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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
812	Centers for Disease Control and Prevention	Html	en	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	CLICK HERE
6859	Centers for Disease Control and Prevention	Html	en	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	CLICK HERE
7238	Centers for Disease Control and Prevention	Html	en	Race/Ethnicity, Adults 18 to 49 Years - Estimates from the Behavioral Risk Factor Surveillance System (BRFSS), National Immunization Survey (NIS), and the National 2009 H1N1 Flu Survey (NHFS)	Recent Influenza Vaccination Trends across Influenza Seasons, Race/Ethnicity, Adults 18 to 49 Years - CDC	Native Hawaiian 0.498813 Pacific Islander 0.542955 data 0.451997 report Final estimates 0.559783 season estimates 0.318508 United States 0.314409 influenza vaccination coverage 0.714193 methods 0.309454 U.S. civilian population 0.473142 Risk Factor Surveillance 0.508377 recent influenza seasons 0.449146 seasonal influenza vaccination 0.979331 Monovalent Vaccination Coverage 0.556993 vaccination coverage 0.759149 Alaska Native 0.461218 Excludes U.S. territories 0.508293 Additional estimates 0.323855 estimates 0.771158	high risk conditions 0.327917 National Immunization Survey 0.293503 vaccination periods 0.351111 data sources 0.229886 influenza season 0.510324 H1N1 Flu Survey 0.479578 Table 7-B 0.214925 Table 7-A 0.214621 confidence interval half-width 0.304003 BRFSS adult estimates 0.417067 Coverage estimates 0.344285 Confidence Interval 0.315002 Data Source 0.411163 vaccination recommendations 0.355704 vaccination data 0.387413 analytic methods 0.217259 Behavioral Risk Factor 0.508749	CLICK HERE
8363	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Gaps in Survey Data on Cancer in American Indian and Alaska Native Populations: Examination of US Population Surveys, 1960 - 2010 - CDC	Population-based data are essential for quantifying the problems and measuring the progress made by comprehensive cancer control programs. However, cancer information specific to the American Indian/Alaska Native (AI/AN) population is not readily available. We identified major population-based surveys conducted in the United States that contain questions related to cancer, documented the AI/AN sample size in these surveys, and identified gaps in the types of cancer-related information these surveys collect.	data extraction form 0.432646 Native Adult Tobacco 0.403927 data 0.873475 death certificate data 0.405098 survey data sources 0.478709 cancer data gaps 0.416125 National Health Interview 0.40452 data collection methods 0.444029 Risk Behavior Survey 0.408897 Youth Tobacco Survey 0.408245 AI/AN sample size 0.771664 sample size 0.944272 data sources 0.524251 Indian Adult Tobacco 0.403987 Health Interview Survey 0.434035 Population-based data 0.42338 AI/AN sample percentage 0.409539 major survey data 0.428156 population-based surveys 0.538972 cancer information specific 0.422488 survey 0.792024 Mortality Followback Survey 0.452125 cancer survey data 0.453749 inadequate AI/AN sample 0.413434 sample size information 0.534147	SD-Tribal PRAMS 0.407573 surveys 0.782619 AI/AN population 0.629574 Health Information National 0.452893 comprehensive cancer control 0.421196 Current Population Survey 0.426026 survivorship information data 0.413312 National Cancer Institute 0.427124 Adult Tobacco Survey 0.56967 major population-based surveys 0.461087 ambulatory medical care 0.554292 National Immunization Survey 0.427639 Information National Trends 0.415318 survey data 0.521507 health 0.554142 survey data collection 0.411069 data collection 0.685233 cancer-related information 0.464095 Alaska Native Adult 0.404828 Medical Care Survey 0.48814 Introduction Population-based data 0.408577 National Trends Survey 0.420361 information 0.754169 cancer 0.66917	CLICK HERE
