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Improving public health system performance through multiorganizational partnerships. |
null |
| partnerships target services | 0.589281 |
| public health interventions | 0.594353 |
| Partnerships program | 0.57502 |
| government public health | 0.592789 |
| incentives hinder partnerships | 0.607248 |
| Rev Public Health | 0.572131 |
| public health approaches | 0.587207 |
| public health surveillance | 0.59088 |
| multiple public health | 0.575685 |
| public health systems | 0.593443 |
| public health services | 0.586455 |
| rural public health | 0.575779 |
| population health | 0.603174 |
| collective action | 0.578411 |
| public health activities | 0.798134 |
| BMC Public Health | 0.569778 |
| public health functions | 0.579792 |
| denser partnerships | 0.570908 |
| Public Health Performance | 0.580858 |
| public health practice | 0.581895 |
| collaborative partnerships | 0.56761 |
| community health | 0.569433 |
| health care organizations | 0.593187 |
| public health agencies | 0.703556 |
| large-scale implementation partnerships | 0.587082 |
|
| Public health delivery | 0.59074 |
| cost savings | 0.566033 |
| public health partnership | 0.582403 |
| public health funding | 0.571333 |
| public health partnerships | 0.804241 |
| core public health | 0.581146 |
| development partnerships | 0.574835 |
| health insurers | 0.562451 |
| implementation partnerships | 0.593007 |
| public health professionals | 0.582288 |
| public health | 0.935229 |
| health care | 0.612181 |
| multiorganizational partnerships | 0.569142 |
| nonclinical public health | 0.581543 |
| public health programs | 0.598697 |
| public health actions | 0.572909 |
| medical care | 0.568442 |
| local public health | 0.632951 |
| I. Public health | 0.573467 |
| intersectoral partnerships | 0.583541 |
| successful partnerships | 0.567374 |
| public health settings | 0.574316 |
| organizations | 0.601976 |
| public health agency | 0.612905 |
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Measures of Adiposity and Cardiovascular Disease Risk Factors, New York City Health and Nutrition Examination Survey, 2004 |
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| racial/ethnic groups | 0.407757 |
| national prevalence | 0.348965 |
| lower prevalence | 0.374886 |
| City adult population | 0.348057 |
| York City Hispanics | 0.364138 |
| central adiposity | 0.356588 |
| high school education | 0.343659 |
| NYC HANES | 0.452698 |
| New York City | 0.997657 |
| CVD risk | 0.581919 |
| large New York | 0.3422 |
| plasma glucose measurement | 0.342383 |
| Nutrition Examination Survey | 0.406391 |
| obesity | 0.395163 |
| waist circumference | 0.633997 |
| body mass index | 0.350506 |
| elevated adiposity | 0.344448 |
| elevated waist-to-height ratio | 0.587085 |
| fasting plasma glucose | 0.342867 |
| elevated waist circumference | 0.488323 |
| associations | 0.346573 |
| excess adiposity | 0.44456 |
| adiposity measure | 0.381896 |
| adiposity indicators | 0.36262 |
|
| City adult residents | 0.356891 |
| higher obesity prevalence | 0.357336 |
| CVD risk factor | 0.353366 |
| prevalence | 0.407952 |
| York City adult | 0.406708 |
| Renu K. Garg | 0.348658 |
| different racial/ethnic groups | 0.353221 |
| Elizabeth Needham Waddell | 0.346186 |
| optimal adiposity measure | 0.353485 |
| participants | 0.345075 |
| R. Charon Gwynn | 0.348175 |
| York City Health | 0.382369 |
| annual household income | 0.342277 |
| waist-to-height ratio | 0.624791 |
| high prevalence | 0.342654 |
| York City Department | 0.351479 |
| national prevalence estimates | 0.344864 |
| age-adjusted New York | 0.344551 |
| noninstitutionalized New York | 0.368279 |
| adiposity measures | 0.381024 |
