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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
4644	Centers for Disease Control and Prevention	Html	en	Conjunctivitis: Treatment	The treatment for conjunctivitis depends on the cause.	allergic conjunctivitis 0.462265 Mild bacterial conjunctivitis 0.592515 certain eye drops 0.333095 cold compresses 0.242448 topical antihistamine 0.226509 artificial tears 0.237374 herpes simplex virus 0.335841 red eye 0.219923 viral conjunctivitis 0.786656 best treatment options 0.315822 antibiotic resistance 0.241121 prescription eye 0.221183 pink eye 0.243657 contact lenses 0.233761 eye drops 0.339716 Fam Physician. 0.231905 antibiotic treatment 0.243323	antiviral medication 0.235201 specific treatment 0.226374 Allergy medications 0.217802 Kankanala RR 0.223069 conjunctivitis 0.927172 medical care 0.240413 increased costs 0.220695 doctor 0.27236 Mauger T. Diagnosis 0.331173 eye doctor 0.237638 varicella-zoster virus 0.23693 animal dander 0.21784 healthcare provider 0.234481 bacterial conjunctivitis 0.606385 following cases 0.221657 primary care 0.215496 antibiotics 0.25329	CLICK HERE
5171	Centers for Disease Control and Prevention	Html	en	Oregon Activities to Prevent HAIs	null	MDROs 0.419599 Injection Safety 0.680977 HAI Data 0.657735 Healthcare-associated Infections 0.529291 HAI Detection 0.700028 email address 0.661202 CDI 0.43419 recent work 0.663077 Infection Prevention 0.589376 Clostridium difficile infection 0.70975 Appropriate Antibiotic 0.557429 Educational Efforts 0.542209 monthly update 0.681353	Coordinated Prevention 0.562123 Infection Control Assessment 0.685866 ELC HAI-funded Activities 0.685659 Enterobacteriaceae (CRE) 0.681204 Regional Multidrug-Resistant Organism 0.635555 infectious disease 0.684571 Antimicrobial Resistance 0.552855 Laboratory Capacity 0.542902 Initial Implementation 0.52655 information 0.42213 CLABSI Validation Guidance 0.628019 HAI Prevention Infrastructure 0.961806	CLICK HERE
6835	Centers for Disease Control and Prevention	Html	en	Global Health - Dr. Frieden visits Kenya	In Kenya, the CDC is addressing the region's toughest health problems at their source, directly working with vulnerable families and communities in local hospitals, clinics, and laboratories.	CDC 0.860943 CDC staff in-country 0.737051 foreign countries 0.504232 Secretary 0.416234 Laboratory Training Program 0.590482 demographic status 0.500026 polio eradication program 0.631368 U.S. efforts 0.507961 technical support 0.494493 Human Services Kathleen 0.574685 Institute 0.416538 CDC Field Research 0.742024 CDC-affiliated staff 0.503964 epicenter 0.422002 FETP/FELTP website 0.503549 laboratory training 0.60351 field station 0.497222 Dr. Tom Frieden 0.76604 disease surveillance 0.492073 Scott Gration 0.513561 important contributions 0.490518 officers 0.417393 important milestone 0.495945	CDC staff 0.837726 CDC overseas platforms 0.731937 laboratory training programs 0.587926 strategies 0.417008 Director 0.418938 polio case 0.554838 KEMRI 0.449683 CDC staff collect 0.746551 w/ largest gathering 0.583937 people 0.416266 Kenya Medical Research 0.677329 India 0.458617 global health activities 0.619272 dynamic public health 0.599801 TP programs 0.510105 U.S. Ambassador 0.514785 Kenyan health officials 0.630129 Kisian 0.416621 Field Epidemiology 0.525074 preventable deaths 0.521142 Learn 0.416992 information 0.416316 visit 0.431013	CLICK HERE
7267	Centers for Disease Control and Prevention	Html	en	CDC Reports Cases 14-17 of H3N2v Infection; Shares Advice for Safe Fair-Going	CDC Reports Cases 14-17 of H3N2v Infection; Shares Advice for Safe Fair-Going.	flu symptoms 0.465207 H3N2v infections 0.49467 infect swine 0.718489 fairs 0.473029 United States 0.51438 Dr. Dan Jernigan 0.546604 Prevent Disease 0.48266 health care provider 0.759713 influenza antiviral drugs 0.706687 swine influenza 0.81218 reported swine contact 0.759146 pandemic H1N1 virus 0.695065 H3N2v 0.579202 swine herds 0.66656 State Public Health 0.491731 certain people 0.42773 seasonal influenza viruses 0.637756 animal areas 0.469727 swine contact 0.782125 heart disease 0.482442 H3N2v virus 0.518944 Raise Pigs Need 0.489607 CDC Influenza Division 0.643182 close contact 0.42029	Health care providers 0.474398 ill swine 0.668453 preventive actions 0.492629 Public Settings 0.484337 appropriate protective measures 0.466266 higher risk 0.529276 limited human-to-human transmission 0.485406 pandemic M gene 0.413886 novel influenza virus 0.676715 flu-like symptoms 0.41515 personal protective equipment 0.473229 animal diagnostic laboratories 0.508958 similar youth development 0.486234 seasonal flu-related complications 0.472164 website fact sheet 0.471472 sick people 0.427961 state animal health 0.523569 H3N2v viruses 0.54204 people 0.697656 swine 0.918866 influenza testing 0.511847 influenza viruses 0.722147 virus.* Genetic testing 0.50756	CLICK HERE
