| 4564 |
Centers for Disease Control and Prevention |
Html |
en |
Quick Facts for Clinicians on Antiviral Treatments for 2009 H1N1 |
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| Clinical Infectious Diseases | 0.590378 |
| Apr | 0.42111 |
| rapid test | 0.505256 |
| adult oseltamivir capsules | 0.666512 |
| Harper SA | 0.502584 |
| influenza illness onset | 0.701433 |
| children | 0.453263 |
| medications | 0.42073 |
| Seasonal influenza | 0.531633 |
| treatment decisions | 0.519463 |
| institutional outbreak management | 0.594078 |
| Infectious Diseases Society | 0.592103 |
| zanamavir | 0.419854 |
| risk factors | 0.916296 |
| Additional information | 0.50412 |
| antiviral medication | 0.592882 |
| accurate testing results | 0.590933 |
| Moderately ill patients | 0.615793 |
| short supply | 0.505962 |
| benefit | 0.431232 |
| key facts | 0.520712 |
| Pharmacies | 0.420381 |
| clinical practice guidelines | 0.591902 |
| tests | 0.418426 |
| PM ET | 0.532074 |
|
| severe disease | 0.524193 |
| ample supplies | 0.510906 |
| illness onset | 0.756159 |
| earlier antiviral treatment | 0.681772 |
| United States | 0.528486 |
| false negative results | 0.591527 |
| 2009-2010 flu season | 0.640452 |
| adults | 0.438263 |
| children-diagnosis | 0.418303 |
| studies | 0.42044 |
| neuraminidase inhibitors | 0.514935 |
| misconceptions | 0.424286 |
| Clinical judgment | 0.509747 |
| syrup | 0.42001 |
| ill infants | 0.505219 |
| H1N1 | 0.46226 |
| people | 0.419388 |
| compounding | 0.419396 |
| antiviral treatment | 0.854178 |
| Outpatients | 0.427195 |
| neuraminidase inhibitor-either oseltamavir | 0.608665 |
| pediatric oseltamivir suspension | 0.662649 |
| rapid influenza | 0.532335 |
| influenza antivirals | 0.559047 |
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Centers for Disease Control and Prevention |
Html |
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Rosin core solder, pyrolysis products (as formaldehyde) - NIOSH Pocket Guide to Chemical Hazards |
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| 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 |
|
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| 6470 |
Centers for Disease Control and Prevention |
Html |
en |
Effectiveness of the Pasos Adelante Chronic Disease Prevention and Control Program in a US-Mexico border community, 2005-2008 |
This study examined whether Pasos Adelante participants living in a US border community showed improvements in selected physiological measures after participating in the program and whether changes were maintained at 3-month follow-up. |
| self-reported physical activity | 0.490714 |
| mean baseline age | 0.464194 |
| Pasos Adelante | 0.932539 |
| 3-month follow-up assessments | 0.508607 |
| glucose levels | 0.467714 |
| systolic blood pressure | 0.570836 |
| lifestyle intervention program | 0.511578 |
| total cholesterol | 0.467177 |
| promotores-facilitated chronic disease | 0.483295 |
| Su Vida curriculum | 0.480705 |
| diastolic blood pressure | 0.457286 |
| demographic variables | 0.472475 |
| 12-week promotora-facilitated program | 0.467061 |
| 12-week Pasos Adelante | 0.542037 |
| blood pressure | 0.614877 |
| Mexican Americans | 0.481125 |
| risk factors | 0.480457 |
| secondary prevention | 0.466928 |
| objective measures | 0.477575 |
| body mass index | 0.485451 |
| baseline | 0.496925 |
| Introduction
Pasos Adelante | 0.54936 |
| US-Mexico border community | 0.490774 |
| select physiological measures | 0.480549 |
| community health workers | 0.539975 |
|
| anthropometric measures | 0.578375 |
| physiological measures | 0.563131 |
| hip circumference | 0.467388 |
| chronic disease prevention | 0.61378 |
| Public Health | 0.460451 |
| Pasos Adelante participants | 0.625867 |
| fasting blood draw | 0.476971 |
| Pasos Adelante program | 0.766346 |
| program conclusion | 0.494387 |
| conclusion | 0.52022 |
| control program | 0.461894 |
| Diabetes Prevention Program | 0.490388 |
| Research Centers Program | 0.462483 |
| blood measures | 0.463256 |
| non-Hispanic whites | 0.490049 |
| Su Corazón | 0.472575 |
| selected physiological measures | 0.487446 |
| Pasos Adelante curriculum | 0.52543 |
