| 4858 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Monday, January 24, 2011 |
null |
| 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 |
|
| 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 |
|
CLICK HERE |
| 5086 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Monday, April 05, 2010 |
null |
| endorsement | 0.374074 |
| Prevalence | 0.320102 |
| Issue | 0.320056 |
| current awareness | 0.397539 |
| findings | 0.332494 |
| shift | 0.318026 |
| sickle cell disease | 0.489878 |
| nursing home residents | 0.48407 |
| 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 |
|
| 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 |
|
CLICK HERE |
| 8025 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 8858 |
Centers for Disease Control and Prevention |
Html |
en |
Specimen Collection, Processing, and Testing for Avian Influenza A H7N9 |
Interim Guidance for Specimen Collection, Processing, and Testing for Patients with Suspected Infection with Novel Influenza A Viruses Associated with Severe Disease in Humans - CDC |
| influenza H5N1 viruses | 0.42802 |
| avian influenza | 0.622006 |
| Human Influenza Virus | 0.417209 |
| live H5N1 virus | 0.262673 |
| Human Influenza Real-Time | 0.350327 |
| novel influenza | 0.907364 |
| avian influenza viruses | 0.384389 |
| human influenza viruses | 0.391619 |
| seasonal influenza surveillance | 0.332498 |
| influenza specimen | 0.329993 |
| Influenza Division Epidemiology | 0.39106 |
| HPAI H5N1 virus | 0.288652 |
| H7N9 virus infections | 0.237624 |
| seasonal influenza viruses | 0.399692 |
| Influenza Virus Real-Time | 0.414657 |
| positive influenza | 0.325697 |
| clinical specimens | 0.326759 |
| influenza virus infection | 0.554423 |
| pathogenic avian influenza | 0.46162 |
| CDC Flu rRT-PCR | 0.243759 |
| CDC Influenza Division | 0.433799 |
| Current influenza | 0.356079 |
| Virus Real-Time RT-PCR | 0.241464 |
| local health departments | 0.261073 |
|
| public health | 0.470943 |
| lower respiratory tract | 0.254348 |
| influenza A virus | 0.620197 |
| respiratory specimens | 0.280512 |
| seasonal influenza virus | 0.475638 |
| H5N1 virus detection | 0.285658 |
| seasonal influenza | 0.478061 |
| Influenza Virus Infections | 0.394985 |
| testing | 0.236131 |
| currently circulating influenza | 0.351021 |
| virus testing | 0.232942 |
| specimens | 0.387142 |
| local public health | 0.246214 |
| Influenza Division | 0.491273 |
| influenza viruses | 0.543311 |
| multiple respiratory specimens | 0.226792 |
| influenza virus | 0.561076 |
| public health laboratories | 0.327327 |
| influenza a viruses | 0.454931 |
| H5N1 virus infection | 0.295032 |
| CDC Human Influenza | 0.463755 |
| public health laboratory | 0.26348 |
| non-seasonal influenza virus | 0.4035 |
|
CLICK HERE |
| 9591 |
Centers for Disease Control and Prevention |
Html |
es |
Preventing Chronic Disease - CDC: Volume 10, 2013: 13_0099 |
Volumen 10 — el 26 de septiembre de 2013. |
| principal objetivo | 0.741313 |
| United States | 0.80281 |
| Public Interest | 0.786457 |
| Venkatesh S | 0.809707 |
| Weatherspoon LJ | 0.813988 |
| Kim S | 0.777759 |
| menor cantidad | 0.736736 |
|
| Paek H | 0.779784 |
| Foods Marketed | 0.797592 |
| Media Builder Metrix | 0.946754 |
| Plasencia J | 0.803121 |
| pequeña proporción | 0.74167 |
| Chronic Dis | 0.806487 |
|
CLICK HERE |
| 13420 |
Centers for Disease Control and Prevention |
Html |
en |
Vital Signs: Demographic and Substance Use Trends AmongHeroin Users - United States, 2002-2013 |
On July 7, 2015, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| logistic regression model | 0.365027 |
| reliever overdose hospitalizations | 0.329173 |
| prescription opioid overdose | 0.389256 |
| Trends Among Heroin | 0.441688 |
| insurance coverage | 0.322436 |
| heroin users | 0.724758 |
| overdose deaths | 0.75847 |
| demographic groups | 0.328736 |
| opioid pain | 0.975568 |
| opioid pain relievers | 0.855962 |
| heroin overdose death | 0.565083 |
| heroin overdoses | 0.445856 |
| risk factors | 0.354035 |
| heroin overdose hospitalizations | 0.518341 |
| prescription opioid overdoses | 0.335577 |
| prescription opioid pain | 0.34928 |
| opioid death rates | 0.348742 |
| heroin abuse | 0.948789 |
| heroin-related drug overdose | 0.475591 |
| current heroin | 0.41831 |
| heroin use rate | 0.414348 |
| persons | 0.357671 |
| substance abuse treatment | 0.351631 |
| past-year heroin users | 0.61761 |
| United States | 0.520983 |
|
| cocaine | 0.318121 |
| heroin overdose deaths | 0.516778 |
| heroin death rates | 0.465937 |
| overdose death rates | 0.399287 |
| heroin-related overdose deaths | 0.432771 |
| dependence | 0.598383 |
| heroin initiation | 0.466071 |
| substance abuse | 0.359565 |
| past-year heroin abuse | 0.630768 |
| heroin poisoning | 0.412767 |
| past-year heroin | 0.884232 |
| drug overdose deaths | 0.548972 |
| diagnostic criteria | 0.375633 |
| multivariable logistic regression | 0.365469 |
| annual household income | 0.487089 |
| evidence-based substance abuse | 0.325103 |
| opioid use disorders | 0.325989 |
| pain reliever abuse | 0.574002 |
| heroin use rates | 0.456865 |
| heroin mortality rate | 0.419978 |
| significantly higher heroin | 0.430564 |
| opioid pain reliever | 0.874937 |
| prescription opioid access | 0.336327 |
| heroin addiction treatment | 0.41895 |
|
CLICK HERE |
| 13994 |
Centers for Disease Control and Prevention |
Image |
null |
The Consequences of STIs are Particularly Severe for Young Women |
null |
|
|
CLICK HERE |
| 15534 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
| various disease forecasting | 0.439872 |
| flu forecasting activities | 0.580209 |
| external research groups | 0.4891 |
| 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 |
| flu forecasts | 0.515864 |
| original CDC competition | 0.471242 |
| disease forecasting | 0.495382 |
| actual flu activity | 0.610817 |
| FluSight website | 0.441478 |
| public health possibilities | 0.413342 |
|
| 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 |
|
CLICK HERE |
| 15831 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
| 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 |
|
CLICK HERE |
| 15856 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |