| 4481 |
Centers for Disease Control and Prevention |
Html |
en |
CDC A-Z Index - Z |
CDC A-Z Index |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
|
|
CLICK HERE |
| 4652 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 5594 |
Centers for Disease Control and Prevention |
Html |
en |
Sulfuryl fluoride - 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 |
| 6485 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 8685 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 8835 |
Centers for Disease Control and Prevention |
Html |
en |
Notifiable Diseases and Mortality Tables - May 31, 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. |
| H. influenzae | 0.38509 |
| National Center | 0.301929 |
| cases | 0.377862 |
| CDC | 0.294349 |
| novel influenza | 0.641872 |
| Total case counts | 0.45721 |
| pandemic influenza | 0.948926 |
| ** Data | 0.348031 |
| Cumulative total E. | 0.475364 |
|
| measles case | 0.344225 |
| Influenza Division | 0.440253 |
| 2009 pandemic | 0.76539 |
| probable cases | 0.327103 |
| Respiratory Diseases | 0.308257 |
| rubella cases | 0.309464 |
| human infection | 0.329695 |
| influenza A virus | 0.474686 |
|
CLICK HERE |
| 10581 |
Centers for Disease Control and Prevention |
Html |
en |
Geographic Distribution | Chikungunya virus | CDC |
Information on Chikungunya virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| chikungunya virus outbreaks | 0.911161 |
| mosquitoes | 0.369213 |
| area | 0.340771 |
| Caribbean countries | 0.529887 |
| Americas | 0.426393 |
| cases | 0.338871 |
| United States | 0.519116 |
| Health website | 0.50374 |
| Europe | 0.345797 |
| Africa | 0.345944 |
| Click | 0.34569 |
|
| Pan American Health | 0.707311 |
| CDC’s Traveler | 0.54331 |
| people | 0.340365 |
| local transmission | 0.820206 |
| Updated data | 0.521276 |
| territories | 0.43567 |
| Asia | 0.34587 |
| current outbreaks | 0.564344 |
| Pacific Oceans | 0.579546 |
| information | 0.366993 |
|
CLICK HERE |
| 12428 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 12869 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Diet Quality and History of Gestational Diabetes Mellitus Among Childbearing Women, United States, 2007"2010 - 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. |
| total HEI-2010 diet | 0.478316 |
| dietary guidelines | 0.487935 |
| component diet quality | 0.527397 |
| diet quality score | 0.607412 |
| type | 0.472232 |
| chronic disease risk | 0.471897 |
| GDM | 0.753096 |
| previous borderline GDM | 0.559862 |
| overall diet quality | 0.776915 |
| Disease Control | 0.473614 |
| overall average diet | 0.471683 |
| smoking status | 0.481597 |
| Introduction
Women | 0.467607 |
| Nutrition Examination Survey | 0.514974 |
| national health | 0.492312 |
| history | 0.630027 |
| gestational diabetes mellitus | 0.592789 |
| total HEI-2010 score | 0.474853 |
| childbearing women | 0.489815 |
| GDM diagnosis | 0.533982 |
| linear regression models | 0.506958 |
| total diet quality | 0.492787 |
| women | 0.740171 |
| high school graduate | 0.466918 |
|
| United States | 0.5296 |
| poorer diet quality | 0.494736 |
| maternal diet quality | 0.484369 |
| GDM data | 0.535315 |
| lower diet quality | 0.504048 |
| sugar diabetes | 0.483849 |
| Healthy Eating Index | 0.475926 |
| recent live infant | 0.479031 |
| average diet quality | 0.505455 |
| recent gestational diabetes | 0.479796 |
| Massachusetts Medical School | 0.526025 |
| borderline diabetes | 0.482732 |
| Diabetes Care | 0.478153 |
| health | 0.521304 |
| HEI-2010 diet quality | 0.519662 |
| poor diet quality | 0.574225 |
| 24-hour dietary recall | 0.47941 |
| physical activity | 0.472994 |
| current diet quality | 0.502472 |
| MyPyramid Equivalents Database | 0.467061 |
| diet quality | 0.943228 |
| American Diabetes Association | 0.480915 |
| diabetes | 0.612957 |
| good-quality overall diet | 0.474945 |
|
CLICK HERE |
| 15963 |
Centers for Disease Control and Prevention |
Html |
en |
Zika Virus Infection and Microcephaly |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| Zika Virus Infection | 0.969937 |
|
|
CLICK HERE |