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Centers for Disease Control and Prevention |
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Trends in Uninsured Clients Visiting Health Centers Fundedby the Title X Family Planning Program - Massachusetts,2005-2012 |
Marion Carter1, Kathleen Desilets2, Lorrie Gavin3, Sue Moskosky2, Jill Clark4 (Author affiliations at end of text). |
| health-care insurance coverage | 0.422753 |
| health insurance | 0.907494 |
| lowest insurance coverage | 0.391206 |
| health centers | 0.596149 |
| insurance coverage | 0.519978 |
| reproductive health organization | 0.389789 |
| health care reform | 0.461912 |
| percentage | 0.450844 |
| private insurance | 0.390972 |
| publicly funded family | 0.418151 |
| health insurance coverage | 0.421056 |
| uninsured persons | 0.39594 |
| cervical cancer screening | 0.39744 |
| safety-net family planning | 0.4587 |
| family planning services | 0.771351 |
| health-care organizations | 0.42503 |
| Family Planning Annual | 0.404269 |
| family planning expansion | 0.433906 |
| young adults | 0.417103 |
| public health agencies | 0.400073 |
| health reform | 0.392039 |
| uninsured clients | 0.485465 |
| Title X program | 0.423214 |
| health insurance information | 0.426381 |
| private insurance companies | 0.390031 |
|
| health-care reform | 0.54855 |
| federal poverty level | 0.46658 |
| United States | 0.407629 |
| Title X–funded organizations | 0.414495 |
| client volume | 0.388138 |
| health-care providers | 0.410842 |
| family planning providers | 0.461756 |
| health insurance records | 0.415133 |
| family planning | 0.935107 |
| Massachusetts | 0.470794 |
| family planning program | 0.441408 |
| public health | 0.408553 |
| safety-net providers increases | 0.386903 |
| state health-care reform | 0.410834 |
| family planning clients | 0.603279 |
| safety-net providers | 0.437096 |
| health-care coverage | 0.399361 |
| health insurance plans | 0.416464 |
| public health programs | 0.405095 |
| community health centers | 0.485709 |
| income groups | 0.419913 |
| family planning coverage | 0.399386 |
| Title X-funded health | 0.39135 |
| Title X–funded health | 0.399404 |
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Consumer Factsheet: Protecting Kids From Tobacco |
null |
| right web address | 0.987879 |
| Español | 0.403508 |
| Language Assistance | 0.712207 |
| Português | 0.391584 |
| Kreyòl Ayisyen | 0.700648 |
| Instructions | 0.282468 |
| different file formats | 0.919531 |
| Tiếng Việt | 0.70734 |
| Deutsch | 0.348548 |
| help | 0.283342 |
|
| РуÑ?Ñ?кий | 0.283258 |
| Polski | 0.39029 |
| Tagalog | 0.362008 |
| options | 0.298124 |
| Français | 0.385004 |
| Downloading Viewers | 0.795919 |
| العربية | 0.436655 |
| information | 0.283148 |
| page | 0.385868 |
|
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| 5060 |
Centers for Disease Control and Prevention |
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Obesity and Overweight: Topics |
CDC's Obesity efforts focus on policy and environmental strategies to make healthy eating and active living accessible and affordable for everyone. |
| CDC | 0.224275 |
| ECE setting | 0.347647 |
| environmental strategies | 0.318135 |
| U.S. obesity | 0.532243 |
| latest state initiatives | 0.421851 |
| email address | 0.340998 |
| fact sheets | 0.320186 |
| High BMI | 0.355097 |
| active living | 0.318674 |
| Latest statistics | 0.315812 |
| interactive databases | 0.316256 |
| social media tools | 0.420852 |
| Community Efforts | 0.34631 |
| guidelines | 0.21909 |
| state efforts | 0.360293 |
| First-ever report | 0.348175 |
| food service | 0.321438 |
| overweight | 0.230686 |
|
| early childhood care | 0.434866 |
| Obesity Facts Obesity | 0.897257 |
| Flu Complications Adults | 0.506187 |
| groups | 0.22024 |
| Reports | 0.219156 |
| healthy eating | 0.31906 |
| physical activity | 0.317527 |
| Education State Indicator | 0.454847 |
| Obesity Maps Obesity | 0.911379 |
| schools | 0.219301 |
| childhood obesity | 0.584821 |
| Obesity efforts | 0.564242 |
| data systems | 0.316019 |
| prevention strategies | 0.319487 |
| varies | 0.233134 |
| Adult Obesity | 0.671965 |
| page | 0.222842 |
|
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| 6859 |
Centers for Disease Control and Prevention |
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The Epidemiology Workforce in State and Local Health Departments - United States, 2010 |
Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. |
| Epidemiologists epidemiology capacity | 0.362415 |
| federally funded positions | 0.220052 |
| environmental health | 0.241821 |
| federal preparedness funding | 0.219929 |
| New York City | 0.218187 |
| health department epidemiologists | 0.368845 |
| number | 0.266537 |
