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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
768	Centers for Disease Control and Prevention	Html	en	2013 Agency Accomplishments | CDC Features	As 2013 comes to a close, CDC looks back on the top 5 health concerns of the year while preparing for the projected health threats of 2014. Read the whole story: CDC’s 2013: A Year in Review.	CDC.gov Current Features 0.906892	specific topic 0.706916	CLICK HERE
1102	Centers for Disease Control and Prevention	Html	en	Workers' Compensation Claims for Musculoskeletal DisordersAmong Wholesale and Retail Trade Industry Workers - Ohio,2005-2009	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.	small WRT employers 0.476273 high rates 0.299441 BLS case definitions.§ 0.294187 injury/illness diagnosis data 0.29958 work-related musculoskeletal disorders 0.373629 highest claim rates 0.296715 lost-time WMSD rates 0.444303 Nondurable Goods 0.339646 WMSD workers 0.428317 WRT industry 0.746233 т‰Ѕ250 0.348726 WRT subgroups 0.506177 WRT subsectors 0.905735 Home Furnishings Stores 0.451212 WRT NAICS 0.444164 Auto-coded WMSD claims 0.481133 compensation claims data 0.377947 NC 0.64048 motor vehicle parts 0.463776 Bayesian auto-coding 0.291611 higher rates 0.317312 employees 0.298546 WMSD lost-time claims 0.466003 lost-time WMSD claims 0.462292	WMSDs 0.338235 Retail Trade 0.295517 United States 0.291406 injury/illness diagnosis 0.3062 alcoholic beverages 0.460777 furniture stores 0.381077 wholesalers 0.337337 manually coded claims 0.321703 North American Industry 0.302735 WRT industry subsectors 0.649968 single-location employers 0.3294 related products 0.397894 compensation claims 0.438331 highest rates 0.401321 single-location WRT employers 0.5799 compensation insurance.* Data 0.306392 certain WRT subsectors 0.529399 WRT employers 0.594174 WRT industry employers 0.505707 WRT subsector Merchant 0.47868 WMSD claims 0.77195 Durable Goods 0.39561 ergonomic hazards 0.291021 WMSD claim rates 0.441605	CLICK HERE
4855	Centers for Disease Control and Prevention	Html	en	Vancomycin-resistant Enterococci in Healthcare Settings - HAI	null	hospitals 0.326995 infected wounds 0.365329 hands 0.407046 VRE 0.92634 urinary catheters 0.456514 device-associated infections 0.408993 transplant wards 0.371088 Enteroccocci 0.329515 surgical procedures 0.440738 Wash 0.313472 immune systems 0.370195 chest surgery 0.369975 contact 0.346761 female genital tract 0.727042 human intestines 0.549684 following persons 0.366061 antibiotic treatment 0.373685 contaminated surfaces 0.371568 antibiotic vancomycin 0.404318 body fluids 0.363184 bloodstream infections 0.414701 drug-resistant infections 0.42873 clean areas 0.361983 antimicrobial-resistant bacteria 0.398571	antibiotics 0.351868 special precautions 0.365932 healthcare providers 0.364236 instances 0.314523 urinary tract 0.382468 hand rubs 0.36746 Wear gloves 0.361611 long periods 0.426607 Network Patient Safety 0.414337 National Healthcare Safety 0.414488 bandages 0.31362 Laboratory testing 0.368481 vancomycin-resistant enterococci 0.604037 surveillance methods 0.363433 people 0.450169 Healthcare facilities 0.36393 intensive care units 0.426726 spread 0.320867 specific types 0.380534 environment 0.329405 medical devices 0.369942 healthcare provider 0.364148 vancomycin-resistant Enterococci infections 0.59247 time 0.339091	CLICK HERE
7640	Centers for Disease Control and Prevention	Html	en	Audit tools & protocols - Collaborative - Dialysis	Information for healthcare providers about dialysis	MPEG 0.276361 PDF 0.201634 PPT 0.326381	email address 0.716575 DOC 0.270026 different file formats 0.90859	CLICK HERE
8716	Centers for Disease Control and Prevention	Html	en	Emergency Preparedness for Older Adults - About	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
9059	Centers for Disease Control and Prevention	Html	en	Head Lice Information for Schools	Information for schools regarding head lice, head lice infestation, and pediculosis.	Personal hygiene 0.395647 Pediatrics 0.240107 nonmedical personnel 0.399494 School Nurses 0.379535 fact 0.232909 American Academy 0.390986 informational materials 0.376563 successful treatment 0.398822 policies 0.269641 Misdiagnosis 0.251384 nits 0.770464 students 0.272108 following reasons 0.385765 advocate 0.237754 burden 0.241049 scalp 0.248719 copying 0.237142 nit checks 0.399329 end 0.238838	shafts 0.238915 class 0.238662 disease 0.235974 head lice 0.904071 shells 0.237219 web site 0.376602 NASN 0.234442 people 0.232915 cleanliness 0.252182 National Association 0.390254 AAP 0.250248 appropriate treatment 0.402864 risks 0.232536 schools 0.233706 public domain 0.3762 inch 0.238406 unnecessary absenteeism 0.405299 return 0.240753 live head lice 0.72993	CLICK HERE
9393	Centers for Disease Control and Prevention	Html	es	Oportunidades perdidas para la cesación del tabaquismo en adultos diabéticos de Florida (2007) y Maryland (2006).	null	Carter-Pokras OD 0.917052 Bethune LA 0.858677 Fried JL 0.980578 Ye C 0.939218	Chen L 0.893216 Johnson TM 0.897551 Estados Unidos 0.578856	CLICK HERE
