| 743 |
Centers for Disease Control and Prevention |
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FluVaxView: National Mid-Season Flu Vaccination Coverage, NFS, US, 2011-12 |
Results from the November 2011 National Flu Survey, United States for the 2011-12 influenza season - CDC |
| influenza vaccination recommendation | 0.463288 |
| influenza vaccination coverage | 0.643527 |
| cell telephone | 0.248893 |
| adults | 0.312099 |
| influenza vaccination-related data | 0.27437 |
| percentage points | 0.247623 |
| vaccination intent | 0.240573 |
| vaccination coverage | 0.789599 |
| influenza coverage objectives | 0.295922 |
| vaccination administration | 0.242551 |
| 2011-12 influenza season | 0.424932 |
| non-Hispanic blacks | 0.21662 |
| ethnic groups | 0.204533 |
| influenza vaccination targets | 0.500418 |
| 2010-11 influenza season | 0.295019 |
| NFS | 0.278113 |
| flu vaccination | 0.248983 |
| non-Hispanic whites | 0.295186 |
| Healthy People | 0.21024 |
| estimates | 0.244097 |
| influenza season | 0.518347 |
| estimated vaccination coverage | 0.359447 |
|
| rapid end-of-season influenza | 0.355587 |
| influenza activity | 0.283386 |
| influenza vaccines | 0.275242 |
| national mid-season estimates | 0.213544 |
| influenza immunization stakeholders | 0.275402 |
| national influenza vaccination | 0.392364 |
| non-Hispanic other race | 0.233877 |
| influenza vaccinations | 0.311847 |
| end-of-season coverage estimates | 0.216279 |
| influenza vaccination status | 0.370016 |
| influenza vaccination | 0.957029 |
| influenza varies | 0.277295 |
| influenza seasons | 0.245646 |
| Influenza Awareness Campaign | 0.271758 |
| annual influenza vaccination | 0.474962 |
| non-Hispanic white children | 0.371565 |
| non-Hispanic black children | 0.300821 |
| end-of-season influenza vaccine | 0.358709 |
| influenza season vaccination | 0.399569 |
| influenza vaccine coverage | 0.381791 |
| National Flu Survey | 0.357862 |
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| 1044 |
Centers for Disease Control and Prevention |
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Counterfeit Drugs | CDC Features |
Counterfeit medications are common in some countries. These drugs may not be effective or may be harmful. When traveling overseas, bring all medications with you. |
| United States | 0.562903 |
| rules | 0.242424 |
| trip | 0.275662 |
| KB | 0.254626 |
| real brand-name | 0.418001 |
| Central Africa | 0.428979 |
| counterfeit antimalarial medications | 0.930684 |
| Counterfeit drugs | 0.746179 |
| World Health Organization | 0.599056 |
| drugs | 0.775793 |
| West | 0.244819 |
| Japan | 0.240855 |
| countries | 0.45253 |
|
| Counterfeit medicines | 0.774417 |
| chemical analysis | 0.404235 |
| way | 0.276147 |
| New Zealand | 0.40856 |
| generic drugs | 0.527004 |
| Counterfeit medications | 0.780344 |
| harmful ingredients | 0.438357 |
| chances | 0.247951 |
| European Union | 0.407925 |
| Travelers | 0.24764 |
| real thing | 0.553114 |
| Australia | 0.240886 |
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| 5019 |
Centers for Disease Control and Prevention |
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What's new in global health. |
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| 6105 |
Centers for Disease Control and Prevention |
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Isoamyl acetate - NIOSH Pocket Guide to Chemical Hazards |
null |
| 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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| 6829 |
Centers for Disease Control and Prevention |
Html |
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Breast Cancer Prevention |
You can help lower your risk of breast cancer in several ways. |
| oral contraceptives | 0.669448 |
| X-rays | 0.537708 |
| PET scans | 0.660538 |
| lifetime | 0.536218 |
| lower your risk | 0.703636 |
| Research | 0.528338 |
| body | 0.527281 |
| following ways— | 0.679117 |
| Exercise | 0.531535 |
| children | 0.527801 |
