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Centers for Disease Control and Prevention |
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Acellular vaccine: Listen [MP3, 105 KB] A vaccine containing partial cellular material as opposed to complete cells. |
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Centers for Disease Control and Prevention |
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TB in Correctional Facilities is a Public Health Concern | CDC Features |
Tuberculosis (TB): Diagnosing and Treating TB in Correctional Facilities is a Key Component to TB Elimination in the United States. |
| temporary holding facilities | 0.386578 |
| important priorities | 0.294708 |
| bacteria | 0.219092 |
| correctional staff | 0.397005 |
| injection drug | 0.300652 |
| national park facilities | 0.390114 |
| Human Services | 0.293304 |
| overall population | 0.406494 |
| Risk factors | 0.299841 |
| U.S. Department | 0.29543 |
| state prisons | 0.297719 |
| correctional facilities | 0.776526 |
| Customs Enforcement | 0.294903 |
| greater risk | 0.39814 |
| incarcerated population | 0.350886 |
| military stockades | 0.296264 |
| high proportion | 0.30608 |
| history | 0.217329 |
| periodic follow-up screenings | 0.371797 |
| community | 0.236403 |
| CDC. Reported Tuberculosis | 0.398175 |
| TB control | 0.596937 |
| persons | 0.274514 |
| medical conditions | 0.302295 |
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| person | 0.233536 |
| human immunodeficiency virus | 0.387168 |
| Immigration | 0.21644 |
| United States | 0.644499 |
| relatively high rates | 0.386421 |
| TB elimination | 0.647059 |
| TB disease | 0.625829 |
| air | 0.219556 |
| American Indian Tribal | 0.377477 |
| key component | 0.406963 |
| close living quarters | 0.386893 |
| detention centers | 0.297581 |
| inmates | 0.245472 |
| public health concern | 0.393534 |
| local health departments | 0.365737 |
| TB cases | 0.608483 |
| Annual surveillance | 0.290277 |
| people | 0.236396 |
| TB | 0.961962 |
| juvenile correction centers | 0.37546 |
| untreated TB | 0.611372 |
| TB diagnosis | 0.573371 |
| police lockups | 0.296779 |
| time | 0.230643 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Radon Control Activities for Lung Cancer Prevention in National Comprehensive Cancer Control Program Plans, 2005 - 2011 - CDC |
Radon is the second leading cause of lung cancer among smokers and the leading cause among nonsmokers. The US Environmental Protection Agency recommends that every home be tested for radon. |
| Introduction
Radon | 0.54522 |
| home radon test | 0.525105 |
| radon efforts | 0.510552 |
| residential radon | 0.569948 |
| residential radon testing | 0.544861 |
| lung cancer | 0.731454 |
| Radon Action Plan | 0.536209 |
| radon policies | 0.515624 |
| indoor radon | 0.523352 |
| radon professional licensure | 0.559582 |
| Radon tests | 0.544246 |
| radon universal identification | 0.521536 |
| Indoor radon gas | 0.505798 |
| radon policy activities | 0.709708 |
| Radon mitigation activities | 0.55224 |
| current radon laws | 0.541258 |
| EPA radon program | 0.549983 |
| state-specific radon contacts | 0.525528 |
| radon test-kit distribution | 0.524609 |
| radon programs | 0.547979 |
| radon exposure | 0.499291 |
| radon mitigation | 0.628744 |
| radon testing | 0.655551 |
| radon | 0.929623 |
| radon interventions | 0.537014 |
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| radon building codes | 0.583365 |
| radon awareness | 0.546367 |
| Indoor Radon Abatement | 0.513414 |
| radon activities | 0.607214 |
| high radon levels | 0.644823 |
| comprehensive cancer control | 0.53887 |
| EPA-funded radon control | 0.526624 |
| radon concentrations | 0.509696 |
| Gorfien M. Radon | 0.50633 |
| radon mitigation techniques | 0.57073 |
| radon control programs | 0.622204 |
| radon levels | 0.6503 |
| radon program website | 0.531656 |
| State-level radon programs | 0.530115 |
| interim progress reports | 0.500316 |
