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Centers for Disease Control and Prevention |
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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 |
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| 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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Centers for Disease Control and Prevention |
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Make 2016 Your Year to Quit | CDC Features |
Quit Smoking to start your year off right. |
| free service | 0.364963 |
| health care provider | 0.757856 |
| burning cigarettes | 0.350845 |
| family member | 0.349444 |
| body | 0.256924 |
| resolution | 0.264008 |
| additional support online | 0.507311 |
| helpful online | 0.349165 |
| nicotine replacement therapies | 0.489395 |
| preventable disease | 0.390818 |
| powerfully addictive drug | 0.485269 |
| coaching | 0.258717 |
| quit plan | 0.930742 |
| Smokefree App | 0.441257 |
| nicotine inhalers | 0.390629 |
| Beatrice | 0.483833 |
| quit date | 0.679072 |
| Smokers TM campaign | 0.560323 |
| letter | 0.260203 |
| healthier life | 0.357614 |
| program sends encouragement | 0.487473 |
| Spanish speakers | 0.371835 |
| United States | 0.388155 |
| greatest motivator | 0.374555 |
| educational materials | 0.36221 |
|
| cigarette smoker | 0.38614 |
| exciting things | 0.38837 |
| effective quit plan | 0.79177 |
| control cravings | 0.364676 |
| varenicline | 0.235135 |
| U.S. smokers | 0.444207 |
| great idea | 0.370726 |
| smoking | 0.980206 |
| Online help | 0.380966 |
| free app | 0.362765 |
| smoking triggers | 0.527371 |
| Smokefree TXT | 0.445099 |
| common smoking medications | 0.617606 |
| CDC’s Tips | 0.364365 |
| New York | 0.381973 |
| smokefree progress | 0.418951 |
| main thing | 0.368045 |
| doctor | 0.257518 |
| free resources | 0.602092 |
| nasal spray | 0.353801 |
| smoking patterns | 0.498778 |
| Smokers web page | 0.533866 |
| Drug Administration-approved NRTs | 0.465632 |
| text QUIT | 0.634319 |
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Centers for Disease Control and Prevention |
Html |
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Notifiable Diseases and Mortality Tables |
Table I Summary of provisional cases of selected notifiable diseases, United States, cumulative, week ending January 18, 2014 (3rd Week). |
| different event codes | 0.546801 |
| H. influenzae | 0.452363 |
| CDC | 0.414052 |
| California serogroup | 0.55608 |
| age group | 0.387684 |
| novel influenza | 0.703217 |
| invasive pneumococcal disease | 0.892885 |
| eastern equine | 0.380257 |
| measles cases | 0.488963 |
| ** Data | 0.425291 |
| western equine diseases | 0.534069 |
| case notifications | 0.390439 |
| susceptible cases | 0.444658 |
| probable cases | 0.461634 |
| Rocky Mountain | 0.373758 |
| rickettsia infections | 0.425981 |
| ArboNET Surveillance | 0.380001 |
| Zoonotic | 0.241021 |
| rubella cases | 0.457909 |
| Spotted fever rickettsioses | 0.610947 |
| St. Louis | 0.383265 |
| E. coli | 0.385299 |
| influenza A virus | 0.548185 |
| virus infections | 0.44249 |
|
| National Center | 0.576427 |
| Immunization | 0.238697 |
| cases | 0.716494 |
| pneumoniae invasive disease | 0.605104 |
| Table | 0.294832 |
| Total case counts | 0.562767 |
| Spotted fever group | 0.60869 |
| serogroup non-O157 | 0.555819 |
| serotypes | 0.23788 |
| Shiga | 0.291467 |
| similar clinical presentation | 0.533031 |
| Vector-Borne Infectious Diseases | 0.573027 |
| meningococcal disease | 0.401093 |
| Cumulative total E. | 0.561785 |
| condition | 0.258155 |
| Influenza Division | 0.512298 |
| Streptococcus | 0.243131 |
| unknown serogroup | 0.556482 |
| Respiratory Diseases | 0.40228 |
| Powassan | 0.245724 |
| ages | 0.237911 |
| Enteric Diseases | 0.39817 |
| Includes drug resistant | 0.552698 |
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| 6687 |
Centers for Disease Control and Prevention |
Html |
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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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| 6699 |
Centers for Disease Control and Prevention |
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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 |
Html |
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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 |
