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Centers for Disease Control and Prevention |
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Have a healthy and safe family reunion - CDC Features |
Make healthy living a family tradition! Plan a healthy and safe reunion with loved ones. |
| CDC.gov Current Features | 0.906892 |
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Centers for Disease Control and Prevention |
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Nitric acid - NIOSH Pocket Guide to Chemical Hazards |
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| search | 0.263099 |
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| information | 0.262482 |
| different file formats | 0.938484 |
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Centers for Disease Control and Prevention |
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Watch CDC @Work - CDC Works for You 24/7 |
Check out all the videos below to learn more about CDC’s role in detecting disease outbreaks, responding to emergencies, researching ways to help you stay healthy, and more. |
| disease detectives | 0.641272 |
| Kenya′s largest slum | 0.742063 |
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| Ebola outbreak | 0.76674 |
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| attack,CDC works | 0.639628 |
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| chronic condition | 0.633796 |
| deadly organisms | 0.640643 |
| New microbes | 0.655399 |
| molecular detection | 0.638464 |
| America’s health | 0.658122 |
| western Uganda | 0.630399 |
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| emergency medical supplies | 0.961386 |
| CDC′s role | 0.654553 |
| important act | 0.626808 |
| drug resistance | 0.632096 |
| global travel | 0.625146 |
| medical treatment | 0.644954 |
| health threats | 0.650689 |
| new ways | 0.632093 |
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| Marburg viruses | 0.62414 |
| health threat | 0.668907 |
| frontline defense | 0.634573 |
| harmful germs | 0.645987 |
| disease outbreaks | 0.724379 |
| CDC disease detective | 0.943661 |
| common germs | 0.662572 |
| healthcare-associated infections | 0.64503 |
| disease outbreak | 0.705909 |
| disease prevention | 0.643059 |
| natural disaster | 0.633242 |
| mini-documentary chronicles | 0.622574 |
| public health emergency | 0.761876 |
| public health | 0.881828 |
| LT. Kelsey Mirkovic | 0.781774 |
| CDC tracks diseases | 0.877725 |
| New CDC report | 0.909497 |
| CDC scientists | 0.772586 |
| London estimate | 0.628738 |
| entire world | 0.625792 |
| global disease threats | 0.746456 |
| environmental hazard | 0.637065 |
| African Ebola Epidemic | 0.845056 |
| exciting new technology | 0.759557 |
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CDC Confirms the 6th and 7th Cases of Swine-Origin Influenza A H3N2 Virus with 2009 H1N1 M Gene |
CDC Confirms the 6th and 7th Cases of Swine-Origin Influenza A H3N2 Virus with 2009 H1N1 M Gene. |
| cases | 0.266784 |
| avian influenza viruses | 0.520389 |
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| swine flu viruses | 0.384783 |
| influenza A viruses | 0.44948 |
| swine-origin influenza | 0.33546 |
| swine–origin influenza viruses | 0.609996 |
| seasonal human influenza | 0.395884 |
| seasonal influenza viruses | 0.530911 |
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| H1N1 virus | 0.452871 |
| swine–origin influenza | 0.879105 |
| influenza viruses | 0.967473 |
| novel influenza viruses | 0.605101 |
| weekly influenza surveillance | 0.3637 |
| human infection | 0.371594 |
| swine influenza viruses | 0.823392 |
| additional cases | 0.20916 |
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Global Health - Philippines |
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| Content source | 0.422709 |
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More than 50 CDC experts battling Ebola in Africa | PressRelease - Wednesday, August 13, 2014 | CDC Online Newsroom |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| CDC Ebola response. | 0.898284 |
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| train lab workers | 0.498058 |
| Disease Control | 0.470509 |
| U.S. Government | 0.464469 |
| community health workers. | 0.506261 |
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| Ebola audiovisual resources | 0.692138 |
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| Emergency Operations Center | 0.518307 |
| Ebola diagnostic testing | 0.691233 |
| highest level | 0.462068 |
| CDC U.S. staff | 0.71972 |
| public health experts | 0.514797 |
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| Ebola | 0.988617 |
| worldwide emergency response | 0.509427 |
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| CDC infection control | 0.664139 |
| United States | 0.493584 |
| worst Ebola outbreak | 0.739337 |
| CDC expert | 0.612734 |
| expert David Kuhar | 0.498655 |
| CDC public health | 0.672289 |
| rapid presumptive results | 0.493148 |
| support functions | 0.463982 |
| Ebola testing. | 0.660474 |
| Laboratory Response Network | 0.498977 |
| CDC personnel | 0.638121 |
| Ebola virus. | 0.647015 |
| CDC staff | 0.623271 |
| people | 0.463986 |
| Ebola efforts | 0.652634 |
