| 5168 |
Centers for Disease Control and Prevention |
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New York Activities to Prevent HAIs |
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| Injection Safety | 0.771593 |
| Provide Infection Prevention | 0.664368 |
| Laboratory Network | 0.522662 |
| Healthcare-associated Infections | 0.514349 |
| Antimicrobial Resistance Regional | 0.670839 |
| HAI Detection | 0.620645 |
| email address | 0.629042 |
| CDI | 0.428859 |
| Control Assistance | 0.508776 |
| navigation Skip | 0.649962 |
| recent work | 0.630475 |
| Clostridium difficile infection | 0.688757 |
| Appropriate Antibiotic | 0.536346 |
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| list Skip | 0.651889 |
| monthly update | 0.642833 |
| page options Skip | 0.767254 |
| Coordinated Prevention | 0.544769 |
| Infection Control Assessment | 0.669574 |
| ELC HAI-funded Activities | 0.651671 |
| Health Department Capacity | 0.613914 |
| Antimicrobial Resistance | 0.682041 |
| infectious disease | 0.645601 |
| Laboratory Capacity | 0.535087 |
| information | 0.419665 |
| HAI Prevention Infrastructure | 0.941271 |
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Html |
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Monocrotophos - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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Centers for Disease Control and Prevention |
Html |
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o-sec-Butylphenol - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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Questions to Ask Your Doctor About Colorectal Cancer Screening |
Questions you should ask your doctor about colorectal (colon) cancer screening tests if you are age 50 or older or are at higher than normal risk. |
| benefits | 0.321636 |
| Task Force | 0.433724 |
| sigmoidoscopy | 0.336742 |
| U.S. Preventive Services | 0.547092 |
| colorectal polyps | 0.553966 |
| screening tests | 0.470446 |
| adults | 0.324333 |
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| colorectal cancer screening | 0.683974 |
| genetic syndromes | 0.415595 |
| increased risk | 0.432527 |
| colonoscopy | 0.330942 |
| Lynch syndrome | 0.412165 |
| hereditary non-polyposis colorectal | 0.623421 |
| colorectal cancer | 0.963346 |
|
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| decision | 0.323279 |
| people | 0.36175 |
| inflammatory bowel disease | 0.510476 |
| doctor | 0.407154 |
| risks | 0.321823 |
| individual basis | 0.432031 |
| FAP | 0.334094 |
| screening test | 0.461926 |
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| doctors | 0.321496 |
| screening methods | 0.473277 |
| insurance plan | 0.411852 |
| familial adenomatous polyposis | 0.520796 |
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Html |
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Meningococcal | Surveillance | CDC |
Meningococcal disease is a reportable condition in all states, with cases immediately reported to state health departments. CDC closely tracks meningococcal disease through the National Notifiable Disease Surveillance System and Active Bacterial Core surveillance. |
| CDC | 0.309783 |
| jurisdiction health departments | 0.384498 |
| data | 0.315372 |
| Bacterial Core surveillance | 0.387614 |
| Page | 0.316709 |
| number | 0.308524 |
| children | 0.316847 |
| Gram-negative diplococci | 0.347597 |
| state health departments | 0.3868 |
| HIV status | 0.344181 |
| historic lows | 0.358694 |
| View meningococcal disease | 0.554147 |
| meningococcal surveillance. | 0.506836 |
| positive blood culture | 0.38178 |
| normally sterile body | 0.454493 |
| meningococcal disease | 0.951832 |
| serogroup | 0.364428 |
| late 1990s | 0.35221 |
| young adults | 0.349458 |
| adolescence | 0.310005 |
| Territorial Epidemiologists | 0.349908 |
| college attendance | 0.344466 |
| Tracking | 0.309209 |
| proportion | 0.310254 |
|
| United States | 0.441314 |
| age group | 0.348049 |
| absence | 0.308782 |
| total cases | 0.355886 |
| reportable condition | 0.352473 |
| recent Council | 0.345331 |
| case counts | 0.345399 |
| CSF | 0.326537 |
| health departments | 0.446761 |
| polymerase chain reaction | 0.386176 |
| meningococcal disease surveillance | 0.55956 |
| cases | 0.361411 |
| Serogroups | 0.308024 |
| Notifiable Diseases Surveillance | 0.390251 |
| meningococcal conjugate vaccines | 0.558199 |
| case classification | 0.344934 |
| highest rates | 0.350526 |
| implement control measures | 0.398277 |
| sterile body site | 0.449861 |
| vaccination history | 0.345771 |
| isolates | 0.311179 |
| meningitidis-specific nucleic acid | 0.38434 |
| incidence | 0.316605 |
| Clinical purpura fulminans | 0.385717 |
|
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Centers for Disease Control and Prevention |
Html |
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Disseminate |
The disciplines of communication and social marketing, as well as translational research, could contribute significantly to more effective dissemination. |
| effective research | 0.450844 |
| habits | 0.234764 |
| NIH Program Announcement | 0.7288 |
| NIH Annual Conferences | 0.744745 |
| Science | 0.229755 |
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| NIH National Cancer | 0.927447 |
| social marketing | 0.402969 |
| Advances | 0.235635 |
| Effective Promotion | 0.392461 |
| R01 | 0.262484 |
| AHRQ Recovery Act | 0.615339 |
| pages | 0.230767 |
| Kaiser Permanente Colorado | 0.56541 |
| KB | 0.243397 |
| National Cancer Institute | 0.546218 |
| translational research | 0.46751 |
| communication | 0.232106 |
| Health Research | 0.448309 |
| Healthcare Research | 0.56251 |
