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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
4440	Centers for Disease Control and Prevention	Html	en	FluView Weekly Influenza Surveillance Report	Weekly U.S. Influenza Surveillance Report: FluView - CDC	influenza 0.907699 local influenza surveillance 0.506727 influenza positive tests 0.525406 CDC influenza surveillance 0.516307 influenza virus type 0.55342 influenza subtype 0.502884 Puerto Rico 0.452469 United States 0.454208 novel influenza 0.595059 variant influenza infection 0.517802 low ILI activity 0.453671 Influenza A Virus 0.547829 influenza surveillance information 0.525991 Influenza Mortality 0.518992 influenza virus infection 0.511484 influenza B/Victoria-lineage 0.490228 peramivir-resistant influenza 0.483622 influenza data 0.498672 Influenza Hospitalization Surveillance 0.523498 moderate ILI activity 0.453531 influenza vaccine 0.500763 following influenza activity 0.502679 influenza activity 0.591805	influenza vaccines 0.495268 double deletion viruses 0.464184 up-to-date influenza information 0.51883 minimal ILI activity 0.45194 influenza A. 0.518395 influenza viruses co-circulating 0.596635 Local influenza activity 0.505516 Regional influenza activity 0.506479 influenza B/Yamagata-lineage 0.489224 Sporadic influenza activity 0.504889 influenza virus circulation 0.504187 ILI activity 0.539642 oseltamivir-resistant influenza 0.483337 Additional influenza surveillance 0.50638 recent influenza surveillance 0.504177 local influenza information 0.500872 influenza viruses 0.788244 influenza B lineage 0.50044 Influenza B Virus 0.502068 influenza positive specimens 0.514739 vaccine reference virus 0.457886 influenza b viruses 0.574431	CLICK HERE
4833	Centers for Disease Control and Prevention	Html	en	Regression model fitting with quadratic term leads to different conclusion in economic analysis of Washington State smoking ban [response to letter].	null	County Health Department 0.818279 obvious upturn 0.478708 model fit 0.490515 quadratic term 0.936716 model 0.561474 linear model 0.55268 smaller downturn 0.479955 single straight-line fit 0.544948 taxable sales revenue 0.536756 TRS post-SFL 0.515988 quadratic regressions 0.544458 Consumer Price Index 0.530683 exponential growth 0.539459 post-SFL segment term 0.544536 Washington State Department 0.597928 R2 value 0.542227 segmented regression approach 0.553477 improved R2 value 0.530194 quadratic term. 0.535373 linear trend 0.486356 Multnomah County Health 0.842994 post-SFL period 0.473946 linear growth function 0.540136 Portland 0.476447	model projections 0.48261 different models 0.476879 McClintock 0.648194 slightly higher value 0.523653 better fit 0.476544 smoke-free law 0.554964 McClintock’s contention 0.544571 Julie E. Maher 0.512927 segmented model 0.49756 TRS data 0.573186 linear segmented term 0.561859 McClintock’s misunderstandings 0.535289 different inflation adjustment 0.525257 raw TRS data 0.562978 different conclusions 0.483985 Public Health Division 0.707822 McClintock state 0.544759 Figure. Segmented 0.483562 theoretical break point 0.534757 raw data table 0.532531 McClintock’s letter 0.561001 taxable retail sales 0.680017 Michael J. Boysun 0.51341 Oregon Public Health 0.698093	CLICK HERE
5235	Centers for Disease Control and Prevention	Html	en	Influenza Antivirals Guide References	Reference list from the guidance on the use of influenza (flu) antiviral agents - CDC	human influenza 0.589849 influenza infection 0.550687 H1N1 influenza infection 0.523874 influenza antiviral agents 0.523816 pandemic influenza A* 0.542506 Pediatr Infect Dis 0.527089 2009-2010 influenza pandemic 0.529755 severe influenza 0.527752 experimental human influenza 0.538681 pandemic H1N1 influenza 0.536196 Clin Infect Dis 0.706548 seasonal influenza virus 0.538666 seasonal influenza 0.610471 Clin Infect Dis. 0.534635 oseltamivir-resistant