| 1179 |
Centers for Disease Control and Prevention |
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Influenza Activity - United States, 2013-14 Season andComposition of the 2014-15 Influenza Vaccines |
Scott Epperson, MPH1, Lenee Blanton, MPH1, Krista Kniss, MPH1, Desiree Mustaquim, MPH1, Craig Steffens, MPH1, Teresa Wallis, MS1, Rosaline Dhara, MPH1, Michelle Leon, MPH1, Alejandro Perez, MPH1, Sandra S. Chaves, MD1, Anwar Abd Elal1, Larisa Gubareva, MD1, Xiyan Xu, MD1, Julie Villanueva, PhD1, Joseph Bresee, MD1, Nancy Cox, PhD1, Lyn Finelli, DrPH1, Lynnette Brammer, MPH1 (Author affiliations at end of text). |
| influenza | 0.982593 |
| influenza hospitalization surveillance | 0.709892 |
| CDC influenza surveillance | 0.592115 |
| widespread influenza activity | 0.607919 |
| United States | 0.656116 |
| influenza vaccination coverage | 0.585367 |
| novel influenza | 0.664618 |
| avian influenza viruses | 0.625409 |
| influenza A viruses | 0.667064 |
| seasonal influenza viruses | 0.626788 |
| influenza B component | 0.594913 |
| influenza antiviral medications | 0.643248 |
| influenza B viruses | 0.778778 |
| Hemisphere influenza vaccines | 0.658715 |
| influenza activity* | 0.608937 |
| influenza B activity | 0.640063 |
| variant influenza | 0.604666 |
| weekly influenza activity | 0.609012 |
| predominant influenza | 0.594582 |
| influenza A virus | 0.676594 |
| laboratory-confirmed influenza | 0.641418 |
| laboratory-confirmed influenza case | 0.584842 |
| Influenza surveillance reports | 0.591323 |
|
| severe influenza illness | 0.584473 |
| influenza season | 0.793294 |
| novel influenza virus | 0.602256 |
| influenza activity | 0.747947 |
| influenza vaccines | 0.678291 |
| quadrivalent influenza vaccines | 0.607157 |
| influenza virus infections | 0.643499 |
| regional influenza activity | 0.609875 |
| Northern Hemisphere influenza | 0.655729 |
| influenza virus specimens | 0.650342 |
| influenza virus circulation | 0.608089 |
| influenza seasons | 0.585508 |
| laboratory-confirmed influenza virus | 0.616301 |
| influenza type | 0.58169 |
| influenza hospitalizations | 0.586058 |
| Hemisphere quadrivalent influenza | 0.602367 |
| fewer influenza | 0.605375 |
| influenza viruses | 0.751666 |
| mixed influenza | 0.581733 |
| influenza virus surveillance | 0.628294 |
| influenza B virus | 0.622817 |
| influenza virus | 0.767587 |
| additional Influenza Hospitalization | 0.588993 |
|
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| 8816 |
Centers for Disease Control and Prevention |
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Impact of a Shortage of First-Line AntituberculosisMedication on Tuberculosis Control - United States,2012-2013 |
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. |
| latent TB infection | 0.463961 |
| treatment | 0.41351 |
| INH | 0.757511 |
| CDC | 0.231547 |
| United States | 0.434096 |
| TB therapy | 0.287319 |
| FDA drug shortage | 0.235461 |
| local TB programs | 0.558054 |
| TB control efforts | 0.434833 |
| mg INH formulation | 0.206605 |
| TB case prevention | 0.331732 |
| drug shortages | 0.200515 |
| TB transmission | 0.392276 |
| alternative LTBI treatment | 0.244502 |
| potential INH shortage | 0.27424 |
| National Tuberculosis Controllers | 0.235242 |
| TB treatment practices | 0.396721 |
| active TB disease | 0.371381 |
| TB control activities | 0.334394 |
