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Centers for Disease Control and Prevention |
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Science Clips - Monday, February 14, 2011 |
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| Antimicrob Agents Chemother. | 0.767711 |
| 6-year lifestyle intervention | 0.769847 |
| modeling total survey | 0.771206 |
| Extensively drug-resistant TB | 0.768793 |
| diabetes-related microvascular complications | 0.77522 |
| Regul Toxicol Pharmacol. | 0.768695 |
| CDC Science Clips | 0.883577 |
| Ko AI | 0.767429 |
| Der Walt ML | 0.772869 |
| pneumococcal conjugate vaccine | 0.772157 |
| Hypochlorite solution expiration | 0.770501 |
| Chief Science Officer | 0.782721 |
| pandemic influenza vaccine | 0.775256 |
| Vaccine Adverse Event | 0.770982 |
| low tuberculosis incidence | 0.774431 |
| primary care physicians | 0.770823 |
| antiepileptic drug effects | 0.778027 |
| rapid influenza testing | 0.776786 |
| Prevention Outcome Study | 0.790625 |
| Environ Health Perspect. | 0.783237 |
| Stephen B. Thacker | 0.843049 |
| cumulative spinal load | 0.817458 |
| Kenyan healthcare workers | 0.768677 |
| fatality review data | 0.767641 |
| population-based cohort study | 0.779083 |
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| probable opioid misuse | 0.776152 |
| adult influenza vaccination | 0.775669 |
| immigration medical screening | 0.772593 |
| BMC Infect Dis. | 0.769152 |
| Dos Santos MS | 0.767226 |
| impaired glucose tolerance | 0.769831 |
| drug susceptibility testing | 0.77275 |
| second-line drug resistance | 0.770572 |
| unintentional injury deaths | 0.774348 |
| Dasch GA | 0.766697 |
| Acquir Immune Defic | 0.825824 |
| Blood lead levels | 0.768484 |
| National Immunization Survey | 0.771199 |
| Feb | 0.943662 |
| Immune Defic Syndr. | 0.825816 |
| public health literature | 0.775488 |
| van Bemmel DM | 0.772305 |
| B. Thacker CDC | 0.871807 |
| Inj Prev. | 0.88963 |
| chronic opioid therapy | 0.7794 |
| Human posture simulation | 0.825835 |
| Health Serv Res. | 0.782164 |
| Sullivan MD | 0.791209 |
| Thacker CDC Library | 0.871796 |
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Use of indoor tanning devices by high school students in the United States, 2009. |
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| skin cancer risk | 0.347007 |
| computer-scannable questionnaire booklet | 0.342831 |
| baseline data | 0.354079 |
| white students | 0.350283 |
| newly enacted tax | 0.342847 |
| 98-item self-administered questionnaire | 0.34382 |
| weighted data | 0.365157 |
| complex survey design | 0.350042 |
| student response rate | 0.344147 |
| overall response rate | 0.342809 |
| Risk Behavior Survey | 0.398209 |
| Disease Control | 0.363212 |
| Gery P. Guy | 0.373194 |
| indoor UV tanning | 0.43631 |
| commonly diagnosed cancers | 0.344788 |
| skin tanning | 0.407221 |
| excise tax | 0.397488 |
| survey data commands | 0.35542 |
| indoor tanning devices | 0.733095 |
| Warshaw E. Indoor | 0.361687 |
| response rate | 0.357046 |
| Risk Behavior Surveillance | 0.38316 |
| Affordable Care Act | 0.386498 |
| UV radiation | 0.344819 |
| Oak Ridge Institute | 0.340597 |
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| Thun M. Indoor | 0.360567 |
| devices multiple times | 0.359279 |
| private high school | 0.357293 |
| female students | 0.350294 |
| school response rate | 0.350299 |
| Barr R. Cancer | 0.3423 |
| United States | 0.372322 |
| Patient Protection | 0.348839 |
| Cancer Epidemiol Biomarkers | 0.342211 |
| documented risk factor | 0.344453 |
| federal health care | 0.350231 |
| federal Patient Protection | 0.347585 |
| previous reliability study | 0.344729 |
| 3-stage cluster sample | 0.345015 |
| times | 0.36308 |
| national Youth Risk | 0.357718 |
| youth risk behavior | 0.468838 |
| nationally representative sample | 0.343687 |
| nationally representative estimates | 0.34393 |
| indoor tanning device | 0.942809 |
| newly imposed tax | 0.342363 |
| new excise tax | 0.34728 |
| high school students | 0.582563 |
| risk factor | 0.344824 |
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Centers for Disease Control and Prevention |
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Health Literacy for Public Health Professionals - Get Training Continuing Education |
Training in health literacy is essential for anyone working in health information and services. Whether you are new to health literacy, need a refresher, or want to get your entire staff trained, these courses are a good place to start. |