9567	Centers for Disease Control and Prevention	Html	en	Estimated Percentages and Characteristics of Men Who HaveSex with Men and Use Injection Drugs - United States,1999-2011	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.	male IDU 0.667599 risk reduction programs 0.424885 HIV surveillance systems 0.398789 new HIV infections 0.398688 IDU participants 0.32493 data 0.516559 data source 0.309781 injection drug 0.908774 intensified HIV prevention 0.330618 male-to-male sexual contact 0.339452 CDC. Estimated HIV 0.335732 transmission category 0.449564 NHBS IDU cycle 0.497362 HIV infections 0.431176 HIV risk behavior 0.336747 sexual contact 0.402107 NHSS data 0.317772 adult males 0.30448 IDU 0.748105 HIV risk behaviors 0.338961 Nutrition Examination Survey 0.316127 HIV positive men 0.352533 general male population 0.304688 males 0.369039 HIV medical care 0.36586	IDU cycle eligibility 0.382021 NHBS MSM cycle 0.411891 human immunodeficiency virus 0.319459 IDU cycle* 0.329205 HIV case reporting 0.350374 Medical Monitoring Project 0.363101 male IDU populations 0.489466 general household population 0.314723 United States 0.377686 MSM/IDU 0.634716 high-risk IDU 0.332646 National HIV Surveillance 0.420948 men 0.654015 surveillance systems 0.452665 table 0.317938 HIV Behavioral Surveillance 0.421987 drugs 0.327086 MSM 0.623877 male-to-male sex 0.577901 national surveillance systems 0.321939 National HIV Behavioral 0.422563 medical care 0.395732 injection drug users 0.527469 HIV infection 0.759755	CLICK HERE
11525	Centers for Disease Control and Prevention	Html	en	NCIRD | DBD Bulletin Summer 2012 | Featured Publications	Division of Bacterial Diseases Bulletin Summer 2012	CDC. Licensure 0.56383 13-valent pneumococcal conjugate 0.642931 diphtheria toxoid 0.55996 Tdap vaccination program 0.600518 historical purposes 0.559807 pneumococcal pneumonia 0.559391 PLoS One. 0.556845 Trends Microbiol. 0.559174 Emerg Infect Dis. 0.61785 Bordetella pertussis DNA 0.687809 tetanus toxoid 0.559513 pneumococcal conjugate vaccine 0.747369 Invasive pneumococcal disease 0.608081 Bordetella pertussis 0.691935 acellular pertussis 0.657028 Washington State Department 0.591123 conjugate pneumococcal vaccine 0.668058 Clin Infect Dis. 0.630611 Clark TA 0.604745 current pertussis outbreak 0.673161 Infect Dis. 0.671561 pneumococcal polysaccharide vaccine 0.635283 Gershman KA 0.555044 Emerg Infect Dis 0.613677 Pertussis pseudo-outbreak 0.63811	meningococcal vaccine 0.606163 CDC. Comparison 0.56032 United States 0.757255 Neisseria meningitidis serogroup 0.623118 adult vaccination strategies 0.596749 MacNeil JR 0.554378 pathogen Haemophilus haemolyticus 0.61292 Immunization Practices 0.557036 Advisory Committee 0.556772 Messonnier NE 0.611298 meningococcal disease surveillance 0.627311 Jordan IK 0.554213 Pediatr Adolesc Med. 0.589301 Cohn AC 0.672832 pertussis infection 0.632374 Pertussis epidemic 0.633335 CDC. Updated recommendation 0.607934 Baughman AL 0.574381 Clin Vaccine Immunol. 0.638272 Dunning Hotopp JC 0.60017 Haemophilus influenzae disease 0.619947 et al 0.912993 Pertussis control 0.652258 pertussis trends 0.63125	CLICK HERE
11709	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Use of Genotyping to Disprove aPresumed Outbreak of Mycobacterium tuberculosis - Los AngelesCounty, 2013-2014	Brian J. Baker, MD1, Shameer Poonja, MPH1, Myrna Mesrobian, MD2, Anna Lai2, Steven Hwang, MD2 (Author affiliations at end of text).	latent TB infection 0.766368 foreign-born persons 0.566925 large number 0.467683 patient B. 0.474164 Los Angeles County 0.968264 Shameer Poonja 0.471455 immunocompromised persons 0.492169 public health resources 0.530973 timely universal genotyping 0.544885 abnormal chest radiographs 0.512252 person-to-person transmission 0.522661 unrelated strains 0.480722 health care facility 0.567163 health care providers 0.53076 TB epidemiology 0.616962 Brian J. Baker 0.524358 TB Prevention 0.617828 biologic agents 0.469955 patients 0.541484 future patients 0.472825 Angeles County Department 0.835276 public health response 0.53069 infectious TB 0.662873 M. tuberculosis infection 0.636265	Public Health Laboratory 0.527605 unrelated cases 0.482377 United States 0.53746 Tuberculosis Control Program 0.52925 TB disease 0.86292 high TB prevalence 0.693578 facility contacts 0.477957 Steven Hwang 0.466781 public health 0.83072 mycobacterial isolates 0.477555 acid-fast bacilli 0.468399 Tuberculosis Elimination 0.482488 California Microbial Diseases 0.501728 Author affiliations 0.467173 Myrna Mesrobian 0.475098 TB cases 0.673852 2Los Angeles County 0.515349 TB 0.902921 National Genotyping Service 0.540928 TB adenitis 0.639636 Mycobacterium tuberculosis 0.493427 pulmonary TB 0.761692 additional patients 0.481727 Community Health Services 0.519032	CLICK HERE