| 1113 |
Centers for Disease Control and Prevention |
Html |
en |
Prevent Rotavirus | CDC Features |
Vaccinate your child against rotavirus, a major cause of severe diarrhea. |
| best way | 0.381882 |
| emergency room | 0.375264 |
| insurance provider | 0.371873 |
| liquids | 0.336389 |
| program | 0.327146 |
| poop | 0.318393 |
| children | 0.592275 |
| young children | 0.468232 |
| dehydration | 0.317668 |
| small risk | 0.369987 |
| vomiting | 0.317802 |
| infants | 0.445551 |
| severe diarrhea | 0.407689 |
| rotavirus disease | 0.787468 |
| plenty | 0.315254 |
| dramatic decrease | 0.375711 |
| dose | 0.335836 |
| drug stores | 0.38104 |
| intussusception | 0.415357 |
| child | 0.49094 |
| vaccine drops | 0.439837 |
| doses | 0.316591 |
| tears | 0.316139 |
| dehydrated child | 0.401798 |
| United States | 0.539422 |
|
| rotavirus vaccine | 0.943094 |
| severe watery diarrhea | 0.472999 |
| severe rotavirus disease | 0.692246 |
| percent | 0.315449 |
| result | 0.315826 |
| ORS | 0.345696 |
| abdominal pain | 0.385956 |
| bowel blockage | 0.381751 |
| small increase | 0.373179 |
| eligible children | 0.382521 |
| hand | 0.315852 |
| fluids | 0.315819 |
| health insurance plans | 0.429641 |
| sick person | 0.381847 |
| food | 0.333023 |
| doctor | 0.344859 |
| environment | 0.315923 |
| mouth | 0.334721 |
| rotavirus illness | 0.602489 |
| rotavirus | 0.953687 |
| state VFC coordinator | 0.434591 |
| rotavirus vaccination | 0.616471 |
| different rotavirus vaccines | 0.70667 |
| Oral rehydration solutions | 0.45292 |
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| 5300 |
Centers for Disease Control and Prevention |
Html |
en |
Worker Safety After a Flood|Floods |
Information on floods. Provided by the Centers for Disease Control and Prevention (CDC). |
| tetanus booster shot | 0.87848 |
| watertight boots | 0.415075 |
| clean water | 0.355102 |
| steel toe | 0.39067 |
| wounds | 0.241153 |
| pavement breakers | 0.373614 |
| chain saws | 0.361599 |
| tetanus immunization campaigns | 0.909964 |
| tetanus booster | 0.893258 |
| heavy work gloves | 0.621959 |
| Cleanup crews | 0.597965 |
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| hard hats | 0.388407 |
| Td | 0.229189 |
| cleanup activities | 0.523707 |
| flood cleanup | 0.808233 |
| tetanus vaccine | 0.628755 |
| rains cease | 0.454751 |
| hearing protection devices | 0.561775 |
| cleanup workers | 0.519511 |
| minor cuts | 0.377546 |
| Excessive noise | 0.376263 |
| tetanus vaccination | 0.67472 |
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| 6445 |
Centers for Disease Control and Prevention |
Html |
en |
15th Annual Conference on Vaccine Research |
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. | 0.842934 |
| meningococcal vaccine | 0.897088 |
| veterinary vaccinology | 0.841405 |
| National Foundation | 0.822022 |
| U.S. Government Printing | 0.917652 |
| original MMWR paper | 0.917247 |
| related technologies | 0.829575 |
| Clinical developments | 0.826905 |
| methodologic experts | 0.827576 |
| Human Services | 0.901591 |
| expert faculty | 0.824739 |
| assistive technology | 0.840869 |
| Vaccine Research | 0.900418 |
| MMWR HTML versions | 0.921349 |
| U.S. Department | 0.901816 |
| MMWR readers | 0.826588 |
| R. Hilleman Early-Stage | 0.922216 |
| Harbor Hotel | 0.822342 |
| electronic PDF version | 0.907225 |
| largest scientific forum | 0.941235 |
| diverse fields | 0.820628 |
| Outstanding Scientific Communications | 0.929956 |
| Career Investigator Award | 0.923578 |
|
| travel grants | 0.819199 |
| subject line | 0.837797 |
| enteric diseases | 0.835762 |
| Additional information | 0.820832 |
| preconference workshop | 0.840815 |
| travel stipend | 0.832901 |
| Contact GPO | 0.841374 |
| international agencies | 0.819786 |
| typeset documents | 0.819732 |
| general abstracts | 0.829081 |
| 15th Annual Conference | 0.955607 |
| adverse events | 0.826391 |
| Bethesda Avenue | 0.819508 |
| eligible authors | 0.822293 |
| food safety vaccines | 0.9597 |
| non-CDC sites | 0.817736 |
| online submission | 0.822858 |
| original paper copy | 0.913579 |
| vaccine discovery | 0.888959 |
| limited resources | 0.82381 |
| Infectious Diseases | 0.818017 |
| research expenses | 0.827079 |
| Hyatt Regency Inner | 0.934738 |
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| 7443 |
Centers for Disease Control and Prevention |
Html |
en |
NCEH A to Z Index - X |
Resources for the National Center for Environmental Health |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
