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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
4534	Centers for Disease Control and Prevention	Html	en	HIV/AIDS and the Flu	People with HIV/AIDS are at increased risk of from serious complications from flu - CDC	influenza infection 0.501945 influenza antiviral agents 0.63814 influenza antiviral drugs 0.667501 influenza-related complications 0.515811 HIV-infected persons 0.42386 influenza symptoms 0.516587 ) site. 0.403636 HIV attacks cells 0.495183 antiviral chemoprophylaxis agents 0.423702 example people 0.271816 influenza vaccine 0.772204 seasonal influenza 0.451262 Current CDC guidance 0.339385 certain cancers 0.257269 AIDS 0.324424 lung-related hospitalizations 0.258934 flu antiviral drugs 0.607227 severe paralyzing illness 0.35283 active antiretroviral therapy 0.382402 life-threatening allergic reaction 0.355979 adverse drug reactions 0.339672 inactivated influenza vaccine 0.708354 live influenza virus 0.579897 high risk 0.524724 human immunodeficiency virus 0.401732	antiviral medications 0.468161 advanced HIV disease 0.466354 influenza 0.945315 milder egg allergies 0.357093 United States 0.261501 flu vaccine 0.692463 flu complications 0.533244 certain people 0.294613 flu shots 0.448588 immune response 0.399622 immunodeficiency syndrome 0.269297 health care workers 0.515621 influenza season 0.515875 greater chance 0.360241 certain HIV-infected people 0.492132 people 0.703661 influenza vaccination 0.628795 flu 0.81856 local public health 0.337326 nasal spray vaccine 0.430377 flu shot 0.452227 HIV 0.586511 influenza viruses 0.510023 poor immune response 0.373602	CLICK HERE
4690	Centers for Disease Control and Prevention	Html	en	Commute times, food retail gaps, and body mass index in North Carolina counties	null	North Carolina 0.448328 commute time 0.390185 rural residents 0.380633 North Carolina Department 0.21281 special food services 0.206743 county-level independent variables 0.201504 county-level food sales 0.226185 individual-level bmi 0.282425 county-level variables 0.21118 mean county-level commute 0.262666 county-level BMI 0.272693 county-level mean BMI 0.318146 longer commute times 0.221117 BMI 0.325295 average commute time 0.208621	drinking places 0.245558 commute times 0.635556 NAICS code 0.211841 specialty food stores 0.222786 county-level sales 0.221783 food retail gap 0.925332 county-level retail sales 0.206841 county-level commute time 0.290969 North Carolina counties 0.274497 county-level commute times 0.355083 food retail gaps 0.320831 county-level diversity index 0.20896 county-level demand 0.231366 capita 0.273709	CLICK HERE
6526	Centers for Disease Control and Prevention	Html	en	Key Facts about Human Infections with Variant Viruses (Swine Origin Influenza Viruses in Humans)	Key Facts about Human Infections with Variant Viruses (Swine Origin Influenza Viruses in Humans) - CDC	type A influenza 0.386903 swine influenza virus 0.591329 novel viruses 0.275777 variant flu viruses 0.43509 swine industry 0.235236 H3N2 virus 0.216854 Mortality Weekly Report 0.206511 United States 0.206038 variant influenza virus. 0.460632 human influenza viruses 0.616197 swine herds 0.247966 CDC Seasonal Influenza 0.378394 infected swine 0.283659 infected pigs 0.252116 influenza-infected pigs 0.229355 pigs 0.34685 Variant Influenza Viruses 0.5677 variant influenza virus 0.470507 Swine flu viruses 0.537581 variant viruses 0.434956 exhibits housing pigs 0.246732 human-to-human transmission 0.201732 swine origin influenza 0.491657 influenza A virus 0.377467	novel influenza virus 0.457123 influenza vaccines 0.350998 seasonal influenza 0.484044 influenza pandemic 0.355698 influenza virus infections 0.600287 Yes. Swine flu 0.308289 variant viruses. 0.20184 human seasonal influenza 0.401157 people 0.252521 influenza A H1N1 0.345369 seasonal flu transmits 0.21559 pandemic preparedness efforts 0.208144 human infections 0.305787 new virus 0.256025 limited person-to-person spread 0.212188 influenza viruses 0.964527 sick pigs 0.267213 influenza virus 0.720951 variant virus infections 0.355254 infect pigs 0.213257 U.S. Human Infections 0.238789 state level surveillance 0.200564 influenza a h3n2 0.391627	CLICK HERE
6954	Centers for Disease Control and Prevention	Html	en	CDC - Preventing Chronic Disease: Volume 9, 2012:11_0142	In Ethiopia, lack of reliable data on causes of death prevents full understanding of the double mortality burden of communicable and noncommunicable diseases. Our objective was to help bridge this research gap by analyzing surveillance data on causes of death in Addis Ababa.	