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Quadrivalent Seasonal Influenza (Flu) Vaccine |
Questions and answers for the general public on the quadrivalent flu vaccine - CDC |
| vaccine finder | 0.331042 |
| quadrivalent flu shots | 0.405729 |
| age-appropriate influenza vaccine | 0.46431 |
| 2017-2018 flu season | 0.387598 |
| injectable influenza vaccines | 0.354594 |
| flu vaccine | 0.971369 |
| nasal spray flu | 0.506702 |
| different flu viruses | 0.547629 |
| seasonal flu vaccines | 0.52727 |
| similar—mostly mild—side effects | 0.206169 |
| quadrivalent vaccine | 0.384925 |
| flu vaccines | 0.812075 |
| quadrivalent flu vaccine | 0.715727 |
| vaccine virus | 0.348284 |
| Different flu vaccines | 0.458193 |
| vaccine viruses | 0.387114 |
| influenza B viruses | 0.325092 |
| different age groups | 0.216082 |
| trivalent vaccines | 0.209904 |
| influenza illness | 0.233282 |
| spray flu vaccine | 0.69291 |
|
| Different vaccines | 0.230537 |
| quadrivalent nasal spray | 0.230198 |
| health care | 0.214735 |
| influenza vaccine | 0.794885 |
| vaccine options | 0.350331 |
| vaccine side effects | 0.333942 |
| important thing | 0.21952 |
| Yes. Flu vaccines | 0.440329 |
| recombinant influenza vaccine | 0.597018 |
| Quadrivalent flu vaccines | 0.420969 |
| flu viruses | 0.772837 |
| people | 0.217285 |
| particular vaccine | 0.356214 |
| influenza A H1N1 | 0.263341 |
| nasal spray vaccine | 0.480799 |
| inactivated influenza vaccine | 0.594906 |
| influenza A H3N2 | 0.263211 |
| annual influenza vaccination | 0.300709 |
| egg allergies | 0.24818 |
| severe egg allergies | 0.205728 |
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Preventing Chronic Disease: October 2009: 08_0169 |
null |
| African American focus | 0.575946 |
| discussion guide | 0.559295 |
| Alzheimer disease | 0.599154 |
| public health interventions | 0.598994 |
| active spiritual life | 0.61532 |
| older African Americans | 0.591352 |
| white focus groups | 0.581835 |
| social involvement | 0.558018 |
| whites | 0.627175 |
| African American participants | 0.585127 |
| health behaviors | 0.598917 |
| body mass index | 0.572471 |
| strong spiritual life | 0.57309 |
| Recent scientific evidence | 0.571524 |
| intense physical activity | 0.555233 |
| health problems | 0.597873 |
| African American groups | 0.617188 |
| health project report | 0.555266 |
| leisure activities | 0.601451 |
| brain health | 0.73044 |
| African American moderators | 0.567559 |
| white participants | 0.647905 |
| African Americans | 0.989248 |
| cognitive decline | 0.600424 |
|
| focus group data | 0.557915 |
| South Carolina | 0.711063 |
| Aging Hum Dev | 0.624604 |
| health promotion strategies | 0.586458 |
| focus groups | 0.715061 |
| Healthy Aging Research | 0.630374 |
| long time | 0.588213 |
| Focus group participants | 0.567545 |
| public health | 0.608473 |
| participants | 0.652073 |
| African American participant | 0.571761 |
| white participant | 0.554919 |
| mental health characteristics | 0.562573 |
| Healthy Brain Project | 0.573239 |
| physical activity | 0.814222 |
| Int J Aging | 0.598271 |
| simple health behaviors | 0.567555 |
| cognitive health | 0.61192 |
| successful aging | 0.593187 |
| focus group | 0.592288 |
| Launer LJ | 0.557652 |
| older adults | 0.642672 |
| et al | 0.570703 |
| Honolulu-Asia Aging Study | 0.613173 |
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American Indian parents' assessment of and concern about their kindergarten child's weight status, South Dakota, 2005-2006. |
Obesity is highly prevalent among American Indians, and effective prevention efforts require caregiver involvement. We examined American Indian (AI) parents’ assessment of and level of concern about their kindergarten child’s weight status. |
| extremely obese children | 0.393711 |
| excess weight gain | 0.361036 |
| obese parents | 0.384039 |
| highest weight percentile | 0.382505 |
| obesity prevention programs | 0.364893 |
| obese children | 0.415664 |
| actual weight status | 0.374349 |
| AI children | 0.389 |
| Prevention Growth Charts | 0.360639 |
| BMI ≥97th percentile | 0.408606 |
| 85th percentile | 0.404745 |
| children | 0.616346 |
| weight status categories | 0.385185 |
| American Indian children | 0.369177 |
| weight status | 0.902765 |
| normal-weight children | 0.368239 |
| overweight parents | 0.389789 |
| child weight | 0.372602 |
| overweight | 0.448205 |
| 15th percentile | 0.398728 |
| parent report | 0.387332 |
| mass index percentiles | 0.396969 |
| BMI | 0.417926 |
|
| right weight | 0.376152 |
| address parental weight | 0.366404 |
| slightly underweight | 0.40846 |
| Childhood overweight | 0.36317 |
| normal weight | 0.419501 |
