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Put Vaccination on Your Back-to-School List | CDC Features |
Beat the back-to-school rush! Make an appointment for vaccinations before the back-to-school rush begins at the doctor's office. |
| Tdap vaccine | 0.759903 |
| illnesses | 0.425151 |
| healthy kids | 0.519536 |
| boys | 0.452343 |
| appointment | 0.426476 |
| girls | 0.452318 |
| pertussis | 0.430455 |
| VFC | 0.442609 |
| tetanus | 0.42916 |
| Alaska Native | 0.524188 |
| septicemia | 0.435019 |
| children | 0.491279 |
| bacteremia | 0.424419 |
| family members | 0.550068 |
| soreness | 0.431834 |
| diseases | 0.447857 |
| program provides | 0.515565 |
| friends | 0.427262 |
| bloodstream infections | 0.551171 |
| back-to-school rush | 0.5621 |
| HPV infections | 0.581596 |
| shots | 0.452217 |
| child | 0.451716 |
| vaccines | 0.880304 |
| following vaccines | 0.700154 |
|
| chronic health conditions | 0.626533 |
| flu vaccine | 0.921373 |
| teens | 0.476055 |
| HPV vaccine | 0.80564 |
| summer | 0.427532 |
| preteen vaccines | 0.727876 |
| Human papillomavirus | 0.546762 |
| meningococcal conjugate vaccine | 0.960059 |
| nurse | 0.425594 |
| spinal cord | 0.532021 |
| diphtheria | 0.429945 |
| illness | 0.424577 |
| HPV vaccine series | 0.798244 |
| preteens | 0.653271 |
| health insurance plans | 0.622352 |
| Quadrivalent meningococcal conjugate | 0.87255 |
| meningitis | 0.428058 |
| fainting | 0.430165 |
| brain | 0.424484 |
| medical procedure | 0.522341 |
| doctor | 0.453565 |
| whooping cough | 0.541031 |
| flu shot | 0.569277 |
| cancer | 0.425055 |
|
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CDC A-Z Index - Z |
CDC A-Z Index |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
|
|
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Centers for Disease Control and Prevention |
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Measuring health behaviors in populations |
null |
| health insurance providers | 0.438009 |
| data | 0.818986 |
| Risk Factor Surveillance | 0.504279 |
| National Health Nutrition | 0.467469 |
| health risk behaviors | 0.70702 |
| population health behaviors | 0.559648 |
| BRFSS data | 0.445671 |
| behavioral risk | 0.480346 |
| health behaviors | 0.935319 |
| sample size | 0.594403 |
| improved health outcomes | 0.449762 |
| health care access | 0.448224 |
| behavioral risk factors | 0.463622 |
| national health | 0.506111 |
| area surveillance data | 0.476059 |
| state health agencies | 0.454446 |
| data quality | 0.449151 |
| public health activities | 0.448485 |
| clinical preventive health | 0.44404 |
| Health Interview Survey | 0.46645 |
| data collection systems | 0.497908 |
| health care settings | 0.524794 |
| Behavioral Risk Factor | 0.465122 |
| telephone surveys | 0.551361 |
| Wisconsin County Health | 0.45713 |
|
| United States | 0.671358 |
| surveys | 0.677118 |
| sexual behaviors | 0.464327 |
| Multimode data collection | 0.442213 |
| critical health issues | 0.445584 |
| national health objectives | 0.462523 |
| surveillance systems | 0.679409 |
| behavioral surveillance surveys | 0.455082 |
| public health professionals | 0.448148 |
| physical examination data | 0.447604 |
| public health | 0.615359 |
| health care | 0.535111 |
| priority health-risk behaviors | 0.509443 |
| survey data | 0.443539 |
| public health need | 0.453663 |
| state-specific data | 0.443735 |
| data collection | 0.658374 |
| state health departments | 0.452323 |
| health surveys | 0.457623 |
| local level | 0.597945 |
| public health efforts | 0.446025 |
| health behavior data | 0.50951 |
| Public health campaigns | 0.47173 |
| Health Care Surveys | 0.487687 |
|
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Implementing the MOVE! weight-management program in the Veterans Health Administration, 2007-2010: a qualitative study |
One-third of US veterans receiving care at Veterans Health Administration (VHA) medical facilities are obese and, therefore, at higher risk for developing multiple chronic diseases. |
| resource availability | 0.691782 |
| program | 0.888295 |
| senior management support | 0.661835 |
| physician champion | 0.740844 |
| new program participants | 0.634858 |
| organizational factors | 0.677993 |
| service line chiefs | 0.664568 |
| facility chief nurse | 0.65394 |
| innovation champion | 0.714888 |
| evidence-based weight-management program | 0.72913 |
