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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
4903	Centers for Disease Control and Prevention	Html	en	Influenza Transmission Workshop, November 2010	null	Breakout Group Structure 0.487873 MS Word version 0.698967 Clifton Rd 0.246066 navigation Skip 0.378621 Content source 0.200865 Disease Control 0.595897 Influenza Transmission Workshop 0.779305 page options 0.248525 A-Z Index 0.434079 Dr. David Weissman 0.42302 Print page 0.227609 Workshop Definitions 0.252275 CDC Home CDC 0.963493 Workshop Agenda 0.276607	email updates 0.220966 Contact CDC 0.428384 list Skip 0.381943 CDC Scientific Agenda 0.659646 cdcinfo@cdc.gov 0.217225 different file formats 0.37792 Workshop Summary 0.275479 Breakout Group Summaries 0.893516 content Skip 0.380508 Clifton Road Atlanta 0.378266 Workshop Attendees 0.280767 CDC Flu 0.460436 Workshop Introduction 0.430717	CLICK HERE
6503	Centers for Disease Control and Prevention	Html	en	Clinical and Laboratory Evaluation - Yellow Fever	Information on Yellow Fever. Provided by the U.S. Centers for Disease Control and Prevention.	yellow fever 0.976539 viremic period 0.568906 renal insufficiency 0.571142 virus-specific immunoglobulin 0.574843 fever diagnostic testing 0.703996 symptom recrudescence 0.56857 local health department 0.6119 epigastric pain 0.565608 serum transaminase levels 0.634216 needle-puncture sites 0.566752 histopathologic specimens 0.564732 yellow fever virus 0.867082 acid amplification testing 0.614386 vaccination status 0.573411 yellow fever vaccine 0.74543 severe hepatorenal disease 0.63073 severe form 0.576751 severe headache 0.587295 time overt symptoms 0.61404 illness 0.572961 fever virus RNA 0.726176 cardiovascular instability 0.569227 mildest form 0.58343 sudden onset 0.593725	elevated prothrombin 0.580091 fever virus antigen 0.731501 testing serum 0.585681 bleeding diathesis 0.571949 RT-PCR results 0.568428 lumbosacral pain 0.571263 partial thromboplastin times 0.61574 transcription-polymerase chain reaction 0.608511 negative virus isolation 0.635454 self-limited infection 0.572694 platelet count 0.565309 Multiple laboratory abnormalities 0.622642 abrupt onset 0.596845 dermal icterus 0.570666 high fever 0.679819 plaque-reduction neutralization test 0.614742 hepatic enlargement 0.569777 epigastric tenderness 0.570404 uneventful recovery 0.575021 infected persons 0.56839 fibrin-split products 0.564249 yellow fever vaccination 0.757447 elevated body temperature 0.649337	CLICK HERE
7185	Centers for Disease Control and Prevention	Html	en	CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0305	We assessed the hypothesis that community affluence modifies the association between individual socioeconomic status (SES) and 6 cardiovascular disease (CVD) risk factors: diabetes, hypertension, physical inactivity, obesity, smoking, and poor nutrition.	cardiovascular disease 0.308892 individual ses 0.440386 Public Health 0.361109 modifiable risk factors 0.291669 median age 0.277803 health care services 0.214133 community affluence 0.904446 disease risk factors 0.285407 county median household 0.396527 Risk Factor Surveillance 0.24041	annual household income 0.227659 high-affluence communities 0.336128 Colorado Behavioral Risk 0.254203 modifiable CVD risk 0.203156 social determinants 0.259639 low SES 0.339826 median household income 0.640164 high SES 0.237687 Behavioral Risk Factor 0.240651 CVD risk factors 0.797888	CLICK HERE
7239	Centers for Disease Control and Prevention	Html	en	Race/Ethnicity, Adults 18 to 49 Years at High-Risk - 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 at High-Risk - CDC	Native Hawaiian 0.46599 Pacific Islander 0.504656 data 0.403782 report Final estimates 0.516125 season estimates 0.297261 United States 0.295911 influenza vaccination coverage 0.636527 methods 0.294342 U.S. civilian population 0.44058 Risk Factor Surveillance 0.463888 recent influenza seasons 0.405687 seasonal influenza vaccination 0.947513 Monovalent Vaccination Coverage 0.505756 vaccination coverage 0.693373 Alaska Native 0.466462 Excludes U.S. territories 0.469512 heart disease 0.430709 Additional estimates 0.30212 lung conditions 0.291306 estimates 0.777445	high risk conditions 0.660825 National Immunization Survey 0.276118 vaccination periods 0.31568 data sources 0.219111 influenza season 0.471671 high-risk conditions 0.206199 kidney conditions 0.291521 H1N1 Flu Survey 0.445649 Table 8-B 0.205566 Table 8-A 0.205326 confidence interval half-width 0.464387 BRFSS adult estimates 0.387528 Coverage estimates 0.320127 chronic illness 0.466671 Data Source 0.385997 vaccination recommendations 0.320155 vaccination data 0.351434 analytic methods 0.207426 national weighted estimates 0.414587 Behavioral Risk Factor 0.464198	CLICK HERE
