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Centers for Disease Control and Prevention |
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Flu Vaccine Effectiveness Estimates for 2013-14 Season |
Answers to common questions about flu vaccine effectiveness for the 2013-14 season - CDC |
| H1N1 influenza virus | 0.336275 |
| CDC | 0.562965 |
| Mortality Weekly Report | 0.258731 |
| different times | 0.20372 |
| United States | 0.297942 |
| flu vaccine | 0.923449 |
| Influenza Vaccine Effectiveness | 0.511352 |
| Hospitalizations Averted | 0.214068 |
| CDC experts | 0.294762 |
| seasonal vaccine effectiveness | 0.435147 |
| predominantly circulating influenza | 0.31965 |
| H1N1 virus | 0.370142 |
| CDC website | 0.291005 |
| different age groups | 0.268886 |
| public health benefit | 0.251961 |
| flu vaccination | 0.357803 |
| influenza-associated medical visits | 0.260775 |
| public health | 0.270931 |
| 2013-14 influenza vaccine | 0.457153 |
|
| estimates | 0.224898 |
| 2013-14 season | 0.579472 |
| flu-like symptoms | 0.204919 |
| flu seasons | 0.354081 |
| Influenza Illnesses | 0.23219 |
| flu illness | 0.418245 |
| moderate effectiveness | 0.225236 |
| specific flu viruses | 0.462226 |
| Public health experts | 0.254395 |
| age groups | 0.281276 |
| influenza vaccination | 0.237443 |
| vaccine effectiveness | 0.861468 |
| health care practitioners | 0.268316 |
| influenza virus | 0.389248 |
| 2009 influenza pandemic | 0.32013 |
| flu season | 0.607733 |
| predominant influenza virus | 0.3438 |
| confidence intervals | 0.260345 |
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Centers for Disease Control and Prevention |
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Chronic disease risk factors among Alaska Native and American Indian people, Alaska, 2004-2006 |
null |
| Research Towards Health | 0.40086 |
| study participants | 0.546618 |
| data | 0.40661 |
| American Indian participants | 0.368512 |
| high LDL cholesterol | 0.459615 |
| Strong Heart Study | 0.363428 |
| chronic disease risk | 0.567043 |
| Alaska Native | 0.598942 |
| abdominal obesity | 0.370954 |
| clinical risk factor | 0.542423 |
| clinical risk factors | 0.562543 |
| Nutrition Examination Survey | 0.432208 |
| serum lipids | 0.371751 |
| AI/AN participants | 0.37147 |
| blood pressure | 0.517946 |
| risk factors | 0.925555 |
| clinical risk | 0.57785 |
| extreme obesity | 0.390296 |
| age-adjusted IFG prevalence | 0.356348 |
| disease risk factors | 0.572099 |
| age groups | 0.398765 |
| National Health | 0.401509 |
| Alaska EARTH Study | 0.433458 |
| census standard population | 0.355475 |
| EARTH participants | 0.755445 |
|
| United States | 0.364441 |
| Alaska Native Tribal | 0.396452 |
| Alaska NHANES participants | 0.481034 |
| high serum cholesterol | 0.398545 |
| prevalence | 0.527231 |
| high total cholesterol | 0.464567 |
| EARTH Study participants | 0.544334 |
| Alaska Native Health | 0.413596 |
| Native Health Research | 0.380179 |
| Alaska Native people | 0.558155 |
| chronic diseases | 0.36104 |
| Cholesterol Education Program | 0.374392 |
| age-adjusted prevalence | 0.408445 |
| health | 0.550444 |
| National Cholesterol Education | 0.381474 |
| high prevalence | 0.403509 |
| Native Tribal Health | 0.397187 |
| Indian Health Service | 0.547911 |
| Tribal Health Consortium | 0.386259 |
| low high-density lipoprotein | 0.362583 |