| interview participants | 0.884816 |
| medical center program | 0.64103 |
| holistic case study | 0.638986 |
| case study design | 0.642816 |
| Qualitative data analysis | 0.642498 |
| senior managers | 0.679688 |
| primary care physicians | 0.829389 |
| case study | 0.707047 |
| health care facilities | 0.679466 |
| different VHA facilities | 0.641143 |
| primary care service-line | 0.64296 |
| program implementation | 0.72786 |
| obesity screening rates | 0.810744 |
| innovation champions | 0.64698 |
| management support | 0.7172 |
|
| innovation implementation fosters | 0.672981 |
| service-line chief support | 0.639389 |
| case study research | 0.665436 |
| multidisciplinary weight-management program | 0.681552 |
| VHA medical facility | 0.663766 |
| health care | 0.698156 |
| VHA primary care | 0.650866 |
| innovation | 0.8316 |
| organizational readiness | 0.662825 |
| program activity | 0.654868 |
| weight-management program | 0.768434 |
| multidisciplinary team | 0.689375 |
| implementation | 0.941356 |
| VHA policy | 0.698987 |
| physical activity | 0.644247 |
| national program officials | 0.67334 |
| innovation implementation | 0.698704 |
| treatment options | 0.680348 |
| VHA facilities | 0.729625 |
| primary care | 0.995444 |
| Veterans Health Administration | 0.696845 |
| VHA medical facilities | 0.838252 |
| facilities | 0.934053 |
| facility | 0.886055 |
|
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Cancer Prevention Among Youth |
CDC's Division of Cancer Prevention and Control sponsored a supplemental issue of the Journal of Adolescent Health about ways to prevent cancer, with a focus on youth. |
| high school | 0.48101 |
| Biro FM | 0.446708 |
| Malarcher A. Pro-tobacco | 0.479168 |
| Journal | 0.543743 |
| intentional tanning | 0.440106 |
| -related cancer | 0.459882 |
| Southwell B. | 0.440312 |
| Deardorff J. Identifying | 0.482109 |
| Mahabir S. Association | 0.48253 |
| adolescent risk factors | 0.574662 |
| Rodriguez JL | 0.497118 |
| Dube SR | 0.443652 |
| Adolescent Health | 0.929643 |
| benign breast disease | 0.47635 |
| cervical cancer | 0.455657 |
| Arrazola RA | 0.441641 |
| Watson M. Correlates | 0.478195 |
| human papillomavirus | 0.508114 |
| adolescence | 0.446329 |
| Thomas TL | 0.440953 |
| human papillomavirus vaccine | 0.483663 |
| 5S | 0.685859 |
| multi-method pilot study | 0.475223 |
| White MC | 0.490503 |
| cancer prevention | 0.704455 |
|
| HPV vaccination | 0.442543 |
| social changes | 0.44921 |
| United States | 0.441033 |
| Edelstein ZR | 0.445412 |
| Fried LP | 0.441955 |
| Yang GJ | 0.440155 |
| Peskin MF | 0.441425 |
| Jackson JM | 0.440057 |
| Bushkin-Bedient S. Exposure | 0.478984 |
| different professions | 0.448419 |
| Adolescent risk-taking | 0.538416 |
| adolescent indoor tanning | 0.559115 |
| breast cancer | 0.457946 |
| supplemental issue | 0.448874 |
| unique opportunities | 0.449306 |
| Applegate KE | 0.441052 |
| systematic review | 0.440178 |
| certain exposures | 0.447122 |
| Holman DM | 0.4949 |
| cancer risk | 0.461601 |
| M. An opportunity | 0.440578 |
| Cost NG | 0.439942 |
| high school girls | 0.473143 |
| Santelli JS | 0.446163 |
|
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Notes from the Field: Acute Pesticide-Related IllnessResulting from Occupational Exposure to Acrolein - Washington andCalifornia, 1993-2009 |
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. | 0.702009 |
| moderate phlegm production | 0.767262 |
| Human Services | 0.753852 |
| assistive technology | 0.695664 |
| Washington State Dept | 0.765931 |
| California Dept | 0.736561 |
| U.S. Department | 0.752889 |
| MMWR HTML versions | 0.747895 |
| impaired water flow | 0.773963 |
| Geoffrey M. Calvert | 0.857713 |
| electronic PDF version | 0.748214 |
| eye irritation | 0.703677 |
| pesticide application equipment | 0.803453 |
| skin irritation | 0.704162 |
| additional cases | 0.835976 |
| personal protective equipment | 0.747455 |
| right-sided facial droop | 0.771351 |
| epinephrine administration | 0.69564 |
| Washington State Department | 0.898566 |
| Pesticide Regulation | 0.7914 |
| irritation district | 0.709115 |
| aquatic pesticide applicator | 0.805634 |
| grand mal seizure | 0.758383 |
| original paper copy | 0.741937 |
|
| thermal skin sensitivity | 0.756431 |
| acrolein tank | 0.707659 |
| lateral medullary syndrome | 0.762031 |
| acrolein-related illness | 0.948135 |
