| 5213 |
Centers for Disease Control and Prevention |
Html |
en |
Patient Cleansing - 2011 BSI Guidelines |
null |
|
|
CLICK HERE |
| 5231 |
Centers for Disease Control and Prevention |
Html |
en |
Influenza Antivirals Drug Interactions |
Available information for health care providers regarding clinical data on possible drug interactions with influenza antiviral drugs - CDC |
| randomized placebo-controlled trial | 0.560303 |
| glomerular filtration | 0.500072 |
| drug interactions | 0.918085 |
| similar pharmacokinetics | 0.516583 |
| Roche Laboratories Inc. | 0.600855 |
| regimen consisting | 0.4889 |
| influenza antiviral drugs | 0.617463 |
| Clin Pharmacokinet | 0.5783 |
| tubular secretion | 0.495701 |
| PLoS Med | 0.487623 |
| anionic pathway | 0.504259 |
| single oral dose | 0.581546 |
| clinical trials | 0.490271 |
| approximate twofold increase | 0.566754 |
| low potential | 0.482985 |
| Antiviral Therapy | 0.524733 |
| oseltamivir-zanamivir combination | 0.480167 |
| oseltamivir phosphate | 0.69004 |
| seasonal influenza | 0.491595 |
| different classes | 0.486917 |
| active metabolite Ro | 0.554299 |
| prodrug oseltamivir | 0.702756 |
| Englund JA | 0.488684 |
| animal study data | 0.580917 |
|
| oral doses | 0.513957 |
| package insert | 0.476744 |
| recent study | 0.486113 |
| plasma levels | 0.485005 |
| oral suspension | 0.499167 |
| immunocompromised patients | 0.49392 |
| Barnett JM | 0.486469 |
| Daniel MJ | 0.484051 |
| Pearson BA | 0.480948 |
| Limited clinical data | 0.581016 |
| influenza A infection | 0.491519 |
| van der Werf | 0.555119 |
| inhaled zanamivir | 0.563259 |
| Combination therapy | 0.478309 |
| oral oseltamivir | 0.848228 |
| oseltamivir carboxylate | 0.863921 |
| critical drug interactions | 0.631488 |
| P. Clinical pharmacokinetics | 0.577238 |
| healthy volunteers | 0.481526 |
| Nguyen JT | 0.485216 |
| package inserts | 0.482484 |
| potential drug interactions | 0.600566 |
| reduced clearance | 0.489034 |
| et al | 0.556296 |
|
CLICK HERE |
| 5433 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Building 24: Media Fact Sheet: June 20, 2011 |
Antimicrobial Resistance Posing Growing Health Threat |
| old Headquarters Building | 0.903908 |
| indirect employment | 0.716372 |
| Gross Square Feet | 0.949015 |
| Leadership | 0.565598 |
| Size | 0.539101 |
| positive economic impact | 0.878666 |
| new Headquarters Building | 0.908202 |
| Clifton Road | 0.752955 |
| Personnel | 0.536484 |
| tvsdesign | 0.534827 |
| U.S. Green Buildings | 0.871998 |
| Construction Duration | 0.744434 |
| summer | 0.617137 |
| Atlanta | 0.539371 |
| Occupancy | 0.560207 |
| local construction market | 0.889871 |
| Features | 0.539162 |
| Stories | 0.539044 |
| Office Space | 0.72937 |
|
| Environmental Impact | 0.7248 |
| Gold Level.LEED | 0.702825 |
| Sam Tarr | 0.72542 |
| campus | 0.539467 |
| American Recovery | 0.706469 |
| project manager. | 0.717066 |
| benchmark | 0.537594 |
| Energy Utilization Reduction | 0.918153 |
| Reinvestment Act | 0.732938 |
| Environmental Design Gold | 0.917933 |
| performance green buildings | 0.867587 |
| research support facility | 0.958016 |
| Design-Builder | 0.534931 |
| third-party certification program | 0.884078 |
| CDC’s Roybal | 0.821233 |
| Turner Construction Company | 0.917898 |
| Contract Value | 0.732932 |
| Snack Bar | 0.738237 |
|
CLICK HERE |
| 5973 |
Centers for Disease Control and Prevention |
Html |
en |
Zinc chloride fume - 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 |
| 6151 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Ticks in the Yard |
Information on ticks and tickborne disease. Provided by the U.S. Centers for Disease Control and Prevention. |
| pesticide application | 0.679029 |
| dry area | 0.608471 |
| recreational areas | 0.620022 |
| leaf litter | 0.631083 |
| mattresses | 0.442674 |
| rules | 0.438443 |
| rodents | 0.448161 |
| number | 0.442474 |
| old furniture | 0.616496 |
