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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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Learn the Signs and Symptoms of TB Disease |
Tuberculosis (TB) is a disease caused by bacteria that are spread through the air from person to person. If not treated properly, TB disease can be fatal. Learn to recognize the signs and symptoms of TB. |
| latent TB infection | 0.767785 |
| TB disease | 0.800321 |
| people | 0.209789 |
| TB | 0.907513 |
|
| TB bacteria | 0.729761 |
| TB disease coughs | 0.335852 |
| TB control office | 0.315583 |
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Pet Food |
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| pet food | 0.947367 |
| animal foods | 0.680379 |
| food regulations | 0.62498 |
| pre-market approval | 0.683336 |
| pet foods | 0.669849 |
| processing aids | 0.587465 |
| Colorings | 0.521913 |
| flavorings | 0.518413 |
| urinary tract health | 0.751376 |
| AAFCO | 0.542329 |
| labeling regulations | 0.591311 |
| food additives | 0.614316 |
| proper identification | 0.583578 |
| Pet food labeling | 0.711439 |
| low magnesium | 0.577825 |
| veterinary drug | 0.580494 |
| appropriate function | 0.587105 |
| sanitary conditions | 0.5918 |
| dog food | 0.630699 |
| net quantity statement | 0.652634 |
| maintains urinary tract | 0.648819 |
| Pet Food Labels | 0.695811 |
| viable microorganisms | 0.59441 |
| Drug Administration | 0.599635 |
| offer guidance | 0.578772 |
|
| CFR | 0.593515 |
| American Feed Control | 0.645762 |
| harmful substances | 0.595859 |
| proper listing | 0.583156 |
| individual pet health | 0.674996 |
| pantry | 0.51855 |
| dog treats | 0.596727 |
| ingredients | 0.55233 |
| low acid | 0.587448 |
| FDA’s regulation | 0.726085 |
| cat food | 0.632379 |
| FDA internet site | 0.69228 |
| Cosmetic Act | 0.589275 |
| CVM portion | 0.591109 |
| Federal Regulations | 0.593358 |
| human foods | 0.596463 |
| Pet Food Product | 0.71116 |
| tract health claim | 0.646009 |
| hairball control. | 0.584927 |
| Federal Food | 0.622039 |
| specific claims | 0.578082 |
| current FDA regulations | 0.708313 |
| pet food products | 0.721203 |
| veterinarian | 0.528618 |
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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 |
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| 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 |
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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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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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CDC Global Health - What We're Doing |
null |
| CDC | 0.887795 |
| Health Strategy | 0.479887 |
| controls outbreaks | 0.448485 |
| global work | 0.472727 |
| American people | 0.545393 |
| broader diplomatic engagement | 0.526492 |
| global health goals | 0.610191 |
| U.S. Government | 0.444709 |
| health sector | 0.474516 |
| malaria morbidity | 0.440329 |
| critical public health | 0.603523 |
| global health | 0.88671 |
| low resource settings | 0.508247 |
| World Health Organization | 0.611753 |
| Americans | 0.438118 |
| President’s Malaria | 0.435364 |
| Global Partnerships | 0.444282 |
| health challenges | 0.485818 |
| America’s health | 0.497281 |
| global health leadership | 0.633649 |
| smallest gap | 0.438277 |
| global health crises | 0.612632 |
| CDC’s collaboration | 0.589852 |
| health benefits | 0.490469 |
| global travel | 0.481116 |
|
| global activities | 0.469232 |
| health threats | 0.910388 |
| human disease | 0.440977 |
| global health strategies | 0.619492 |
| President George W. | 0.512757 |
| disease threat | 0.467673 |
| disease outbreaks | 0.454277 |
| U.S. President | 0.439041 |
| pandemic influenza | 0.43249 |
| U.S. public health | 0.621516 |
| CDC detects | 0.634211 |
| respective countries | 0.427636 |
| single disease | 0.43749 |
| public health | 0.789585 |
| global programs | 0.555713 |
| major health threats | 0.817493 |
| malaria elimination | 0.436282 |
| world experts | 0.43401 |
| effective global health | 0.641049 |
| malaria deaths | 0.436025 |
| public health efforts | 0.604918 |
| infectious disease | 0.463472 |
| vaccine-preventable diseases | 0.427369 |
| CDC’s Global | 0.628607 |
|
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Centers for Disease Control and Prevention |
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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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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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CDC's Report to Congress on Traumatic Brain Injury Epidemiology and Rehabilitation | Concussion | Traumatic Brain Injury | CDC Injury Center |
null |
| significant impact | 0.612601 |
| Congress | 0.367717 |
| Centers | 0.33824 |
| CDC | 0.388764 |
| lives | 0.341732 |
| United States | 0.546093 |
| Report | 0.337466 |
| economy | 0.379897 |
| individuals | 0.341584 |
|
| families | 0.341362 |
| Epidemiology | 0.384615 |
| Prevention | 0.337888 |
| society | 0.340696 |
| Traumatic Brain Injury | 0.773234 |
| Disease Control | 0.555034 |
| TBI | 0.42108 |
| Traumatic brain injuries | 0.90089 |
|
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