influenza 0.531064 Influenza A Pandemic 0.523819 influenza a virus 0.554369 adult influenza 0.515935 influenza virus 0.598216 Emerg Infect Dis 0.536809 influenza 0.772418 multidrug-resistant pandemic influenza 0.515704 A/H1N1 pandemic influenza 0.544041 novel influenza 0.52201	severe influenza infection 0.514911 influenza b virus 0.522952 oseltamivir-resistant pandemic influenza 0.533754 pandemic influenza 0.69426 influenza illness duration 0.520927 2012-2013 influenza season 0.51676 influenza virus infection 0.562775 influenza virus positivity 0.514738 Swine-origin influenza virus 0.515428 neuraminidase inhibitor-resistant influenza 0.527313 influenza season 0.547113 H1N1 influenza 0.610288 influenza — recommendations 0.51699 swine-origin influenza 0.525997 influenza vaccination 0.52262 influenza a infection 0.532718 influenza infections 0.521227 H1N1 influenza pandemic 0.546165 influenza viruses 0.533131 acute influenza 0.531521 adult influenza patients 0.514422 et al 0.926232 rapid influenza 0.519205 novel swine-origin influenza 0.520943	CLICK HERE
8436	Centers for Disease Control and Prevention	Html	en	Sharon's Biography - Sharon's Story - Real Stories - Tips from Former Smokers - Smoking & Tobacco Use	The biography of Sharon, a former smoker who had throat cancer and who is featured in CDC's Tips from Former Smokers campaign.	skin 0.301892 14 years 0.296609 Sharon 0.912261 life 0.383914 mother 0.308016 cancerous tumor 0.760402 outcomes 0.306519 Smokers® campaign 0.673439 things 0.298818 kids 0.298625 counting 0.306774 seventies 0.34456 surgeries 0.31987 wife 0.314056 casual smoking 0.730835 expensive addiction 0.751752	electrolarynx 0.295753 pressure 0.298205 neck 0.308657 message 0.294767 water 0.307659 puff 0.34841 efforts 0.293209 discomfort 0.343993 radiation 0.303728 voice box 0.675778 biopsy 0.329374 cigarettes 0.333385 growth 0.306746 time 0.415088 stage IV throat 0.753667 thing 0.298094	CLICK HERE
9854	Centers for Disease Control and Prevention	Html	en	Basics | Blood Safety | CDC	Blood Safety Basics	red blood cells 0.597025 blood donors 0.438739 blood products 0.424462 transfusion 0.944427 systolic blood pressure 0.428578 transfusion reaction 0.803844 U.S. blood supply 0.585085 hypotensive transfusion reaction 0.643585 delayed hemolytic transfusion 0.623038 Transfusion-related acute lung 0.437679 common adverse reactions 0.421247 blood transfusions 0.590579 adverse reactions 0.550613 transfusion recipient develops 0.570279 various infectious disease 0.391481 National Blood Collection 0.425403 blood type 0.510147 acute hemolytic transfusion 0.668848 donor blood 0.394682 allergic reaction results 0.443905 blood donations 0.406071 rare reaction 0.395878 certain infectious disease 0.386107 incompatible blood type 0.434682	non-hemolytic transfusion reaction 0.606679 non-hemolytic transfusion reactions 0.575187 difficulty breathing 0.38752 blood centers 0.439124 serologic transfusion reaction 0.65147 common reaction 0.398008 emergency treatment facilities 0.397524 life-saving blood transfusions 0.491131 Transfusion-associated circulatory overload 0.446132 transfusion-associated adverse reactions 0.422664 infectious disease pathogens 0.474715 acute lung injury 0.437667 blood components 0.388379 red blood cell 0.433427 Febrile non-hemolytic transfusion 0.610955 hemolytic transfusion reaction 0.749192 hemolytic transfusion reactions 0.592057 National Healthcare Safety 0.462661 delayed serologic transfusion 0.611683 transfusion basic science 0.601613 blood transfusion 0.804574 allergic reaction 0.46921 severe reaction 0.419925 blood 0.875607	CLICK HERE
