| 5231 |
Centers for Disease Control and Prevention |
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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 |
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| 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 |
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Centers for Disease Control and Prevention |
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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 |
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Centers for Disease Control and Prevention |
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Diethyl phthalate - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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Centers for Disease Control and Prevention |
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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 |
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Centers for Disease Control and Prevention |
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CDC study shows suicidal thoughts and behavior vary among U.S. adults - Press Release: October 20, 2011 |
CDC study shows suicidal thoughts and behavior vary among U.S. adults |
| United States. | 0.568387 |
| suicide-related thoughts | 0.566402 |
| public health policies | 0.615262 |
| evidence-based prevention interventions | 0.621066 |
| Disease Control | 0.573314 |
| visit http://www2.sprc.org/bpr/section-i-evidence-based-programs | 0.562654 |
| suicide planning | 0.737837 |
| suicide attempt | 0.749254 |
| risk factors | 0.560832 |
| Injury Prevention | 0.570398 |
| suicide | 0.976116 |
| current report | 0.566279 |
| suicidal behavior | 0.576805 |
| National Suicide Prevention | 0.817042 |
| adverse health consequences. | 0.611807 |
| new data | 0.566496 |
| young adults | 0.57799 |
| Linda C. Degutis | 0.610298 |
| prevention strategies | 0.604765 |
| nonfatal behavior | 0.566799 |
| prevention purposes | 0.567587 |
| suicide attempts.In | 0.719495 |
| United States | 0.573966 |
| adults | 0.618969 |
| CDC′s National Center | 0.613423 |
|
| National Survey | 0.568484 |
| Substance Abuse | 0.564633 |
| suicide risk | 0.723243 |
| percent | 0.657918 |
| public education campaigns | 0.60679 |
| Suicide Prevention Lifeline | 0.822192 |
| suicide visit Reporting | 0.776022 |
| Rocky Mountain states | 0.613467 |
| Rhode Island | 0.699353 |
| Thomas M. Frieden | 0.628281 |
| Possible suicide prevention | 0.780516 |
| Suicide rates | 0.734675 |
| Prevention Lifeline Web | 0.617856 |
| suicide range | 0.771682 |
| SAMHSA Administrator Pam | 0.626587 |
| cognitive-behavioral therapy | 0.608113 |
| suicide plans | 0.795911 |
| people | 0.561088 |
| suicidal thoughts | 0.70351 |
| public health problem | 0.627846 |
| Mental Health Services | 0.627165 |
| preventable tragedy | 0.567694 |
| Western states | 0.563609 |
| suicide attempts | 0.808586 |
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Implementación del programa de control de peso ¡MUÉVETE! en la Administración de Salud de Veteranos, 2007-2010: Un estudio cualitativo |
CDC - Wide Page example description goes here |
| weight-management program | 0.764636 |
| múltiples enfermedades | 0.727435 |
| alto riesgo | 0.728136 |
| qualitative study | 0.841298 |
| Kahwati LC | 0.789596 |
|
| Chronic Dis | 0.797559 |
| Veterans Health Administration | 0.972732 |
| Haynes-Maslow L | 0.77099 |
| Kinsinger LS | 0.827915 |
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Centers for Disease Control and Prevention |
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Study of Flu Related Deaths in Children Shows Even Healthy Children at Risk |
This CDC spotlight article summarizes key findings and public health recommmendations related to a CDC study on flu-related deaths in children. |
| seasonal flu vaccination | 0.76324 |
| overall message | 0.519011 |
| CDC study | 0.563692 |
| H1N1 pandemic virus | 0.618396 |
| children | 0.988986 |
| tragic impact | 0.544754 |
| U.S. children | 0.563371 |
| flu vaccination | 0.773862 |
| high risk condition | 0.608467 |
| healthy children | 0.808154 |
| CDC’s recommendation | 0.549055 |
| results | 0.449929 |
| addition | 0.448149 |
| journal Pediatrics | 0.544392 |
| flu illness | 0.637632 |
| flu antiviral drugs | 0.746808 |
| study period | 0.530841 |
| prompt medical care | 0.61847 |
| emergency department | 0.525737 |
| bacterial co-infections | 0.633276 |
| medical conditions | 0.515793 |
| high risk | 0.690846 |
| parents | 0.441456 |
| flu symptoms | 0.633675 |
| hospital admission | 0.517261 |
|
| study | 0.574656 |
| 2011-2012 seasons | 0.509361 |
| United States | 0.65236 |
| Staph infections | 0.520814 |