| alcoholic drinks | 0.68114 |
| course | 0.531604 |
| carcinogens | 0.544007 |
| chemicals | 0.548041 |
| normal function | 0.661925 |
| medical imaging tests | 0.788378 |
| Limit exposure | 0.68163 |
|
| breast cancer risk | 0.876745 |
| genes | 0.52828 |
| breast cancer | 0.978568 |
| healthy weight | 0.683751 |
| birth control pills | 0.792846 |
| risk factor | 0.66764 |
| nighttime sleep | 0.67983 |
| factors | 0.573977 |
| lack | 0.534007 |
| doctor | 0.552678 |
| risks | 0.527517 |
| chances | 0.535281 |
| radiation | 0.526917 |
| family history | 0.815484 |
| high risk | 0.646822 |
| hormone replacement therapy | 0.786092 |
| CT scans | 0.661322 |
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| 7320 |
Centers for Disease Control and Prevention |
Html |
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West Nile Virus - QA: Prevention |
Information on West Nile virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| vaccines | 0.355596 |
| protective clothing | 0.504387 |
| fever | 0.352842 |
| continental United States | 0.696656 |
| North America | 0.536706 |
| bites | 0.423912 |
| summer | 0.348018 |
| symptoms | 0.443581 |
| WNV cases | 0.467447 |
|
| fall | 0.349814 |
| West Nile virus | 0.948056 |
| infected people | 0.523165 |
| medications | 0.351507 |
| season | 0.3482 |
| WNV | 0.727797 |
| headaches | 0.352059 |
| insect repellant | 0.505528 |
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| 12376 |
Centers for Disease Control and Prevention |
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A Snapshot: Blood Pressure in the U.S. (935W x 1912H) |
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| 13605 |
Centers for Disease Control and Prevention |
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Living with FASDs: In Taylor's Own Words | CDC Features |
FASDs are completely preventable if a woman does not drink alcohol during pregnancy. |
| dad | 0.363171 |
| Taylor extreme anxiety | 0.632664 |
| lead custodian | 0.466245 |
| mom talks | 0.457844 |
| Cathy Allen | 0.636897 |
| National Organization | 0.481433 |
| drank alcohol | 0.669362 |
| outward appearance | 0.459008 |
| social media tools | 0.569529 |
| things | 0.390731 |
| consequences | 0.35936 |
| behaviors Taylor | 0.513174 |
| FASD community | 0.716467 |
| high functioning end | 0.592652 |
| area airport | 0.456723 |
| inability | 0.367726 |
| pocket knife | 0.460053 |
| Taylor | 0.814451 |
| pregnancy | 0.388268 |
| mother drank alcohol | 0.66776 |
| social awkwardness | 0.459731 |
| personal struggle | 0.486316 |
| spending time | 0.458119 |
| free materials | 0.449749 |
|
| grade | 0.386808 |
| Vice President | 0.592174 |
| FASD behaviors | 0.672259 |
| teen group | 0.439326 |
| parents | 0.361319 |
| FASD journey | 0.66208 |
| poor problem | 0.457716 |
| Kennedy Krieger Institute | 0.598249 |
| alcohol dependence | 0.481514 |
| trade school | 0.458556 |
| Taylor Allen | 0.540439 |
| birth mother | 0.46157 |
| FASDs | 0.358576 |
| Fetal Alcohol Syndrome | 0.647195 |
| great deal | 0.455347 |
| DC area | 0.477345 |
| NOFAS | 0.541539 |
| Allen family | 0.464418 |
| day-to-day life | 0.452042 |
| attention-deficit/hyperactivity disorder | 0.480117 |
| FASD | 0.974408 |
| new fact sheets | 0.574925 |
| alcohol-free pregnancies | 0.459472 |
| print products | 0.449164 |
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| 13749 |
Centers for Disease Control and Prevention |
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Using Concept Mapping to Develop a Strategy for Self-Management Support for Underserved Populations Living With Chronic Conditions, British Columbia, August 2013–June 2014 |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| health care provider | 0.528278 |
| SMS initiatives | 0.44962 |
| health equity | 0.508147 |
| chronic condition inequities | 0.449997 |
| shift government policy | 0.471735 |
| research team | 0.439009 |
| public health approaches | 0.456033 |
| strategic directions | 0.542847 |
