| 4858 |
Centers for Disease Control and Prevention |
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Science Clips - Monday, January 24, 2011 |
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| adult community-acquired pneumonia | 0.772959 |
| Med Inform Assoc. | 0.773742 |
| rotavirus hospitalization disease | 0.784335 |
| Marston BJ | 0.781348 |
| suboptimal glycemic control | 0.76609 |
| CDC Science Clips | 0.893327 |
| Appl Environ Microbiol. | 0.77597 |
| rotavirus vaccine program | 0.782804 |
| real-time reverse-transcriptase polymerase | 0.764209 |
| Arch Dis Child. | 0.7611 |
| Chief Science Officer | 0.783343 |
| postnatally HIV-infected children | 0.77566 |
| Bartonella vinsonii subsp. | 0.772965 |
| trivalent polio vaccine | 0.766185 |
| rural western Kenya | 0.770165 |
| clinician-ordered rapid antigen | 0.763937 |
| Parashar UD | 0.774736 |
| influenza vaccine effectiveness | 0.768297 |
| Stephen B. Thacker | 0.845308 |
| Self-reported influenza-like illness | 0.75997 |
| New gene variants | 0.761405 |
| national worklife priorities | 0.762881 |
| High Alt Med | 0.774637 |
| United States | 0.817592 |
| specific airway resistance | 0.762021 |
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| artificial human lung | 0.761478 |
| virus polyprotein sites | 0.761712 |
| Bresee JS | 0.783693 |
| proportional hazards model | 0.760473 |
| CDC’s Community | 0.791959 |
| United States Whites | 0.772657 |
| Patient Educ Couns. | 0.76938 |
| Acquir Immune Defic | 0.769582 |
| urine antigen detection | 0.778415 |
| Database Syst Rev. | 0.770896 |
| public health | 0.776577 |
| Jackson Heart Study | 0.782206 |
| treatment decision-making process | 0.774089 |
| public health literature | 0.775793 |
| breast cancer | 0.771665 |
| oxide particle/fiber mixtures | 0.762392 |
| B. Thacker CDC | 0.882651 |
| Ind Med. | 0.81642 |
| systematic review | 0.769922 |
| modeling HIV susceptibility | 0.763709 |
| Health Belief Model | 0.772275 |
| Jan | 0.998928 |
| Crit Care Med. | 0.785678 |
| latent tuberculosis infection | 0.770291 |
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Centers for Disease Control and Prevention |
Html |
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Science Clips - Monday, April 05, 2010 |
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| endorsement | 0.374074 |
| Prevalence | 0.320102 |
| Issue | 0.320056 |
| current awareness | 0.397539 |
| findings | 0.332494 |
| shift | 0.318026 |
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| Disease Control | 0.394967 |
| CDC Knowledge | 0.622003 |
| Action Science Clips | 0.952119 |
| factual accuracy | 0.398406 |
| new weekly digest | 0.510057 |
| Chief Science Officer | 0.498203 |
| conclusions | 0.318931 |
| patients | 0.316629 |
| human pulmonary sources | 0.485696 |
| article | 0.327462 |
| DHHS | 0.420349 |
| DISCLAIMER | 0.323153 |
| public domain | 0.404358 |
| Stephen B. Thacker | 0.687446 |
| Emergency department visits | 0.485898 |
| dementia | 0.317908 |
| Rubella virus genotypes | 0.514346 |
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| items | 0.338856 |
| components | 0.318669 |
| Nocardia niwae sp. | 0.482362 |
| United States | 0.400098 |
| inclusion | 0.317082 |
| China | 0.316857 |
| omission | 0.324041 |
| views | 0.328158 |
| informational purposes | 0.389958 |
| People | 0.316879 |
| public health literature | 0.47767 |
| descriptive study | 0.401709 |
| permission | 0.319586 |
| B. Thacker CDC | 0.822501 |
| original authors | 0.395813 |
| endemic viruses | 0.405101 |
| opinion | 0.328796 |
| non-CDC Websites | 0.394879 |
| original sources | 0.405787 |
| Vol. | 0.320076 |
| service | 0.317553 |
| news sources | 0.397326 |
| report | 0.318694 |
| Thacker CDC Library | 0.822326 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Expansion of Electronic HealthRecord-Based Screening, Prevention, and Management of Diabetes inNew York City - CDC |
