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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
4570	Centers for Disease Control and Prevention	Html	en	November 03, 2009: States Where Persons Infected with the Outbreak Strain of E. coli O157:H7 Live, United States, by State | E. coli CDC	Get the latest CDC information on the recent infections from ground beef, and find out what you can do to protect yourself and your family.	O157 0.509376 ongoing case finding 0.58501 CDC 0.424835 United States 0.705562 Maine 0.418367 genetic association 0.500632 advanced secondary DNA 0.580573 matching strains 0.512039 human isolates 0.510114 number 0.433839 Massachusetts 0.41845 outbreak cluster 0.587388 ill persons 0.502444 Beef 0.421125 E. coli 0.987759 outbreak strain 0.848789	secondary tests 0.499426 H7 Live 0.638839 Outbreak Investigations 0.597125 New York 0.496933 Minnesota 0.418322 California 0.41855 New Jersey 0.497226 Fairbank Farms 0.530195 persons 0.535326 New Hampshire 0.497518 Connecticut 0.418495 H7 Infections Associated 0.722281 Maryland 0.418413 Multistate Outbreak 0.606879 laboratory testing 0.502293	CLICK HERE
5618	Centers for Disease Control and Prevention	Html	en	Ethion - 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
7121	Centers for Disease Control and Prevention	Html	en	CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0311	The objective of this study was to identify the number of people with diabetes from a diabetes DataLink developed as part of the SUPREME-DM (SUrveillance, PREvention, and ManagEment of Diabetes Mellitus) project, a consortium of 11 integrated health systems that use comprehensive EHR data for research.	diabetes identification 0.765247 Kaiser Permanente Hawaii 0.550204 data 0.799193 multiple health systems 0.577056 diabetes DataLink 0.791154 diabetes mellitus 0.751003 EHR data 0.609631 Henry Ford Health 0.611646 health administrative data 0.554313 accurate diabetes registries 0.719193 laboratory test results 0.603154 diabetes cases 0.68164 possible diabetes 0.655968 care management studies 0.542253 diabetes prevalence 0.690503 health care delivery 0.575476 SUPREME-DM DataLink criteria 0.545175 Kaiser Permanente Colorado 0.613122 gestational diabetes 0.741736 diabetes registries 0.736427 laboratory results data 0.541177 incident diabetes 0.737534 comparative effectiveness research 0.654371 complete EHR data 0.549935	administrative data 0.64788 Kaiser Permanente regions 0.559555 diabetes database 0.645217 health care systems 0.635698 diabetes incidence 0.682673 health systems 0.670621 true diabetes incidence 0.679103 Diabetes Care 0.645917 diabetes case status 0.695494 diabetes duration 0.683337 integrated health systems 0.653062 health 0.743001 diabetes surveillance 0.650956 diabetes diagnosis 0.717072 incident cases 0.699994 diabetes researchers 0.664847 comprehensive EHR data 0.609401 multisite diabetes registries 0.721459 SUPREME-DM DataLink 0.73137 Geisinger Health 0.541014 health plan 0.542056 diabetes 0.905873 adult diabetes prevalence 0.672867	CLICK HERE
7999	Centers for Disease Control and Prevention	Html	en	South Africa - FELTP Graduates Are Ready to Serve Public Health in South Africa	CDC partners in South Africa with government and parastatal agencies, private institutions, universities and non-governmental organizations to improve the country’s public health foundation, to prevent transmission of HIV, to provide care and treatment for those who are already infected with HIV, and to strengthen laboratory capacity.	typhoid fever 0.565286 Laboratory Training Program 0.642786 multidrug-resistant hospital-acquired infections 0.63682 Communicable Diseases 0.568359 Sub-Saharan Africa 0.585447 data gathering 0.572414 South Africa Field 0.666202 National Health Laboratory 0.64806 Seymour Williams 0.574151 North West 0.688392 surveillance data 0.566084 graduate Thejane Motladiile 0.617089 SA-FELTP residents 0.584345 Gauteng province 0.569271 North West Provincial 0.619784 SA-FELTP graduates 0.640915 Southern African Journal 0.615652 Western Cape provinces 0.618197 SA-FELTP work 0.570924 nosocomial outbreaks 0.587838 new MPH diploma 0.611626 Resident Advisor 0.570084 South Africa 0.840127 well-functioning public health 0.666203	public health awareness 0.681702 MDR Acinetobacter baumannii 0.618824 hospital-acquired infections 0.643063 public health policy 0.678924 public health priorities 0.661294 multi-pathogen diarrheal disease 0.624686 important work 0.568469 Limpopo province 0.572865 important health messages 0.63699 regional public health 0.65191 synthesis skills 0.571735 national departments 0.566806 public health professionals 0.650388 public health 0.904961 National Institute 0.570315 multi-drug resistant TB 0.630761 critical data 0.575659 North West province 0.621628 hospital’s ICU 0.564097 n’t respect boundaries 0.636631 non-federal site 0.566538 infection control procedures 0.613671 Free State province 0.624464 CDC South Africa 0.652492	CLICK HERE
