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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
4663	Centers for Disease Control and Prevention	Html	en	Identifying populations at high risk for diabetes with the Behavioral Risk Factor Surveillance System, Rhode Island, 2003	null	Island BRFSS data 0.504697 high school 0.502829 Rhode Island BRFSS 0.775092 health insurance 0.637504 Risk Factor Surveillance 0.499576 DRS questionnaires 0.488189 ADDITION pilot study 0.513576 high school education 0.492138 Danish DRS study 0.527349 undiagnosed diabetes 0.745983 J. Diabetes risk 0.570042 nongestational diabetes 0.543792 final model 0.553131 population risk 0.479441 low DRS 0.484263 Rhode Island adults 0.534131 DRS tools 0.481248 body mass index 0.482641 parental diabetes 0.550734 high Danish DRS 0.544326 annual checkup 0.484232 high diabetes risk 0.684521 previously validated diabetes 0.599298 diabetes risk 0.801087 screen-detected diabetes 0.569969	high risk 0.611313 Danish DRS category 0.508838 Behavioral Risk Factor 0.500896 diabetes risk score 0.694354 L. Diabetes risk 0.567828 adults 0.553542 Diabetes Metab Res 0.547853 diabetes burden 0.533659 Health Diabetes Prevention 0.57694 Rhode Island Department 0.480503 Rhode Island 0.95597 Diabetes Res Clin 0.547085 Diabetes Care 0.603361 Rhode Island population 0.486987 DRS items 0.480979 Diabetes Metab 0.557575 validated DRS 0.494069 formal diabetes education 0.549362 high DRS 0.661349 Danish DRS 0.828526 leisure-time physical activity 0.688653 family history 0.605508 potential predictors 0.492135 diabetes 0.973752	CLICK HERE
4683	Centers for Disease Control and Prevention	Html	en	Paying for performance in population health: lessons from health care settings	null	population health story 0.527796 hospitals 0.492066 Health Economics 0.472575 health care-related goals 0.506212 high quality care 0.470978 health outcomes 0.497659 health care disparities 0.512899 performance measures 0.485922 Veterans Health Administration 0.490629 financial incentives 0.496222 population health goals 0.691247 population heath settings 0.496128 health care priorities 0.510341 better care 0.475878 population health 0.974486 population health settings 0.558425 individual health care 0.513617 patients 0.510572 New York State 0.501333 population health priorities 0.52105 health care quality 0.51018 diverse population subsegments 0.48202 primary care settings 0.500476 artery bypass graft 0.4819 performance measurement 0.492934	life expectancy 0.48715 population health measures 0.564888 Health Equity Research 0.502173 population health care 0.569043 community health 0.484812 health care settings 0.704061 busy primary care 0.471464 population health performance 0.542869 health care processes 0.524927 people’s health 0.479076 health information infrastructure 0.489372 Accountable care organizations 0.477642 coronary artery bypass 0.480958 Health Services Research 0.479841 Population goals 0.471262 pay-for-performance systems 0.472603 health care pay-for-performance 0.5612 health care 0.978735 health care-related health 0.540307 sweeping population health 0.52903 colon cancer 0.480557 process measures 0.474128 intensive care units 0.473431 Health Soc Behav 0.481375	CLICK HERE