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CLICK HERE |
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Centers for Disease Control and Prevention |
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Watching Hands: Artists Respond to Keeping Well |
David J. Sencer CDC Museum: Watching Hands: Artists Respond to Keeping Well |
| CDC Foundation | 0.635217 |
| importance | 0.347949 |
| NY | 0.364234 |
| Joe Peragine | 0.627603 |
| Didi Dunphy | 0.680837 |
| effective ways | 0.577356 |
| act | 0.345112 |
| unexpected ways | 0.618122 |
| artists | 0.379663 |
| installation | 0.341276 |
| boundaries | 0.360714 |
| GA | 0.345123 |
| connection | 0.3403 |
| CDC Museum Curator | 0.8933 |
| exhibit | 0.348082 |
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| Georgia Pacific | 0.572959 |
| exhibition | 0.341885 |
| hand washing | 0.997824 |
| Katherine L. Ross | 0.800791 |
| work | 0.345345 |
| public health campaigns | 0.823789 |
| graphic design | 0.566166 |
| new media | 0.562562 |
| sculpture | 0.34134 |
| Athens | 0.346276 |
| San Francisco | 0.561563 |
| Louise E. Shaw | 0.828663 |
| John Bankston | 0.610956 |
| H1N1 prevention campaigns | 0.852642 |
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Kidney Disease - Health Communication |
Kidney Disease - Gateway to Health Communication - CDC |
| country | 0.309501 |
| Blood pressure control | 0.393049 |
| urine | 0.310586 |
| health care provider | 0.389758 |
| dietary restrictions | 0.351745 |
| number | 0.319819 |
| African-Americans | 0.31046 |
| blood pressure drugs | 0.39191 |
| ethnic populations | 0.350341 |
| inhibitor class | 0.352065 |
| kidney damage | 0.48989 |
| injury | 0.310659 |
| angiotensin-converting enzyme | 0.350636 |
| uncontrolled diabetes | 0.360678 |
| blood pressure | 0.503003 |
| effective treatments | 0.349857 |
| kidney function | 0.513419 |
| severe kidney failure | 0.576699 |
| greatest risk | 0.351206 |
| American Indians | 0.350496 |
| daily medication | 0.348635 |
| low protein diets | 0.389157 |
| kidney failure | 0.723344 |
| kidney disease | 0.95778 |
| progression | 0.321565 |
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| kidneys | 0.383955 |
| significant portion | 0.352601 |
| life | 0.316163 |
| result | 0.309626 |
| Kidney transplants | 0.494874 |
| small fraction receive | 0.396564 |
| poisoning | 0.310472 |
| dialysis access areas | 0.407983 |
| dialysis patients | 0.365035 |
| bone disease | 0.357323 |
| dietary restriction | 0.350941 |
| cost | 0.309602 |
| kidney transplant | 0.615451 |
| blood test | 0.355815 |
| major loss | 0.355893 |
| people | 0.408598 |
| better quality | 0.350383 |
| Pacific Islanders | 0.352615 |
| proper treatment | 0.351978 |
| high blood pressure | 0.488388 |
| common causes | 0.36025 |
| family history | 0.352289 |
| blood glucose control | 0.394891 |
| severe illness | 0.359269 |
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Avian Influenza A Virus Infections in Humans |
Avian Influenza A Virus Infections in Humans - CDC |
| avian influenza | 0.966103 |
| CDC | 0.433839 |
| ill person | 0.428434 |
| United States | 0.466509 |
| avian influenza viruses | 0.725047 |
| influenza antiviral drugs | 0.531082 |
| critically ill patients | 0.444618 |
| infected birds | 0.45398 |
| influenza A viruses | 0.710009 |
| HPAIÂ Asian lineage | 0.446871 |
| Pathogenic Avian Influenza | 0.571209 |
| systems. Asian lineage | 0.446896 |
| novel influenza viruses | 0.575214 |
| influenza virus infection | 0.559277 |
| similar H5N1 viruses | 0.499861 |
| infected poultry | 0.428409 |
| public health professionals | 0.483651 |
| candidate vaccine virus | 0.491973 |
| bird flu viruses | 0.513368 |
| lower respiratory tract | 0.447666 |
| influenza A virus | 0.6127 |
| virus infections | 0.45138 |
| health care professionals | 0.444335 |
| antiviral resistance | 0.452105 |
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| acute respiratory distress | 0.450168 |
| available avian influenza | 0.575536 |
| seasonal influenza | 0.521111 |
| Seasonal influenza vaccination | 0.515593 |
| candidate vaccine viruses | 0.498909 |
| avian influenza virus | 0.660983 |
| Rare human infections | 0.460194 |
| sick person | 0.427661 |
| people | 0.433822 |
| influenza antiviral chemoprophylaxis | 0.530254 |
| human illness worldwide | 0.453242 |
| human infections | 0.506451 |
| avian viruses | 0.551472 |
| United States government | 0.441357 |
| avian influenza guidance | 0.575834 |
| severe respiratory illness | 0.454671 |
| person | 0.437703 |
| respiratory tract | 0.451938 |
| unprotected contact | 0.429121 |
