| 4534 |
Centers for Disease Control and Prevention |
Html |
en |
HIV/AIDS and the Flu |
People with HIV/AIDS are at increased risk of from serious complications from flu - CDC |
| influenza infection | 0.501945 |
| influenza antiviral agents | 0.63814 |
| influenza antiviral drugs | 0.667501 |
| influenza-related complications | 0.515811 |
| HIV-infected persons | 0.42386 |
| influenza symptoms | 0.516587 |
| ) site. | 0.403636 |
| HIV attacks cells | 0.495183 |
| antiviral chemoprophylaxis agents | 0.423702 |
| example people | 0.271816 |
| influenza vaccine | 0.772204 |
| seasonal influenza | 0.451262 |
| Current CDC guidance | 0.339385 |
| certain cancers | 0.257269 |
| AIDS | 0.324424 |
| lung-related hospitalizations | 0.258934 |
| flu antiviral drugs | 0.607227 |
| severe paralyzing illness | 0.35283 |
| active antiretroviral therapy | 0.382402 |
| life-threatening allergic reaction | 0.355979 |
| adverse drug reactions | 0.339672 |
| inactivated influenza vaccine | 0.708354 |
| live influenza virus | 0.579897 |
| high risk | 0.524724 |
| human immunodeficiency virus | 0.401732 |
|
| antiviral medications | 0.468161 |
| advanced HIV disease | 0.466354 |
| influenza | 0.945315 |
| milder egg allergies | 0.357093 |
| United States | 0.261501 |
| flu vaccine | 0.692463 |
| flu complications | 0.533244 |
| certain people | 0.294613 |
| flu shots | 0.448588 |
| immune response | 0.399622 |
| immunodeficiency syndrome | 0.269297 |
| health care workers | 0.515621 |
| influenza season | 0.515875 |
| greater chance | 0.360241 |
| certain HIV-infected people | 0.492132 |
| people | 0.703661 |
| influenza vaccination | 0.628795 |
| flu | 0.81856 |
| local public health | 0.337326 |
| nasal spray vaccine | 0.430377 |
| flu shot | 0.452227 |
| HIV | 0.586511 |
| influenza viruses | 0.510023 |
| poor immune response | 0.373602 |
|
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| 4929 |
Centers for Disease Control and Prevention |
Html |
en |
2009 H1N1: Overview of a Pandemic - Background on Influenza |
null |
| coronary artery disease | 0.573238 |
| contagious respiratory illness | 0.604145 |
| United States | 0.637286 |
| flu cough | 0.641159 |
| new H1N1 virus | 0.631679 |
| mild respiratory illness | 0.566121 |
| flu virus | 0.836471 |
| flu complications | 0.617272 |
| sickle cell disease | 0.57484 |
| Highest complication rates | 0.558284 |
| Highest illness rates | 0.578925 |
| small particle droplet | 0.570799 |
| Influenza type | 0.717407 |
| congenital heart disease | 0.575234 |
| congestive heart failure | 0.550873 |
| Flu seasons | 0.633486 |
| Section 508-accessible version | 0.581801 |
| Body Mass Index | 0.551268 |
| influenza vaccine | 0.749358 |
| metabolic disorders | 0.549293 |
| large droplet transmission | 0.568353 |
| Seasonal Flu website | 0.747269 |
| influenza A subtype | 0.723709 |
|
| seasonal influenza | 0.817986 |
| Influenza results | 0.740374 |
| weakened immune systems | 0.571614 |
| (contact transmission) | 0.556828 |
| flu viruses | 0.827007 |
| people | 0.60626 |
| severely ill persons | 0.559384 |
| Chronic lung disease | 0.569708 |
| English language content | 0.583207 |
| stand-alone Web document | 0.578961 |
| influenza viruses | 0.983287 |
| way influenza viruses | 0.890383 |
| substantial economic impact | 0.558006 |
| et al | 0.549413 |
| influenza b viruses | 0.916994 |
| flu season | 0.623307 |
| particular flu virus | 0.757355 |
| illness onset | 0.571357 |
| influenza a viruses | 0.892422 |
| newer virus strains | 0.638772 |
| Human influenza | 0.718386 |
| obstructive pulmonary disease | 0.573475 |
|
CLICK HERE |
| 6954 |
Centers for Disease Control and Prevention |
Html |
en |
CDC - Preventing Chronic Disease: Volume 9, 2012:11_0142 |
In Ethiopia, lack of reliable data on causes of death prevents full understanding of the double mortality burden of communicable and noncommunicable diseases. Our objective was to help bridge this research gap by analyzing surveillance data on causes of death in Addis Ababa. |
| epidemiological transition | 0.450659 |
| verbal autopsy interviews | 0.378409 |
| injuries | 0.397193 |
| premature death rate | 0.37135 |
| female deaths | 0.468894 |
| major causes | 0.37466 |
| World Bank | 0.382656 |
| standardized verbal autopsy | 0.377378 |