To address the increasing burden of diabetes in New York City, we designed 2 electronic health records (EHRs)-facilitated diabetes management systems to be implemented in 6 primary care practices on the West Side of Manhattan, a standard system and an enhanced system. The standard system includes screening for diabetes. |
| diabetes prevention | 0.654428 |
| standard diabetes management | 0.62832 |
| Diabetes Educ | 0.534914 |
| IT-based diabetes management | 0.534008 |
| primary care physician | 0.486341 |
| HbA1c measurement | 0.46943 |
| New York City | 0.542709 |
| Vermont Diabetes Information | 0.510165 |
| final hba1c | 0.504446 |
| primary care practices | 0.554767 |
| primary care practice | 0.548624 |
| newly diagnosed diabetes | 0.720095 |
| participant HbA1c levels | 0.500942 |
| evidence-based diabetes management | 0.577525 |
| HbA1c tests | 0.565697 |
| patients | 0.502541 |
| baseline HbA1c | 0.524879 |
| HbA1c values | 0.482436 |
| enhanced diabetes management | 0.640965 |
| HbA1c measures | 0.47416 |
| established diabetes prevention | 0.547318 |
| chronic care model | 0.525809 |
| log-transformed HbA1c measure | 0.487378 |
| new-onset diabetes | 0.501683 |
|
| primary care clinics | 0.48976 |
| diabetes care | 0.708109 |
| diabetes screening | 0.5086 |
| HbA1c test | 0.47077 |
| HbA1c levels | 0.660464 |
| HbA1c measurements | 0.502134 |
| health care | 0.631659 |
| health care systems | 0.472761 |
| New York | 0.675889 |
| Diabetes Cost-Effectiveness Study | 0.532528 |
| electronic health records | 0.50425 |
| previously undiagnosed diabetes | 0.542974 |
| diabetes management systems | 0.625326 |
| routine diabetes care | 0.608804 |
| diabetes prevention behaviour | 0.531707 |
| diabetes management | 0.823149 |
| Diabetes Prevention Program | 0.559978 |
| et al | 0.554064 |
| patient-centered medical home | 0.490998 |
| primary care | 0.711042 |
| American Diabetes Association | 0.594074 |
| HbA1c improvements | 0.484266 |
| HbA1c outcomes | 0.471203 |
| diabetes | 0.921546 |
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Centers for Disease Control and Prevention |
Html |
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Prepare su casa|Temporada invernal |
Tomar medidas preventivas es su mejor protección contra las temperaturas frías extremas. Usted puede reducir el riesgo de sufrir afecciones atribuidas a las condiciones climáticas si prepara su casa y auto con antelación para las emergencias de invierno y si toma precauciones de seguridad durante las temperaturas extremadamente frías. |
| Archivo Apple Quicktime | 0.608606 |
| Archivo RealPlayer | 0.487389 |
| Archivo Zip Comprimido | 0.603548 |
| Archivo Microsoft PowerPoint | 0.625342 |
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| Archivo Adobe PDF | 0.604772 |
| Archivo Microsoft Excel | 0.59788 |
| Coloque masilla | 0.523119 |
| Archivo Microsoft | 0.915959 |
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Centers for Disease Control and Prevention |
Html |
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Gynecologic Cancer Prevention |
Prevention of gynecologic cancers. |
| doses | 0.33927 |
| sexually transmitted infection | 0.643804 |
| Pap test results | 0.633863 |
| purpose | 0.332025 |
| screening test—the Pap | 0.669959 |
| gynecologic cancer | 0.483668 |
| boys | 0.334399 |
| girls | 0.334382 |
| teens | 0.330417 |
| HPV vaccine | 0.571737 |
| precancers | 0.330929 |
| HPV | 0.60379 |
| effective treatment | 0.451467 |
| gynecologic cancers | 0.867037 |
| reliable way | 0.449946 |
| test—that | 0.331271 |
| Pap test | 0.840255 |
| main screening test | 0.589097 |
| cervix | 0.33793 |
| diagnostic tests | 0.714056 |
| types | 0.336589 |
| disease | 0.362346 |
|
| preteens | 0.344886 |
| HPV test | 0.511902 |
| Talk | 0.330414 |
| cervical cancer | 0.994127 |
| HPV tests | 0.505839 |
| symptoms | 0.399556 |
| doctor | 0.33039 |
| HPV infection | 0.515878 |
| Cancer screening tests | 0.599999 |
| young adults | 0.47179 |
| series | 0.401059 |
| person | 0.367485 |
| human papillomavirus | 0.500672 |
| high risk | 0.452109 |
| diagnose | 0.335066 |
| vulvar cancers | 0.522078 |
| two-dose schedule | 0.473447 |