| public health departments | 0.225602 |
| federal stimulus funding | 0.351075 |
| health department level | 0.237717 |
| current epidemiology capacity | 0.220818 |
| state-level functional capacity | 0.213028 |
| state-funded positions | 0.218512 |
| epidemiology capacity | 0.375861 |
| oral health | 0.238426 |
| Matthew L. Boulton | 0.202791 |
| epidemiology capacity assessments | 0.259615 |
| state-funded epidemiologists | 0.314943 |
| functional epidemiology capacity | 0.305118 |
| City Health Officials | 0.24693 |
| state epidemiology workforce | 0.257471 |
| Territorial Epidemiologists | 0.444605 |
| additional epidemiologists | 0.30422 |
| health department workforce | 0.235766 |
| state epidemiologists | 0.39095 |
|
| previous CSTE ECAs | 0.225868 |
| federal funding streams | 0.215742 |
| public health workforce | 0.232734 |
| local-level epidemiologists | 0.403248 |
| program area | 0.224731 |
| epidemiologists | 0.742936 |
| states | 0.259661 |
| local health department | 0.49415 |
| health department epidemiologist | 0.211669 |
| epidemiology workforce | 0.654489 |
| competent epidemiology workforce | 0.24297 |
| state-level workforce | 0.230016 |
| state-level epidemiology workforce | 0.437062 |
| full-time equivalent epidemiologists | 0.393782 |
| local health departments | 0.935368 |
| public health | 0.309222 |
| health epidemiology workforce | 0.275787 |
| epidemiology workforce competence | 0.229685 |
| epidemiology workforce assessments | 0.265448 |
| vacant state-funded positions | 0.207733 |
| state-level epidemiologists | 0.629123 |
| local epidemiology workforce | 0.321377 |
| federal funding | 0.319115 |
| bioterrorism/emergency response | 0.258528 |
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Centers for Disease Control and Prevention |
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Healthy Housing Reference Manual - Chapter 14 Figures |
NCEH provides leadership to promote health and quality of life by preventing or controlling those diseases, birth defects, or disabilities resulting from interaction between people and the environment. Site has information/education resources on a broad range of topics, including asthma, birth defects, radiation, sanitation, lead in blood, and more. |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
|
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Centers for Disease Control and Prevention |
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Factores de riesgo de enfermedades crónicas en mujeres indoamericanas y nativas de Alaska en edad de procrear |
null |
| Amparo P | 0.957211 |
| Dietz PM | 0.948537 |
|
| Farr SL | 0.960591 |
| Estados Unidos | 0.519891 |
|
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Centers for Disease Control and Prevention |
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VETERINARY SAFETY AND HEALTH - CDC |
Veterinary medicine and animal care workers are at risk of exposure to many different chemical hazards including glutaraldehyde and other disinfectants, hazardous drugs, latex, pesticides, and waste anesthetic gases. Exposure to these chemicals may occur by dermal contact (touching the skin) and/or inhalation (being breathed in). Splashes may result in chemical contact with the skin, eyes, or mucous membranes. |
| NIOSH Hydrogen Sulfide | 0.708306 |
| Facility Occupational Risks | 0.414933 |
| injectable macrolide antibiotic | 0.281696 |
| NIOSH Waste Anesthetic | 0.757126 |
| Health Topic | 0.271048 |
| AVMA Waste Disposal | 0.313086 |
| State University Center | 0.392046 |
| NIOSH Latex Allergy | 0.707186 |
| Common Cleaning Products | 0.268596 |
| NIOSH Indoor Environmental | 0.810062 |
| NIOSH Workplace | 0.965719 |
| different cleaning products | 0.270767 |
| Pregnant Workers | 0.290576 |
| hazardous drugs | 0.545338 |
| NIOSH Nitrous Oxide | 0.71271 |
| Iowa State University | 0.392093 |
| OSHA Safety | 0.276085 |
| Health Care Workers | 0.663101 |
| NIOSH Workplace Solutions | 0.881862 |
| NIOSH Hazardous Drug | 0.773251 |
| waste anesthetic gases | 0.798392 |
| NIOSH Pocket Guide | 0.803707 |
| NIOSH Workplace Solution | 0.88352 |
| Veterinary Health Care | 0.432991 |
|
| Poison Control Centers | 0.266902 |
| NIOSH Personal Protective | 0.865639 |
| hazardous drug exposures | 0.464375 |
| User Safety Alert | 0.268613 |
| Public Health | 0.275609 |
| EPA Pesticide Health | 0.273952 |
| AVMA Phosphine product | 0.315869 |
| NIOSH respirator selection | 0.685128 |
| Best Management Practices | 0.265778 |
| mucous membranes | 0.301615 |
| different chemical hazards | 0.300027 |
| Personal Protective Equipment | 0.39383 |
| product label precautions | 0.271 |
| Animal Drug Safety | 0.279159 |
| Handling Micotil | 0.26567 |
| New Jersey Department | 0.266035 |