5304	Centers for Disease Control and Prevention	Html	en	CDC Report Highlights Lack of Healthy Food Environments for Children - Press Release: April 26, 2011	CDC Report Highlights Lack of Healthy Food Environments for Children	State-by-state scores 0.33307 school health programs 0.426359 CDC Director Thomas 0.527866 Disease Control 0.34476 School Health Profiles 0.416252 healthy food 0.633944 lower mRFEI scores 0.437478 food retailers 0.700313 national average 0.330691 State Regulations 0.331088 Food Environment State 0.675652 state-based nutrition 0.329272 healthy eating 0.51003 territorial education agencies 0.414401 fast food restaurants 0.672472 fewer food retailers 0.501984 child care facilities 0.908016 State Indicator Report 0.663657 fight childhood obesity 0.538634 healthy foods 0.720422 childhood obesity visit 0.474539 high schools 0.415939 food choices 0.362964 healthier community environments 0.416035 healthier choices 0.339144	states 0.398402 State tables 0.336903 Work initiative funds 0.406002 obesity programs 0.379202 Child Care Setting 0.415237 CDC funds 0.373239 school grounds 0.32797 drinking water 0.322079 50 states 0.332347 Retail Food Environment 0.495557 adult obesity 0.376374 communities combat 0.320829 New York 0.323693 Rhode Island 0.322548 average mRFEI score 0.436636 physical activity issues 0.440569 food access 0.399911 physical activity 0.660078 Forty-nine percent 0.342204 sugar drinks 0.320654 Environment State Indicator 0.662509 childhood obesity 0.65024 screen time 0.327389 important opportunity 0.326654	CLICK HERE
5947	Centers for Disease Control and Prevention	Html	en	beta-Propiolactone - 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
6239	Centers for Disease Control and Prevention	Html	en	CDC's Disease Detectives: Global Health Sleuths Battle Contagion Worldwide | About | CDC	CDC Works For You 24/7 Saving Lives - CDC's Disease Detectives: Global Health Sleuths Battle Contagion Worldwide; In Steven Soderbergh's new thriller Contagion, to be released September 9, Dr Erin Mears, played by Kate Winslet, is a disease detective, racing to help stop the lethal devastation unleashed by an unknown, airborne virus.	practice 0.338463 study 0.338366 global health sleuths 0.833458 health threats 0.555319 actress Kate Winslet 0.875692 real–life scientists 0.570433 steely determination 0.605578 program 0.368242 statisticians 0.362769 individuals 0.339451 epidemiologists 0.380236 unknown 0.349454 veterinarians 0.347873 epidemiology 0.345577 disease outbreak 0.610963 character 0.344454 EIS officers 0.626512 Steven Soderbergh′s 0.593474 laboratorians 0.34245 event 0.341759 nation′s 0.339369 health professionals 0.912832	epidemiologic skills 0.567184 lives 0.339521 grit 0.367931 dedication 0.351814 lethal devastation 0.6386 key questions 0.549887 CDC′s front lines 0.542955 staff 0.343207 airborne virus 0.598047 people 0.370791 insurmountable odds 0.578873 disease detective 0.604473 face 0.339901 CDC′s Epidemic Intelligence 0.753297 service 0.366172 doctors 0.340891 unique two–year 0.538826 Dr Erin Mears 0.887002 populations 0.343575 24/7 0.33958 on–the–job training 0.710513	CLICK HERE
6508	Centers for Disease Control and Prevention	Html	en	Africa Map - Yellow Fever	Information on Yellow Fever. Provided by the U.S. Centers for Disease Control and Prevention.	country 0.257747 yellow fever 0.986354 traveler 0.229502 portion 0.227379 Working Group 0.341724 2These countries 0.324407 animal reservoirs 0.342113 1Countries/areas 0.224632 Geographic Risk 0.335209 remaining areas 0.323674 proof 0.252181 yellow fever transmission 0.787103 low potential 0.326512 health website 0.332553	map 0.276373 World Health Organization 0.439862 recent updates 0.338643 past 0.224173 vaccination entry requirement 0.459155 version 0.225716 travelers 0.225168 vectors 0.231432 YFV transmission 0.330774 exposure 0.252224 Informal 0.228275 risk 0.34868 risk areas 0.322727	CLICK HERE
