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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
5248	Centers for Disease Control and Prevention	Html	en	Health Care Use and Costs for Participants in a Diabetes Disease Management Program, United States, 2007-2008	null	program participation 0.318692 educational mailings 0.300445 higher Charlson comorbidity 0.309155 program 0.62587 diabetes preceding program 0.355399 diagnosis code 0.318276 program participants 0.443855 health care benefits 0.312584 greater program benefits 0.307271 prior indication 0.3144 outcomes 0.313265 disease management program 0.472405 diabetes disease management 0.360425 controlled diabetes 0.334427 uncontrolled diabetes 0.906647 patient health care 0.306132 high health care 0.303648 microalbumin urine test 0.31185 patients 0.503744 health care services 0.427268 diabetes-related costs 0.370846 Consumer Price Index 0.357268 emergency department 0.330999 health care costs 0.317128 HCG 0.296792	TRICARE Management Activity 0.450247 active participants 0.43838 education-based diabetes management 0.312576 annual medical savings 0.315513 telephone counseling 0.301357 diabetes drugs 0.309076 diabetes management programs 0.482499 ED visits 0.314741 larger increases 0.300112 historical control group 0.31784 total costs 0.34506 health care 0.733414 ambulatory visits 0.413921 participants 0.478164 prediction equations 0.30196 program eligibility 0.513143 disease management 0.573591 diabetes-related emergency department 0.303272 diabetes management 0.492706 Disease Management Association 0.307895 passive participants 0.445679 diabetes management program 0.420837 medical costs 0.397562 diabetes-related ambulatory visits 0.345576	CLICK HERE
5705	Centers for Disease Control and Prevention	Html	en	Malonaldehyde - 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
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
7142	Centers for Disease Control and Prevention	Html	en	Global Health - Tonga	null	Content source 0.422709 HHS 0.297574 list Skip 0.74332 endorsement 0.291872 CDC 0.271556 non-federal site 0.4688	Notice 0.270187 sponsors 0.241885 page options Skip 0.947337 information 0.241652 employees 0.242118	CLICK HERE
7815	Centers for Disease Control and Prevention	Html	en	AIDS and Other STDs in Youth - Health Communication	AIDS and STDs in Youth - Gateway to Health Communication - CDC	young women 0.347534 HIV-infected person 0.479822 African-American men ages 0.467164 new HIV infections 0.714322 young African-American men 0.459217 Pneumocystis carinii pneumonia 0.449451 young adult 0.36616 heterosexual transmission 0.32983 long-term disability 0.326572 mothers 0.32553 junior high school 0.416071 Roughly half 0.33816 tough decisions 0.339152 internal warts 0.330043 AIDS 0.442171 Americans ages 0.33615 common opportunistic infections 0.489088 ethnic minorities 0.332241 sexually transmitted disease 0.472081 healthy people 0.338965 health status 0.337505 human papillomavirus 0.486363 human immunodeficiency virus 0.46441 Yes. A person 0.340467 injection drug needles 0.459463	direct relationship 0.346639 unprotected sex 0.693899 night sweats 0.337012 sex partners 0.338368 United States 0.348176 HIV exposure 0.548184 young people 0.809192 HIV cases 0.503909 CD4 cell count 0.440818 sex-related topics 0.32877 middle-aged adults 0.327125 opportunistic illnesses 0.346586 HIV transmission 0.505468 injection drug equipment 0.634321 young men 0.350876 African-American women ages 0.46405 lymph glands 0.337189 common mode 0.421223 HIV 0.990454 STDs 0.41098 possible consequences 0.343968 STD infections 0.384696 HIV infection 0.732275 yeast infections 0.456711	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
12046	Centers for Disease Control and Prevention	Html	en	Human Parainfluenza Viruses | Transmission of HPIVs | CDC	Human parainfluenza viruses (HPIVs) usually spread from person to person through air by coughing and sneezing, touching...	nose 0.474809 MPEG 0.470365 HPIVs 0.481741 hands 0.467022 objects 0.441767 People 0.440279 Page 0.440852 different file formats 0.846561 HPIV Seasons 0.648315 air 0.447193 eyes 0.462016	summer 0.439807 infected person 0.752534 spring 0.439912 Human parainfluenza viruses 0.977282 close personal contact 0.913764 mouth 0.4727 fall 0.45533 PPT 0.498329 HPIV infections 0.664642 DOC 0.465659	CLICK HERE
13323	Centers for Disease Control and Prevention	Html	en	CDC Responder: Jose	CDC works 24/7 saving lives, protecting people from health threats, and saving money to have a more secure nation. A US federal agency, CDC helps make the healthy choice the easy choice by putting science and prevention into action. CDC works to help people live longer, healthier and more productive lives.	typical contact tracing 0.688518 country 0.339626 source 0.335788 bucket shower 0.496863 members 0.334023 Liberian wilderness 0.550076 communication 0.3344 runner 0.333153 remote parts 0.537352 isolation area 0.495294 rampant Ebola outbreaks 0.946439 narrow forest trails 0.676396 motorbike 0.340764 hospital infection prevention 0.736617 teams 0.335082 work 0.335465 unknown Ebola contacts 0.852626 Service Officer 0.533547 community 0.333998 disease detective 0.539625 colleagues 0.339932 CDC Epidemic Intelligence 0.748992 child 0.333623 dozens 0.334513	central village 0.506692 gold standard 0.514632 treatment center 0.494554 Ebola cases 0.655847 miles 0.339784 MSF team 0.527294 total 0.334271 Jose 0.745551 modern technology 0.506723 place 0.333027 pit latrine 0.515618 situation 0.333048 dense forest area 0.687955 traditional method 0.506008 villager 0.349595 true testament 0.492425 People 0.336696 significant experiences 0.496496 entire villages 0.548701 control 0.340005 landing 0.338592 district health team 0.668873 village chiefs 0.511374 cellphone signal 0.516234	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