| irrigation canal | 0.725154 |
| pesticide applicators | 0.810292 |
| irrigation district | 0.801642 |
| western United States | 0.779581 |
| California Department | 0.707213 |
| ongoing medical conditions | 0.752202 |
| facial droop | 0.785047 |
| United States | 0.78019 |
| extremely irritating vapor | 0.749725 |
| original MMWR paper | 0.754242 |
| U.S. Government Printing | 0.74901 |
| acute acrolein-related illness | 0.920535 |
| irrigation districts | 0.780989 |
| label-required respiratory protection | 0.759913 |
| ventricular fibrillation | 0.780322 |
| subject line | 0.697029 |
| low severity illness | 0.773212 |
| irrigation canals | 0.799233 |
| acrolein-induced catecholamine release | 0.752378 |
| right facial droop | 0.77423 |
|
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Asthma - BRFSS 2008 - Table C6 Current Asthma Prevalence Rate (Percent) and Prevalence (Number) by Education and State or Territory |
BRFSS 2008 - Table C6 Current Asthma Prevalence Rate (Percent) and Prevalence (Number) by Education and State or Territory |
| Total** HS Grad | 0.772752 |
| U.S. Total** HS | 0.980941 |
|
| Total** HS Nongrad | 0.801342 |
|
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Measles | Transmission | CDC |
null |
| list Skip | 0.489815 |
| throat mucus | 0.385496 |
| infected surface | 0.477636 |
| true story | 0.31772 |
| page options Skip | 0.6986 |
| animal species | 0.309477 |
|
| navigation Skip | 0.49026 |
| infected person | 0.71697 |
| highly contagious virus | 0.59354 |
| Infected people | 0.449487 |
| measles | 0.950635 |
| measles virus | 0.815531 |
|
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Q&A’s about the Transport of Pediatric Patients (< 18years of age) Under Investigation or with Confirmed Ebola | EbolaHemorrhagic Fever | CDC |
null |
| CDC’s Waste | 0.623798 |
| group best-practice recommendations | 0.585995 |
| child restraint | 0.569156 |
| car seat | 0.836692 |
| durable medical equipment | 0.802274 |
| hospital-based transport teams | 0.69977 |
| PPE | 0.594361 |
| pediatric care | 0.573335 |
| agency’s car | 0.523824 |
| isolation transport units | 0.670099 |
| pediatric PUI | 0.721566 |
| pediatric transport | 0.910713 |
| appropriate CDC guidance | 0.601945 |
| waste management guidelines | 0.791863 |
| pediatric patients | 0.689674 |
| emergency medical services | 0.793669 |
| EMS agency | 0.670221 |
| Medical transport agencies | 0.691203 |
| ill child | 0.539961 |
| individual emergency | 0.528715 |
| standard ambulance cot | 0.598345 |
| medical equipment suppliers | 0.650822 |
| emergency ground ambulances | 0.591916 |
| Traffic Safety Administration | 0.578811 |
|
| medical services providers | 0.647673 |
| EMS transfer | 0.572233 |
| emergency medical technicians | 0.649367 |
| responder agencies | 0.523762 |
| personal protective equipment | 0.784734 |
| legal guardian | 0.615058 |
| law enforcement agencies | 0.651939 |
| safe pediatric transport | 0.751373 |
| EMS agencies | 0.770674 |
| EMS provider | 0.563452 |
| body fluids | 0.678782 |
| EMS units | 0.572323 |
| safe transport | 0.640874 |
| EMS systems | 0.599825 |
| Public Safety Answering | 0.624429 |
| transport vehicle | 0.562452 |
| decontamination team | 0.538756 |
| service agencies | 0.548261 |
| pediatric isolation transport | 0.895478 |
| advanced life support | 0.598222 |
| alternative adult caregiver | 0.667556 |
| equipment decontamination plan | 0.668355 |
| child | 0.712897 |
|
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The Why: Vaccinating Long-term Health Care Personnel |
The Why: Vaccinating Long-term Health Care Personnel - CDC |
| influenza season | 0.66031 |
| chronic medical conditions | 0.722035 |
| United States | 0.545881 |
| advocates | 0.432191 |
| necessary steps | 0.567756 |
| importance | 0.427063 |
| seasonal influenza vaccinations | 0.798829 |
| long-term care | 0.593134 |
| health threat | 0.583842 |
| LTC providers | 0.610601 |
| staff | 0.425557 |
| Practices Advisory Committee | 0.658228 |
|
| flu complications | 0.596005 |
| people | 0.447772 |
| Immunization Practices | 0.560246 |
| ACIP recommendations | 0.644745 |
| pages | 0.424408 |
| high risk | 0.575288 |
| KB | 0.440751 |
| residents | 0.425595 |
| health care personnel | 0.915581 |
| long-term health care | 0.688748 |
| facilities | 0.42798 |
|
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