9637	Centers for Disease Control and Prevention	Html	en	Asthma - BRFSS 2008 - Table L7 Lifetime Asthma Prevalence Rate (Percent) and Prevalence (Number) by Income and State or Territory	BRFSS 2008 - Table L7 Lifetime Asthma Prevalence Rate (Percent) and Prevalence (Number) by Income and State or Territory	Microsoft PowerPoint file 0.360182 Table L7 Lifetime 0.405732 CDC 0.378081 Lifetime Asthma Prevalence 0.591039 Microsoft Word file 0.36157 Technical Information 0.375932 Search Form Controls 0.581313 Adult Asthma Data 0.385747 Child Table 0.887714 Prevalence Data 0.372912 file 0.522183 Clifton Road Atlanta 0.375819 GA 0.374488 small sample size 0.364055 Prevalence Tables 0.392565 sample size 0.383142 Microsoft Excel file 0.359914 Map C1 0.356624 Tweet Share Compartir 0.406758 U.S. Total** 0.710326 Table L2 0.492421 Table 0.950549 *CI denotes confidence 0.366394	Asthma Call-back Survey 0.355142 Table L7 0.531246 page options Skip 0.404269 Search Controls 0.403124 )|| 0.409871 Child Table L2 0.463071 different file formats 0.364218 Adult Technical Information 0.352683 Map R1 0.362767 file formats 0.368531 Asthma 0.595223 10.6 0.594991 Apple Quicktime file 0.36732 14.1 0.76504 Child Table C2 0.461987 Asthma Prevalence Rate 0.590246 NCHS Asthma FastStats 0.35732 confidence interval 0.380049 Table C2 0.491062 18.2 0.424165 14.5 0.447942 National Asthma Control 0.352699 Adult Self-Reported Lifetime 0.394183	CLICK HERE
10621	Centers for Disease Control and Prevention	Html	en	Frequently Asked Questions about the Model Aquatic Health Code (MAHC) for Potential Users | Model Aquatic Health Code	null	CDC 0.494942 pool inspection program 0.46942 safety guidance documents 0.472029 General Information page 0.509427 federal agency 0.500125 disease prevention practices 0.518651 waterborne disease 0.491303 robust risk reduction 0.470933 diarrheal disease cryptosporidiosis 0.522957 aquatic facilities 0.775228 additional secondary disinfection 0.482566 chlorine-tolerant parasite 0.507145 MAHC design 0.449427 federal law 0.667756 various pool codes 0.504366 code officials 0.483443 MAHC 0.808622 public health officials 0.65814 VGB 0.465008 Graeme Baker Pool 0.482984 public health experts 0.523848 traditional chlorination practices 0.471083 public health agencies 0.610917 outbreaks 0.47833 environmental public health 0.543005	substantial alteration 0.493634 United States 0.60418 recreational water illness 0.582698 aquatic health codes 0.532534 principal regulatory responsibility 0.619024 outbreak investigations 0.505512 regulatory authority 0.47905 aquatics sector 0.621858 Crypto outbreaks 0.45991 local health departments 0.674276 public health 0.939494 recreational water 0.688464 aquatics industry 0.493561 public health concerns 0.526073 unblockable drain 0.500258 Consumer Product Safety 0.482067 local public health 0.611663 new construction 0.487892 federal regulatory authority 0.471759 increased-risk aquatic venues 0.507757 local government level 0.525185 public pools 0.676427 Spa Safety Act 0.484351 suction outlet cover 0.478314	CLICK HERE
