| 642 |
Centers for Disease Control and Prevention |
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Smoke-Free Policies Result in High Levels of Compliance - Smoking & Tobacco Use |
Secondhand Smoke Fact Sheets. |
| Tobacco Smoke | 0.607294 |
| Smoke-Free New York | 0.653234 |
| national smoking restriction | 0.667648 |
| smokefree laws | 0.724034 |
| Los Angeles County | 0.59853 |
| York State Department | 0.752392 |
| Human Services | 0.606782 |
| partial smoking restrictions | 0.659214 |
| International Tobacco Control | 0.606424 |
| significant exemptions | 0.574856 |
| York City bars | 0.682772 |
| U.S. Department | 0.608614 |
| New York City | 0.864659 |
| Health Promotion | 0.59723 |
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| secondhand smoke | 0.614453 |
| Development Corporation.The State | 0.604117 |
| local smokefree laws | 0.699914 |
| national smokefree laws | 0.681312 |
| smoking areas | 0.673038 |
| New York State | 0.754756 |
| York City Economic | 0.617836 |
| municipal smokefree law | 0.683471 |
| comprehensive state | 0.576364 |
|
| tobacco products | 0.57419 |
| indoor areas | 0.813327 |
| observed smoking | 0.616731 |
| restaurants | 0.612697 |
| Indoor Air Act. | 0.602076 |
| comprehensive smokefree law | 0.691696 |
| high levels | 0.62033 |
| Long Term Compliance | 0.60065 |
| Comprehensive Smoke-Free Workplace | 0.620201 |
| smokefree law | 0.822923 |
| Small Business Services | 0.59616 |
| smokefree environment | 0.642745 |
| smoking | 0.745099 |
| New York | 0.978695 |
| Tobacco Control | 0.641999 |
| small bars | 0.602855 |
| bars | 0.729006 |
| Chronic Disease Prevention | 0.597279 |
| Fong GT | 0.596062 |
| York City Department | 0.71892 |
| comprehensive smokefree laws | 0.707203 |
| Various German states | 0.60256 |
| state smokefree law | 0.792044 |
| Tobacco Smoke Pollution | 0.605348 |
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Providing Health Data through the BRFSS | CDC Features |
How’s the health in your state? Find out how CDC’s Behavioral Risk Factor Surveillance System works year-round to provide the information experts need to answer this important question. |
| optional modules | 0.867778 |
| CDC | 0.735251 |
| Mortality Weekly Report | 0.730134 |
| State-Added Questions | 0.64513 |
| Risk Factor Surveillance | 0.936219 |
| health officials | 0.660363 |
| BRFSS data | 0.721322 |
| chronic disease rates | 0.704846 |
| BRFSS Fact Sheets | 0.749133 |
| health charts | 0.651645 |
| state health departments | 0.822367 |
| yearly surveillance summary | 0.729236 |
| BRFSS public Web | 0.755528 |
| state questions | 0.664488 |
| standard procedure | 0.730282 |
| Area Risk Trends | 0.716337 |
| trends data | 0.739736 |
| Asthma Call-back Survey | 0.741911 |
| SMART BRFSS | 0.64906 |
| childhood asthma module | 0.717054 |
| preventive health services | 0.774849 |
| Web site | 0.854344 |
| Behavioral Risk Factor | 0.752618 |
| BRFSS state coordinator | 0.787454 |
| core survey | 0.643687 |
|
| BRFSS staff check | 0.78401 |
| map data | 0.656312 |
| United States | 0.648059 |
| chronic health conditions | 0.780566 |
| GIS Data | 0.643353 |
| local health trends | 0.782298 |
| widely accepted measures | 0.687098 |
| states | 0.803463 |
| Carol Gotway Crawford | 0.699465 |
| core questions | 0.644991 |
| optional questions | 0.658905 |
| annual survey | 0.643075 |
| Chronic Disease Indicators | 0.705954 |
| individual states | 0.655084 |
| health care | 0.670503 |
| 50 states | 0.686907 |
| BRFSS public-use Web | 0.798279 |
| CDC staff | 0.698581 |
| BRFSS state coordinators | 0.804101 |
| important health topics | 0.743523 |
| BRFSS Web site | 0.767247 |
| health habits | 0.666051 |
| data release | 0.65617 |
| certain health behaviors | 0.771366 |
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Stop Stroke at Any Age | CDC Features |
Learn to recognize the signs and symptoms of stroke, and call 9-1-1 right away if you think someone might be having a stroke. The sooner you get treatment, the better your chances of recovery. |
| three-hour window | 0.451189 |
| effective stroke treatments | 0.638196 |
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| Kittner SJ | 0.487697 |
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| obese.3Poor diet | 0.45431 |