| NIOSH FACE Report | 0.777922 |
| OSHA Laboratory Safety | 0.287131 |
| NIOSH Occupational Exposure | 0.750658 |
| Veterinary Facility Occupational | 0.430035 |
| Publication No. | 0.669375 |
| NIOSH ALERT | 0.638496 |
| CDC Carbon Monoxide | 0.275697 |
| animal care workers | 0.341641 |
|
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Centers for Disease Control and Prevention |
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2008 National Report on Biochemical Indicators of Diet and Nutrition - Table 1.4 |
null |
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| 13872 |
Centers for Disease Control and Prevention |
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Systematic Review of Programs Treating High-Need andHigh-Cost People With Multiple Chronic Diseases or Disabilities inthe United States, 2008&ndash2014 |
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. |
| complex chronic conditions | 0.479984 |
| health care spending | 0.501179 |
| care services | 0.494037 |
| control group | 0.524915 |
| multiple chronic conditions | 0.980417 |
| successful clinical outcomes | 0.524191 |
| case management | 0.586826 |
| health outcomes | 0.487675 |
| health care interventions | 0.480375 |
| health care delivery | 0.521641 |
| medical care services | 0.486178 |
| comprehensive care programs | 0.490851 |
| primary care program | 0.484078 |
| health care context | 0.486742 |
| health care providers | 0.507034 |
| home-based primary care | 0.615536 |
| health care access | 0.486105 |
| health care services | 0.482233 |
| patients | 0.493545 |
| Affordable Care Act | 0.482811 |
| care coordination home | 0.500826 |
| significant health care | 0.500765 |
| expensive health care | 0.494468 |
| Home health care | 0.49439 |
| complex medical conditions | 0.480387 |
|
| health care utilization | 0.485848 |
| chronic care model | 0.501103 |
| comprehensive care | 0.502398 |
| transitional care | 0.496367 |
| palliative care | 0.552555 |
| clinical outcomes | 0.661379 |
| primary care nurse | 0.477172 |
| nurse care management | 0.47896 |
| academic medical center | 0.478556 |
| health care | 0.75703 |
| health care outcomes | 0.531518 |
| spending outcomes | 0.501184 |
| chronic disease self-management | 0.502015 |
| palliative care patients | 0.484903 |
| successful health care | 0.521702 |
| nursing home | 0.477929 |
| systematic review | 0.537541 |
| home care services | 0.487745 |
| affairs medical center | 0.480671 |
| disease management | 0.557189 |
| patient satisfaction | 0.58526 |
| home telehealth | 0.497445 |
| et al | 0.536452 |
| older adults | 0.481909 |
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Disparities in the Prevalence of Diagnosed Diabetes - UnitedStates, 1999-2002 and 2011-2014 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| physician-diagnosed diabetes | 0.397585 |
| poor dietary habits | 0.361299 |
| lowest prevalence | 0.367697 |
| low socioeconomic circumstances | 0.40765 |
| socioeconomic position gap | 0.458186 |
| regression-based summary measure | 0.417031 |
| health equity | 0.361073 |
| overall population | 0.440615 |
| diabetes risk reduction | 0.361088 |
| health disparities | 0.397562 |
| socioeconomic position indicator | 0.544903 |
| relative socioeconomic position | 0.428446 |
| substantial socioeconomic position | 0.44798 |
| absolute socioeconomic position | 0.435748 |
| absolute differences | 0.404708 |
| income-to-poverty ratio | 0.356883 |
| age-standardized prevalence | 0.490257 |
| educational disparities | 0.416227 |
| racial/ethnic populations | 0.355037 |
| socioeconomic groups | 0.404802 |
| socioeconomic disadvantage | 0.407345 |
| U.S. adult population | 0.375013 |
| socioeconomic subgroups | 0.385849 |
| IPR disparities | 0.433479 |
|
| self-reported physician-diagnosed diabetes | 0.387378 |
| socioeconomic advantage | 0.386131 |
| federal poverty level | 0.3953 |
| summary measure | 0.419062 |
| lowest diabetes prevalence | 0.401003 |
| educational attainment | 0.382976 |
| socioeconomic position indicators | 0.431388 |
| prevalence estimates | 0.363006 |
| percentage points | 0.356838 |
| prevalence | 0.530988 |
| IPR-related prevalence disparities | 0.434938 |
| diabetes prevalence | 0.477054 |
| absolute educational disparities | 0.403768 |
| socioeconomic position group | 0.425428 |
| absolute disparities | 0.396844 |
| public health | 0.358095 |
| socioeconomic position | 0.968844 |
| socioeconomic position domain | 0.418711 |
| age-standardized diagnosed diabetes | 0.386797 |
| U.S. population | 0.358465 |
| socioeconomic position groups | 0.427563 |
| socioeconomic patterning | 0.380817 |
| absolute difference | 0.373223 |
| absolute prevalence differences | 0.389491 |
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