10778	Centers for Disease Control and Prevention	Html	en	CDC 63rd Annual Epidemic Intelligence Services Conference Kicks Off Monday | Media Advisory | CDC Online Newsroom | CDC	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	Media wishing 0.49654 disease detectives 0.52117 Centers 0.417776 Monday 0.442918 current EIS officers 0.878282 EIS graduates 0.731181 presentations 0.427785 CDC’s EIS 0.931971 two-year postgraduate program 0.59413 Prevention 0.417737 skills 0.415797 public health challenges 0.594775 CDC health initiatives 0.694947 life-saving work 0.525019 physicians 0.41584 Intelligence Service conference 0.574552 Disease Control 0.517289 antibiotic resistance 0.500979 Atlanta 0.416044 EIS officers 0.913354 prescription drug overdose 0.585413 U.S. DEPARTMENT 0.49273	http://www.cdc.gov/EIS/Conference.html 0.415657 Important Instructions 0.496659 infectious disease outbreaks 0.612329 health professionals 0.514844 Epidemic Intelligence Service 0.77809 EIS conference agenda 0.817186 63rd Annual Epidemic 0.653522 Crowne Plaza Ravinia 0.608486 incoming class 0.516534 kind 0.414686 epidemiology training program 0.582754 lead state epidemiologists 0.592639 epidemics 0.427932 Thursday 0.416306 Nearly half 0.495101 Ashford Dunwoody Road 0.60453 HUMAN SERVICES 0.491931 CDC Media Relations 0.664486 CDC Directors 0.595742 global health security 0.586581 Hotel 0.416088	CLICK HERE
13872	Centers for Disease Control and Prevention	Html	en	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	CLICK HERE
14595	Centers for Disease Control and Prevention	Html	en	CDC Releases Guideline for Prescribing Opioids for Chronic Pain - Press Release	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	Health Insurance Marketplace 0.388928 CDC’s National 0.375801 prescription opioid overdose 0.860918 prescription drug misuse 0.448555 normal tissue healing 0.3997 pain management. 0.419483 drug-overdose epidemic 0.349095 opioid prescribing practices 0.632289 opioid prescriptions—treating adult 0.672005 CDC Guideline 0.571831 pain medication 0.405692 primary care providers 0.462262 effective treatment 0.423156 Disease Control 0.327088 new recommendations 0.33826 overdose deaths 0.525464 Secretary Sylvia Burwell 0.385074 prescription opioids 0.38316 health care providers 0.417791 prescription opioid overdoses 0.70962 CDC Director Tom 0.485968 patients 0.395478 chronic pain—is 0.365241 pain management 0.416474 patient care 0.331024	Affordable Care Act 0.407821 primary care physicians 0.427001 opioid use disorder 0.654092 guideline 0.636912 HHS-wide opioid initiative 0.615425 end-of-life care 0.447589 rigorous scientific process 0.39255 surgical care coverage 0.413899 chronic pain 0.99203 United States 0.525385 important parity protections 0.391515 U.S. government 0.325975 palliative care 0.336985 Prescribing Opioids 0.394884 new guideline 0.561232 public health concern 0.408311 substance use disorder 0.372771 Abuse Prevention Plan 0.392662 active cancer treatment 0.430494 opioid medications 0.614162 opioid misuse 0.852476 primary care 0.542338 national Prescription Drug 0.417793 disorder treatment options 0.420604	CLICK HERE
16471	Centers for Disease Control and Prevention	Html	en	Other Flu Websites	Other Flu Websites including 2009 H1N1, avian, canine, swine, bat, variant, and pandemic - CDC	influenza 0.92291 type A influenza 0.706601 infection 0.240721 illnesses 0.236729 Swine influenza 0.719151 navigation Skip 0.555747 Avian influenza 0.740037 pigs 0.431144 seals 0.23965 respiratory disease 0.397391 community mitigation strategies 0.544198 ability 0.233055 human-to-human transmission 0.386377 whales 0.243665 list Skip 0.555893	influenza pandemic 0.697163 Influenza A viruses 0.83913 page options Skip 0.739113 NPIs 0.233159 people 0.26064 ducks 0.245154 spread 0.234642 chickens 0.248638 different animals 0.409358 cats 0.236929 influenza viruses 0.815115 influenza virus 0.68005 outbreaks 0.247364 actions 0.234438	CLICK HERE