| drug treatment regimens | 0.236432 |
|
| alternative regimens | 0.207979 |
| Global Drug Facility | 0.337396 |
| U.S. TB control | 0.336624 |
| state TB programs | 0.466517 |
| public health | 0.253775 |
| TB control programs | 0.73086 |
| INH shortage | 0.7056 |
| TB Prevention | 0.296205 |
| mg tablets | 0.331772 |
| INH supply | 0.241169 |
| drugs | 0.23082 |
| LTBI treatment | 0.369644 |
| TB cases | 0.346134 |
| Treatment Action Group | 0.230758 |
| TB | 0.987967 |
| anti-TB medications | 0.293513 |
| TB Drug Shortage | 0.464545 |
| U.S. drug shortage | 0.241157 |
| TB control | 0.824567 |
| first-line treatment regimens | 0.268399 |
|
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| 10219 |
Centers for Disease Control and Prevention |
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Prevent Illness from Food and Water After Hurricane or Flood'Hurricanes |
null |
| typhoons | 0.450001 |
| injuries | 0.400141 |
| high tidal waves | 0.963398 |
| flooding | 0.435299 |
| hurricane | 0.402652 |
| water | 0.375881 |
| food | 0.376121 |
|
| high winds | 0.707806 |
| cyclones | 0.431519 |
| tropical storms | 0.746931 |
| world | 0.381241 |
| heavy rain | 0.732409 |
| hurricanes | 0.722042 |
|
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| 10556 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Global Health - Stories - Lymphatic filariasis: Komi's Story |
CDC works 24/7 to save lives, reduce disease, and improve health around the world. |
| country | 0.559295 |
| Komi | 0.757595 |
| CDC | 0.581781 |
| scrotum | 0.521788 |
| NTD program | 0.59405 |
| daily struggles | 0.587566 |
| Global Health Initiative | 0.651058 |
| enormous suffering | 0.58701 |
| following story | 0.594009 |
| poorest people | 0.59253 |
| Disease Control | 0.583981 |
| NTD prevalence | 0.601066 |
| United States Agency | 0.649213 |
| mass drug administration | 0.65193 |
| Doufelgou district | 0.59853 |
| patients | 0.526036 |
| real experiences | 0.586586 |
| Pouda | 0.516885 |
| lymphatic filariasis | 0.597422 |
| symptoms | 0.530298 |
| training dispensary workers | 0.656593 |
| MDA interventions | 0.585649 |
| real people | 0.599951 |
| Neglected Tropical Diseases | 0.656519 |
| programs | 0.541882 |
|
| considerable effect | 0.57972 |
| at-risk populations | 0.581951 |
| stigma | 0.517248 |
| limbs | 0.516494 |
| International Development | 0.579734 |
| sustainable surveillance | 0.577146 |
| NTDs | 0.63812 |
| African countries | 0.580426 |
| world | 0.533334 |
| treatment drugs | 0.57835 |
| land | 0.53403 |
| substantial impact | 0.576776 |
| village | 0.51689 |
| Togolese program staff | 0.651166 |
| MOH | 0.578244 |
| disfigurement | 0.519878 |
| USAID | 0.516742 |
| child health | 0.577674 |
| lymphedema management | 0.589588 |
| LF program components | 0.819103 |
| oldest children | 0.593565 |
| money | 0.515853 |
| West Africa | 0.596272 |
| cognitive development | 0.574763 |
|
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| 12486 |
Centers for Disease Control and Prevention |
Video |
en |
October 2013 ACIP Meeting -- Meningococcal Vaccine |
Introduction by Dr. L Rubin. Immunogenicity and safety of MenACWY-CRM by Dr. P Dull. GRADE (grading of evidence) for MenACWY-CRM by Dr. E Briere. Use of MenACWY-CRM for high-risk infants by Dr. J MacNeil. Vaccines for Children by Dr. J Santoli.