| York City adults | 0.434437 |
| higher prevalence | 0.36138 |
| CVD risk factors | 0.558605 |
| hypertension | 0.350929 |
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Centers for Disease Control and Prevention |
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Zinc stearate - NIOSH Pocket Guide to Chemical Hazards |
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| 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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Centers for Disease Control and Prevention |
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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. |
| data collection efforts | 0.717313 |
| data | 0.940679 |
| human service programs | 0.599508 |
| county | 0.578662 |
| expenditure data | 0.650426 |
| population health literature | 0.589648 |
| health outcomes | 0.646614 |
| WIC expenditures | 0.588434 |
| Wisconsin Population Health | 0.595367 |
| school districts | 0.653911 |
| human health hazard | 0.579989 |
| Health Services staff | 0.588171 |
| possible expenditures | 0.585542 |
| various health outcomes | 0.577845 |
| population health | 0.878332 |
| Community Health Data | 0.614656 |
| population health resource | 0.602852 |
| income tax credit | 0.610915 |
| health statistics | 0.686045 |
| health statistics information | 0.596517 |
| annual expenditures | 0.585177 |
| Community Health Improvement | 0.572055 |
| expenditures | 0.879996 |
| nonfinancial policy investments | 0.583917 |
|
| Population Health Institute | 0.610457 |
| Wisconsin-Madison Population Health | 0.565229 |
| Medicaid health maintenance | 0.565946 |
| expenditures data | 0.647218 |
| Wisconsin Department | 0.611372 |
| federal expenditures | 0.580338 |
| population health expenditures | 0.68257 |
| health investment relationships | 0.581975 |
| Health Statistics Vision | 0.58211 |
| information technology systems | 0.677855 |
| local health departments | 0.720024 |
| public health | 0.697762 |
| Wisconsin | 0.641076 |
| health care | 0.577499 |
| total expenditures | 0.683937 |
| health issue group | 0.567144 |
| public expenditures | 0.621506 |
| public health nursing | 0.597015 |
| welfare program rules | 0.57869 |
| health | 0.957019 |
| human services | 0.822464 |
| state expenditures | 0.666847 |
| policy makers | 0.592868 |
| capita expenditures | 0.777735 |
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Centers for Disease Control and Prevention |
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MMWR News Synopsis: August 9, 2012 |
CDC Media Relations - MMWR News Synopsis: July 19, 2012 |
| pre-exposure prophylaxis | 0.477615 |
| international clinical trials | 0.534173 |
| anti-HIV medication | 0.475621 |
| alternative treatment options | 0.525597 |
| cephalosporin resistance | 0.475597 |
| Hispanic high school | 0.55886 |
| tobacco control programs | 0.5716 |
| National Center | 0.545378 |
| middle school females | 0.555968 |
| recent laboratory data | 0.52707 |
| TB Prevention | 0.545938 |
| Viral Hepatitis | 0.546661 |
| black high school | 0.561362 |
| PrEP interim guidance | 0.556475 |
| injectable antibiotic | 0.486014 |
| first-line treatment option | 0.534645 |
| heterosexual sex | 0.477761 |
| United States | 0.542838 |
| gonorrhea | 0.509537 |
| antiretroviral medication | 0.476286 |
| News Media Line | 0.656868 |
| key prevention services. | 0.53428 |
| significant changes | 0.479465 |
| CDC issues | 0.52469 |
| STD Treatment Guidelines | 0.5412 |
|
| new treatment options | 0.528817 |
| CDC
Division | 0.540419 |
| percent | 0.531001 |
| interim guidance | 0.581028 |
| steep rate | 0.480954 |
| slow decline | 0.482293 |
| regular HIV testing | 0.544206 |