| Ebola patient | 0.655017 |
| country leadership | 0.460151 |
| West Africa | 0.714345 |
| outbreak information | 0.462344 |
| Ebola transmission. CDC | 0.875095 |
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NCIRD | DBD Bulletin Spring 2013 | Global Activities Update |
Division of Bacterial Diseases Bulletin Winter |
| breakout session | 0.423763 |
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| list Skip | 0.747905 |
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| historical purposes | 0.426183 |
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| Global HIV/AIDS | 0.405396 |
| Cynthia Whitney | 0.42228 |
| annual CDC DGHA | 0.810222 |
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Centers for Disease Control and Prevention |
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Increases in Smoking Cessation Interventions After aFeedback and Improvement Initiative Using Electronic Health Records- 19 Community Health Centers, New York City, October 2010-March2012 |
Sheryl L. Silfen, MD1, Shannon M. Farley, MPH1, Sarah C. |
| smoking cessation interventions | 0.703025 |
| clinical cessation interventions | 0.647591 |
| Human Services | 0.513473 |
| evidence-based cessation treatments | 0.574768 |
| better smoking status | 0.491554 |
| targeted training interventions | 0.485172 |
| mean proportion | 0.497803 |
| cessation interventions | 0.905108 |
| New York City | 0.575108 |
| cessation medications | 0.61284 |
| higher smoking prevalence | 0.496909 |
| tobacco cessation | 0.52227 |
| observed smoking rates | 0.494905 |
| smoking status | 0.709663 |
| health care providers | 0.617401 |
| New York State | 0.544747 |
| patients | 0.490902 |
| individual health care | 0.487339 |
| high smoking prevalence | 0.486681 |
| CHCs | 0.621478 |
| clinical smoking cessation | 0.572949 |
| mean documented smoking | 0.534409 |
| smoking status documentation | 0.580719 |
| Primary Care Information | 0.502154 |
| individual CHCs | 0.494386 |
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| specific cessation interventions | 0.556872 |
| Care Information Project | 0.502865 |
| smoking prevalence | 0.544349 |
| comprehensive cessation benefit.¶ | 0.518491 |
| York State quitline | 0.544761 |
| systematic clinical interventions | 0.49172 |
| evidence-based cessation assistance | 0.51589 |
| cessation interventions.§§ | 0.495022 |
| smokers | 0.619576 |
| health care policymakers | 0.482341 |
| health care | 0.655458 |
| health care systems | 0.484531 |
| New York | 0.607441 |
| initiative | 0.502654 |
| baseline smoking rates | 0.552119 |
| EHRs | 0.530914 |
| FDA-approved cessation medications | 0.517912 |
| additional cessation intervention | 0.544981 |
| electronic health records | 0.60214 |
| community health centers | 0.555883 |
| incentive payments | 0.500866 |
| tobacco control interventions | 0.497158 |
| health systems cessation | 0.530346 |
| primary care | 0.524533 |
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Sports Concussion Policies and Laws |
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| youth athletics | 0.71673 |
| Washington law | 0.729572 |
| concussion histories | 0.815485 |
| state law | 0.729262 |
| specific entity | 0.70044 |
| promise | 0.54099 |
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| research | 0.540373 |
| following areas | 0.69285 |
| different stakeholders | 0.750999 |
| potential barriers | 0.699784 |
| children | 0.540158 |
| Zackery Lystedt Law | 0.94463 |
| robust planning process | 0.858168 |
| National Center | 0.716639 |
| action plans | 0.743761 |
| issue | 0.540201 |
| policy efforts | 0.750959 |
| key considerations | 0.711347 |
| coaches | 0.540255 |
| schools | 0.540978 |
| state agency | 0.701424 |
| concussion management | 0.849635 |
| stakeholder groups | 0.723441 |
| different components | 0.698683 |
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| parents | 0.540233 |
| Injury Prevention | 0.716461 |
| policies | 0.540881 |
| NCIPC | 0.558793 |
| Play laws | 0.874101 |
| youth athletes | 0.71447 |
| Massachusetts | 0.570575 |
| clearance | 0.539962 |
| implementers | 0.545302 |
| early adopters | 0.724993 |
| 50 states | 0.720718 |
| Return | 0.991685 |
| state stakeholders | 0.748063 |
| strategies | 0.540298 |
| case study evaluation | 0.891412 |
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| specific guidance | 0.694777 |
| important dimensions | 0.710238 |
| implementation efforts | 0.895408 |
| brain injuries | 0.733134 |
| high school sports | 0.941046 |
| removal | 0.574227 |
| organizations | 0.540913 |
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Brucellosis | Risk of Exposure |
Information on the risk of exposure to brucellosis infection. |
| settings | 0.22956 |
| Wildlife Services | 0.564475 |
| unpasteurized milk | 0.807431 |
| occupations | 0.284258 |
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| mothers | 0.237064 |
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| exposure | 0.221952 |
| United States Department | 0.971575 |
| brucellosis | 0.946628 |
| Plant Health Inspection | 0.962075 |
| dairy products | 0.627545 |
| increased risk | 0.5961 |
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