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| 8118 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | An Algorithm That IdentifiesCoronary and Heart Failure Events in the Electronic Health Record -CDC |
The advent of universal health care coverage in the United States and the use of electronic health records can make the medical record a disease surveillance tool. The objective of our study was to identify criteria that accurately categorize acute coronary and heart failure events by using electronic health record data exclusively so that the medical record can be used for surveillance without manual record review. |
| codes | 0.268674 |
| myocardial infarction | 0.451076 |
| relevant financial relationships | 0.300204 |
| ischemic heart disease | 0.257459 |
| AMA PRA | 0.257479 |
| medical group | 0.275534 |
| heart disease prevalence | 0.301729 |
| Intelligent Medical Objects | 0.269659 |
| algorithm | 0.299677 |
| heart failure | 0.81147 |
| medical record data | 0.305925 |
| IMO terms | 0.298528 |
| Courtney Jordan Baechler | 0.297331 |
| heart diseasee | 0.284483 |
| systolic heart failure | 0.383271 |
| patients | 0.262619 |
| universal health care | 0.273828 |
| American Heart Association | 0.269254 |
| chronic disease | 0.333939 |
| manual record review | 0.770947 |
| electronic health | 0.396959 |
| unstable angina | 0.316962 |
| hospital discharge code | 0.537759 |
| electronic health record | 0.378937 |
|
| electronic medical record | 0.338303 |
| health record data | 0.257433 |
| heart disease treatment | 0.272629 |
| ST elevation | 0.31713 |
| ambulatory presentation | 0.278852 |
| heart disease | 0.941259 |
| acute heart failure | 0.491694 |
| public health | 0.286194 |
| acute coronary heart | 0.271029 |
| ECG | 0.27 |
| electronic health records | 0.392656 |
| health care coverage | 0.274018 |
| heart disease prevention | 0.317059 |
| Thomas E. Kottke | 0.311966 |
| medical record | 0.546398 |
| troponin level | 0.337647 |
| chest pain | 0.334498 |
| ECG data file | 0.264194 |
| chronic prevalent disease | 0.31986 |
| ICD-9-CM codes | 0.266528 |
| coronary heart disease | 0.686774 |
| medical records | 0.32533 |
| heart failure events | 0.463999 |
| normal troponin levels | 0.290086 |
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| 12490 |
Centers for Disease Control and Prevention |
Video |
en |
ACIP Feb 2014: General Recommendations |
General Recommendations on Immunization Storage and Handling of Immunobiologics, and Storage and handling.
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=f23197a4c24f705d5d808df7088b914920140410091148154 |
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| 12622 |
Centers for Disease Control and Prevention |
Video |
en |
Director's Briefing: SARS -- 10 Years Later |
It has been 10 years since the global outbreak of SARS, which killed hundreds of people and cost tens of billions of dollars. In this Director's Briefing video, CDC Director Dr. Tom Frieden talks about how we have made progress in disease detection since SARS; however, we remain at risk from global health threats, including emerging and drug-resistant microbes. Next-generation tools like molecular sequencing and bioinformatics can help us rapidly identify and stop these killer microbes before they spread, but we must act now.
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=d70dfef016f95fc859f98b407aa3cc6520130312132525611 |
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| 13520 |
Centers for Disease Control and Prevention |
Html |
en |
Benefits of Vision Correction with Contact Lenses | Contact Lenses | CDC |
CDC - Protect Your Eyes: Healthy and Safe Contact Lens Cleaning and Use. Millions of people use contact lenses every day but lens cleaning practices can lead to eye infections. Hands should be washed before handling contact lenses and contacts should be properly cleaned, disinfected, and stored to ensure eye health and safety. Following your eye doctor’s recommendations and a few simple steps can lead to healthy daily contact lens use. |
| pediatric contact lens | 0.537131 |
| Good vision | 0.462752 |
| Walline JJ | 0.641673 |
| refractive error correction | 0.47968 |
| contact lens-wearing experience | 0.535579 |
| orthokeratology contact lenses | 0.631798 |
| Well-fitting contact lenses | 0.604708 |
| K. Vision-specific quality | 0.480521 |
| contact lens myopia | 0.573668 |
| Study Group | 0.486931 |
| U.S. Food | 0.498877 |
| contact lenses | 0.98018 |
| randomized clinical trial | 0.491318 |