| middle school | 0.656597 |
| American middle school | 0.567975 |
| 11-year downward trend | 0.55875 |
| final recommended class | 0.525304 |
| tobacco product | 0.501441 |
| middle school students | 0.568375 |
| Electronic Media | 0.483653 |
| high risk. Physicians | 0.542407 |
| high school students | 0.903243 |
| HIV infection. CDC | 0.597478 |
| heterosexual sex. | 0.479598 |
| oral antibiotic cefixime | 0.541061 |
| high school females | 0.564181 |
| steady funding cuts | 0.548754 |
| time gonorrhea | 0.505725 |
| middle school males | 0.557116 |
| recent lab data | 0.523349 |
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Centers for Disease Control and Prevention |
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About Advance Care Planning - Aging |
The primary audience for the Advance Care Planning course is public health and aging services professionals who serve adults and their families. |
| health education | 0.550542 |
| various communities | 0.446595 |
| Care Planning course | 0.51697 |
| legal foundation | 0.446669 |
| Page | 0.454195 |
| Healthy Aging Program | 0.481481 |
| commercial supporters | 0.469525 |
| Course modules | 0.448876 |
| Health Promotion | 0.452431 |
| Disease Control | 0.566868 |
| cph recertification credits | 0.626838 |
| advance care planning | 0.924055 |
| commercial services | 0.468608 |
| services professionals | 0.491837 |
| unlabeled product | 0.446827 |
| community-based professionals | 0.451909 |
| health care proxy | 0.50602 |
| advance planning | 0.479294 |
| education contact | 0.512038 |
| Master Certified Health | 0.490873 |
| commercial products | 0.471326 |
| Public Health Professionals | 0.492928 |
| primary audience | 0.450001 |
| education requirements | 0.450305 |
|
| Program Web site | 0.478183 |
| advance directive | 0.473103 |
| education activity | 0.451973 |
| Secondary audiences | 0.447758 |
| consumers plan | 0.445528 |
| Certified Health Education | 0.537547 |
| palliative care | 0.45446 |
| education total Category | 0.48748 |
| National Board | 0.474276 |
| care planning documents | 0.569567 |
| key laws | 0.445717 |
| hospice care | 0.453503 |
| Health Education Specialists | 0.540035 |
| CDC provider number | 0.49487 |
| public health | 0.5822 |
| Health Education Credentialing | 0.50067 |
| level continuing education | 0.492359 |
| various types | 0.447098 |
| advance directives | 0.470806 |
| critical background information | 0.492435 |
| effective advance care | 0.521938 |
| education units | 0.451722 |
| various laws | 0.44698 |
| Public Health Examiners | 0.537711 |
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Preventing Chronic Disease | Gestational Age, Infant Birth Weight, and Subsequent Risk of Type 2 Diabetes in Mothers: Nurses™ Health Study II - CDC |
Women with a history of gestational diabetes mellitus (GDM) are at higher risk of developing type 2 diabetes (T2DM); however, little is known about the association between other common pregnancy complications (eg, preterm birth, macrosomia) and T2DM risk. |
| preterm birth | 0.934459 |
| study participants | 0.487685 |
| preterm infant | 0.494265 |
| future T2DM risk | 0.495047 |
| term birth weight | 0.501686 |
| GDM | 0.505827 |
| nonnormal birth weight | 0.541162 |
| first-pregnancy preterm | 0.49148 |
| gestational age | 0.621627 |
| T2DM risk | 0.577038 |
| risk factors | 0.500228 |
| body mass index | 0.527332 |
| pregnancy | 0.612032 |
| postterm birth | 0.52171 |
| extreme preterm delivery | 0.484795 |
| gestational diabetes mellitus | 0.545503 |
| term low birth | 0.58008 |
| preterm births | 0.484486 |
| spontaneous preterm birth | 0.542519 |
| J. Preterm delivery | 0.486119 |
| supplemental questionnaire | 0.496875 |