9876	Centers for Disease Control and Prevention	Html	en	Methadone - Prescription Painkiller Overdoses infographic	CDC Vital Signs - Prescription Painkiller Overdoses	highest quartile 0.422608 nonmedical reasons 0.516 United States 0.446502 painkiller overdoses 0.538967 careful prescribing 0.497115 death rate 0.466878 percent 0.251378 states 0.468622 pain starts 0.455396 prescription drug abuse 0.789579 rate 0.552057 major factor 0.483613 bar chart 0.436117 kilograms 0.745366 lowest quartile 0.439817	horizontal axis 0.862593 methadone 0.907509 prescriptions 0.310091 Methadone-related overdoses 0.446667 highest rate 0.480508 methadone overdoses 0.882204 people 0.66132 U.S. map 0.452306 single prescription painkiller 0.798147 vertical axis 0.843037 horizontal axis names 0.761453 diversion 0.410615 death rates 0.424212 information 0.322802	CLICK HERE
9905	Centers for Disease Control and Prevention	Html	en	Health Alert Network | Notice to Public Health Officials and Clinicians: December 13, 2013	Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC).	CDC Health Alert 0.253528 common clinical findings 0.21921 chikungunya virus 0.982799 specific antiviral treatment 0.214661 St. Martin 0.309406 local health department 0.331887 enhances health decisions 0.219247 local transmission 0.220091 critical health issues 0.221761 suspected chikungunya cases 0.471177 state health departments 0.220827 acute onset 0.318066 ongoing chikungunya outbreaks 0.413027 nucleic acid amplification 0.216202	dengue virus infection 0.277992 World Health Organization 0.249028 chikungunya fever 0.367596 chikungunya virus infection 0.79021 similar geographic distribution 0.209845 virus diagnostic testing 0.266712 Aedes albopictus mosquitoes 0.244214 wear long sleeves 0.213707 chikungunya cases 0.533146 additional suspected cases 0.253857 acute-phase samples test 0.214773 severe disease 0.223172 Healthcare providers 0.229425 viral nucleic acid 0.216798	CLICK HERE
10145	Centers for Disease Control and Prevention	Html	en	Global Health - Global Health Security - Respond	null	operational frameworks 0.590746 endorsement 0.452236 CDC 0.438898 access 0.431114 vaccines 0.442548 policies 0.428881 navigation Skip 0.779913 capacity 0.556188 Content source 0.562738 HHS 0.456187 multi-sectorial rapid response 0.746733 Notice 0.437178 public 0.428742 Emergency Operations Centers 0.751443	medications 0.43733 real-time information 0.580509 outbreak 0.4483 medical personnel 0.572237 list Skip 0.778192 personal protective equipment 0.73698 teams 0.431162 page options Skip 0.94755 Promote establishment 0.601714 non-federal site 0.600067 animal health 0.572653 technical expertise 0.58039 employees 0.428622	CLICK HERE
10874	Centers for Disease Control and Prevention	Html	en	Men's Health - National Men's Health Week	The pathway to men’s health information and resources from the Centers for Disease Control and Prevention to promote wellness and prevent disease, injury, and disability.	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
11304	Centers for Disease Control and Prevention	Html	en	Lead - State and Local Programs - Louisiana Data, Statistics and Surveillance	The Childhood Lead Poisoning Prevention Program is committed to the Healthy People goal of eliminating elevated blood lead levels in children by 2020. CDC continues to assist state and local childhood lead poisoning prevention programs, to provide a scientific basis for policy decisions, and to ensure that health issues are addressed in decisions about housing and the environment.	reports 0.227577 CDC 0.230527 blood lead tests 0.90491 classifications webpage 0.379386 Click 0.225812 reporting level 0.355133 data files 0.352122 states 0.267969 data collection methods 0.486402 datasheets 0.237516 population-based estimate 0.386303 lead test result 0.497317 health departments 0.368961	Lead Poisoning Data 0.475236 results 0.227131 program management purposes 0.486427 grantees 0.237947 elevated values 0.387957 limitations 0.236538 state-specific data 0.378202 data elements 0.365836 standard surveillance definitions 0.508712 new browser window 0.464744 local level 0.34994 laboratories 0.271776	CLICK HERE