| family income | 0.389918 |
| overweight children | 0.407778 |
| slightly overweight | 0.394658 |
| body mass index | 0.490263 |
| probability | 0.368817 |
| South Dakota | 0.393027 |
| AI populations | 0.365917 |
| underweight | 0.42708 |
| measured weight status | 0.426417 |
| child’s weight | 0.703289 |
| parental weight status | 0.389731 |
| obese status | 0.36219 |
| BMI percentile categories | 0.38373 |
| overweight status | 0.390361 |
| kindergarten child | 0.365789 |
| current weight status | 0.425079 |
| African American children | 0.378097 |
| 95th percentile | 0.470893 |
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Centers for Disease Control and Prevention |
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Enfoque basado en la población para mitigar los efectos en la salud a largo plazo de las misiones de combate |
CDC - Wide Page example description goes here |
| Salud Pública | 0.748432 |
| posibles efectos | 0.817663 |
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| principales enfoques | 0.994561 |
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Centers for Disease Control and Prevention |
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Up to 40 percent of annual deaths from each of five leading US causes are preventable | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| CDC | 0.247647 |
| Mortality Weekly Report | 0.49942 |
| United States | 0.504911 |
| senior author | 0.295814 |
| Tom Frieden | 0.330064 |
| cause | 0.562503 |
| premature death | 0.352609 |
| weekly journal | 0.319125 |
| geographic attributes | 0.296183 |
| percent | 0.258373 |
| Harold W. Jaffe | 0.460714 |
| overall total | 0.306138 |
| unintentional injuries | 0.364825 |
| early death | 0.327195 |
| health disparities | 0.314708 |
| Disease Control | 0.339639 |
| personal behaviors | 0.305384 |
| preventable disease | 0.403745 |
| heart disease | 0.521883 |
|
| Modifiable risk factors | 0.481394 |
| causes | 0.364543 |
| different causes | 0.314947 |
| U.S. deaths | 0.5204 |
| highest number | 0.292772 |
| Healthy People | 0.287583 |
| premature deaths | 0.931698 |
| better outcomes | 0.299396 |
| Million Hearts initiative | 0.474951 |
| lowest death rate | 0.543116 |
| preventable cause | 0.44821 |
| lowest rates | 0.348766 |
| lowest possible death | 0.503339 |
| Southeastern states | 0.311301 |
| unintentional injury | 0.326223 |
| study authors | 0.417595 |
| preventable deaths | 0.732854 |
| similar populations | 0.297916 |
| higher rates | 0.290789 |
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Flu Health-e-Cards |
Electronic greeting cards are a fun way to remind your loved ones to take care of their health! |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
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Centers for Disease Control and Prevention |
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Director's Briefing: Million Hearts Initiative |
CDC Director Dr. Tom Frieden talks about how heart disease and stroke are leading causes of death for people -- including Hispanics -- in the U.S. Million Hearts is a national initiative that has set an ambitious goal to prevention one million heart attacks and strokes by 2017. As a partner, CDC is pleased to announce many new materials and a website in Spanish that can help people improve their heart health: http://millionhearts.hhs.gov/.
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=17464e4eb47d0770a609a2dfe5e2c2c520130213170449225 |
| Hearts Initiative | 0.971933 |
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Notes from the Field: Update: Silicosis Mortality - UnitedStates, 1999-2013 |
Jacek M. Mazurek, MD1; Patricia L. Schleiff, MS1; John M. |
| low silica concentrations | 0.458089 |
| John M. Wood | 0.41721 |
| relatively short periods | 0.401758 |
| New national mortality | 0.429714 |
| nonmetallic mineral product | 0.393941 |
| common form | 0.363247 |
| silicosis prevention efforts | 0.643106 |
| silicosis cases | 0.619954 |
| contributing cause | 0.376258 |
| high silica concentrations | 0.448945 |
| Patricia L. Schleiff | 0.419551 |
| Available death certificates | 0.421159 |
| Health.§ State health | 0.396356 |
| National Center | 0.364228 |
| respirable crystalline silica | 0.469491 |
| mortality data | 0.41862 |
| Scott A. Hendricks | 0.417524 |
| silicosis surveillance | 0.657055 |
| stone product manufacturing | 0.395018 |
| higher silica levels | 0.446769 |
| decedents | 0.411897 |
| Jacek M. Mazurek | 0.432161 |
| David N. Weissman | 0.397456 |
| Ainsley Weston | 0.364492 |
| Health Statistics | 0.364202 |
|
| exposure | 0.363879 |
| Jacek Mazurek | 0.363346 |
| Effective silicosis prevention | 0.648216 |