| Original research | 0.474488 |
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| public health | 0.467111 |
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| prevention | 0.235743 |
| effective dissemination | 0.625935 |
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| Public Awareness | 0.399199 |
| National Cancer Institutes | 0.54698 |
| large segments | 0.426279 |
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| Awards | 0.230293 |
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| evidence-based interventions | 0.419114 |
| AHRQ Best Practices | 0.609439 |
| complete text | 0.395553 |
| decades | 0.240223 |
| information | 0.231003 |
| Comparative Quality Reports | 0.549819 |
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Centers for Disease Control and Prevention |
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CDC update on first Ebola case diagnosed in the United States: 10-03-2014 | Media Advisory | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
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| CDC director | 0.786154 |
| Non-Media | 0.484067 |
| MPH | 0.456824 |
| United States | 0.647889 |
| telebriefing | 0.474799 |
| Beth P. Bell | 0.851305 |
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| MD | 0.43982 |
| PASSCODE | 0.478187 |
| Zoonotic Infectious Diseases | 0.874319 |
| Important Instructions | 0.639577 |
| dial | 0.444816 |
| National Center | 0.644468 |
| website | 0.444591 |
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| M.D | 0.437426 |
| list Skip | 0.864733 |
| CDC Media | 0.734787 |
| question | 0.523798 |
| page options Skip | 0.991142 |
| Commissioner | 0.44879 |
| touchtone phone | 0.652432 |
| p.m. | 0.439002 |
| Texas Department | 0.634524 |
| Ebola Virus | 0.678371 |
| West Africa | 0.669605 |
| investigation | 0.44026 |
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| visit | 0.439696 |
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| David Lakey | 0.688557 |
| INTERNATIONAL | 0.439987 |
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Video |
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October 2013 ACIP Meeting -- Vaccine Supply |
Vaccine supply update 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=60aaea444bbc2b7e07f4cabd5832b56920140110114625308 |
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Notes from the Field: Meningococcal Disease Among Men WhoHave Sex with Men - United States, January 2012-June 2015 |
Hajime Kamiya, MD, PhD1; Jessica MacNeil, MPH2; Amy Blain, MPH2; Manisha Patel, MD2; Stacey Martin, MS2; Don Weiss, MD3; Stephanie Ngai, MPH3; Ifeoma Ezeoke, MPH3; Laurene Mascola, MD4; Rachel Civen, MD4; Van Ngo, MPH4; Stephanie Black, MD5; Sarah Kemble, MD5; Rashmi Chugh, MD6; Elizabeth Murphy, MPH6; Colette Petit6; Kathleen Harriman, PhD7; Kathleen Winter, MPH7; Andrew Beron, MPH8; Whitney Clegg, MD8; Craig Conover MD8; Lara Misegades, PhD2. |
| County Health Department | 0.482633 |
| CDC | 0.451882 |
| Los Angeles County | 0.664581 |
| City health department | 0.494643 |
| greater Chicago area | 0.473735 |
| meningococcal case report | 0.541175 |
| MSM populations | 0.573681 |
| New York City | 0.746339 |
| Chicago Department | 0.474363 |
| 4Los Angeles County | 0.462394 |
| state health departments | 0.563543 |
| HIV status | 0.505816 |
| meningococcal infection | 0.529221 |
| risk factors | 0.459189 |
| case report form | 0.460734 |
| Meningococcal vaccination status | 0.548151 |
| public health officials | 0.481368 |
| Chicago cases | 0.450909 |
| gel electrophoresis data | 0.459267 |
| meningococcal disease | 0.969429 |
| 3New York City | 0.464166 |
| Angeles County Department | 0.527076 |
| public health response | 0.485065 |
| human immunodeficiency virus | 0.464911 |
| national meningococcal case | 0.552799 |
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| York City cases | 0.481445 |
| 1Epidemic Intelligence Service | 0.459082 |
| meningococcal surveillance | 0.514171 |
| HIV-infected MSM | 0.578327 |
| United States | 0.506987 |
| meningococcal disease cases | 0.670649 |
| secure communications network | 0.464143 |
| National Notifiable Disease | 0.475356 |
| Jessica MacNeil | 0.472149 |
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| health departments | 0.60493 |
| meningococcal disease rates | 0.551163 |
| MSM status | 0.705738 |
| public health | 0.614785 |
| quadrivalent meningococcal vaccine | 0.54182 |
| sporadic cases | 0.477549 |
| individual e-mail correspondence | 0.461951 |
| MSM | 0.843446 |
| Angeles County cases | 0.479573 |
| meningococcal serogroup | 0.54996 |
| York City Department | 0.52783 |
| potential risk factors | 0.456455 |
| Rashmi Chugh | 0.442203 |
| case review period | 0.46427 |
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Opioid Overdose State Data |
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| drug overdose deaths | 0.651659 |
| North Carolina | 0.200873 |
| Rhode Island | 0.400119 |
| New York | 0.208425 |
| drug overdose death | 0.825415 |
| Multiple Cause Mortality | 0.356814 |
| statistically significant increases | 0.428164 |
| main driver | 0.232302 |
| significant increases | 0.438163 |
| drug overdose | 0.971761 |
| National Vital Statistics | 0.351366 |
| highest rates | 0.215317 |
|
| Wide-ranging Online Data | 0.359936 |
| New Jersey | 0.208693 |
| West Virginia | 0.397181 |
| overdose death rates | 0.828677 |
| South Census Regions | 0.375626 |
| opioid overdoses | 0.262924 |
| New Hampshire | 0.386334 |
| nonfatal injury | 0.215231 |
| public health professionals | 0.348666 |
| Epidemiologic Research | 0.208003 |
| public health information | 0.341414 |
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