| tribal radon control | 0.554798 |
| radon mitigation systems | 0.543422 |
| radon professionals | 0.58846 |
| general radon education | 0.536578 |
| Radon Proficiency Program | 0.547439 |
| state radon laws | 0.605442 |
| low-cost radon test | 0.51688 |
| Radon Scientists | 0.52434 |
| home-based radon health | 0.554857 |
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Centers for Disease Control and Prevention |
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Power Outages|Natural Disasters and Severe Weather |
Information on disasters. Provided by the Centers for Disease Control and Prevention (CDC). |
| family… | 0.339238 |
| Guide | 0.335933 |
| charcoal grills | 0.649458 |
| carbon monoxide | 0.950552 |
| General info | 0.582777 |
| hurricane | 0.369657 |
| steps | 0.367412 |
| flood | 0.369387 |
| food | 0.342904 |
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| heat-related illness | 0.64169 |
| water safety | 0.580568 |
| aftermath | 0.380931 |
| heat stress | 0.542196 |
| camp stoves | 0.599626 |
| powerline hazards | 0.69177 |
| carbon monoxide poisoning | 0.935865 |
| Extreme Heat Prevention | 0.74894 |
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Centers for Disease Control and Prevention |
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Ebola Outbreak - Going to West Africa? (800W x 452H) |
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Centers for Disease Control and Prevention |
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The Clinical Center - NIH Clinical Trials |
Learn more about the NIH Clinical Center, the world's largest hospital devoted exclusively to clinical investigation. On any given day, specialists -- all under one roof -- may be conducting research on musculoskeletal and skin diseases; cancer; dental and craniofacial disorders; eye disorders; heart, lung, and blood diseases; infectious diseases; medical genetics; mental health; or neurological disorders. It is a national resource! |
| NIH Clinical Center | 0.948854 |
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Centers for Disease Control and Prevention |
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SEED | Autism Spectrum Disorder (ASD) |
Autism Spectrum Disorders (ASDs) are a group of developmental disabilities that can cause significant social, communication and behavioral challenges. CDC is working to find out how many children have ASDs, discover the risk factors, and raise awareness of the signs. |
| Centers | 0.228591 |
| CDC | 0.235771 |
| data | 0.228651 |
| United States | 0.382013 |
| better idea | 0.349191 |
| disability | 0.263223 |
| Epidemiology | 0.229164 |
| health-related issues | 0.357401 |
| network | 0.228488 |
| disorders | 0.229917 |
| ASD | 0.84354 |
| smaller studies | 0.356467 |
| world | 0.231143 |
| children | 0.660662 |
| complex disorder | 0.362945 |
| causes | 0.232101 |
| things | 0.230541 |
| CADDRE | 0.228506 |
| research goals | 0.362892 |
| Questions | 0.229739 |
| health conditions | 0.692721 |
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| autism spectrum disorder | 0.511158 |
| child’s risk | 0.336973 |
| largest study | 0.372202 |
| developmental disabilities | 0.935615 |
| risk factors | 0.600596 |
| multi-year study | 0.381483 |
| patterns | 0.229158 |
| center | 0.228633 |
| pregnancy | 0.227968 |
| opportunity | 0.229267 |
| infancy | 0.23298 |
| families | 0.229482 |
| SEED study sites | 0.495601 |
| people | 0.231308 |
| experiences | 0.228009 |
| typical development | 0.486723 |
| way | 0.231265 |
| certain medical conditions | 0.473662 |
| possible risk factors | 0.479942 |
| behavioral characteristics | 0.365142 |
| person | 0.228693 |
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Centers for Disease Control and Prevention |
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Find Out If You Have Hepatitis C - It Could Save Your Life (100W x 265H) |
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Centers for Disease Control and Prevention |