| cell changes | 0.459458 |
| shots | 0.371023 |
| age | 0.46412 |
| women | 0.357143 |
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Centers for Disease Control and Prevention |
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The Consequences of STIs are Particularly Severe for Young Women |
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Centers for Disease Control and Prevention |
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CDC - Skin Cancer Prevention Fact Sheets |
These fact sheets list skin cancer prevention strategies for parents, teachers, employers, and parks and recreation staff. |
| proven education programs | 0.621633 |
| skin cancer | 0.895654 |
| sunbathing | 0.345063 |
| UV rays | 0.443541 |
| sun-safe behaviors | 0.427367 |
| skin cancers | 0.487604 |
| parks | 0.282965 |
| su familia | 0.466486 |
| school | 0.239762 |
| long-sleeved shirt | 0.452575 |
| sun protection items | 0.605961 |
| fact sheets list | 0.660699 |
| safe workplace | 0.418285 |
| sunglasses | 0.246046 |
| recreation staff | 0.641203 |
| midday | 0.441532 |
| wide-brimmed hat | 0.439131 |
| shade | 0.359988 |
| Visitors | 0.267456 |
| discourage children | 0.495143 |
| sun protection | 0.781218 |
| Proteja | 0.278879 |
| Fellow Staff Members | 0.614851 |
| umbrellas | 0.243072 |
|
| Recess | 0.257405 |
| parents | 0.242324 |
| United States | 0.472418 |
| broad-spectrum sunscreen | 0.776448 |
| wide-brimmed hats | 0.415816 |
| layer | 0.242025 |
| high-use areas | 0.417139 |
| sus | 0.256594 |
| Stay sun-safe outdoors | 0.64538 |
| productivity | 0.278199 |
| teachers | 0.242292 |
| sun protection gear | 0.650083 |
| cáncer | 0.278727 |
| outdoor workers | 0.415293 |
| strategies | 0.242355 |
| outdoor activities | 0.428815 |
| protective clothing | 0.417559 |
| Skin Cancer. | 0.985322 |
| indoor tanning | 0.665859 |
| people | 0.246085 |
| outdoor recreational areas | 0.604227 |
| money | 0.239066 |
| sun exposure | 0.42678 |
| Family | 0.241838 |
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Flu Activity Forecasting Website Launched |
A new website provides forecasts of flu activity made by external research groups - CDC |
| CDC | 0.548427 |
| 2014-2015 influenza season | 0.423658 |
| forecasting flu activity | 0.614437 |
| large social gatherings | 0.396125 |
| flu activity | 0.903398 |
| health officials | 0.445122 |
| cost effective methods | 0.396014 |
| Seasonal Influenza Forecasting | 0.48328 |
| public health forecasting | 0.455893 |
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| new governmental projects | 0.387352 |
| flu antiviral medications | 0.555977 |
| health care providers | 0.417623 |
| public health decision-making | 0.428351 |
| flu forecasting efforts | 0.591879 |
| internet search data | 0.400486 |
| real-time flu activity | 0.573557 |
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| original CDC competition | 0.471242 |
| disease forecasting | 0.495382 |
| actual flu activity | 0.610817 |
| FluSight website | 0.441478 |
| public health possibilities | 0.413342 |
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| governmental contract mechanisms | 0.389997 |
| different disease threats | 0.393527 |
| Columbia University | 0.396592 |
| Dr. Jeffrey Shaman | 0.391542 |
| flu surveillance systems | 0.542767 |
| Epidemic Prediction Initiative | 0.40081 |
| Carnegie Mellon University | 0.388587 |
| infectious disease forecasting | 0.456377 |
| Environmental Health Sciences | 0.409791 |
| CDC’s Influenza | 0.454672 |
| flu vaccination clinics | 0.553039 |
| social media data | 0.400592 |
| CDC Public Health | 0.48755 |
| public health | 0.62959 |
| potential public health | 0.424631 |
| Grand Rounds meeting | 0.388435 |
| nationwide domestic influenza | 0.431737 |
| private sector resources | 0.390914 |
| Influenza Season Challenge | 0.428905 |
| disease mitigation strategies | 0.40478 |
| monitors flu activity | 0.568693 |
| forecasting infectious diseases | 0.459886 |
| flu season | 0.589858 |
| 2015-16 flu season | 0.53983 |