8326	Centers for Disease Control and Prevention	Html	en	Data Sources - Suicide - Violence Prevention - Injury	null	Inpatient stay records 0.71281 Health Statistics Report 0.735751 Statistical Information 0.669558 health risk behaviors 0.730929 interactive database 0.692265 Surveillance System-All Injury 0.720824 Hospital Ambulatory Medical 0.750678 public health surveillance 0.728058 National Electronic Injury 0.769923 public health decisions 0.728295 Drug Abuse Warning 0.694074 American Health Association 0.723062 20-percent stratified sample 0.699366 violent deaths 0.738593 National Vital Statistics 0.892684 national injury-related morbidity 0.735424 National Hospital Ambulatory 0.941927 [PDF 107KB] 0.725047 American Health Organization 0.720178 violence prevention programs 0.681551 inpatient care database 0.746847 hospital inpatient 0.663678 Regional Core Health 0.860429 health care utilization 0.762693 United States 0.91285	Health Data Initiative 0.761273 drug-related hospital emergency 0.730898 Ambulatory Medical Care 0.904526 Pan American Health 0.858319 National Inpatient Sample 0.771695 United States hospital 0.784871 National Survey 0.710902 Web-based Injury Statistics 0.704228 inter-governmental data sharing 0.733328 Country Profile Initiative 0.67405 nationally representative data 0.754066 up-to-date data 0.662462 country health profiles 0.715298 Core Health Data 0.882533 NEISS-AIP data 0.662317 Medical Care Survey 0.890859 American Hospital Association 0.729808 U.S. community hospitals 0.694463 hospital emergency 0.816162 Member States 0.673999 core health statistics 0.74395 nonfatal injuries 0.715614 Risk Behavior Surveillance 0.684406 National Violent Death 0.767793	CLICK HERE
9329	Centers for Disease Control and Prevention	Html	es	Integración de un diseño multimodal a la Encuesta Nacional Telefónica de Marcación Aleatoria	null	múltiples métodos 0.902521 Salud Pública 0.773353	estudio piloto 0.833604	CLICK HERE
13335	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Outbreaks of Shigella sonnei Infectionwith Decreased Susceptibility to Azithromycin Among Men Who HaveSex with Men - Chicago and Metropolitan Minneapolis-St. Paul,2014	Anna Bowen, MD1; Dana Eikmeier, MPH2; Pamela Talley, MD2,3; Alicia Siston, PhD4; Shamika Smith, MPH4; Jacqueline Hurd, MPH1; Kirk Smith, PhD2; Fe Leano, MS2; Amelia Bicknese1; J. Corbin Norton1; Davina Campbell, MS1 (Author affiliations at end of text).	sexually transmitted infection 0.661899 chain reaction testing 0.672915 Minnesota Department 0.67239 underwent PFGE analysis 0.670616 Allison La Pointe 0.644037 Anna Bowen 0.674783 DSA 0.798059 Chicago Department 0.667231 antimicrobial agents 0.647349 metropolitan Minneapolis-St 0.703114 Health Public Health 0.722268 macrolide resistance genes 0.666545 National Center 0.697397 greater risk 0.679353 shigellosis 0.730346 median age 0.783957 recent international travel 0.652637 patients 0.660688 antimicrobial susceptibility profiles 0.734589 3Epidemic Intelligence Service 0.648263 S. sonnei infection 0.670694 minimum inhibitory concentration 0.666268 Environmental Diseases 0.643356 National Antimicrobial Resistance 0.733212 similar pulsed-field gel 0.68038	human immunodeficiency virus 0.656581 J. Corbin Norton 0.678445 resistance genes 0.672499 Infectious Diseases 0.639336 outbreak-associated S. sonnei 0.656707 Shigella strains 0.617763 outbreak-driven PFGE testing 0.668338 additional isolates 0.736802 United States 0.679589 shigellosis cases 0.686192 empiric antimicrobial treatment 0.753596 male Chicago residents 0.674715 similar PFGE patterns 0.687418 public health 0.980516 antimicrobial susceptibility testing 0.906662 Shigella sonnei 0.638349 MSM 0.716196 Shigella flexneri 0.618374 azithromycin susceptibility 0.668794 unknown antimicrobial agent 0.718237 available treatment information 0.669553 Chicago patients 0.617167 nonoutbreak S. sonnei 0.656457 public health laboratory 0.921033	CLICK HERE
13696	Centers for Disease Control and Prevention	Html	en	Cancer, the Flu, and You	CDC answers important questions about special considerations for cancer patients and survivors and their caregivers for the flu.	influenza 0.404456 leukemia 0.324087 special considerations 0.424611 CDC 0.356562 death 0.348695 vaccines 0.324344 pneumococcal disease 0.40376 flu vaccine 0.734505 office 0.321162 body’s ability 0.411165 cancer increases 0.434337 pneumococcal shots 0.402451 caregivers 0.323751 Yes. People 0.411705 podcast 0.321917 good immune response 0.513888 health care providers 0.629742 important questions 0.423591 increased risk 0.404551 higher risk 0.417574 greater risk 0.408242 upcoming season 0.40788	complications 0.443943 hospitalization 0.365838 reminder 0.323006 cancer patients 0.594126 lymphoma 0.32476 history 0.322588 seasonal flu 0.868836 people 0.4352 flu 0.989943 Flu Season 0.577213 flu shot 0.764254 seasonal flu shot 0.709681 Immune defenses 0.42949 survivors 0.351848 certain types 0.419911 high risk 0.413625 cancer 0.680759 risk 0.49023 older people 0.415651 information 0.321366 severe illness 0.41363	CLICK HERE
14101	Centers for Disease Control and Prevention	Image	null	5 Major Signs and Symptoms of Heart Attack in Men and Women	null			CLICK HERE
14236	Centers for Disease Control and Prevention	Html	en	Infographics | Communications | Food Safety	null	MPEG 0.225882 monthly update 0.942358 infectious disease 0.940591 PPT 0.260525	email address 0.817768 DOC 0.221013 different file formats 0.838746	CLICK HERE