| deaths | 0.79482 |
| group | 0.432318 |
| burial surveillance records | 0.369716 |
| adult death rates | 0.382466 |
| World Health Organization | 0.412216 |
| digestive tract diseases | 0.582305 |
| Addis Ababa | 0.988385 |
| verbal autopsies | 0.530933 |
| verbal autopsy questionnaire | 0.412811 |
| Mortality Surveillance Program | 0.455029 |
| overall death rates | 0.38049 |
| Addis Ababa population | 0.49409 |
| death rates | 0.426895 |
| age-specific death rate | 0.381623 |
| Addis Ababa residents | 0.532789 |
| Ethiopia | 0.368765 |
| study | 0.453291 |
|
| death | 0.62983 |
| age group | 0.418825 |
| adults | 0.421231 |
| Addis Ababa Labour | 0.470651 |
| communicable diseases | 0.682389 |
| Addis Ababa University | 0.472553 |
| death rate | 0.395994 |
| typical mortality burden | 0.371307 |
| Premature deaths | 0.44455 |
| burial surveillance | 0.544258 |
| verbal autopsy | 0.492162 |
| causes | 0.508537 |
| premature death increases | 0.373169 |
| double mortality burden | 0.591632 |
| Addis Ababa Mortality | 0.543086 |
| Ababa Mortality Surveillance | 0.512489 |
| noncommunicable diseases | 0.914211 |
| CVD deaths | 0.417503 |
| Addis Ababa cemeteries | 0.489058 |
| adult deaths | 0.442934 |
| deceased Addis Ababa | 0.495084 |
| infant deaths | 0.41306 |
| malignant neoplasm | 0.413019 |
| proportional death rates | 0.3817 |
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| 8644 |
Centers for Disease Control and Prevention |
Html |
en |
PanFlu Storybook - I Survived, Clella B. Gregory |
I Survived, The staggering statistics associated with pandemics sometimes makes it difficult to remember that each number represents a single, human life. In this section, survivors share their intimate recollections of either their own illness or that of a loved one. All these storytellers are 90-plus years of age and they have carried with them for a lifetime their memories of the 1918 flu pandemic. |
| Clella B. Gregory | 0.925989 |
| pandemic flu | 0.686613 |
| Olpha Otis | 0.683709 |
| heat | 0.359104 |
| siblings | 0.388888 |
| brothers | 0.366499 |
| father | 0.362635 |
| Claude | 0.37715 |
| church services | 0.631551 |
| crowds | 0.38474 |
| mother | 0.359643 |
| Nora Brantley | 0.755641 |
| children | 0.363917 |
| Storyteller | 0.384558 |
| livestock | 0.358441 |
| wood | 0.359159 |
| drinking water | 0.635248 |
| Ruby | 0.364135 |
|
| parents Eli | 0.758044 |
| baby Helen | 0.668477 |
| illness | 0.362977 |
| Dad | 0.48326 |
| cows | 0.369928 |
| community | 0.362532 |
| Herb | 0.372529 |
| Ina Pearl | 0.682528 |
| sick neighbors | 0.659724 |
| Floy | 0.366268 |
| schools | 0.35925 |
| doctors | 0.35772 |
| Blackford | 0.532587 |
| coal | 0.364372 |
| Bert | 0.37886 |
| family | 0.35792 |
| brother Genie | 0.681325 |
| age | 0.558228 |
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| 8819 |
Centers for Disease Control and Prevention |
Html |
en |
Building Laboratory Capacity to Support the Global RotavirusSurveillance Network |
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. |
| rotavirus surveillance activities | 0.782734 |
| rotavirus tests | 0.658443 |
| global laboratory network | 0.596598 |
| rotavirus diarrhea | 0.675426 |
| rotavirus genotypes | 0.736913 |
| regional laboratory network | 0.606595 |
| rotavirus laboratory | 0.835048 |
| standard genotyping data | 0.569975 |
| national laboratories | 0.778772 |
| Global Rotavirus Surveillance | 0.803179 |
| Global Reference Laboratory | 0.707976 |
| quality laboratory data | 0.62278 |
| data quality assurance | 0.568191 |
| national immunization programs | 0.704935 |
| laboratory surveillance networks | 0.655474 |
| rotavirus diagnosis | 0.649492 |
| World Health Organization | 0.667767 |
| rotavirus detection | 0.804904 |
| oral rotavirus vaccines | 0.756555 |
| rotavirus specimens | 0.675078 |
| regional laboratory surveillance | 0.635215 |
| global laboratory networks | 0.574136 |
| laboratory performance monitoring | 0.557744 |
| Regional Office | 0.604843 |
| individual genotypes | 0.601268 |
|
| reported absolute numbers | 0.639222 |
| global rotavirus detection | 0.72237 |
| rotavirus strain types | 0.766723 |
| Global Rotavirus Laboratory | 0.796061 |
| disease burden data | 0.636509 |