| infant birth weight | 0.536467 |
| common pregnancy complications | 0.483339 |
| Cox proportional hazards | 0.489781 |
| birth weight share | 0.490975 |
|
| proportional hazards models | 0.490509 |
| women | 0.615434 |
| T2DM | 0.613037 |
| study | 0.560947 |
| moderate preterm birth | 0.643518 |
| diabetes mellitus | 0.665344 |
| Health Study | 0.488498 |
| gestational diabetes | 0.662891 |
| pre-pregnancy body mass | 0.491018 |
| pregnancy complications | 0.567016 |
| preterm delivery | 0.530959 |
| birth weight | 0.864053 |
| biennial questionnaires | 0.487939 |
| Diabetes Care | 0.481159 |
| previous preterm birth | 0.523835 |
| birth weight infant | 0.50111 |
| incident diabetes mellitus | 0.489999 |
| study population | 0.486708 |
| moderate preterm delivery | 0.497836 |
| family history | 0.481317 |
| normal birth weight | 0.481074 |
| et al | 0.578184 |
| risk | 0.66696 |
| American Diabetes Association | 0.494466 |
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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 |
| juvenile detention | 0.546899 |
| tribal jails | 0.544436 |
| types | 0.343325 |
| state prison | 0.773793 |
| list Skip | 0.71979 |
| page options Skip | 0.932493 |
| military stockades | 0.522204 |
| federal park facilities | 0.675836 |
| type | 0.382544 |
| navigation Skip | 0.721577 |
|
| Figure | 0.345142 |
| persons | 0.343155 |
| correctional facility | 0.768284 |
| local jail | 0.775038 |
| TB diagnosis | 0.541906 |
| police lockups | 0.522658 |
| correctional facilities | 0.587572 |
| time | 0.385226 |
| ICE custody | 0.982999 |
| chart | 0.343409 |
|
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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 |
| viral load test | 0.460828 |
| 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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Our Work | IMMPaCt | CDC |
This page provides information about IMMPaCt's projects. Learn more... |
| various food vehicles | 0.63139 |
| FFI’s Executive | 0.674844 |
| various technical workgroups | 0.667693 |
| nutrition biomarkers | 0.582509 |
| country projects | 0.536662 |
| mineral nutrition | 0.649644 |
| Mineral Nutrition Information | 0.638955 |
| global guidelines | 0.548221 |
| global frameworks | 0.544813 |
| iodine deficiency worldwide | 0.680535 |
| UNICEF’s Nutrition | 0.572998 |
| cooperative agreement | 0.632835 |
| Micronutrient Initiative | 0.779584 |
| World Health Organization | 0.623661 |
| U.S. food fortification | 0.747951 |
| research activities | 0.598584 |
| home fortification | 0.747515 |
| program development | 0.536558 |
| Food Fortification Initiative | 0.974572 |
| global partners | 0.543939 |
| global forum | 0.560689 |
| iodine status | 0.560708 |
| micronutrient assessments | 0.636924 |
| technical resources | 0.535228 |
|
| iodine sufficiency | 0.568289 |
| country level activities | 0.627582 |
| key member | 0.535906 |
| technical support | 0.564864 |
| micronutrient adequacy | 0.683365 |
| technical assistance | 0.854218 |
| Inorganic Toxicology Lab | 0.603031 |
| micronutrient program effectiveness | 0.73959 |
| in-country projects | 0.54313 |
| industrially milled cereal | 0.661895 |
| Improved Nutrition | 0.538486 |
| mass food fortification | 0.741242 |
| Board chair position | 0.615488 |
| global-level nutrition projects | 0.664955 |
| IMMPaCt | 0.726902 |
| Global Alliance | 0.54267 |
| Iodine Deficiency Disorders | 0.681823 |
| Micronutrient Forum | 0.762104 |
| U.S. population | 0.588087 |
| various global documents | 0.677367 |
| multi-sector partners | 0.54766 |
| Nutritional Biomarkers Lab | 0.636318 |
| Management Team | 0.535754 |
| FFI vision | 0.676924 |
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