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26th ADA Anniversary: Health Is for All of Us | CDC Features |
Adults with disabilities experience significant differences in health compared to adults who do not have disabilities. Visit Disability and Health Data System (DHDS) to understand the characteristics and needs of adults with disabilities in your state. |
| disability | 0.698849 |
| Health Data | 0.660115 |
| Risk Factor Surveillance | 0.613193 |
| inclusive programs | 0.568448 |
| significant differences | 0.582055 |
| health differences | 0.600885 |
| health topics | 0.598043 |
| interactive data | 0.57643 |
| state health departments | 0.645406 |
| disability researchers | 0.576286 |
| behavioral risk factors | 0.726292 |
| unique behavioral risk | 0.625569 |
| DHDS data source | 0.632004 |
| emotional problems | 0.566173 |
| positive difference | 0.577509 |
| difficulty | 0.616787 |
| Visit Disability | 0.586646 |
| adult functions | 0.57389 |
| special equipment | 0.569063 |
| City Health Officials | 0.744185 |
| disability organizations | 0.574568 |
| hearing disability | 0.573585 |
| sure people | 0.580967 |
| functional disability types* | 0.637814 |
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| American Association | 0.615544 |
| Visit DHDS | 0.575248 |
| healthcare providers | 0.566214 |
| United States | 0.573414 |
| adults | 0.725246 |
| poor health | 0.604899 |
| better access | 0.576141 |
| heart disease | 0.636259 |
| People’s symptoms | 0.571179 |
| public health professionals | 0.760466 |
| public awareness | 0.565946 |
| local health departments | 0.779863 |
| health care | 0.606531 |
| activity limitation | 0.574929 |
| good health | 0.603849 |
| chronic diseases | 0.565425 |
| health | 0.901428 |
| people | 0.681754 |
| physical activity | 0.56527 |
| National Association | 0.622398 |
| state-based data | 0.579708 |
| preventable factors | 0.573246 |
| disabilities | 0.903697 |
| high blood pressure | 0.75473 |
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Characterizing Adults Receiving Primary Medical Care in NewYork City: Implications for Using Electronic Health Records forChronic Disease Surveillance |
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. |
| data | 0.339388 |
| health insurance | 0.282384 |
| sensitivity analysis | 0.277284 |
| health care provider | 0.547189 |
| significant differences | 0.285654 |
| NYC HANES | 0.961842 |
| New York City | 0.888085 |
| in-care status | 0.289749 |
| adult New York | 0.272071 |
| vs NYC HANES | 0.326818 |
| not-in-care population | 0.421179 |
| primary care practices | 0.348203 |
| Nutrition Examination Survey | 0.319744 |
| NYC HANES participants | 0.350033 |
| neighborhood poverty | 0.28944 |
| health care contact | 0.290688 |
| self-rated health status | 0.280401 |
| York City residents | 0.300461 |
| NYC Macroscope | 0.277925 |
| New York School | 0.286359 |
| uninsured not-in-care population | 0.35738 |
| in-care questions | 0.283321 |
| vs | 0.380465 |
| chronic disease surveillance | 0.33337 |
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| in-care populations | 0.285385 |
| health indicators | 0.33291 |
| United States | 0.369085 |
| not-in-care populations | 0.380759 |
| NYC HANES interview | 0.315091 |
| prevalence estimates | 0.311391 |
| mental health treatment | 0.295015 |
| in-care population | 0.745892 |
| York City population | 0.279928 |
| NYC HANES vs | 0.310459 |
| York City Health | 0.315833 |
| in-care population estimates | 0.324704 |
| Community Health Survey | 0.364229 |
| CHS in-care population | 0.361965 |
| electronic health records | 0.277718 |
| health care coverage | 0.313217 |
| chronic conditions | 0.317829 |
| EHR-based prevalence estimates | 0.301622 |
| primary care data | 0.283518 |
| in-care participants | 0.311852 |
| York City Department | 0.301624 |
| current smoking frequency | 0.27511 |
| NYC HANES data | 0.302197 |
| primary care | 0.379336 |
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