| 3-month follow-up | 0.61826 |
| Baseline measures | 0.479318 |
| physical activity | 0.630733 |
| blood pressure measures | 0.487017 |
| evidence-based program | 0.46773 |
| Pasos Adelante classes | 0.529965 |
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| 8209 |
Centers for Disease Control and Prevention |
Html |
en |
Hemophilia - NCBDDD |
Hemophilia is an inherited bleeding disorder in which the blood does not clot properly. The mission of CDC’s Division of Blood Disorders is to reduce the morbidity and mortality from blood disorders through comprehensive public health practice. |
| hemophilia | 0.905972 |
| blood disorders | 0.468177 |
| inhibitors | 0.350037 |
| evidence-based information | 0.493981 |
| collaborations | 0.341608 |
| bleeding disorder | 0.536742 |
| new research | 0.475256 |
| New Study Shows | 0.704704 |
| Inhibitor Development | 0.556945 |
| partnerships | 0.337518 |
| Regular Treatment | 0.528172 |
| Key Findings | 0.74541 |
| factor | 0.340382 |
| innovative approaches | 0.486167 |
|
| antibody | 0.346655 |
| Joint Disease | 0.526934 |
| lives | 0.335504 |
| bleeds | 0.364099 |
| Antibodies Linked | 0.523048 |
| New Method Designed | 0.672165 |
| national project | 0.49344 |
| people | 0.436823 |
| Type | 0.336885 |
| interventions | 0.343298 |
| series | 0.368628 |
| activities | 0.335384 |
| Life | 0.340003 |
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| 10839 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Global Health - Polio - Updates on CDC's Polio Eradication Efforts - May 9, 2014 |
Polio is a crippling and potentially deadly infectious disease caused by a virus that spreads from person to person invading the brain and spinal cord and causing paralysis. CDC is a strategic partner in the overall effort to eradicate polio worldwide. |
| global polio eradication | 0.872012 |
| Large-scale polio vaccination | 0.49855 |
| GPEI partners | 0.363402 |
| polio eradication plans | 0.568863 |
| polio eradication | 0.98824 |
| Polio incidence | 0.473959 |
| polio outbreaks | 0.488626 |
| public health volunteers | 0.361641 |
| Polio Eradication Effort | 0.608223 |
| wild poliovirus | 0.382664 |
| vaccination campaign planning | 0.367248 |
| CDC’s Emergency | 0.383092 |
| United Nations Children | 0.36292 |
| AFP cases | 0.3566 |
| polio eradication activities | 0.6387 |
| final push | 0.364253 |
| CDC Director Thomas | 0.41407 |
| Melinda Gates Foundation | 0.361078 |
| CDC resources | 0.376872 |
| polio worldwide | 0.492997 |
| Independent Monitoring Board | 0.358163 |
| EOC operational structure | 0.390567 |
| polio vaccination campaigns | 0.563815 |
| CDC’s engagement | 0.372806 |
|
| global polio surveillance | 0.511116 |
| entire CDC community | 0.405241 |
| Polio Eradication Initiative | 0.603012 |
| World Health Organization | 0.420149 |
| outbreak response protocols | 0.357155 |
| timely technical expertise | 0.362136 |
| polio eradication progress | 0.564893 |
| polio cases | 0.517711 |
| in-country technical expertise | 0.361539 |
| Democratic Republic | 0.361185 |
| CDC’s EOC | 0.404358 |
| polio vaccination campaign | 0.511545 |
| countries | 0.368505 |
| CDC’s polio | 0.530518 |
| Epidemiologic Record/CDC Morbidity | 0.359924 |
| enhanced capacity | 0.362426 |
| CDC polio eradication | 0.677872 |
| polio surveillance | 0.555982 |
| technical expertise | 0.36533 |
| finish line | 0.360402 |
| Dr. Frieden | 0.372305 |
| endemic countries | 0.362562 |
| polio eradication efforts | 0.628913 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | A Self-Management Intervention for African Americans With Comorbid Diabetes and Hypertension: A Pilot Randomized Controlled Trial - CDC |
The objective of this pilot 6-month randomized controlled trial was to determine the effectiveness of an intensive, community-based, group intervention that focused on diet, physical activity, and peer support for reducing weight among urban-dwelling African Americans with comorbid type 2 diabetes and hypertension. |
| comorbid diabetes | 0.744018 |
| LIFE treatment group | 0.664296 |
| behavioral skills training | 0.651816 |
| control group | 0.805333 |
| nutrition knowledge | 0.730727 |
