| 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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Centers for Disease Control and Prevention |
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WARNING: Cigarettes cause cancer. |
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| right web address | 0.987879 |
| Español | 0.403508 |
| Language Assistance | 0.712207 |
| Português | 0.391584 |
| Kreyòl Ayisyen | 0.700648 |
| Instructions | 0.282468 |
| different file formats | 0.919531 |
| Tiếng Việt | 0.70734 |
| Deutsch | 0.348548 |
| help | 0.283342 |
|
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| Polski | 0.39029 |
| Tagalog | 0.362008 |
| options | 0.298124 |
| Français | 0.385004 |
| Downloading Viewers | 0.795919 |
| العربية | 0.436655 |
| information | 0.283148 |
| page | 0.385868 |
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| 7275 |
Centers for Disease Control and Prevention |
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Infant Lead Poisoning Associated with Use of Tiro, an Eye Cosmetic from Nigeria - Boston, Massachusetts, 2011 |
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. |
| Infantile lead poisoning | 0.571574 |
| Environmental Health Svcs | 0.518789 |
| lead hazards | 0.519678 |
| venous BLL | 0.574095 |
| visual development | 0.55728 |
| Nigerian tiro container | 0.696462 |
| potential lead exposure | 0.579584 |
| Disease Control | 0.533026 |
| children | 0.545374 |
| elevated blood lead | 0.660262 |
| P. Lead poisoning | 0.57483 |
| lead sulfide | 0.632113 |
| nonpaint lead sources | 0.650145 |
| tiro eye | 0.619077 |
| elevated BLLs | 0.597557 |
| relatively low bioavailability | 0.574675 |
| Environmental Health Specialty | 0.608555 |
| tiro powder | 0.624155 |
| lead poisoning | 0.925168 |
| blood lead testing | 0.604707 |
| U.S. Geological Survey | 0.568738 |
| take-home exposure | 0.517992 |
| lead exposure | 0.744994 |
| certain immigrant populations | 0.849896 |
|
| fatal childhood lead | 0.543914 |
| similar products | 0.584501 |
| lead poisoning cases | 0.647333 |
| male infant | 0.57643 |
| tiro | 0.887535 |
| Nigerian descent | 0.522913 |
| United States | 0.665214 |
| Pediatric Environmental Health | 0.602599 |
| confirmatory venous BLL | 0.535345 |
| Middle East | 0.594428 |
| adverse health effects | 0.518426 |
| Boston Children | 0.52301 |
| public health | 0.702834 |
| Health Specialty Unit | 0.609068 |
| public health workers | 0.594384 |
| eye cosmetic powder | 0.548862 |
| eyelids | 0.521425 |
| Nigerian eye cosmetic | 0.526955 |
| blood lead level | 0.651087 |
| significant lead exposure | 0.577997 |
| Nigeria Centre | 0.534935 |
| childhood lead poisoning | 0.637301 |
| lead-poisoned child | 0.554703 |
| PEHSU staff members | 0.521458 |
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| 9908 |
Centers for Disease Control and Prevention |
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en |
What Is Prostate Cancer? |
Cancer is a disease in which cells in the body grow out of control. When cancer starts in the prostate, it is called prostate cancer. |
| American men | 0.413689 |
| testicles | 0.274394 |
| semen | 0.254556 |
| skin cancer | 0.394752 |
| disease | 0.25078 |
| control | 0.25046 |
| prostate changes | 0.64064 |
| urethra | 0.360977 |
| body | 0.250588 |
| walnut | 0.252513 |
|
| prostate cancer | 0.770672 |
| common cancer | 0.393753 |
| cells | 0.256124 |
| urine flow | 0.438307 |
| size | 0.287949 |
| bladder | 0.335982 |
| man ages | 0.408501 |
| prostate | 0.935326 |
| rectum | 0.274527 |
| penis | 0.266149 |
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| 10219 |
Centers for Disease Control and Prevention |
Html |
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Prevent Illness from Food and Water After Hurricane or Flood'Hurricanes |
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| 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 |
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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 |
Html |
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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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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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Centers for Disease Control and Prevention |
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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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