8359	Centers for Disease Control and Prevention	Html	en	Announcements: Diabetes Alert Day - March 26, 2013	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.	mmwrq@cdc.gov. 0.666463 endorsement 0.5712 Human Services 0.773173 assistive technology 0.669487 U.S. Department 0.769163 MMWR HTML versions 0.757748 National Diabetes Prevention 0.974979 Diabetes Interactive Atlases 0.956524 electronic PDF version 0.745691 e-mail 0.553048 National Institutes 0.645242 risk factors 0.788873 Additional information 0.646492 Contact GPO 0.666299 commercial sources 0.641715 helpful resource 0.650074 effective lifestyle change 0.795401 current prices 0.637099 joint program 0.649725 diabetes control 0.826929 original paper copy 0.752533 high risk 0.66206 simple questions 0.651207 helpful tips 0.64436	lifestyle change programs 0.981753 United States 0.939123 U.S. Government Printing 0.758299 original MMWR paper 0.752761 leisure-time physical inactivity 0.78985 MMWR readers 0.647742 character translation 0.634744 diabetes cases 0.850752 lifestyle changes 0.801074 Diabetes Alert 0.852956 format errors 0.635643 subject line 0.665128 Health 0.569924 National Diabetes Education 0.961252 typeset documents 0.642368 Step tool 0.646572 trade names 0.641813 paper copy 0.761894 official text 0.633098 physical activity 0.653671 non-CDC sites 0.640254 family history 0.650972 Risk Test 0.665313 electronic conversions 0.632266	CLICK HERE
12112	Centers for Disease Control and Prevention	Html	en	Lung Cancer Statistics	Lung cancer statistics from CDC: incidence and mortality in the USA.	Mortality Web-based Report 0.754937 United States 0.795587 Human Services 0.42813 death counts 0.931686 Cancer Statistics Working 0.726137 U.S. population 0.713933 lung cancer 0.54071 United States Cancer 0.707549	Disease Control 0.426624 recent year numbers 0.486993 men 0.215462 visit Cancer 0.490412 National Cancer Institute 0.701269 incidence 0.312281 caution 0.20837	CLICK HERE
13583	Centers for Disease Control and Prevention	Html	en	West Nile Virus and Other Nationally Notifiable ArboviralDiseases - United States, 2014	Nicole P. Lindsey, MS1; Jennifer A. Lehman1; J.	arboviral diseases 0.347019 equine encephalitis virus 0.584865 arboviral disease cases 0.378338 serogroup virus disease 0.358417 Canyon virus cases 0.356391 neuroinvasive disease 0.974828 neuroinvasive disease incidence 0.443644 neuroinvasive arboviral disease 0.417937 public health authorities 0.320732 overall disease burden 0.294891 nationally notifiable arboviruses 0.317333 virus neuroinvasive disease 0.422421 national incidence 0.292342 WNV disease cases 0.386281 health care providers 0.324031 commonly reported cause 0.356502 reported case 0.296021 notifiable arboviral disease 0.374653 median age 0.456816 California serogroup virus 0.397957 patients 0.390606 endemic arboviral diseases 0.334726 neuroinvasive cases 0.313913 recent arboviral infection 0.333068	Powassan virus 0.380875 incidence rates 0.290905 specific infecting virus 0.32305 illness onset 0.429717 national arboviral surveillance 0.334083 WNV neuroinvasive disease 0.729071 United States 0.40442 La Crosse virus 0.885433 Eastern equine encephalitis 0.551866 neuroinvasive disease cases 0.749363 nonneuroinvasive disease cases 0.420644 St. Louis 0.336193 Powassan virus disease 0.357501 encephalitis virus disease 0.377917 virus disease cases 0.663985 arboviral disease 0.551068 domestic arboviral disease 0.347699 Canyon virus antibody 0.317696 acute flaccid paralysis 0.593677 Canyon virus disease 0.44415 Crosse virus disease 0.453332 West Nile virus 0.345135 disease cases 0.921949 human arboviral infections 0.334539	CLICK HERE
13987	Centers for Disease Control and Prevention	Image	null	Young People Can Protect Themselves from STIs	null			CLICK HERE