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=c89f64335592b5770af8db0db9db8f6e20140110102952020 |
| Meningococcal Vaccine | 0.919855 |
|
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| 12745 |
Centers for Disease Control and Prevention |
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Outbreaks of Avian Influenza A H5N2, H5N8, and H5N1Among Birds - United States, December 2014-January 2015 |
On February 3, 2015, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| reports | 0.432549 |
| possible human infections | 0.553238 |
| ILI | 0.512093 |
| HPAI H5 detections | 0.667005 |
| recent contact | 0.481333 |
| northwestern states | 0.485125 |
| North America | 0.492234 |
| U.S. Department | 0.564973 |
| cautious approach | 0.489396 |
| MMWR Early Release | 0.584836 |
| CDC. 2Animal | 0.482458 |
| HPAI H5-infected birds | 0.568991 |
| Plant Health Inspection | 0.551468 |
| http://www.cdc.gov/mmwr | 0.417191 |
| National Center | 0.482628 |
| PhD2 | 0.417042 |
| HPAI H5 | 0.906117 |
| backyard flocks | 0.584787 |
| Michael A. Jhung | 0.748801 |
| Corresponding author | 0.480404 |
| exposure | 0.45695 |
| likelihood | 0.417319 |
| severe disease | 0.484972 |
| dead birds | 0.49462 |
|
| human infection | 0.581666 |
| domestic birds | 0.504724 |
| HPAI H5 virus | 0.77467 |
| wild aquatic birds | 0.570111 |
| Fort Collins | 0.47957 |
| United States | 0.490243 |
| avian influenza viruses | 0.72682 |
| captive wild birds | 0.572411 |
| influenza-like illness | 0.483774 |
| State health departments | 0.549542 |
| MMWR website | 0.499945 |
| influenza antiviral prophylaxis | 0.741739 |
| state health department | 0.54557 |
| Agriculture | 0.430609 |
| HPAI H5 viruses | 0.801464 |
| pathogenic* avian influenza | 0.643141 |
| Author affiliations | 0.497953 |
| http://www.cdc.gov/flu/avianflu/guidance-exposed-persons.htm) guidance | 0.481726 |
| public health workers | 0.553179 |
| H5N1 | 0.477883 |
| Deborah I. Nelson | 0.579913 |
| report | 0.417246 |
| Respiratory Disease | 0.482328 |
| MD1 | 0.417066 |
|
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| 13544 |
Centers for Disease Control and Prevention |
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HPV and Latino Health | CDC Features |
Learn how Latinos and all racial and ethnic groups can reduce their risk of HPV. |
| young women | 0.357671 |
| routine screening | 0.350965 |
| sexually transmitted infection | 0.509572 |
| health care provider | 0.402353 |
| throat cancer | 0.366047 |
| Unvaccinated women | 0.355846 |
| health issues | 0.358461 |
| sexually active men | 0.412786 |
| Health Promotion | 0.351767 |
| Hispanic women | 0.357528 |
| U.S. teens | 0.350554 |
| ethnic groups | 0.410457 |
| Puerto Rican Adolescents | 0.398362 |
| different virus | 0.358033 |
| oral sex | 0.356324 |
| similar concerns | 0.35135 |
| commonly diagnosed cancer | 0.407475 |
| commonly cause cancer | 0.400993 |
| cervical cancer | 0.600999 |
| health problems | 0.516883 |
| HPV infections | 0.65068 |
| higher rates | 0.353592 |
| Chronic Disease | 0.401044 |
| unvaccinated girls | 0.350748 |
| women | 0.375926 |
|
| multiple sexual partners | 0.397917 |
| Puerto Rico | 0.395331 |
| HPV vaccination | 0.65458 |
| United States | 0.355619 |
| Hispanic populations | 0.351506 |
| HPV vaccine | 0.810604 |
| HPV vaccination.3,4,5 | 0.558224 |
| HPV | 0.945206 |
| prior sex partners | 0.390906 |
| genital warts | 0.408668 |
| lifetime sex partner | 0.389152 |
| Human papillomavirus | 0.363334 |
| sexually transmitted infections | 0.413136 |
| ethnic groups.1 | 0.354606 |
| National Immunization Survey-Teen | 0.394523 |
| HPV vaccine series | 0.699035 |
| condom—so condoms | 0.350278 |
| complete HPV vaccine | 0.605066 |
| regular cancer screenings | 0.401548 |
| infected person | 0.353626 |
| Chronic Disease Prevention | 0.386377 |