| common risk factor | 0.440663 |
| risk factor categories | 0.542507 |
| NHANES participants | 0.538977 |
| high low-density lipoprotein | 0.38989 |
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Centers for Disease Control and Prevention |
Html |
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Science Clips - Monday, September 14, 2009 |
null |
| airway inflammation | 0.310445 |
| Bish CL | 0.311591 |
| genomic medicine | 0.307972 |
| computerized tracking systems | 0.395867 |
| Kim SY | 0.321749 |
| Evidence-based interventions | 0.308774 |
| cardiovascular risk factors | 0.385297 |
| outbreak investigation | 0.311728 |
| medication safety alerts | 0.380559 |
| vaccination coverage | 0.314504 |
| Gift TL | 0.310771 |
| Disease Control | 0.310419 |
| CDC Knowledge | 0.551969 |
| Action Science Clips | 0.910954 |
| vaginal delivery | 0.305287 |
| Repeat infection | 0.308963 |
| new weekly digest | 0.420657 |
| risk factors | 0.400575 |
| colorectal cancer | 0.320786 |
| Limited utility | 0.310911 |
| name-based tuberculosis contact | 0.404695 |
| Chief Science Officer | 0.433293 |
| wild game consumption | 0.394735 |
| DHHS | 0.31888 |
| Comparative effectiveness research | 0.387828 |
|
| Chu SY | 0.328405 |
| Health information technology | 0.398615 |
| public domain | 0.31666 |
| Stephen B. Thacker | 0.617352 |
| health care utilization | 0.397568 |
| vaccine adverse event | 0.390422 |
| comprehensive cancer control | 0.419328 |
| Kawasaki disease | 0.310424 |
| Endometrial cancer risk | 0.426976 |
| cesarean delivery | 0.307941 |
| National Immunization Survey-Teen | 0.396639 |
| illicit drugs | 0.307486 |
| public health literature | 0.397054 |
| extremity disease status | 0.415968 |
| ambulatory care | 0.303562 |
| B. Thacker CDC | 0.763462 |
| systematic review | 0.305832 |
| overweight women | 0.3182 |
| original sources | 0.323121 |
| content analysis | 0.313642 |
| pilot respiratory health | 0.39928 |
| news sources | 0.305868 |
| Bohm MK | 0.316342 |
| Thacker CDC Library | 0.763346 |
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Centers for Disease Control and Prevention |
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CDC Media Relations - Statement: July 7, 2011 |
Statement by Thomas R. Frieden, M.D., M.P.H. Director, Centers for Disease Control and Prevention Regarding WHO Report on the Global Tobacco Epidemic, 2011 |
| sub-national level | 0.381634 |
| smoke-free laws | 0.506344 |
| Tobacco Survey | 0.533757 |
| large graphic health | 0.439057 |
| anti-tobacco mass media | 0.544247 |
| local smoke-free laws | 0.456826 |
| tobacco excise tax | 0.581587 |
| Global Tobacco Epidemic | 0.721737 |
| tobacco | 0.816958 |
| significant progress | 0.369897 |
| middle-income countries | 0.376996 |
| tobacco prevention | 0.518007 |
| tobacco smoke | 0.502249 |
| World Health Organization | 0.452038 |
| community levels | 0.370453 |
| tobacco packaging | 0.50852 |
| countries | 0.429372 |
| hard-hitting mass media | 0.449523 |
| mass media campaigns | 0.963675 |
| tobacco settlement funds | 0.575233 |
| sub-national estimates | 0.373929 |
| important public health | 0.424034 |
| United States | 0.56012 |
| tobacco control indicators | 0.624363 |
| cigarette packaging | 0.374124 |
|
| Drug Administration | 0.372551 |
| comprehensive smoke-free laws | 0.459104 |
| graphic health warnings | 0.566959 |
| tobacco advertising | 0.502763 |