| sentinel hospital laboratories | 0.911335 |
| Rotavirus regional reference | 0.759627 |
| severe rotavirus disease | 0.697784 |
| timely rotavirus disease | 0.700958 |
| national reference laboratories | 0.58137 |
| rotavirus vaccine introduction | 0.968688 |
| proficiency testing | 0.588036 |
| rotavirus testing | 0.684797 |
| laboratory network capacities | 0.559435 |
| laboratory methods | 0.587222 |
| global surveillance network | 0.59268 |
| regional reference laboratories | 0.768979 |
| rotavirus vaccine licensure | 0.776963 |
| data collection | 0.590352 |
| clinical trial data | 0.557095 |
| regional rotavirus laboratory | 0.833563 |
| quality surveillance data | 0.605587 |
| rotavirus vaccination | 0.694192 |
| prevalent genotypes | 0.555328 |
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| 12514 |
Centers for Disease Control and Prevention |
Video |
en |
CAUTI: Definition Changes for 2015 |
This Hot Topic presentation focuses on changes to Chapter Two of the National Healthcare Safety Network Patient Safety Manual for 2015. This protocol is used for reporting to the National Healthcare Safety Network for the CMS Hospital Inpatient Quality Reporting Program.
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=a8f5c20959328d86a0461bb681695c8120141120105015687 |
|
| Definition Changes | 0.985319 |
|
CLICK HERE |
| 13071 |
Centers for Disease Control and Prevention |
Video |
null |
Screening for Colorectal Cancer: Optimizing Quality (CME). Endoscopist Version Part 2 |
Part 2 of the Endoscopist Version CME focuses on colonoscopy and includes pre-procedure considerations for ensuring that colonoscopy is appropriate, ways to achieve good bowel preparation, the elements required for complete reporting, effective communication with referring providers and patients, and monitoring quality indicators to improve performance. It is the second of two parts of a continuing education activity that provides guidance and tools for clinicians on the optimal ways to implement screening for colorectal cancer to help ensure that patients receive maximum benefit.
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/cancer/videos/colorectal/quality/Endoscopist2/CRC_Screening_Optimizing_Quality_Endoscopist2_256k.mp4 |
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CLICK HERE |
| 13201 |
Centers for Disease Control and Prevention |
Html |
en |
Announcement: CDC-Sponsored Continuing Education Courses onScreening for Colorectal Cancer |
Colorectal cancer is the second leading cancer killer in the United States. Screening for colorectal cancer saves lives, but problems with its implementation in clinical practice can reduce screening's effectiveness. |
| CDC-sponsored continuing education | 0.648923 |
| endorsement | 0.399693 |
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| leaders | 0.329283 |
| research | 0.329228 |
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| MMWR HTML versions | 0.622939 |
| primary care providers | 0.642609 |
| education credits | 0.481567 |
| physicians | 0.328979 |
| electronic PDF version | 0.602772 |
| colorectal cancer screening | 0.798357 |
| health professionals | 0.490799 |
| courses | 0.357828 |
| colorectal cancer | 0.980273 |
| lives | 0.332273 |
| Contact GPO | 0.514566 |
| maximum benefit | 0.480483 |
| patients | 0.33008 |
| commercial sources | 0.477806 |
| primary care clinicians | 0.683504 |
| current prices | 0.467503 |
| original paper copy | 0.599882 |
| problems | 0.332244 |
|
| best ways | 0.488882 |
| nationally recognized experts | 0.631776 |
| United States | 0.503722 |
| U.S. Government Printing | 0.600959 |
| clinical practice | 0.501541 |
| Superintendent | 0.334044 |
| tools | 0.330219 |
| MMWR readers | 0.484208 |
| character translation | 0.46652 |
| MMWR paper copy | 0.612345 |
| course | 0.3298 |
| format errors | 0.473712 |
| effectiveness | 0.329715 |
| colonoscopy procedures | 0.501572 |
| implementation | 0.332215 |
| typeset documents | 0.480424 |
| public health programs | 0.646845 |
| trade names | 0.477975 |
| official text | 0.463841 |
| cancer killer | 0.518773 |
| non-CDC sites | 0.475306 |
| http://www.cdc.gov/cancer/colorectal/quality | 0.329565 |
| electronic conversions | 0.466122 |
| printable versions | 0.464393 |