| respiratory failure | 0.428405 |
| Asian avian influenza | 0.566173 |
| antiviral medications | 0.436312 |
| rare cases | 0.428061 |
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Medición de adiposidad y factores de riesgo de enfermedad cardiovascular, Encuesta de Salud y Nutrición de la Ciudad de Nueva York, 2004. |
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| Nueva York | 0.936604 |
| Estados Unidos | 0.566276 |
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| NYC HANES | 0.789428 |
| múltiples indicadores | 0.592551 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Using Simulation to CompareEstablished and Emerging Interventions to Reduce CardiovascularDisease Risk in the United States - CDC |
Computer simulation offers the ability to compare diverse interventions for reducing cardiovascular disease risks in a controlled and systematic way that cannot be done in the real world. |
| public health intervention | 0.370849 |
| indirect productivity costs | 0.405225 |
| public health interventions | 0.466171 |
| intervention levers | 0.374367 |
| air interventions | 0.521662 |
| cardiovascular risk factors | 0.56253 |
| care-based interventions | 0.436681 |
| Prevention Impacts Simulation | 0.360536 |
| periodontal disease | 0.356955 |
| diverse interventions | 0.491178 |
| high cholesterol | 0.453511 |
| model | 0.392438 |
| results | 0.356706 |
| cardiovascular events | 0.391383 |
| risk factors | 0.774591 |
| prevention interventions | 0.449324 |
| base case | 0.489867 |
| factor management costs | 0.392636 |
| Risk management costs | 0.390683 |
| PRISM | 0.448232 |
| public health officials | 0.354772 |
| mm Hg | 0.384346 |
| probabilistic sensitivity analysis | 0.427933 |
| lifestyle interventions | 0.632497 |
| various interventions | 0.436875 |
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| preventive care interventions | 0.494282 |
| care interventions | 0.826355 |
| obstructive pulmonary disease | 0.360349 |
| care costs | 0.437254 |
| potential life | 0.374256 |
| death rate | 0.613882 |
| uncertainty range | 0.71262 |
| risk factor management | 0.404674 |
| heart disease | 0.367481 |
| annual discount rate | 0.573141 |
| preventive care costs | 0.388077 |
| costs | 0.6722 |
| cardiovascular disease | 0.41052 |
| population-level interventions | 0.435791 |
| disease | 0.429285 |
| Emerging interventions | 0.509138 |
| physical activity | 0.400475 |
| interventions | 0.976008 |
| high blood pressure | 0.566006 |
| multiple CVD interventions | 0.469444 |
| air pollution | 0.397166 |
| coronary heart disease | 0.358379 |
| Established interventions | 0.495265 |
| risk factor-attributable costs | 0.394573 |
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CDC Increasing Supply of Ebola-specific Personal ProtectiveEquipment for U.S. Hospitals |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| regular patient care | 0.267415 |
| hospitals | 0.269796 |
| short-term PPE needs | 0.399605 |
| event certain products | 0.259065 |
| PPE | 0.515581 |
| CDC guidance | 0.278712 |
| new orders | 0.221073 |
| request PPE supplies | 0.386083 |
| Strategic National Stockpile | 0.953886 |
| SNS facilities | 0.255889 |
| hospital-based clinical team | 0.282052 |
| U.S. hospitals | 0.220359 |
| Ebola cases | 0.283673 |
| SNS personnel | 0.255937 |
| CDC PPE guidance | 0.469315 |
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| state health department | 0.257092 |
| CDC personnel | 0.352569 |
| U.S. hospital | 0.205313 |
| personal protective equipment | 0.799386 |
| CDC’s guidance | 0.271125 |
| N95 respirators | 0.202079 |
| PPE kit | 0.337476 |
| additional PPE supplies | 0.402335 |
| CDC’s Division | 0.26971 |
| Ebola patient | 0.799511 |
| health care facilities | 0.25595 |
| powered-air purifying respirator | 0.275729 |
| protective equipment kits | 0.305512 |
| state public health | 0.258603 |
| Ebola patients | 0.374368 |
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Centers for Disease Control and Prevention |
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Concussion Videos - T.J. Lavin's PSA (BMX) |
Former BMX Rider T.J. Lavin took a hard hit in competition and sustained a traumatic brain injury. He talks openly about his injury, and his desire to see more awareness for traumatic brain injuries.
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://streaming.cdc.gov/vod.php?id=059c958113724ec89e0e76c7113ee31d20130219153253468 |
| T.J. Lavin Talks | 0.948561 |
| Helmet | 0.350697 |
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CLICK HERE |