7381	Centers for Disease Control and Prevention	Html	en	Pandemic Resources Tools - FluLabSurge 1.0	FluLabSurge is a spreadsheet-based program designed to assist laboratory directors forecast demand for specimen testing during the next influenza pandemic (i.e., the surge in demand), and develop response plans - CDC	different modules 0.504497 clinical diagnostics 0.522126 laboratory directors 0.520015 United States 0.495422 influenza-testing laboratories 0.41566 strain identification 0.417184 Software Application 0.519959 free storage memory 0.48972 response plans 0.422225 one-page plan 0.421335 pandemic influenza 0.742291 one-way sensitivity analysis 0.496166 U.S. Federal Government 0.486984 testing capacity 0.446881 time period 0.410813 diagnostic machines 0.412385 particular module 0.461101 FluLabSurge download 0.43845 lab capacity 0.422321 1918-type pandemic scenarios 0.768625 general modeling philosophy 0.482558 Cox NJ 0.486651 file download menu 0.487674 total number 0.419412	spreadsheet-based program 0.429849 Fukuda K. Modeling 0.493421 particular laboratory 0.42249 Fukuda K. 0.513602 influenza pandemic 0.886691 economic impact 0.566602 QuickStart Manual 0.512333 Pandemic Planning Module 0.97658 daily number 0.528611 Security Warning Screen 0.480604 Download Stand-alone FluLabSurge 0.719888 specimens 0.427479 additional test 0.410827 public health officials 0.519504 Meltzer MI 0.588279 Laboratory Capacity Module 0.737219 Workload Demand Module 0.745783 user-defined testing goals 0.531666 meaningful results 0.415942 page 0.427012 1968-type pandemic 0.672448 laboratory testing capacities 0.530887 pandemic stages 0.698113	CLICK HERE
8268	Centers for Disease Control and Prevention	Html	en	Vital Signs: Carbapenem-Resistant Enterobacteriaceae	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.	Escherichia coli 0.466345 CRE HAI 0.631009 CRE emergence.* Patients 0.624794 CRE definitions 0.610392 U.S. acute-care hospitals 0.475282 Current CRE prevention 0.622305 Klebsiella species 0.517705 Enterobacteriaceae infections 0.471007 CRE burden 0.593277 Nosocomial Infection Surveillance 0.504013 surgical site infections 0.466075 substantial health-care exposures 0.508069 Klebsiella pneumoniae carbapenemase 0.47937 acute-care hospitals 0.684702 CRE 0.926293 Laboratory Standards Institute 0.465443 population-based CRE surveillance 0.716057 United States 0.620626 health-care–associated infections 0.468467 panresistant Klebsiella pneumoniae 0.468596 Emerging Infections Program 0.506065 CRE control efforts 0.616337 central-line–associated bloodstream infections 0.468343 EIP CRE surveillance 0.641391	Klebsiella oxytoca 0.471968 long-term acute-care hospitals 0.544472 National Healthcare Safety 0.482458 CRE episodes 0.628771 health-care settings 0.50975 CRE bloodstream infections 0.623659 health-care infections 0.468808 CRE gains 0.582108 CRE surveillance project 0.713855 CRE prevention strategies 0.663682 CRE incidence 0.593682 pan-resistant CRE 0.599614 short-stay acute-care hospitals 0.505885 gram-negative bacilli 0.50432 carbapenem resistance 0.468966 proportion CRE 0.610677 urinary tract infections 0.46381 health-care facilities 0.46571 CRE patients 0.643311 CRE culture-positive episodes 0.746417 Healthcare Safety Network 0.529321 past decade 0.488091 Klebsiella pneumoniae 0.525158 National Nosocomial Infection 0.487718	CLICK HERE
9037	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Occupationally Acquired Salmonella I4,12:i:1,2 Infection in a Phlebotomist - Minnesota, January2013	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. 0.738302 personal risk 0.715438 clinical cases 0.725059 identification band 0.719885 symptom onset 0.744216 Human Services 0.791619 Minnesota Department 0.733629 assistive technology 0.732861 infection prevention specialist 0.853116 MMWR HTML versions 0.804563 U.S. Department 0.787503 Kirk E. Smith 0.803645 phlebotomist 0.722315 electronic PDF version 0.794114 Salmonella transmission 0.771137 health-care workers 0.846983 personal protective equipment 0.803078 C. Patient 0.747978 Contact GPO 0.73223 infected patients 0.738217 Ginette Dobbins 0.726259 occupationally acquired infections 0.809478 commercial sources 0.709454 Illness onset dates 0.849916	Minnesota Dept 0.712812 frozen mice 0.720471 original paper copy 0.798196 Joni Scheftel 0.713791 hand-held sample tracking 0.81983 regular disinfection 0.714244 indistinguishable PFGE pattern 0.848002 multistate outbreak 0.728515 Mary J. Choi 0.969555 U.S. Government Printing 0.804667 original MMWR paper 0.801582 Minnesota resident 0.719593 indistinguishable pulsed-field gel 0.859507 frozen feeder mice 0.819715 MMWR readers 0.716385 MDH Public Health 0.860793 subject line 0.731709 typeset documents 0.713517 trade names 0.709511 temporal relationship 0.714829 occupationally acquired Salmonella 0.876924 risk factor 0.713516 Richard Danila 0.711802 occupational person-to-person contact 0.818416	CLICK HERE