| HPV infection | 0.730333 |
| little knowledge | 0.352294 |
| oropharyngeal cancer | 0.363404 |
|
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| 15441 |
Centers for Disease Control and Prevention |
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Screening of Blood Donations for Zika Virus Infection -Puerto Rico, April 3-June 11, 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| blood donors | 0.586259 |
| substantial proportion | 0.489649 |
| transfusion-transmitted Zika virus | 0.554276 |
| Zika virus screening | 0.619089 |
| transfusion transmission | 0.533612 |
| high infection incidence | 0.50896 |
| Zika virus | 0.950123 |
| relatively small proportion | 0.484369 |
| individual blood donation | 0.498991 |
| virus response blood | 0.54574 |
| active mosquito-borne transmission | 0.493341 |
| U.S. blood supply | 0.503485 |
| Roche Molecular Systems | 0.481175 |
| pathogen-reduction technology | 0.478771 |
| Puerto Rico population | 0.519531 |
| apheresis platelets | 0.491433 |
| Zika virus disease | 0.538598 |
| Molecular Systems | 0.482327 |
| nucleic acid | 0.588284 |
| chikungunya virus data | 0.54492 |
| investigational new drug | 0.48229 |
| blood donations | 0.587548 |
| blood safety | 0.53491 |
| local blood collections | 0.509703 |
| Aedes aegypti | 0.502239 |
|
| unaffected areas | 0.490301 |
| Puerto Rico | 0.786134 |
| United States | 0.533335 |
| community mosquito control | 0.477118 |
| locally collected units | 0.485294 |
| Drug Administration | 0.483605 |
| chikungunya virus | 0.596126 |
| nucleic acid test | 0.496137 |
| blood units | 0.494105 |
| general population | 0.486069 |
| continental United States | 0.48211 |
| presumptive viremic donors | 0.491199 |
| unaffected U.S. areas | 0.502751 |
| locally collected blood | 0.575153 |
| presumptive viremic donor | 0.48998 |
| highest weekly incidence | 0.486081 |
| blood donor population | 0.523119 |
| Blood safety concerns | 0.517837 |
| local mosquito-borne transmission | 0.492923 |
| blood supply | 0.533674 |
| West Nile virus | 0.522238 |
| immunoglobulin M antibody | 0.48168 |
| nucleic acid tests | 0.488152 |
| initial reactive result | 0.476588 |
|
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| 15567 |
Centers for Disease Control and Prevention |
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National Diabetes Prevention Program (NDPP) |
National Diabetes Prevention Program |
| lifestyle change class | 0.292673 |
| covered health benefit | 0.228611 |
| CDC-recognized lifestyle change | 0.984366 |
|
| lifestyle change program | 0.811492 |
| health care costs | 0.230272 |
|
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Centers for Disease Control and Prevention |
Html |
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For Professionals |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| insecticide resistance testing | 0.897231 |
| CDC | 0.411879 |
| locally acquired case | 0.927197 |
| data | 0.402897 |
| United States | 0.559591 |
| professionals | 0.360891 |
| accurate knowledge | 0.453561 |
| Zika virus | 0.567279 |
| larvae | 0.33386 |
| MosquitoNET website | 0.440241 |
| Epidemiology | 0.33102 |
| ELC recipients | 0.764358 |
| local populations | 0.480457 |
| infected people | 0.467118 |
| ArboNET. Learn | 0.446716 |
| Cooperative Agreement funds | 0.591428 |
|
| transmission cycle | 0.459111 |
| mosquito collection | 0.565046 |
| mosquitoes | 0.457343 |
| dengue virus infection | 0.678879 |
| vector control | 0.463245 |
| chikungunya | 0.356138 |
| mosquito pools | 0.576047 |
| Aedes albopictus | 0.508756 |
| vectors | 0.369924 |
| Laboratory Capacity | 0.459284 |
| activities | 0.328869 |
| Infectious Diseases | 0.459734 |
| travel-related case | 0.476666 |
| vector surveillance | 0.463686 |
| densities | 0.342412 |
|
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