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Zika Vector Control in the Continental US |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| aerial mosquito control | 0.514812 |
| vector control officials | 0.372714 |
| Committee Mosquito Control. | 0.450842 |
| optimum vector control | 0.373215 |
| vector control programs | 0.391009 |
| hand-held application devices | 0.386456 |
| Zika virus | 0.902404 |
| larval production sites | 0.42056 |
| indoor residual spraying | 0.398598 |
| Mosq Control Assoc. | 0.432486 |
| Zika virus test | 0.373464 |
| Nile virus control | 0.365489 |
| local governments | 0.369893 |
| larval mosquito control | 0.688911 |
| source reduction | 0.512088 |
| Zika virus acquisition | 0.443806 |
| Zika virus disease | 0.390487 |
| mosquito control pesticides | 0.550374 |
| adult vector mosquitoes | 0.402037 |
| Ae. aegypti | 0.466099 |
| infected adult mosquitoes | 0.369796 |
| adult mosquitoes | 0.506236 |
| Zika virus activity | 0.366815 |
| Zika virus transmission | 0.423049 |
| vector control plan | 0.389678 |
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| additional vector control | 0.376144 |
| vector control efforts | 0.548039 |
| mosquito control | 0.795105 |
| Positive Zika virus | 0.368216 |
| Zika virus infection | 0.488079 |
| larval reduction methods | 0.356746 |
| larval mosquitoes | 0.4124 |
| local mosquito-borne Zika | 0.369947 |
| larval control efforts | 0.434915 |
| mosquito control efforts | 0.564849 |
| virus disease cases | 0.360955 |
| larval Ae. aegypti | 0.384793 |
| mosquito life cycle | 0.483909 |
| adult mosquito control | 0.571711 |
| larval control | 0.437816 |
| vector control | 0.607643 |
| new vector mosquitoes | 0.36668 |
| Vector Control Pesticides | 0.36143 |
| local mosquito-borne transmission | 0.528004 |
| infected mosquito | 0.47988 |
| West Nile virus | 0.373117 |
| adult Aedes mosquitoes | 0.455175 |
| control efforts | 0.605713 |
| mosquito control plans | 0.582478 |
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School District Crisis Preparedness, Response, and RecoveryPlans - United States, 2012 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| disaster preparedness planning | 0.572537 |
| school district level | 0.402299 |
| nonurban districts | 0.546919 |
| all-hazards response plans | 0.386748 |
| U.S. Department | 0.450355 |
| community preparedness | 0.379865 |
| health preparedness plans | 0.529726 |
| school districts | 0.69797 |
| school district preparedness | 0.524297 |
| infectious disease outbreaks | 0.749757 |
| mental health services | 0.685332 |
| crisis preparedness plans | 0.741056 |
| Services Emergency Preparedness | 0.432195 |
| school health policies | 0.590865 |
| disaster planning | 0.431639 |
| public health practice | 0.468586 |
| urban districts | 0.54717 |
| school preparedness plans | 0.541061 |
| schools | 0.4631 |
| school crisis preparedness | 0.487852 |
| child care facilities | 0.410765 |
| crisis preparedness | 0.795295 |
| community-based preparedness planning | 0.444437 |
| public school districts | 0.485882 |
| vulnerable population | 0.400192 |
|
| districts | 0.74975 |
| Southern districts | 0.37385 |
| family reunification procedures | 0.604828 |
| preparedness planning | 0.652021 |
| school disaster planning | 0.383747 |
| pandemic influenza | 0.510795 |
| school district–level data | 0.388573 |
| census regions | 0.394579 |
| Healthy People | 0.39165 |
| special needs | 0.645482 |
| school staff members | 0.38452 |
| community partners | 0.411147 |
| staff members | 0.946565 |
| law enforcement agencies | 0.458124 |
| local mental health | 0.370412 |
| safe school environment | 0.485098 |
| school environment questionnaire | 0.477708 |
| district–based disaster preparedness | 0.467652 |
| specific topics | 0.629963 |
| local law enforcement | 0.458781 |
| unique vulnerabilities | 0.408273 |
| preparedness objectives | 0.394811 |
| school-based preparedness | 0.458887 |
| National Report Card | 0.437312 |
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