8320	Centers for Disease Control and Prevention	Html	en	The Social-Ecological Model: A Framework for Prevention	null	close relationships 0.213338 housing opportunities 0.215018 closest social circle-peers 0.418921 single intervention 0.236186 potential prevention 0.253465 prevention efforts 0.23473 cultural norms 0.227788 level influence factors 0.601862 social isolation 0.217 healthy relationships 0.207592 acceptable way 0.223993 personal history factors 0.575395 physical environment 0.215796 workplace settings 0.212436 foster problem 0.22186 peer programs 0.210071	violence 0.958229 family-focused prevention programs 0.413682 four-level social-ecological model 0.453201 societal factors 0.736743 life skills 0.221912 large societal factors 0.565098 ultimate goal 0.277265 social relationships 0.213727 social policies 0.213606 factors 0.882565 family members-influences 0.225092 multiple levels 0.241405 social inequalities 0.227721 broad societal factors 0.548079 Prevention strategies 0.506407 Specific approaches 0.224723	CLICK HERE
10376	Centers for Disease Control and Prevention	Html	en	Science Clips - Monday, March 10, 2014	CDC - Stephen B. Thacker Library - Science Clips	Haemophilus influenzae type 0.560365 Nichol ST 0.596221 Pediatr Infect Dis 0.653535 National Health Interview 0.58535 CDC Science Clips 0.56922 Emerg Infect Dis. 0.911673 colorectal cancer screening 0.564339 lymphocytic choriomeningitis virus 0.612546 Brief sexual histories 0.56033 parvum IId family 0.560102 Prenatal phthalate exposures 0.556662 risk factors 0.561156 body mass index 0.569079 Rollin PE 0.590999 Auditory risk estimates 0.557812 neurobehavioral development scores 0.56034 Int J Audiol. 0.586651 pulmonary tuberculosis patients 0.560771 Clin Infect Dis. 0.614985 high HIV-prevalence setting 0.563583 Adolesc Health. 0.563198 Environ Health Perspect. 0.572092 Dig Dis Sci. 0.562056 Croft JB 0.572326 Two-dose varicella vaccination 0.559855	AIDS Patient Care 0.5672 respiratory syncytial virus 0.566806 obstructive pulmonary disease 0.580522 multipremises feeder-rodent operation 0.561859 United States 0.713455 Borne Zoonotic Dis. 0.577001 public health community 0.587568 Afr Med J. 0.565264 Elevated transferrin saturation 0.565846 public health 0.601963 Feb 0.752766 public health literature 0.56858 Murphy WJ 0.558603 B. Thacker CDC 0.562532 Birth Defects Prevention 0.561748 Blaney DD 0.566046 Radiat Prot Dosimetry. 0.557474 Medical Care Survey 0.577028 acute febrile disease 0.563677 Infect Dis J. 0.654234 Subst Abuse Treat. 0.556858 routine HIV/STD testing 0.562445 public health research 0.585922 ensemble thermal characteristics 0.560989	CLICK HERE
10812	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Research to Reality: Moving Evidence Into Practice Through an Online Community of Practice - CDC	How can a community of practice help further the practical application of cancer control research? In 2011, the National Cancer Institute (NCI) launched an online community of practice, Research to Reality (R2R). R2R aims to infuse evidence-based strategies into communities by engaging researchers and practitioners in a joint approach to research dissemination. To measure community growth and engagement, NCI measures data across 3 program domains: content, interaction, and activity. NCI uses Web analytics, usability testing, and content analyses to manage and evaluate R2R. As of December 2013, R2R had more than 1,700 registered members. More than 500 researchers and practitioners register for the monthly cyber-seminars, and 40% return each month. R2R hosts more than 15,500 page views and 5,000 site visits in an average month. This article describes the process of convening this online community and quantifies our experiences to date.	practical application 0.347436 R2R Mentorship Program 0.352619 community development 0.330953 planning evidence-based programs 0.334375 ongoing dialogue 0.328955 online community 0.564073 research dissemination activities 0.330817 evidence-based cancer control 0.531822 R2R Web platform 0.343977 Strong community partnerships 0.345033 R2R members 0.365209 evidence-based program planning 0.329779 Community Practice Measurements 0.382578 cancer control programs 0.362162 cancer control coalitions 0.347979 Cancer Control National 0.35943 clinical practice audience 0.345256 researchers 0.39787 community 0.661783 cancer control research 0.533445 community engagement 0.410774 federal government–sponsored community 0.341424 CIS Partnership Program 0.616599 R2R 0.559961 cancer control field 0.354736	NCI 0.534462 cancer control researchers 0.384126 cancer health disparities 0.337124 cancer control 0.944846 community practitioners 0.342721 Margaret M. Farrell 0.375073 Cancer Control P.L.A.N.E.T. 0.482462 R2R). 