| nutrition education | 0.713296 |
| nutrition knowledge questionnaire | 0.702808 |
| telephone calls | 0.656235 |
| diabetes self-management | 0.874017 |
| Block Food Frequency | 0.648504 |
| blood pressure | 0.769644 |
| diabetes self-management program | 0.67055 |
| control participants | 0.750782 |
| weight loss | 0.738138 |
| University Medical Center | 0.686157 |
| diabetes self-management training | 0.733044 |
| Diabetes self-management behavior | 0.697256 |
| diabetes self-management behaviors | 0.676318 |
| diabetes self-management intervention | 0.711203 |
| culturally tailored nutrition | 0.665998 |
| LIFE group | 0.804834 |
| diabetes control | 0.646108 |
| Food Frequency Questionnaire | 0.653873 |
| short-term diabetes education | 0.682328 |
|
| community health worker | 0.677552 |
| African Americans | 0.904875 |
| self-care activities measure | 0.695884 |
| diabetes self-management education | 0.75778 |
| group-based diabetes self-management | 0.699284 |
| physical activity questionnaire | 0.701998 |
| diabetes care | 0.793954 |
| diabetes patients | 0.658798 |
| African American diabetes | 0.666056 |
| clinically significant reduction | 0.669464 |
| small sample size | 0.648395 |
| HbA1c | 0.660674 |
| participants | 0.765298 |
| African American women | 0.655838 |
| problem-solving-based diabetes self-management | 0.668759 |
| LIFE intervention | 0.706561 |
| LIFE intervention group | 0.661998 |
| LIFE participants | 0.723411 |
| diabetes complications | 0.681589 |
| physical activity | 0.9686 |
| randomized controlled trial | 0.669848 |
| diabetes self-care activities | 0.779808 |
| et al | 0.674745 |
| American Diabetes Association | 0.693514 |
|
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Centers for Disease Control and Prevention |
Html |
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CDC Telebriefing - 2013 National Youth Risk Behavior Survey results | Transcript | CDC Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| kim painter | 0.379701 |
| Preventable risk behaviors | 0.355977 |
| local education health | 0.319661 |
| high school kids | 0.415636 |
| health risk behaviors | 0.739309 |
| operator | 0.352743 |
| Risk Behavior Survey | 0.425777 |
| llelwyn grant | 0.768319 |
| newly changed question | 0.340545 |
| TV screen time | 0.332888 |
| Youth Risk Behavior | 0.50296 |
| school property | 0.327703 |
| public health risk | 0.341483 |
| risky behaviors | 0.337652 |
| physical fighting | 0.375875 |
| school students grades | 0.374179 |
| mike estrel | 0.328487 |
| non-school related school | 0.318279 |
| Director Tom Frieden | 0.382324 |
| National Youth Risk | 0.421781 |
| youth risk behaviors. | 0.325487 |
| tom frieden | 0.821334 |
| mike stobbe | 0.337619 |
| fighting. Dr. Zaza | 0.397329 |
| fewer high school | 0.34478 |
|
| school health policies | 0.351536 |
| U.S. high school | 0.348665 |
| excessive screen time | 0.340275 |
| unhealthy dietary behaviors | 0.333847 |
| physical fighting question | 0.358124 |
| end. Dr. Zaza | 0.390283 |
| large urban school | 0.331053 |
| stephanie zaza | 0.948396 |
| touch tone phone | 0.400423 |
| Dr. Zaza | 0.723116 |
| young people | 0.349358 |
| percent | 0.439111 |
| important health risk | 0.346565 |
| public health professionals | 0.32113 |
| public health | 0.400579 |
| screen time thing. | 0.329523 |
| question | 0.525124 |
| Dr. Stephanie Zaza | 0.517891 |
| high school students | 0.956183 |
| physical fight | 0.377277 |
| david beasley | 0.370873 |
| risk health behaviors | 0.371422 |
| screen time | 0.52198 |
| Dr. Frieden | 0.493576 |
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| 12609 |
Centers for Disease Control and Prevention |
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Video: CDC Responds to Nodding Disease in Uganda |
A team of CDC experts joined the Ministry of Health and of government, nonprofit, and health officials in Uganda to conduct a multifaceted investigation in Kitgum District, northern Uganda. Listen as Epidemic Intelligence Service Officer, Dr. Jennifer Foltz, tells the story about Nodding Disease, a neurologic syndrome which is devastating to afflicted children.
