| bright future | 0.591771 |
| genetic counseling.A | 0.443445 |
| action | 0.329396 |
| medication safety evaluator | 0.557133 |
| genetic disease | 0.442472 |
| paternal grandmother | 0.492405 |
| health care | 0.446168 |
| genetic change | 0.438717 |
|
| higher risk | 0.436388 |
| 4-year-old daughter | 0.633659 |
| breast cancer screening | 0.60564 |
| ovarian cancer | 0.954062 |
| gene mutation | 0.615901 |
| BRCA1 gene mutation | 0.560518 |
| breast cancer | 0.707925 |
| preventive surgeries | 0.441827 |
| relatives | 0.329136 |
| disease. | 0.325376 |
| doctor | 0.326388 |
| chemical database | 0.442236 |
| BRCA gene mutation | 0.606776 |
| 30s | 0.33328 |
| personal medical history | 0.558797 |
| spending time | 0.440048 |
| 40s | 0.332504 |
| risk | 0.469397 |
| paternal aunts | 0.496353 |
| Maryland | 0.324769 |
| body’s functions | 0.441907 |
|
CLICK HERE |
| 15468 |
Centers for Disease Control and Prevention |
Html |
en |
Rubella Fact Sheet for Parents |
CDC fact sheet for parents: Rotavirus and the Vaccine (Drops) to Prevent It |
| Yes. The MMR | 0.555286 |
| American Academy | 0.463752 |
| Español | 0.419611 |
| runny nose | 0.475791 |
| Page | 0.429058 |
| best way | 0.480457 |
| following symptoms | 0.464142 |
| pages | 0.416064 |
| Rubella spreads | 0.604624 |
| Disease Control | 0.466363 |
| children | 0.513698 |
| best protection | 0.48154 |
| pregnant woman | 0.71663 |
| Family Physicians | 0.46862 |
| rubella | 0.823275 |
| soreness | 0.418037 |
| heart defects | 0.479073 |
| sick child | 0.478195 |
| Color | 0.416072 |
| potentially serious disease | 0.475725 |
| No. Scientists | 0.473489 |
| Doctors | 0.429906 |
| spleen damage | 0.468574 |
| effects | 0.467792 |
| visit www.cdc.gov/rubella | 0.465345 |
|
| older children | 0.468977 |
| temporary pain | 0.470577 |
| following ages | 0.480559 |
| brain infections | 0.467554 |
| rare cases | 0.466114 |
| intellectual disability | 0.467639 |
| mumps | 0.435811 |
| child | 0.538386 |
| problems | 0.42287 |
| unborn baby | 0.546019 |
| in-depth information | 0.466811 |
| doses | 0.417274 |
| United States | 0.473436 |
| adults | 0.444011 |
| MMR shot | 0.939289 |
| infected person coughs | 0.526856 |
| child care | 0.476597 |
| miscarriage | 0.457705 |
| German measles | 0.481691 |
| visit www.cdc.gov/vaccines/parents | 0.465632 |
| birth defects | 0.701616 |
| people | 0.427095 |
| rash | 0.583969 |
| high fever | 0.481681 |
|
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| 16451 |
Centers for Disease Control and Prevention |
Html |
en |
Concordance Between Life Satisfaction and Six Elements ofWell-Being Among Respondents to a Health Assessment Survey,HealthPartners Employees, Minnesota, 2011 |
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. |
| mental well-being | 0.354413 |
| mental health | 0.272117 |
| health care provider | 0.278852 |
| high well-being | 0.375319 |
| health risk behaviors | 0.263332 |
| negative life circumstances | 0.28065 |
| higher life satisfaction | 0.330147 |
| self-reported high levels | 0.294213 |
| Well-being comprises | 0.366318 |
| life satisfaction | 0.977442 |
| well-being measure | 0.410453 |
| community support | 0.299355 |
| financial status | 0.296061 |
| Nearly two-thirds | 0.255162 |
| well-being | 0.73686 |
| subjective well-being | 0.466321 |
| HealthPartners institutional review | 0.258332 |
| response rate | 0.258299 |
| member-governed integrated health | 0.272013 |
| high overall well-being | 0.657411 |
| extensive internal discussions | 0.257889 |
| health assessment | 0.368989 |
| respondents | 0.295075 |
| physical health | 0.300797 |
| health benefit incentive | 0.267209 |
|
| interpersonal satisfaction | 0.297703 |
| high level | 0.328322 |
| community well-being | 0.355144 |
| well-being elements | 0.517868 |
| well-being element | 0.358459 |
| financial well-being | 0.355319 |
| career well-being | 0.354805 |
| meeting well-being criteria | 0.376216 |
| physical well-being | 0.355208 |
| unfavorable life circumstances | 0.272875 |
| Health Promotion Department | 0.262397 |
| self-reported life satisfaction | 0.790426 |
| health insurance company | 0.278797 |
| good health | 0.282911 |
| health | 0.416824 |
| emotional response level | 0.260277 |
| HealthPartners | 0.282339 |
| health assessment data | 0.27204 |
| health insurance services | 0.271153 |
| career status | 0.297462 |
| overall well-being | 0.659299 |
| employee health assessments | 0.270213 |
| member companies | 0.26321 |
| interpersonal well-being | 0.354333 |
|
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