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| WISEWOMAN programs | 0.459025 |
| white men | 0.453635 |
| physically active keeps | 0.490283 |
| stroke risk | 0.601052 |
| women ages | 0.459153 |
| blood flow | 0.47952 |
| increased risk | 0.457339 |
| Stroke signs | 0.600143 |
| stroke—but stroke | 0.643681 |
| blood vessels | 0.465476 |
| Minorities. African-American men | 0.495668 |
| surprising number | 0.454665 |
| birth control pills | 0.496437 |
| overall number | 0.455084 |
| young adults | 0.59158 |
| chronic disease screenings | 0.482991 |
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| Stroke Program | 0.592462 |
|
| older people | 0.460213 |
| blood vessel | 0.476427 |
| United States | 0.504749 |
| age group | 0.456361 |
| hemorrhagic stroke | 0.63783 |
| African American man | 0.495363 |
| young people | 0.465251 |
| Prediabetes—when blood sugar | 0.514266 |
| younger ages | 0.507605 |
| good news | 0.458762 |
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| brain attack | 0.456401 |
| ischemic stroke | 0.638572 |
| younger people | 0.535294 |
| strokes | 0.464532 |
| good diet | 0.454645 |
| U.S. adults | 0.50132 |
| better your chances | 0.467821 |
| good nutrition choices | 0.490275 |
| stroke | 0.95255 |
| physical activity | 0.497774 |
| best chances | 0.45571 |
| public health efforts | 0.486449 |
| high blood pressure | 0.944479 |
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Centers for Disease Control and Prevention |
Html |
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FDA 2009 H1N1 (Swine) Flu Page |
2009 H1N1 (Swine) Flu Virus |
| H1N1 flu vaccine | 0.831247 |
| FTC Issue Joint | 0.493743 |
| Influenza Vaccine Production | 0.590274 |
| Fraudulent H1N1 Flu | 0.641581 |
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| H1N1 virus | 0.567502 |
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| federal government agencies | 0.501551 |
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| care professionals letter | 0.65655 |
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| personal protective equipment | 0.601288 |
| World Health Organization | 0.521588 |
| FDA Approves | 0.698383 |
| Swine Flu Outbreak | 0.661502 |
| FDA Approves Vaccines | 0.670621 |
| flu antiviral drugs | 0.617731 |
| FTC Warn Public | 0.496032 |
| flu diagnosis | 0.5393 |
| Dear health care | 0.666156 |
| H1N1 pandemic | 0.498065 |
| FDA Commissioner Addresses | 0.649719 |
|
| oral suspension | 0.531251 |
| antiviral medications | 0.520996 |
| Intravenous Antiviral Peramivir | 0.515294 |
| h1n1 flu virus | 0.972676 |
| Tamiflu Oral Suspension | 0.522929 |
| H1N1 Vaccines | 0.490574 |
| care professional fact | 0.490225 |
| FDA Approves Additional | 0.673065 |
| Administration Recommendations | 0.496668 |
| H1N1 Influenza Virus | 0.755139 |
| Health Care Providers | 0.595711 |
| Preventing Novel Influenza | 0.536384 |
| kit test results | 0.489636 |
| vaccine questions | 0.500997 |
| healthcare professionals | 0.495942 |
| health care | 0.68561 |
| emergency use authorizations | 0.502059 |
| swine influenza RT-PCR | 0.54409 |
| vaccine ingredients | 0.496417 |
| H1N1 Influenza Products | 0.58268 |
| Influenza Medicines | 0.534318 |
| FDA Authorizes Emergency | 0.876215 |
| FDA update | 0.647871 |
| Renal Dosing | 0.505375 |
|
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Science Clips - Monday, January 31, 2011 |
null |
| skin cancer risk | 0.873844 |
| equid herpesvirus-2 infection | 0.867564 |
| skin cancer prevention | 0.874584 |
| intertypic vaccine-related poliovirus | 0.870038 |
| public health genomics | 0.917723 |
| filter-based gas adsorption | 0.867499 |
| Inj Contr Saf | 0.879749 |
| PLoS One. | 0.982748 |
| nanoparticle surface area | 0.870095 |
| CDC Science Clips | 0.985151 |
| U.S. young adults | 0.875035 |
| arboviral disease threat | 0.872227 |
| Chief Science Officer | 0.883318 |
| herpes zoster disease | 0.868086 |
| Public Relat Res. | 0.880266 |
| Sobsey MD | 0.87772 |
| Stefaniak AB | 0.868953 |
| 2009 pandemic | 0.880396 |
| public relations practitioners | 0.875174 |
| Stephen B. Thacker | 0.945185 |
| Int J Epidemiol. | 0.878326 |
| pneumococcal polysaccharide vaccine | 0.871406 |
| congenital heart defects | 0.866255 |