| Health Authority | 0.463247 |
| chronic condition management | 0.556782 |
| concept mapping software | 0.55192 |
| chronic condition | 0.587328 |
| British Columbia | 0.92994 |
| ideas | 0.847203 |
| underserved populations | 0.474142 |
| incorporate client support | 0.479137 |
| public health dialogue | 0.514161 |
| SMS strategy | 0.558825 |
| SMS | 0.699712 |
| health care organizations | 0.445532 |
| populations | 0.691562 |
| health authorities | 0.526295 |
| enhance health care | 0.466626 |
| tailor SMS programs | 0.441084 |
| public health strategy | 0.478272 |
|
| client support systems | 0.486868 |
| self-management support | 0.656406 |
| Vancouver Native Health | 0.491215 |
| Providence Health Care | 0.438292 |
| health care | 0.778785 |
| public health | 0.620994 |
| clusters | 0.472339 |
| participants | 0.680448 |
| care provider training | 0.48556 |
| worse health care | 0.459178 |
| health care systems | 0.507789 |
| chronically ill populations | 0.475804 |
| medical practices | 0.451654 |
| concept mapping | 0.772259 |
| feasibility rating data | 0.46195 |
| Native Health Society | 0.492353 |
| Concept Systems | 0.507863 |
| point cluster map | 0.438029 |
| chronic conditions | 0.794337 |
| online survey | 0.475145 |
| Aboriginal populations | 0.452077 |
| numerous cluster maps | 0.444766 |
| cluster names | 0.543403 |
| nongovernment organizations | 0.489267 |
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Centers for Disease Control and Prevention |
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Prevalence of Cholesterol Treatment Eligibility andMedication Use Among Adults - United States, 2005-2012 |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). Often called 'the Voice of CDC,' the MMWR series is the agency's primary vehicle for scientific publication of timely, reliable, authoritative, accurate, objective, and useful public health information and recommendations. MMWR readership predominately consists of physicians, nurses, public health practitioners, epidemiologists and other scientists, researchers, educators, and laboratorians. |
| medication bottles | 0.412854 |
| major risk factor | 0.376371 |
| eligibility criteria | 0.371258 |
| low-density lipoprotein cholesterol | 0.443804 |
| fasting laboratory | 0.370869 |
| myocardial infarction | 0.37005 |
| public health practitioners | 0.427002 |
| Ariadne K. DeSimone | 0.372328 |
| significant differences | 0.41761 |
| atherosclerotic cardiovascular disease | 0.378738 |
| total cholesterol | 0.398005 |
| high cholesterol foods | 0.426998 |
| ASCVD risk | 0.398038 |
| high blood level | 0.373019 |
| prescription medication interview.†| 0.442759 |
| high cholesterol | 0.435687 |
| prescription medication questionnaire | 0.426598 |
| high-density lipoprotein cholesterol | 0.428076 |
| lower your cholesterol | 0.398742 |
| Current cholesterol-lowering medication | 0.55065 |
| complete cholesterol management | 0.445212 |
| prescription medication file | 0.428544 |
| public health | 0.449643 |
| cardiovascular disease | 0.392831 |
|
| racial/ethnic groups | 0.384039 |
| Million Hearts initiative | 0.396719 |
| Carla Mercado | 0.371719 |
| current eligibility guidelines | 0.377828 |
| cholesterol treatment guidelines | 0.472198 |
| U.S. adults | 0.438782 |
| cholesterol treatment | 0.696699 |
| electronic health records | 0.369529 |
| NHANES cycles | 0.392613 |
| recent national guidelines | 0.384168 |
| lifestyle modifications | 0.735736 |
| blood cholesterol | 0.387632 |
| 10-year ASCVD risk | 0.37529 |
| persons | 0.405351 |
| racial/ethnic disparities | 0.37874 |
| disease management programs | 0.426435 |
| cholesterol-lowering medication | 0.964343 |
| lifestyle modification questions | 0.374348 |
| cholesterol-lowering medications | 0.514272 |
| coronary heart disease | 0.422767 |
| ACC/AHA guidelines | 0.605959 |
| LDL cholesterol | 0.409054 |
| prescription medication | 0.470646 |
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