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/nodding/nodding.htm |
| Nodding Disease | 0.833329 |
| CDC Responds | 0.971575 |
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Centers for Disease Control and Prevention |
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Update on Vaccine-Derived Polioviruses - Worldwide, January2014-March 2015 |
Ousmane M. Diop, PhD1; Cara C. Burns, PhD2; Roland W. |
| VP1 nucleotide substitutions | 0.723628 |
| sewage samples | 0.726617 |
| OPV sequence divergence | 0.66063 |
| recent positive sample | 0.641112 |
| oral poliovirus vaccine | 0.616116 |
| independent cVDPV2 emergences | 0.660216 |
| independent cVDPV2 emergence | 0.626945 |
| Global AFP surveillance | 0.638731 |
| VP1 region | 0.659157 |
| sequence divergence | 0.674289 |
| Polio Laboratory Network | 0.803201 |
| Olen M. Kew | 0.659291 |
| type | 0.630009 |
| VP1 substitutions | 0.758973 |
| AFP patients | 0.758032 |
| parental OPV strain | 0.669936 |
| North Waziristan Agency | 0.639982 |
| cVDPV outbreaks | 0.640772 |
| divergent environmental VDPVs | 0.62288 |
| OPV | 0.751636 |
| reporting period | 0.7639 |
| VP1 nucleotide positions | 0.702415 |
| Global Polio Eradication | 0.618824 |
| sensitive AFP surveillance | 0.628457 |
|
| Wild poliovirus type | 0.628361 |
| iVDPV infections | 0.717869 |
| World Health Organization | 0.713329 |
| VDPVs | 0.644889 |
| South Sudan | 0.727515 |
| cVDPV2 outbreaks | 0.651518 |
| new cVDPV outbreaks | 0.630084 |
| United Kingdom | 0.630433 |
| OPV dose | 0.64062 |
| indigenous cVDPV2 outbreaks | 0.627938 |
| common variable immunodeficiency | 0.65718 |
| severe combined immunodeficiency | 0.744966 |
| new iVDPV infections | 0.671229 |
| VP1 divergence | 0.96049 |
| low OPV coverage | 0.627132 |
| chronic iVDPV infections | 0.637485 |
| AFP patient | 0.638048 |
| VP1 sequences | 0.682542 |
| Global Polio Laboratory | 0.799698 |
| Regional Office | 0.650006 |
| VP1 positions | 0.651031 |
| small number | 0.618579 |
| recent onset date | 0.642963 |
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Centers for Disease Control and Prevention |
Html |
en |
Food Safety Smarts |
Use these tools and tips to help prevent food poisoning. |
| foodborne diseases | 0.610637 |
| Separate raw meat | 0.631893 |
| hands | 0.526764 |
| people age | 0.583934 |
| food thermometer | 0.581983 |
| sickness | 0.56328 |
| pregnant women | 0.640591 |
| immune systems | 0.752362 |
| harmful bacteria | 0.574854 |
| shopping cart | 0.572473 |
| dehydration | 0.517739 |
| vomiting | 0.515363 |
| dialysis | 0.514643 |
| germs | 0.686589 |
| right internal temperature | 0.631526 |
| diarrhea | 0.537437 |
| nausea | 0.515995 |
| foodborne illness | 0.775129 |
| O157 infection | 0.589168 |
| utensils | 0.5145 |
| Listeria infection | 0.672297 |
| refrigerator | 0.532655 |
| Young children | 0.580101 |
| harmful germs | 0.630524 |
| upset stomach | 0.579757 |
|
| kidney failure | 0.579079 |
| body’s ability | 0.662603 |
| certain groups | 0.64722 |
| leftovers | 0.518406 |
| meal preparation area | 0.633727 |
| ready-to-eat foods | 0.5757 |
| times | 0.546681 |
| high-risk groups | 0.576342 |
| variety | 0.51502 |
| strikes | 0.515262 |
| lab-confirmed foodborne illness | 0.667131 |
| E. coli | 0.664339 |
| food poisoning | 0.913948 |
| Campylobacter | 0.51705 |
| fight germs | 0.626177 |
| higher risk | 0.577782 |
| people | 0.728371 |
| Older adults | 0.577668 |
| Anybody | 0.518766 |
| higher chance | 0.581291 |
| doctor | 0.514405 |
| certain germs | 0.625737 |
| Nearly half | 0.57646 |
| Salmonella infection | 0.594667 |
|
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