| smoke-free workplaces | 0.398871 |
| public places | 0.370032 |
| smoke-free policies | 0.407348 |
| Global Youth Tobacco | 0.565855 |
| tobacco taxes | 0.575871 |
| national-level smoke-free laws | 0.463048 |
| graphic warning labels | 0.440419 |
| nonsmoking Americans | 0.36993 |
| cigarette pack | 0.375075 |
| state tobacco control | 0.578974 |
| Global Adult Tobacco | 0.568242 |
| cigarette health warnings | 0.447551 |
| key tobacco control | 0.625141 |
| health warnings | 0.597523 |
| people | 0.423012 |
| national anti-tobacco mass | 0.440705 |
| tobacco control interventions | 0.624605 |
| report | 0.393728 |
| final requirements | 0.372488 |
| tobacco control | 0.802442 |
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What You Should Know for the 2012-2013 Influenza Season |
Question and Answer for the general public regarding basic information about the 2012-2013 flu season - CDC |
| influenza | 0.898236 |
| high rates | 0.40679 |
| CDC | 0.478089 |
| United States | 0.709435 |
| influenza related deaths | 0.520848 |
| influenza information | 0.475572 |
| flu vaccine | 0.87944 |
| flu virus | 0.472377 |
| flu activity | 0.575933 |
| U.S. influenza surveillance | 0.504252 |
| 2012-2013 influenza season | 0.532328 |
| flu vaccine manufacturers | 0.550123 |
| 2012-2013 flu vaccine | 0.573169 |
| outpatient visits | 0.492122 |
| better flu vaccines | 0.497926 |
| Flu Season Draws | 0.573132 |
| influenza B viruses | 0.538157 |
| flu vaccine work | 0.634653 |
| additional information | 0.449233 |
| 2012-2013 flu season | 0.705292 |
| laboratory-confirmed influenza | 0.44775 |
| reported deaths | 0.420016 |
| Flu Vaccine Effectiveness | 0.568708 |
|
| influenza season | 0.603911 |
| 2013-14 Influenza Vaccine | 0.673081 |
| article Influenza Activity | 0.611659 |
| Final vaccine effectiveness | 0.453503 |
| flu season vaccine | 0.590038 |
| flu seasons | 0.474642 |
| seasonal flu vaccine | 0.580793 |
| flu illness | 0.474308 |
| previous influenza season | 0.541385 |
| age groups | 0.522155 |
| people | 0.446085 |
| flu | 0.929394 |
| influenza-associated pediatric deaths | 0.458433 |
| flu B viruses | 0.498751 |
| highest reported peaks | 0.410794 |
| influenza viruses | 0.495155 |
| annual influenza vaccination | 0.482816 |
| medically-attended influenza virus | 0.48763 |
| 2012-2013 season | 0.452021 |
| flu season | 0.803572 |
| MMWR article Influenza | 0.615932 |
| high percentage | 0.404466 |
| influenza diagnoses | 0.468745 |
|
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| 9001 |
Centers for Disease Control and Prevention |
Video |
en |
CDC: Tips from Former Smokers - Sharon's Story |
Sharon was diagnosed with throat cancer in her thirties. She talks about how she never thought smoking would lead to problems at such a young age in this video from CDC's "Tips From Former Smokers" campaign.
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=1da6521358419e33fad67ddff636621b20120514081314015
To learn more about tobacco control and prevention, go to BeTobaccoFree.gov |
| Smokers | 0.932887 |
| CDC | 0.92604 |
|
| Sharon | 0.825356 |
| YouTube | 0.871802 |
|
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| 9019 |
Centers for Disease Control and Prevention |
Video |
en |
Smokeless NOT Harmless |
Smokeless...NOT Harmless is a 5-minute closed captioned video looks at the many tactics used to sell smokeless tobacco over the past century.