| young adults | 0.404581 |
| workplace exposure | 0.359223 |
| Death certificate review | 0.410458 |
| chronic silicosis mortality | 0.703274 |
| Occupational Safety | 0.486434 |
| autoregressive linear regression | 0.397252 |
| occupational lung disease | 0.428537 |
| Respiratory Disease Studies | 0.467841 |
| young deaths | 0.423834 |
| Revision diagnosis code | 0.406045 |
| National Institute | 0.420976 |
| acute silicosis | 0.660398 |
| Author affiliations | 0.361641 |
| young decedents | 0.397921 |
| chronic silicosis | 0.733128 |
| silicosis | 0.92356 |
| silicosis deaths | 0.90391 |
| multiple cause-of-death mortality | 0.423812 |
| annual number | 0.405924 |
| Table). | 0.369331 |
| quartz-containing engineered stone | 0.391403 |
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Notes from the Field | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| disinfection products | 0.390029 |
| current environmental services | 0.285678 |
| safety data sheet | 0.277308 |
| potential health effects | 0.293217 |
| new disinfection product | 0.33336 |
| full-shift personal air | 0.276314 |
| full-shift exposure limits | 0.294769 |
| public health departments | 0.288305 |
| self-reported physician-diagnosed asthma | 0.25761 |
| nasal problems | 0.340969 |
| health care facility | 0.300286 |
| particular disinfection products | 0.274372 |
| health care setting | 0.29723 |
| personal protective equipment | 0.267453 |
| Occupational Health | 0.275254 |
| hydrogen peroxide | 0.919406 |
| full-shift exposure limit | 0.294821 |
| potential adverse health | 0.293557 |
| services staff members | 0.833767 |
| work-related health outcome | 0.326954 |
| health care settings | 0.420431 |
| personal air samples | 0.407032 |
| peroxyacetic acid | 0.790589 |
| air sampling evaluation | 0.27158 |
| staff members report | 0.26589 |
|
| health interview questionnaire | 0.31564 |
| Full-shift air sample | 0.267613 |
| total convenience sample | 0.249757 |
| asthma-like symptoms | 0.450324 |
| Occupational Safety | 0.306657 |
| NIOSH Health Hazard | 0.317418 |
| health hazard evaluation | 0.440372 |
| chest tightness | 0.276643 |
| commonly reported health | 0.348993 |
| National Institute | 0.323876 |
| Environmental Protection Agency–registered | 0.284662 |
| 1Respiratory Health Division | 0.290357 |
| occupational exposure limits | 0.307213 |
| environmental services staff | 0.833833 |
| health | 0.493177 |
| eye symptoms | 0.269568 |
| Pilot air sampling | 0.266341 |
| Exposure assessment results | 0.299105 |
| hospital environmental services | 0.311582 |
| watery eyes | 0.24976 |
| work-related symptoms | 0.36365 |
| hospital staff members | 0.274377 |
| average personal air | 0.268345 |
| acetic acid | 0.821988 |
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Progress Toward Polio Eradication - Worldwide, 2015-2016 |MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| supplementary immunization activities | 0.452235 |
| Indigenous WPV type | 0.41555 |
| Western Pacific Region | 0.339971 |
| polio eradication activities | 0.44784 |
| transmission | 0.491114 |
| additional cVDPV cases | 0.42833 |
| routine immunization | 0.415267 |
| Global Polio Eradication | 0.449067 |
| routine immunization services | 0.348377 |
| quality supplementary immunization | 0.3679 |
| World Health Organization | 0.391537 |
| polio cases | 0.515369 |
| endemic polio | 0.516381 |
| immunization service delivery | 0.342232 |
| AFP surveillance quality | 0.342642 |
| countries | 0.656555 |
| sole circulating type | 0.460846 |
| National Polio Eradication | 0.449526 |
| 3Polio Eradication Department | 0.349888 |
| WPV cases | 0.870678 |
| Poliomyelitis Eradication | 0.383847 |
| AFP surveillance | 0.4237 |
| Regional Office | 0.422327 |
| recent case | 0.376199 |
| Afghanistan | 0.53336 |
|
| endemic poliovirus transmission | 0.362101 |
| polio program | 0.34918 |
| polio eradication | 0.75227 |
| cVDPV cases | 0.769157 |
| oral poliovirus vaccine | 0.42765 |
| Polio Laboratory Network | 0.516166 |
| low oral poliovirus | 0.429258 |
| polio vaccination | 0.353422 |
| Pakistan | 0.644269 |
| endemic polio transmission | 0.436052 |
| Eastern Mediterranean Region | 0.429312 |
| low transmission season | 0.357483 |
| Paralytic polio | 0.379847 |
| cases | 0.903212 |
| South-East Asia | 0.39462 |
| VDPV transmission | 0.354157 |
| large-scale door-to-door SIAs | 0.346076 |
| WPV type | 0.598519 |
| World Health Assembly | 0.349204 |
| acute flaccid paralysis | 0.425101 |
| supplementary immunization | 0.458039 |
| Global Polio Laboratory | 0.51737 |
| endemic WPV circulation | 0.370443 |
| WPV transmission | 0.490707 |
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