0.33497 Cancer Information Service 0.333605 everyday practice 0.328285 National Cancer Institute 0.824196 R2R cyber-seminar series 0.330344 public health 0.333561 cancer control science 0.357034 virtual community 0.336711 Madeline La Porta 0.38091 cancer control practice 0.594269 NCI’s program 0.32919 cancer control practitioners 0.565179 evidence-based programs 0.361912 community identity 0.340432 R2R community members 0.448508 evidence-based interventions 0.410463 monthly cyber-seminars 0.395975	CLICK HERE
11191	Centers for Disease Control and Prevention	Html	en	Typhimurium Infections Linked to Microbiology Laboratories |June 2014 | Salmonella	Human Salmonella Typhimurium Infections Linked to Exposure to Clinical and Teaching Microbiology Laboratories	college 0.316886 date 0.315413 teaching laboratories 0.406041 PulseNet 0.332913 human biology course 0.452397 CDC 0.338546 quality control purposes 0.468124 Indiana 0.315131 illnesses 0.331717 Salmonella Typhimurium 0.815043 microbiology course 0.407121 Public health investigators 0.483897 biosafety measures 0.385143 Salmonella infection 0.452021 commercially available strains 0.520755 ill persons 0.969198 deaths 0.315396 PFGE pattern 0.388601 diagnostic testing 0.394544 median age 0.392496 public health officials 0.484184 fingerprints 0.319106 different exposures 0.387523 Illinois 0.315139 Key Resources page 0.451519	pulsed-field gel electrophoresis 0.475007 national subtyping network 0.480897 Salmonella bacteria 0.475459 laboratory settings 0.399912 Salmonella Typhimurium strains 0.601687 regulatory agency laboratories 0.483771 writing utensils 0.383379 students 0.328018 percent 0.334546 states 0.332489 microbiology laboratory exposure 0.53075 total 0.328925 university teaching microbiology 0.520237 public health 0.567727 laboratory safety training 0.455517 cases 0.316738 specific guidance documents 0.448602 New Jersey 0.389692 food 0.315738 clinical microbiology laboratory 0.485137 lab coats 0.382032 Salmonella Typhimurium infections 0.578815 New Hampshire 0.389759 available information 0.387629	CLICK HERE
13776	Centers for Disease Control and Prevention	Html	en	CDC and Food Safety | Food Safety | CDC	Preventing foodborne illness and food safety depends on strong partnerships. CDC, the U.S. Food and Drug Administration (FDA), and the U.S. Department of Agriculture’s (USDA) Food Safety Inspection Service collaborate at the federal level to promote food safety.	CDC 0.477675 foodborne infections 0.58948 Antimicrobial Resistance Monitoring 0.5407 Modernization Act regulations 0.529618 U.S. Department 0.440956 state PulseNet laboratories 0.538093 food industries 0.477817 DNA fingerprinting 0.547383 foodborne illnesses 0.82824 U.S. Food 0.477956 multistate Listeria outbreak 0.584203 contaminated foods 0.448747 FDA Food Safety 0.602666 food safety action 0.600581 food animals 0.456627 monthly update 0.438088 rare Listeria strains 0.564755 international agencies 0.431261 traditional technique 0.541402 foodborne illness 0.818133 foodborne illness-causing bacteria 0.752215 foodborne outbreaks 0.606461 ill people 0.506115 costly—yet preventable—public health 0.572066	food safety challenge 0.570877 email address 0.444158 Drug Administration 0.431253 outbreak investigations 0.462088 Listeria contamination 0.442979 certain people 0.431273 recent work 0.444353 genome sequencing technology 0.566532 food safety goals 0.601817 public health burden 0.538544 antibiotic resistance 0.69399 specific foods 0.431342 Salmonella bacteria samples 0.598183 food producers 0.476502 DNA fingerprinting network 0.533181 local health departments 0.751579 food exposure 0.455118 CDC scientists 0.465355 food production 0.459397 food safety systems 0.611496 food safety 0.994278 infectious disease 0.439206 foodborne bacteria 0.661756 Campylobacter standards 0.446973	CLICK HERE
13921	Centers for Disease Control and Prevention	Image	null	The Burning Truth: Controlled Tanning Is Not Safe Tanning	null			CLICK HERE