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/tobacco/publications/dvds_videos/smokeless_not_harmless/index.htm |
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Centers for Disease Control and Prevention |
Html |
en |
Announcements: Environmental Microbiology: Control ofFoodborne and Waterborne Diseases Course - January 6-11,2014 |
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. |
| mmwrq@cdc.gov. | 0.448687 |
| waterborne diseases | 0.853738 |
| Emory University | 0.710044 |
| public health practitioners | 0.597661 |
| Human Services | 0.514482 |
| assistive technology | 0.448816 |
| MMWR HTML versions | 0.527966 |
| U.S. Department | 0.509204 |
| broad overview | 0.435462 |
| electronic PDF version | 0.516534 |
| control foodborne | 0.481585 |
| quality assurance programs | 0.535469 |
| Global Health | 0.45771 |
| Additional information | 0.43057 |
| Contact GPO | 0.445149 |
| commercial sources | 0.423125 |
| water-transmitted diseases | 0.452186 |
| critical control points | 0.543456 |
| water safety | 0.439143 |
| current prices | 0.42114 |
| clinical manifestations | 0.43473 |
| original paper copy | 0.522013 |
| public health impact | 0.591231 |
| wastewater treatment processes | 0.535027 |
|
| application deadline | 0.426205 |
| public health policy | 0.600363 |
| U.S. Government Printing | 0.527969 |
| original MMWR paper | 0.524201 |
| Clifton Rd | 0.424409 |
| major foodborne | 0.484842 |
| chemical agents | 0.433286 |
| MMWR readers | 0.430078 |
| character translation | 0.417922 |
| 6-day course | 0.456498 |
| surveillance systems | 0.439396 |
| hazard analysis | 0.42735 |
| public health professionals | 0.587436 |
| public health | 0.966527 |
| Hubert Department | 0.431184 |
| format errors | 0.417809 |
| Rollins School | 0.549403 |
| subject line | 0.446289 |
| typeset documents | 0.424242 |
| Pia Valeriano | 0.443676 |
| trade names | 0.423201 |
| non-CDC sites | 0.422615 |
| Environmental Microbiology | 0.433299 |
| indicator organisms | 0.427794 |
|
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Centers for Disease Control and Prevention |
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March 2015 |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| initial cases | 0.429929 |
| cat fleas | 0.420949 |
| U.S.-born men | 0.426649 |
| Infectious Disease journal | 0.554576 |
| CDC study | 0.503651 |
| CDC analysis | 0.497916 |
| common characteristics | 0.427081 |
| TB bacillus | 0.745581 |
| public health journal | 0.566408 |
| Texas Medical Branch | 0.511191 |
| particular concern | 0.417091 |
| long infectious periods | 0.547987 |
| Contact Mark Gallivan | 0.521706 |
| marginalized populations | 0.42784 |
| M. Bovis TB | 0.943261 |
| later-stage diagnosis | 0.429165 |
| symptomatic patients | 0.43069 |
| substance abuse | 0.420691 |
| Lucas S. Blanton | 0.500981 |
| World TB | 0.743984 |
| rat fleas | 0.417329 |
| Maryam B. Haddad | 0.535822 |
| National Center | 0.424956 |
| national average | 0.527205 |
|
| risk factors | 0.617642 |
| TB Prevention | 0.690284 |
| murine typhus | 0.565201 |
| World Health Organization | 0.562282 |
| unpasteurized dairy products | 0.526459 |
| timely diagnosis | 0.42493 |
| Mycobacterium bovis | 0.580889 |
| Press Office | 0.417633 |
| Robert Koch | 0.43781 |
| infectious periods | 0.554316 |
| TB cases | 0.798464 |
| source patients | 0.546334 |
| continued decline | 0.419817 |
| Viral Hepatitis | 0.416521 |
| TB | 0.9482 |
| p.m. EDT | 0.451337 |
| Typhus bacteria | 0.442466 |
| social risk factors | 0.542977 |
| News Media Line | 0.524264 |
| contaminated dairy products | 0.510555 |
| subtropical coastal areas | 0.500981 |
| Infectious Diseases | 0.458031 |
| thorough efforts | 0.419746 |
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Centers for Disease Control and Prevention |
Video |
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Cote de Pablo for Inside Knowledge PSA (:30) |
Actress Cote de Pablo talks about her own cervical cancer scare and shares advice for other women.
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/wcms/videos/low-res/NCCDPHP/2015/cote_video_english_30_925628.mp4 |
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