| United States | 0.873923 |
|
| BMC Infect Dis. | 0.892595 |
| Borne Zoonotic Dis. | 0.872287 |
| Linked Mortality Study | 0.866017 |
| Non-fatal conductive energy | 0.866081 |
| short message service | 0.87536 |
| acute respiratory infection | 0.874543 |
| blood stream infection | 0.865424 |
| national birth defects | 0.871013 |
| Eastern equine encephalitis | 0.869558 |
| pandemic influenza | 0.875009 |
| Atlanta metropolitan area | 0.872563 |
| public health | 0.959082 |
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| tobacco prevention messages | 0.86878 |
| public health literature | 0.899212 |
| Older adult pedestrian | 0.866581 |
| B. Thacker CDC | 0.974352 |
| health care germicides | 0.891332 |
| lung alveolar macrophage | 0.865965 |
| Jan | 0.965852 |
| Infect Dis J. | 0.8833 |
| antiretroviral treatment adherence | 0.872612 |
| low birth weight | 0.873636 |
| Ventricular septal defects | 0.868136 |
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Violence and Homicide Among Youth - Health Communication |
Gateway to Health Communication and Social Marketing Practice - Violence and Homicide Among Youth |
| neighborhood park | 0.351299 |
| help parents | 0.350267 |
| principal’s office | 0.339275 |
| U.S. emergency departments | 0.485406 |
| tremendous impact | 0.385715 |
| community approaches | 0.342564 |
| left arm | 0.338612 |
| social services | 0.354384 |
| multiple individual | 0.352421 |
| Effective prevention strategies | 0.473684 |
| school-based programs | 0.35723 |
| property values | 0.349405 |
| homicide rate | 0.399201 |
| foul ball | 0.345018 |
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| violent rage | 0.345213 |
| physical harm | 0.370738 |
| Hispanic youth | 0.38754 |
| Indian/Alaska Native youth | 0.536704 |
| long-lasting reductions | 0.360957 |
| age-appropriate rules | 0.357457 |
| team members | 0.347069 |
| young adults | 0.390845 |
| physical assault-related injuries | 0.488845 |
| public health issue | 0.529815 |
|
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| death | 0.329527 |
| United States | 0.354142 |
| care costs | 0.347398 |
| age group | 0.534166 |
| homicide victims | 0.381161 |
| cause | 0.306301 |
| young people | 0.90894 |
| time outdoors | 0.351022 |
| fatal violence | 0.526796 |
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| neighborhood risks | 0.357205 |
| communications skills | 0.351105 |
| non-fatal injuries | 0.354005 |
| medical care | 0.351906 |
| African American youth | 0.521811 |
| Comprehensive strategies | 0.350561 |
| positive social interaction | 0.4646 |
| David hints | 0.345963 |
| Emergency service | 0.34898 |
| emotional harm | 0.366477 |
| non-violent ways | 0.355037 |
| assault charges | 0.345628 |
| school bus | 0.339883 |
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Congenital Heart Defects, Facts about Tetralogy of Fallot - NCBDDD |
CDC works to identify causes of birth defects and opportunities to prevent them. By applying a public health approach incorporating three essential elements—surveillance or disease tracking, research to identify causes, and prevention research and programs—we can rapidly translate scientific findings into appropriate public health interventions. |
| normal heart | 0.289709 |
| lower chambers―or | 0.244569 |
| Developmental Disabilities | 0.322209 |
| ventricular hypertrophy | 0.278033 |
| United States | 0.47124 |
| left ventricle | 0.252639 |
| tet spells | 0.243102 |
| health care provider | 0.901875 |
| national birth prevalence | 0.35202 |
| main pulmonary artery | 0.403945 |
| heart doctor | 0.264188 |
| National Birth Defects | 0.39592 |
| regular follow-up visits | 0.31903 |
| Disease Control | 0.465173 |
| pulmonary stenosis | 0.276503 |
| critical congenital heart | 0.585797 |
| care provider suspect | 0.346286 |
| birth defect | 0.455943 |
| pulmonary valve | 0.378134 |
| ventricular septal defect | 0.988617 |
| blue-looking skin | 0.238249 |
| pulse oximetry | 0.481433 |
| National Center | 0.318233 |
| heart defects | 0.454762 |
|
| risk factors | 0.337608 |
| infants | 0.25431 |
| copyright restrictions | 0.32301 |
| aortic valves | 0.244728 |
| critical CHD | 0.460181 |
| private usage | 0.320517 |
| blood vessels | 0.256287 |
| birth defects | 0.700786 |