9225	Centers for Disease Control and Prevention	Html	en	Japanese Encephalitis Surveillance and Immunization - Asiaand the Western Pacific, 2012	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.	limited JE virus 0.384675 JE virus infection 0.416332 je laboratory network 0.472324 JE disease burden 0.392449 JE surveillance 0.699199 JE vaccine 0.615196 JE case 0.456439 Western Pacific Region 0.213137 JE immunization programs 0.459832 JE prevention activities 0.389795 JE risk 0.380243 JE immunization program 0.595277 national immunization programs 0.203587 effective JE prevention 0.378277 Susan L. Hills 0.200043 World Health Organization 0.226498 JE surveillance programs 0.475501 je prevention 0.459887	JE case reporting 0.393241 sentinel surveillance 0.207298 countries 0.301468 JE virus transmission 0.975698 JE control 0.425094 surveillance case definition 0.22018 surveillance sites 0.208533 JE vaccination program 0.387209 public health problem 0.279711 case definition 0.253208 government surveillance programs 0.216907 virus transmission risk 0.493745 risk areas 0.200388 JE vaccination 0.400127 laboratory confirmation 0.207494 JE cases 0.482208 pediatric JE vaccines 0.447179 Western Pacific 0.241774	CLICK HERE
14363	Centers for Disease Control and Prevention	Html	en	Tobacco Use Among Middle and High School Students - UnitedStates, 2011-2015 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	current tobacco 0.278894 overall tobacco product 0.243191 Youth Tobacco Surveys 0.234609 electronic cigarettes 0.303768 Tobacco prevention 0.2096 tobacco control outcome 0.232916 tobacco product constituents 0.243672 conventional tobacco products 0.241954 tobacco 0.985462 dissolvable tobacco 0.273311 current tobacco product 0.252738 tobacco product types 0.244873 tobacco pipes 0.202683 tobacco product 0.836433 hookah tobacco 0.207933 middle school students 0.413912 comprehensive tobacco control 0.34538	cigars 0.281741 tobacco product prices 0.233709 certain tobacco products 0.259352 school current tobacco 0.244035 hookahs 0.229507 used tobacco product 0.238552 high school students 0.802307 tobacco pipe 0.208321 e-cigarettes 0.299378 tobacco control policies 0.262442 tobacco products 0.572382 smokeless tobacco 0.680322 single tobacco product 0.226304 commonly used tobacco 0.369991 pipe tobacco 0.563999 cigarettes 0.372179	CLICK HERE
15438	Centers for Disease Control and Prevention	Html	en	Evaluation of the Impact of National HIV Testing Day -United States, 2011-2014 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	transgender persons 0.262883 CDC-funded HIV testing 0.544156 National HIV/AIDS Strategy 0.368578 HIV testing event 0.44739 single testing event 0.278512 NHTD 0.440903 number 0.389754 single conventional test 0.295624 HIV infections 0.686895 testing event data 0.278872 new HIV diagnoses 0.434453 individual HIV status 0.385121 mass testing campaigns 0.269652 HIV status 0.541431 new HIV diagnosis 0.393337 new HIV-positive test 0.292037 HIV testing campaigns 0.4352 new hiv-positive diagnoses 0.546229 racial/ethnic groups 0.279763 national testing event 0.278523 community-based testing events 0.277038 public health practice 0.264293 highest risk 0.292448 National HIV Prevention 0.417219 total testing events 0.280687	human immunodeficiency virus 0.424037 HIV test technology 0.407125 CDC-funded HIV tests 0.387515 CDC-funded testing events 0.290754 new hiv infections 0.603405 HIV testing events 0.825814 newly identified HIV 0.553589 United States 0.298276 HIV-positive persons 0.363105 national hiv testing 0.505167 total HIV testing 0.413733 significant increase 0.259284 National human immunodeficiency 0.271734 HIV-positive testing event 0.303502 HIV diagnosis 0.408697 valid HIV testing 0.44929 HIV test result 0.404726 HIV positive persons 0.440229 MSM 0.268115 hiv testing 0.946508 NHTD campaigns 0.262485 HIV 0.971202 target populations 0.259144 mass testing events 0.276504	CLICK HERE