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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
4769	Centers for Disease Control and Prevention	Html	en	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	CLICK HERE
5015	Centers for Disease Control and Prevention	Html	en	Learn About Health Literacy	This page defines health literacy and explains basic concepts.	healthcare providers 0.27898 Patient Protection 0.298605 community leaders 0.279282 professionals 0.213788 pharmacist 0.220079 new developments 0.282177 health literacy skills 0.73862 health information 0.53324 Businesses 0.213525 media 0.213428 capacity 0.240199 measures 0.214132 health insurers 0.29983 Healthcare Advancement 0.279662 Institute 0.213753 KB 0.217734 nurse 0.214042 Organizational health literacy 0.490286 track 0.213695 potential 0.214294 government agencies 0.280983 basic health information 0.399639 process 0.216231	individual 0.216287 health literacy listserv 0.491463 good place 0.279541 appropriate health decisions 0.397352 degree 0.216312 Title 0.216363 resources 0.213627 sense 0.214177 services 0.274036 Affordable Care Act 0.379323 people 0.242842 dentist 0.21929 different types 0.284045 doctor 0.214255 site 0.21361 Researchers 0.214023 health literacy 0.923237 field 0.213661 person 0.214462 health situations 0.308455 organizations 0.227021 health literacy skill 0.494772 public health worker 0.374129	CLICK HERE
5241	Centers for Disease Control and Prevention	Html	en	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 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	CLICK HERE
6071	Centers for Disease Control and Prevention	Html	en	Zinc stearate - NIOSH Pocket Guide to Chemical Hazards	null	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	CLICK HERE
7299	Centers for Disease Control and Prevention	Html	en	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	CLICK HERE
8650	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	email address 0.716575 DOC 0.270026 different file formats 0.90859	CLICK HERE
9251	Centers for Disease Control and Prevention	Html	es	Preventing Chronic Disease - CDC: Volume 10, 2013: 12_0337	Volumen 10 — el 08 de agosto de 2013.	Protección Ambiental 0.836982 salud pública 0.984221 principal causa 0.857853	profesionales expertos 0.726238 programa ccc 0.864933	CLICK HERE
9641	Centers for Disease Control and Prevention	Html	en	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	CLICK HERE
10926	Centers for Disease Control and Prevention	Html	en	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 patients 0.399641 National Program 0.362919 statewide plan 0.348866 Cancer Control Program 0.791862 wait times 0.347836 Cancer Registries 0.468861 Factor Surveillance 0.351937 health care organizations 0.480314 public hospitals 0.473508 Ohio Behavioral Risk 0.503547 census-tract socioeconomic status 0.470624 low socioeconomic status 0.483184 new cases 0.348206 cancer stage 0.423202 later stage 0.373461 hereditary breast 0.350011	certain area 0.373035 genetics specialist 0.349481 comprehensive cancer control 0.989804 genetic counseling 0.496637 Oregon State Cancer 0.557344 lower their risk 0.363942 Ohio residents 0.505823 certain kind 0.382925 faith-based hospitals 0.356088 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 non-profit partners 0.375723 socioeconomic status 0.494377 squamous cell carcinoma 0.478749	CLICK HERE
13905	Centers for Disease Control and Prevention	Html	en	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	CLICK HERE