| MB | 0.444422 |
| state | 0.438171 |
| stray dogs | 0.625187 |
| Connecticut Agricultural Experiment | 0.823515 |
| patios | 0.452689 |
| agricultural officials | 0.637543 |
| comprehensive Tick Management | 0.998263 |
| trash | 0.442064 |
| gravel | 0.447834 |
| Station | 0.437264 |
| fences | 0.444081 |
| Environmental Protection Agency | 0.837847 |
| populations | 0.440483 |
| lawn | 0.439224 |
| 3-ft wide barrier | 0.810243 |
|
| acaricides | 0.479881 |
| infection | 0.446109 |
| yard edges | 0.705035 |
| residential properties | 0.638368 |
| professional pesticide company | 0.87165 |
| unwelcome animals | 0.652926 |
| grasses | 0.446285 |
| wood chips | 0.619753 |
| pesticides | 0.612199 |
| local health | 0.640076 |
| decks | 0.437744 |
| Stack wood | 0.618991 |
| playground equipment | 0.613053 |
| discourages | 0.473071 |
| acaricide | 0.438792 |
| tick bites | 0.807402 |
| ticks | 0.533288 |
| health concerns | 0.642509 |
| best time | 0.641808 |
| raccoons | 0.455573 |
| home | 0.437607 |
| regulations | 0.438409 |
| lawns | 0.503617 |
| risk | 0.444075 |
|
CLICK HERE |
| 8357 |
Centers for Disease Control and Prevention |
Html |
en |
Awareness of Prediabetes - United States, 2005-2010 |
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. |
| CDC-led National Diabetes | 0.473801 |
| health insurance | 0.516994 |
| modest weight loss | 0.785237 |
| U.S. civilian population | 0.470509 |
| different levels | 0.359103 |
| type | 0.469297 |
| self-reported diabetes | 0.430568 |
| high school education | 0.449225 |
| population subgroups | 0.35184 |
| moderate physical activity | 0.365191 |
| moderate-intensity physical activity | 0.485407 |
| modest lifestyle changes | 0.467722 |
| undiagnosed diabetes | 0.428905 |
| prediabetes awareness | 0.648279 |
| Nutrition Examination Survey | 0.353825 |
| hospital outpatient | 0.438114 |
| emergency department | 0.443328 |
| noninstitutionalized U.S. | 0.354987 |
| persons | 0.641524 |
| health-care plan | 0.366013 |
| high risk | 0.562153 |
| usual source | 0.564802 |
| fasting plasma glucose | 0.374495 |
| U.S. standard population | 0.353405 |
| glucose tolerance test | 0.357378 |
|
| United States | 0.358268 |
| sugar diabetes | 0.468803 |
| impaired glucose tolerance | 0.357441 |
| diabetes prevention strategies | 0.476472 |
| lifestyle changes | 0.612509 |
| diabetes prevalence | 0.404533 |
| dietary changes | 0.355143 |
| gestational diabetes | 0.411862 |
| Evidence-based lifestyle programs | 0.479857 |
| healthy lifestyle changes | 0.474925 |
| glucose tolerance | 0.502618 |
| borderline diabetes | 0.478846 |
| prediabetes | 0.964162 |
| examination response rates | 0.478031 |
| National Diabetes Education | 0.472056 |
| lifestyle-change programs | 0.421965 |
| U.S. adults | 0.515783 |
| physical activity | 0.687388 |
| good nutritional practices | 0.467243 |
| health-care access | 0.530537 |
| family history | 0.443296 |
| American Diabetes Association | 0.473952 |
| hemoglobin A1c | 0.360196 |
| diabetes | 0.965258 |
|
CLICK HERE |
| 11287 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Individual, Family, and Community Predictors of Overweight and Obesity Among Colombian Children and Adolescents - CDC |
Information from high-income countries is often used to design childhood obesity prevention interventions in low- and middle-income countries, even though determinants may differ greatly between settings. |
| predictors | 0.332393 |
| basic services | 0.282664 |
| BMI gap | 0.246092 |
| high-income countries | 0.689627 |
| Emory University | 0.27436 |
| Colombian children | 0.360597 |
| hierarchical linear models | 0.496441 |
| obesity prevention interventions | 0.249839 |
| municipality level | 0.766497 |
| park density | 0.399707 |
| nuclear family households | 0.289011 |
| children | 0.468442 |
| Colombian National Census | 0.286378 |
| BMI z scores | 0.473629 |
| total number | 0.263549 |
