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Centers for Disease Control and Prevention |
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Improving public health system performance through multiorganizational partnerships. |
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| partnerships target services | 0.589281 |
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| large-scale implementation partnerships | 0.587082 |
|
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| public health | 0.935229 |
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| medical care | 0.568442 |
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Centers for Disease Control and Prevention |
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Learn About Health Literacy |
This page defines health literacy and explains basic concepts. |
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| new developments | 0.282177 |
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| media | 0.213428 |
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| KB | 0.217734 |
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|
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| 5241 |
Centers for Disease Control and Prevention |
Html |
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Measures of Adiposity and Cardiovascular Disease Risk Factors, New York City Health and Nutrition Examination Survey, 2004 |
null |
| racial/ethnic groups | 0.407757 |
| national prevalence | 0.348965 |
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| CVD risk | 0.581919 |
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|
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| higher obesity prevalence | 0.357336 |
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| prevalence | 0.407952 |
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| noninstitutionalized New York | 0.368279 |
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| higher prevalence | 0.36138 |
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|
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Centers for Disease Control and Prevention |
Html |
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Zinc stearate - NIOSH Pocket Guide to Chemical Hazards |
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|
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| 7299 |
Centers for Disease Control and Prevention |
Html |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 12_0066 |
The variation in health outcomes among communities results largely from different levels of financial and nonfinancial policy investments over time; these natural experiments should offer investment and policy guidance for a business model on population health. |
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| expenditures | 0.879996 |
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|
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| health investment relationships | 0.581975 |
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| capita expenditures | 0.777735 |
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Centers for Disease Control and Prevention |
Html |
en |
Fast Facts on Healthy Swimming - Healthy Swimming & Recreational Water |
null |
| MPEG | 0.276361 |
| PDF | 0.201634 |
| PPT | 0.326381 |
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| email address | 0.716575 |
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|
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Centers for Disease Control and Prevention |
Html |
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Preventing Chronic Disease - CDC: Volume 10, 2013: 12_0337 |
Volumen 10 — el 08 de agosto de 2013. |
| Protección Ambiental | 0.836982 |
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Centers for Disease Control and Prevention |
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TB Cases Reported as Diagnosed During Incarceration | CDC Features |
Tuberculosis (TB): Diagnosing and Treating TB in Correctional Facilities is a Key Component to TB Elimination in the United States. |
| federal prison | 0.750239 |
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Centers for Disease Control and Prevention |
Html |
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Cancer Registries: Increasing Screening in Underserved Areas |
The following examples show how cancer registries in CDC’s National Program of Cancer Registries are using their data to fight cancer in underserved areas. |
| HIV-positive men | 0.358632 |
| healthy choices | 0.362505 |
| colorectal cancer screening | 0.82986 |
| Ohio Comprehensive Cancer | 0.789755 |
| cancer control coalitions | 0.616399 |
| Ohio Cancer Incidence | 0.592972 |
| ovarian cancer | 0.539814 |
| low-cost screening services | 0.525708 |
| kind | 0.395057 |
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| Factor Surveillance | 0.351937 |
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| public hospitals | 0.473508 |
| Ohio Behavioral Risk | 0.503547 |
| census-tract socioeconomic status | 0.470624 |
| low socioeconomic status | 0.483184 |
| new cases | 0.348206 |
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| hereditary breast | 0.350011 |
|
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| lower their risk | 0.363942 |
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| certain kind | 0.382925 |
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| Hospital staff | 0.346442 |
| health care | 0.506902 |
| mobile mammography van | 0.523231 |
| health care systems | 0.479337 |
| late stage | 0.363342 |
| Louisiana Tumor Registry | 0.456485 |
| anal cancer | 0.770135 |
| indoor tanning | 0.367974 |
| demographic data | 0.347008 |
| people | 0.402372 |
| cancer screening tests | 0.578868 |
| Control Program found— | 0.495413 |
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| squamous cell carcinoma | 0.478749 |
|
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Centers for Disease Control and Prevention |
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Scale-up of HIV Viral Load Monitoring - Seven Sub-SaharanAfrican Countries |
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. |
| viral load monitoring | 0.823742 |
| information management systems | 0.350664 |
| sub-Saharan African countries | 0.333609 |
| laboratory information management | 0.353256 |
| post–scale-up periods | 0.344874 |
| Global HIV/AIDS | 0.37015 |
| viral load | 0.935379 |
| viral load platforms | 0.455272 |
| early ART initiation | 0.33624 |
| viral suppression | 0.497149 |
| scale-up hindered progress | 0.34975 |
| load testing coverage | 0.39744 |
| health care providers | 0.33095 |
| National Health Laboratory | 0.335205 |
| laboratory database | 0.332684 |
| World Health Organization | 0.337033 |
| load monitoring coverage | 0.390317 |
| Global Health | 0.36645 |
| viral load assay | 0.476059 |
| countries | 0.360348 |
| Inefficient specimen transport | 0.332884 |
| post–scale-up period | 0.370315 |
| HIV treatment recommendations | 0.331009 |
| Namibia | 0.331544 |
| South Africa | 0.460331 |
|
| viral load results | 0.460902 |
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| global diagnostic access | 0.335068 |
| viral load suppression | 0.526276 |
| CУДte d'Ivoire | 0.429164 |
| national monitoring strategy | 0.363737 |
| routine viral load | 0.717729 |
| viral suppression rates | 0.406093 |
| laboratory information systems | 0.332993 |
| sub-Saharan Africa | 0.376556 |
| HIV RNA concentration | 0.332302 |
| load testing gap | 0.383678 |
| viral suppression levels | 0.438408 |
| CDC laboratory liaisons | 0.337729 |
| viral load testing | 0.722579 |
| laboratory-confirmed viral suppression | 0.41771 |
| specimen transport | 0.375669 |
| patient management | 0.337141 |
| pre–scale-up period | 0.361691 |
| viral load technologies | 0.454055 |
| ART patients | 0.413699 |
| load monitoring scale-up | 0.501655 |
| HIV infection | 0.375783 |
| viral load scale-up | 0.511302 |
|
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