| heart | 0.985501 |
| lower right chamber | 0.342986 |
| congenital heart defect | 0.65705 |
| heart murmur | 0.35451 |
| fetal echocardiogram | 0.367483 |
| bluish-looking skin | 0.360766 |
| right ventricle | 0.253275 |
| normal blood flow | 0.382415 |
| simple bedside test | 0.330783 |
| pulmonary atresia | 0.24997 |
| public domain | 0.319317 |
| baby | 0.403221 |
| tetralogy | 0.969161 |
| Fallot | 0.968866 |
| newborn screening | 0.341832 |
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Addressing Needs of Contacts of Ebola Patients During anInvestigation of an Ebola Cluster in the United States - Dallas,Texas, 2014 |
Charnetta L. Smith, MD1,2,3, Sonya M. Hughes, MPH4, Mateusz P. |
| County Medical Society | 0.598243 |
| formal needs assessment | 0.54715 |
| Mateusz P. Karwowski | 0.525568 |
| 4Dallas County Health | 0.547814 |
| Ebola contacts | 0.682339 |
| federal health officials | 0.568341 |
| community partner resources | 0.531294 |
| Liberian Community Association | 0.536482 |
| Ebola transmission | 0.619218 |
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| ebola response | 0.677656 |
| Independent School District | 0.57577 |
| Dallas County Voluntary | 0.523382 |
| possible future cases | 0.57836 |
| contact tracing | 0.672971 |
| Dallas County Ebola | 0.696173 |
| public health response | 0.555582 |
| local Liberian community | 0.553481 |
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| Ebola patients | 0.705376 |
| Ebola | 0.882344 |
| ambulance contacts | 0.569 |
|
| effective contact tracing | 0.563859 |
| Dallas Independent School | 0.530723 |
| Ebola virus disease | 0.725804 |
| Dallas County Medical | 0.538584 |
| charitable foundations | 0.561056 |
| Ebola Epidemiology/Laboratory Task | 0.660849 |
| Ebola case | 0.622448 |
| social isolation | 0.576106 |
| mental health resources | 0.643846 |
| Jessica C. Smith | 0.521759 |
| health care workers | 0.841745 |
| health care contacts | 0.634674 |
| public health emergency | 0.646528 |
| Contact tracers | 0.600057 |
| health care | 0.902556 |
| Dallas Ebola Investigation | 0.779664 |
| care worker contacts | 0.795173 |
| health care worker | 0.851148 |
| Sibeso N. Joyner | 0.522841 |
| future imported cases | 0.532211 |
| Ebola patient | 0.77767 |
| Charnetta L. Smith | 0.620757 |
| 3CDC Dallas Ebola | 0.691295 |
| Health Services Ebola | 0.71147 |
|
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Centers for Disease Control and Prevention |
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Microsite Home Page | Million Hearts |
Million Hearts microsite home page. |
| practice | 0.359471 |
| public health practitioners | 0.636369 |
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| Explore heart disease | 0.620383 |
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| clinician-led interventions | 0.46819 |
| Million Hearts® Action | 0.712324 |
|
| outdoor activity | 0.47696 |
| heart attacks | 0.658111 |
| hypertension treatment | 0.551902 |
| evidence-based protocols | 0.496435 |
| assess information | 0.470555 |
| clinical quality | 0.463242 |
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| stroke risks | 0.466914 |
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| cholesterol management | 0.679409 |
| heart disease | 0.983401 |
| latest data | 0.458659 |
| home blood pressure | 0.644673 |
| long-term exposure | 0.465179 |
| social media | 0.463012 |
| blood pressure monitoring | 0.841305 |
| Particle Pollution | 0.46956 |
| health IT-related tools | 0.623804 |
| national initiative | 0.492153 |
| adverse impact | 0.47525 |
| Guide series | 0.481468 |
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Gay and Bisexual Men's Health | CDC |
Learn more about the diverse population of men who have sex with men (MSM), including their unique public health needs. |
| well-being | 0.381244 |
| overview | 0.348783 |
| website | 0.34898 |
| different health | 0.546272 |
| CDC | 0.383721 |
| unique experiences | 0.599637 |
| services | 0.35047 |
| bisexual men | 0.974117 |
|
| issues | 0.348325 |
| high quality health | 0.79844 |
| mental health needs | 0.80505 |
| activities | 0.348725 |
| ability | 0.36929 |
| programs | 0.34859 |
| diverse community | 0.647819 |
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