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| 13806 |
Centers for Disease Control and Prevention |
Html |
en |
Human Papillomavirus Vaccination Coverage Among FemaleAdolescents in Managed Care Plans - United States, 2013 |
Judy Ng, PhD1,2; Faye Ye, MS1; Lindsey Roth, MPP1; Katherine Sobel1; Sepheen Byron, MHS1; Mary Barton, MD1; Megan Lindley, MPH3; Shannon Stokley, MPH3. |
| commercial plans | 0.520603 |
| hpv vaccine | 0.715324 |
| higher performing plans | 0.361801 |
| health plans | 0.518531 |
| adolescent plan members | 0.448189 |
| Medicaid health plans | 0.440442 |
| health maintenance organizations | 0.360232 |
| HEDIS results | 0.383523 |
| Medicaid plan | 0.36152 |
| highest-performing health plans | 0.373019 |
| HPV vaccination coverage | 0.763627 |
| vaccination coverage levels | 0.447327 |
| Medicaid | 0.452506 |
| HEDIS HPV vaccination | 0.625779 |
| vaccination measure data | 0.425479 |
| clear HPV vaccination | 0.492835 |
| Female Adolescents measure | 0.411187 |
| Medicaid plans | 0.435088 |
| female adolescent members | 0.401774 |
| percentage point difference | 0.392844 |
| Low HPV vaccination | 0.487326 |
| HPV vaccination series | 0.552254 |
| routine HPV vaccine | 0.446947 |
| HPV infections | 0.486932 |
|
| commercial versus Medicaid | 0.377544 |
| HHS regions | 0.370266 |
| highest-performing commercial plans | 0.375354 |
| HEDIS HPV Vaccine | 0.555399 |
| HPV vaccination | 0.923341 |
| United States | 0.466348 |
| higher vaccination coverage | 0.401721 |
| median HPV vaccination | 0.521438 |
| U.S. health plans | 0.382159 |
| low vaccination coverage | 0.402121 |
| 3-dose HPV coverage | 0.461717 |
| HPV vaccination rates | 0.499193 |
| quadrivalent HPV vaccine | 0.45877 |
| female adolescent plan | 0.449266 |
| female adolescents | 0.519683 |
| HPV measure | 0.474897 |
| Medicaid PPOs report | 0.383762 |
| HPV vaccination measure | 0.671552 |
| persistent HPV infection | 0.473531 |
| 3-dose HPV vaccination | 0.556269 |
| Adolescents performance measure | 0.412032 |
| different plan categories | 0.359725 |
| HEDIS measures | 0.380487 |
| 13th birthday | 0.370664 |
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| 14114 |
Centers for Disease Control and Prevention |
Html |
en |
Protect Yourself & Your Family Against the Flu | CDC Features |
Each flu season, flu causes millions of illnesses, hundreds of thousands of hospitalizations and thousands or sometimes tens of thousands of deaths. Vaccination can reduce flu illnesses, doctors' visits, and missed work and school due to flu, as well as prevent flu-related hospitalizations. |
| coronary artery disease | 0.40019 |
| high risk groups | 0.409417 |
| influenza antiviral drugs | 0.408269 |
| different flu viruses | 0.754764 |
| sickle cell disease | 0.400767 |
| flu vaccines | 0.661404 |
| congestive heart failure | 0.39397 |
| Healthy people | 0.381488 |
| Body Mass Index | 0.398544 |
| metabolic disorders | 0.390248 |
| greater risk | 0.48442 |
| important steps | 0.366477 |
| risk suspect flu | 0.666126 |
| sick people | 0.379734 |
| flu illness | 0.680013 |
| flu antiviral drugs | 0.663008 |
| rare exceptions | 0.365435 |
| Chronic lung disease | 0.399711 |
| vaccine effectiveness | 0.380161 |
| his/her first dose | 0.36581 |
| high risk | 0.504643 |
| Flu activity | 0.658032 |
| flu illnesses | 0.655443 |
| obstructive pulmonary disease | 0.400393 |
|
| flu symptoms | 0.662298 |
| United States | 0.418501 |
| alcohol-based hand rub | 0.406721 |
| chronic health conditions | 0.400145 |
| flu-related deaths | 0.375502 |
| flu vaccine | 0.765501 |
| flu complications | 0.690516 |
| flu-related hospitalizations | 0.450763 |
| Flu vaccination | 0.660158 |
| everyday preventative actions | 0.400845 |
| vaccine viruses | 0.393565 |
| flu-related complications | 0.386389 |
| congenital heart disease | 0.399771 |
| prevent flu-related hospitalizations | 0.450404 |
| health care | 0.409812 |
| spinal cord injury | 0.391934 |
| long-term care facilities | 0.396429 |
| flu viruses | 0.755434 |
| people | 0.466889 |
| flu | 0.912373 |
| influenza complications | 0.365679 |
| CDC Flu Website | 0.640804 |
| best possible protection | 0.407869 |
| long-term aspirin therapy | 0.396491 |
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