| overweight category | 0.24562 |
| overweight | 0.606757 |
| continuous dependent variable | 0.260643 |
| obesity | 0.42774 |
| public health | 0.315964 |
| family members | 0.338331 |
| middle-income countries | 0.317176 |
| Colombian National Nutrition | 0.38419 |
|
| World Health Organization | 0.281674 |
| mean BMI value | 0.314301 |
| adolescent overweight | 0.260215 |
| adolescents | 0.328424 |
| BMI z score | 0.959204 |
| body mass index | 0.487829 |
| household level | 0.576638 |
| extended family | 0.262797 |
| Gini coefficient | 0.261979 |
| underweight | 0.314009 |
| economically disadvantaged households | 0.242948 |
| physical activity | 0.381369 |
| individual level | 0.253306 |
| National Nutrition Survey | 0.266822 |
| income inequality | 0.349049 |
| urban households | 0.625205 |
| random-intercept fixed-slope model | 0.380573 |
| higher BMI | 0.271192 |
| childhood obesity | 0.270341 |
| family size | 0.356842 |
| wealth index | 0.356122 |
| information | 0.289985 |
| community predictors | 0.27986 |
|
CLICK HERE |
| 11965 |
Centers for Disease Control and Prevention |
Html |
en |
NIOSH NPPTL Clarification on the Purpose of Posting Standard Test Protocols |
Clarification on the Purpose of Posting Standard Test Protocols |
| Technology Laboratory | 0.44095 |
| NPPTL manufacturers meeting | 0.536376 |
| slides | 0.322933 |
| changes | 0.322591 |
| historical purposes | 0.460676 |
| navigation Skip | 0.555308 |
| point | 0.322144 |
| presentation | 0.337927 |
| result | 0.323944 |
| KB | 0.329724 |
| contact | 0.322123 |
| Issue Date | 0.451791 |
| various policy interpretations | 0.548345 |
| Posting Standard Test | 0.780076 |
| list Skip | 0.557425 |
| policy decisions | 0.429871 |
|
| STPs | 0.344788 |
| comments | 0.33876 |
| cases | 0.322805 |
| page options Skip | 0.684739 |
| Heinz W. Ahlers | 0.595961 |
| Clarification | 0.381024 |
| Standard Test Protocols | 0.904019 |
| National Personal Protective | 0.564715 |
| Technology Evaluation Branch | 0.524798 |
| Evaluation Branch | 0.561005 |
| regulation | 0.322282 |
| Karen Harvey | 0.432351 |
| STP update project | 0.553786 |
| Technical Evaluation Branch | 0.558513 |
| CDC/NIOSH/NPPTL website | 0.440733 |
|
CLICK HERE |
| 13908 |
Centers for Disease Control and Prevention |
Html |
en |
HEADS UP Online Training Courses | HEADS UP | CDC Injury Center |
null |
| online course | 0.617127 |
| proper concussion recognition | 0.853254 |
| education | 0.419844 |
| CDC Foundation | 0.544948 |
| health care provider | 0.643818 |
| Check | 0.421034 |
| playing field | 0.511753 |
| Concussion Starts | 0.793177 |
| interviews | 0.420268 |
| sports-related concussion | 0.788389 |
| Free CME | 0.51947 |
| season | 0.41835 |
| Learn appropriate diagnosis | 0.615663 |
| state | 0.43296 |
| health care professionals | 0.620745 |
| players | 0.418574 |
| impact | 0.41874 |
| Kids | 0.421021 |
| coaches | 0.437535 |
| symptoms | 0.423535 |
| concussion management | 0.769112 |
| concussion | 0.963296 |
| CNE | 0.429396 |
| coach | 0.422607 |
| support | 0.420535 |
|
| free robust online | 0.630839 |
| parents | 0.437496 |
| dynamic graphics | 0.521002 |
| case studies | 0.520842 |
| significant sequelae | 0.529279 |
| safe environment | 0.512599 |
| signs | 0.42355 |
| Clinicians | 0.422946 |
| health care | 0.765628 |
| optimal recovery | 0.520312 |
| quiz | 0.418497 |
| overview | 0.420175 |
| requirements | 0.41836 |
| HEADS | 0.424426 |
| National Football League | 0.619383 |
| NFHS | 0.432938 |
| young athletes | 0.760668 |
| High School Associations | 0.595398 |
| culture | 0.438652 |
| Teens | 0.418418 |
| high school sports | 0.590952 |
| CEU credits | 0.523177 |
| experts | 0.420248 |
| National Federation | 0.506536 |
|
CLICK HERE |
| 15985 |
Centers for Disease Control and Prevention |
Html |
null |
Fall 2014: CDC's #VaxWithMe Social Media Campaign |
Fall 2014: CDC's #VaxWithMe Social Media Campaign |
|
|
CLICK HERE |