| Pediatrics website | 0.517412 |
| flu-related deaths | 0.767142 |
| flu complications | 0.643157 |
| CDC’s recommendations | 0.528214 |
| course | 0.425469 |
| one-third | 0.437433 |
| high-risk condition | 0.523451 |
| flu seasons | 0.670965 |
| underlying health conditions | 0.63648 |
| adherence | 0.424691 |
| flu disease | 0.680041 |
| flu | 0.919586 |
| home | 0.422808 |
| risk medical condition | 0.599435 |
| antiviral treatment | 0.615114 |
| Influenza-Associated Pediatric Deaths | 0.915783 |
| fewest deaths | 0.59817 |
| Nearly half | 0.510068 |
| 2011-12 season | 0.515358 |
| severe illness | 0.513892 |
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Centers for Disease Control and Prevention |
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International Road Safety (300W x 496H) |
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Centers for Disease Control and Prevention |
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First-of-its-Kind PSA Campaign Targets the 86 Million American Adults with Prediabetes | CDC Online Newsroom |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| normal blood glucose | 0.257882 |
| radio PSAs | 0.200168 |
| people’s naivety | 0.204738 |
| American Medical Association | 0.68532 |
| Mather New York | 0.294068 |
| necessary lifestyle changes | 0.382957 |
| type | 0.220938 |
| National Diabetes Prevention | 0.412053 |
| risk test | 0.296542 |
| American public | 0.203056 |
| Disease Control | 0.262897 |
| Cannes Lions Network | 0.228088 |
| PSA campaign | 0.20514 |
| O&M services Fortune | 0.227721 |
| prediabetes tests | 0.211996 |
| health care providers | 0.256226 |
| U.S. health protection | 0.246794 |
| health care | 0.32672 |
| New York | 0.335973 |
| prevention program | 0.258039 |
| premier national organization | 0.23891 |
| health care communications | 0.249774 |
| saving lives | 0.239582 |
|
| industry leading units | 0.231942 |
| prediabetes | 0.287542 |
| largest marketing communications | 0.238082 |
| pressing social issues | 0.231922 |
| Mather Advertising New | 0.27295 |
| tremendous positive change | 0.234006 |
| people | 0.313438 |
| public service campaigns | 0.236551 |
| lifestyle tips | 0.240503 |
| CDC’s Division | 0.203697 |
| Ad Council | 0.855107 |
| Diabetes Translation Research | 0.406851 |
| Ogilvy | 0.258074 |
| health condition | 0.207428 |
| Chief Creative Officer | 0.233009 |
| Humorous PSAs | 0.200572 |
| public service advertising | 0.277211 |
| American Diabetes Association | 0.926095 |
| first-of-its-kind communications techniques | 0.266649 |
| CDC Media Relations | 0.262725 |
| AMA President-Elect Andrew | 0.255575 |
| Association funds research | 0.265448 |
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How to Conduct Store Observations of Tobacco Marketing and Products |
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. |
| store observation instrument | 0.253498 |
| North Carolina | 0.251191 |
| tobacco cravings | 0.273212 |
| data collectors | 0.757745 |
| store observation data | 0.547612 |
| tobacco control groups | 0.377039 |
| public health practitioners | 0.274787 |
| observation data collectors | 0.28242 |
| youth tobacco | 0.255494 |
| tobacco retail environment | 0.330437 |
| store observation | 0.567999 |
| simulated store observations | 0.263631 |
| tobacco | 0.699638 |
| Tobacco Assessment | 0.255073 |
| comprehensive tobacco control | 0.285468 |
| tobacco store lists | 0.413403 |
| store observation measures | 0.2665 |
| tobacco industry | 0.30105 |
| tobacco products | 0.674668 |
| data quality | 0.245858 |
| California Tobacco Control | 0.284899 |
| POS store observations | 0.307797 |
| tobacco marketing materials | 0.283949 |
| tobacco control staff | 0.332367 |
| store observations | 0.910079 |
|
| ground truthing | 0.2584 |
| electronic data collection | 0.321374 |
| menthol tobacco products | 0.314351 |
| tobacco stores | 0.526215 |
| tobacco product retailer | 0.313547 |
| tobacco marketing | 0.356934 |
| National Cancer Institute | 0.249494 |
| tobacco store observations | 0.540004 |
| public health | 0.315062 |
| geographic area | 0.280916 |
| tobacco retailers | 0.257982 |
| Store observation projects | 0.261001 |
| training data collectors | 0.31031 |
| price data | 0.242387 |
| tobacco control program | 0.325136 |
| data collection | 0.511152 |
| tobacco companies | 0.299249 |
| business lists | 0.287142 |
| smokeless tobacco | 0.272972 |
| Community Tobacco Control | 0.368166 |
| store observation questions | 0.261762 |
| tobacco control interventions | 0.320532 |
| Tobacco Control Initiative | 0.355698 |
| tobacco control | 0.507722 |
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