| low temperature work | 0.488042 |
| Sinnott LT. Corneal | 0.48505 |
| Curr Eye Res. | 0.495704 |
| eye doctor | 0.50519 |
| clinical contact lens | 0.542733 |
| Vision specific quality | 0.487904 |
| lenses—even cosmetic lenses | 0.568274 |
| soft contact lens | 0.549635 |
| eye—are medical devices | 0.494613 |
| relative peripheral hyperopia | 0.485555 |
| contact lens wearers | 0.620328 |
| correctable vision | 0.466886 |
|
| Drug Administration | 0.498837 |
| Cheung SW | 0.497228 |
| contact lens | 0.841356 |
| Eye Contact Lens. | 0.524199 |
| Rah MJ | 0.497476 |
| vision correction | 0.456379 |
| Contact Lenses. | 0.518918 |
| Jackson JM | 0.490606 |
| Ge J. Decrease | 0.484661 |
| contact lens wear | 0.611595 |
| vision-related quality-of-life measures | 0.484127 |
| individual’s eyes | 0.45748 |
| axial myopia progression | 0.525521 |
| non-prescription UV-blocking sunglasses | 0.495696 |
| myopia progression | 0.570534 |
| R. Myopia control | 0.511695 |
| contact lens materials | 0.560873 |
| fitted contact lenses | 0.609561 |
| Optometric Association | 0.499947 |
| longitudinal orthokeratology research | 0.503231 |
| Ophthalmol Vis Sci. | 0.593232 |
| Jones LA | 0.489091 |
| Optom Vis Sci. | 0.640404 |
| myopia control | 0.513142 |
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| 15450 |
Centers for Disease Control and Prevention |
Html |
en |
What You Need to Know | Zika virus | CDC |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| pregnancies | 0.447991 |
| semen | 0.436558 |
| condoms | 0.510492 |
| sex partners | 0.580083 |
| United States | 0.621006 |
| Zika infection | 0.596731 |
| sign | 0.437893 |
| Zika virus | 0.921981 |
| areas | 0.480208 |
| type | 0.441731 |
| fetuses | 0.455707 |
| uninfected mosquitoes | 0.617411 |
| trip | 0.435271 |
| birth defect | 0.595441 |
| talk | 0.435496 |
| area | 0.504971 |
| CDC’s guidance | 0.58617 |
| infants | 0.440565 |
|
| incomplete brain development | 0.768789 |
| sexual transmission | 0.584816 |
| oral sex | 0.57722 |
| sex. Zika | 0.575082 |
| pregnancy | 0.477362 |
| night | 0.443387 |
| steps | 0.526217 |
| bites | 0.490856 |
| blood | 0.435244 |
| people | 0.43511 |
| travelers | 0.436193 |
| Doctors | 0.436297 |
| symptoms | 0.475307 |
| healthcare provider | 0.587559 |
| person | 0.527949 |
| risk | 0.5049 |
| information | 0.434842 |
| time | 0.472703 |
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| 16071 |
Centers for Disease Control and Prevention |
Html |
en |
Declines in Opioid Prescribing After a Private InsurerPolicy Change - Massachusetts, 2011-2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| time series analysis | 0.404034 |
| long-acting opioid prescriptions | 0.684708 |
| opioid prescribing practices | 0.545583 |
| BCBSMA | 0.451456 |
| monthly prescribing rates | 0.424079 |
| prior authorization requirement | 0.405451 |
| monthly prescribing rate | 0.49957 |
| opioid utilization program | 0.802034 |
| short-acting opioid prescriptions | 0.738889 |
| members | 0.516841 |
| prescription opioids | 0.502491 |
| opioid types | 0.52823 |
| new opioid prescriptions | 0.630253 |
| new prescription opioids | 0.445527 |
| multiple providers | 0.413505 |
| long-acting opioid prescription | 0.57561 |
| comprehensive opioid utilization | 0.657454 |
| current opioid prescriptions | 0.629275 |
| Schedule IV opioid | 0.508762 |
| pain management | 0.407015 |
| opioid use disorder | 0.563177 |
| opioid prescribing rates | 0.810408 |
| insurer opioid utilization | 0.541231 |
| chronic pain | 0.411363 |
| prescription opioid utilization | 0.59941 |
|
| program implementation | 0.407696 |
| United States | 0.421555 |
| opioid utilization | 0.809261 |
| dispensed opioids | 0.405215 |
| mail-order opioid prescriptions | 0.654397 |
| Cross Blue Shield | 0.438922 |
| fewer opioid doses | 0.542938 |
| prior authorization requirements | 0.469243 |
| short-acting opioids | 0.464856 |
| Prescribing Opioids | 0.444163 |
| BCBSMA prescription claims | 0.434124 |
| new prescriptions | 0.454435 |
| opioid prescriptions | 0.984696 |
| prescription claims data | 0.42643 |
| prior authorization | 0.565473 |
| average monthly number | 0.396996 |
| opioid epidemic | 0.505606 |
| frequently prescribed opioid | 0.531946 |
| opioid utilization policy | 0.603959 |
| opioid misuse | 0.530415 |
| nononcology opioid prescriptions | 0.591794 |
| opioid pain medications | 0.628188 |
| medication-assisted treatment | 0.405656 |
| opioids | 0.554307 |
|
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