Html |
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Million Hearts and Eating Well launch heart-healthy nutrition resource |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| local supermarkets | 0.493087 |
| Million Hearts Healthy | 0.632346 |
| big difference. | 0.486804 |
| right meal | 0.503847 |
| tasty meals | 0.496813 |
| individuals | 0.415996 |
| nutritional facts | 0.48919 |
| test kitchen. Search | 0.567293 |
| Disease Control | 0.58422 |
| emphasis | 0.417087 |
| dietary needs | 0.489129 |
| daily sodium intake | 0.634142 |
| visit http://millionhearts.hhs.gov | 0.485605 |
| healthier foods | 0.500681 |
| goal | 0.415875 |
| Director Tom Frieden | 0.567692 |
| accessible eating | 0.518839 |
| Hearts tools | 0.530561 |
| Million Hearts | 0.741414 |
| joint initiative | 0.502926 |
| online resource | 0.501243 |
| consumer-friendly addition | 0.506505 |
| filter options | 0.486991 |
| resource center | 0.771883 |
| families access content | 0.577213 |
|
| Centers | 0.442504 |
| heart attacks | 0.494377 |
| prep time | 0.490969 |
| sodium intake | 0.758349 |
| major contributor | 0.607332 |
| everyday ingredients | 0.487583 |
| heart-healthy recipes | 0.530102 |
| visit http://recipes.millionhearts.hhs.gov/ | 0.483929 |
| new Healthy Eating | 0.626621 |
| Medicaid Services | 0.488629 |
| Prevention | 0.431745 |
| servings | 0.422615 |
| heart disease | 0.503317 |
| lower sodium options | 0.616052 |
| Small changes | 0.486939 |
| lifestyle-based solutions | 0.493414 |
| Million Hearts initiative | 0.710048 |
| strokes | 0.418378 |
| family-friendly meal plans | 0.609011 |
| Executive Director | 0.493709 |
| Lifestyle Resource Center | 0.728262 |
| people | 0.446532 |
| home | 0.415563 |
| Janet S. Wright | 0.570644 |
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| 12627 |
Centers for Disease Control and Prevention |
Video |
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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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| 13386 |
Centers for Disease Control and Prevention |
Html |
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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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Centers for Disease Control and Prevention |
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Why We Do Research on Hemophilia | Hemophilia | NCBDDD | CDC |
Hemophilia is an inherited bleeding disorder in which the blood does not clot properly. The mission of CDC’s Division of Blood Disorders is to reduce the morbidity and mortality from blood disorders through comprehensive public health practice. |
| hemophilia | 0.99368 |
| inhibitors | 0.513423 |
| blood products | 0.460816 |
| CDC | 0.528373 |
| joint mobility | 0.462526 |
| key prevention activities | 0.573263 |
| care patterns | 0.463171 |
| Hemophilia Care | 0.647441 |
| joint disease | 0.617 |
| health issues | 0.463185 |
| future research | 0.464259 |
| public health surveillance | 0.517056 |
| health care providers | 0.506718 |
| prevention campaign messages | 0.501624 |
| joint disease results | 0.508525 |
| factor VIII gene | 0.462549 |
| hemophilia patients | 0.682064 |
| overall health | 0.465169 |
| rare disorders | 0.469087 |
| disease complications | 0.466784 |
| prevention programs | 0.471105 |
| normal blood clotting | 0.615444 |
| joint bleeding | 0.490825 |
| hemophilia lack | 0.674076 |
|
| blood-borne infections | 0.461032 |
| Platelet function testing | 0.494486 |
| health-monitoring data | 0.467604 |
| excessive bleeding | 0.480304 |
| hemophilia worldwide | 0.667993 |
| Bleeding Disorders Surveillance | 0.543692 |
| treatment product | 0.496311 |
| advance health research | 0.524864 |
| Community Counts- Registry | 0.508704 |
| national network | 0.465779 |
| Inhibitor Study | 0.519536 |
| National Prevention Program | 0.568002 |
| health data | 0.47604 |
| Span Reveals Progress | 0.492063 |
| hemophilia population | 0.674586 |
| hemophilia carriers | 0.640842 |
| healthy weight | 0.49522 |
| hemophilia treatment centers | 0.830349 |
| overweight people | 0.472975 |
| people | 0.631299 |
| Ongoing Health Challenges | 0.494136 |
| private organizations | 0.465727 |
| chronic joint disease | 0.507515 |
| target audience members | 0.492541 |
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