epidemiological transition 0.450659 verbal autopsy interviews 0.378409 injuries 0.397193 premature death rate 0.37135 female deaths 0.468894 major causes 0.37466 World Bank 0.382656 standardized verbal autopsy 0.377378 deaths 0.79482 group 0.432318 burial surveillance records 0.369716 adult death rates 0.382466 World Health Organization 0.412216 digestive tract diseases 0.582305 Addis Ababa 0.988385 verbal autopsies 0.530933 verbal autopsy questionnaire 0.412811 Mortality Surveillance Program 0.455029 overall death rates 0.38049 Addis Ababa population 0.49409 death rates 0.426895 age-specific death rate 0.381623 Addis Ababa residents 0.532789 Ethiopia 0.368765 study 0.453291	death 0.62983 age group 0.418825 adults 0.421231 Addis Ababa Labour 0.470651 communicable diseases 0.682389 Addis Ababa University 0.472553 death rate 0.395994 typical mortality burden 0.371307 Premature deaths 0.44455 burial surveillance 0.544258 verbal autopsy 0.492162 causes 0.508537 premature death increases 0.373169 double mortality burden 0.591632 Addis Ababa Mortality 0.543086 Ababa Mortality Surveillance 0.512489 noncommunicable diseases 0.914211 CVD deaths 0.417503 Addis Ababa cemeteries 0.489058 adult deaths 0.442934 deceased Addis Ababa 0.495084 infant deaths 0.41306 malignant neoplasm 0.413019 proportional death rates 0.3817	CLICK HERE
9339	Centers for Disease Control and Prevention	Html	es	Reducción de enfermedades cardiovasculares mediante guías de pacientes, Denver, Colorado, 2007-2009	null	Task Force 0.439066 posibles participantes 0.590717 Prev Med 0.608006 Increasing physical activity 0.439606 D’Agostino RB 0.444649 cardiovascular health promotion 0.435488 risk factors 0.555447 colesterol hdl 0.637464 colesterol ldl 0.541493 Kannel WB 0.441261 community health 0.487639 community health workers 0.481655 Denver Public Health 0.443907 Hospital Authority 0.434563 coronary heart 0.623273 salud comunitaria 0.448033 baja densidad 0.488624 Battaglia TA 0.438665 Public Health 0.453172 referenciaa periodo 0.439137 Wilson PW 0.437098 alto riesgo 0.446644 puntuación frs 0.9552 disease risk 0.523207 vasculopatía periférica 0.511662	mm hg 0.44637 physical activity questionnaire 0.437454 Características Periodo 0.464339 Gen Intern Med 0.582757 alta densidad 0.635437 Salud Pública 0.532261 Patient navigation 0.480286 bajos ingresos 0.498242 Intern Med 0.655953 aórtico abdominal 0.447994 Sullivan LM 0.44187 modifiable risk factors 0.43532 cardiopatía coronaria 0.662293 Arch Intern Med 0.440705 Denver Health 0.462548 presente intervención 0.512404 physical activity 0.606014 características clínicas 0.534321 health center 0.481708 absolute cardiovascular risk 0.438053 mejorías significativas 0.459824 Community Preventive Services 0.472714 primary care 0.443791 puntuación frs frente 0.449823	CLICK HERE
10573	Centers for Disease Control and Prevention	Html	en	Search the NIOSH Website	null	NIOSH Research Rounds 0.715365 NIOSH Milestones 0.609882 NIOSH History 0.611473 Health Workforce Assessment 0.201582 NIOSH Programs 0.651395 Search Form Controls 0.381327 NIOSH Homepage 0.712037 Contact NIOSH 0.809963 NIOSH A-Z Index 0.778422 Contact NIOSH Add 0.673955 Worker Health Study 0.203643 Health Topics 0.260642 Workplace Safety 0.251271 National Occupational Safety 0.222819 NIOSH Advisory Committees 0.697839	occupational safety 0.459645 Search Controls 0.229884 page options Skip 0.22406 Health Effects Laboratory 0.20448 NIOSH Website 0.908723 Construction Occupational Safety 0.201871 NIOSH Science Blog 0.694829 NIOSH Goals 0.612192 FRN Archive 0.514051 Respiratory Health Division 0.21987 Search NIOSHTIC-2 Research 0.24005 NIOSH Centers 0.643782 NIOSH Awards 0.615479 Notices FRN Archive 0.208056	CLICK HERE
13201	Centers for Disease Control and Prevention	Html	en	Announcement: CDC-Sponsored Continuing Education Courses onScreening for Colorectal Cancer	Colorectal cancer is the second leading cancer killer in the United States. Screening for colorectal cancer saves lives, but problems with its implementation in clinical practice can reduce screening's effectiveness.	CDC-sponsored continuing education 0.648923 endorsement 0.399693 Human Services 0.637746 leaders 0.329283 research 0.329228 U.S. Department 0.632227 MMWR HTML versions 0.622939 primary care providers 0.642609 education credits 0.481567 physicians 0.328979 electronic PDF version 0.602772 colorectal cancer screening 0.798357 health professionals 0.490799 courses 0.357828 colorectal cancer 0.980273 lives 0.332273 Contact GPO 0.514566 maximum benefit 0.480483 patients 0.33008 commercial sources 0.477806 primary care clinicians 0.683504 current prices 0.467503 original paper copy 0.599882 problems 0.332244	best ways 0.488882 nationally recognized experts 0.631776 United States 0.503722 U.S. Government Printing 0.600959 clinical practice 0.501541 Superintendent 0.334044 tools 0.330219 MMWR readers 0.484208 character translation 0.46652 MMWR paper copy 0.612345 course 0.3298 format errors 0.473712 effectiveness 0.329715 colonoscopy procedures 0.501572 implementation 0.332215 typeset documents 0.480424 public health programs 0.646845 trade names 0.477975 official text 0.463841 cancer killer 0.518773 non-CDC sites 0.475306 http://www.cdc.gov/cancer/colorectal/quality 0.329565 electronic conversions 0.466122 printable versions 0.464393	CLICK HERE
13370	Centers for Disease Control and Prevention	Html	en	Information for Health Care Workers | Rat-bite Fever (RBF) |CDC	null	Spirillum minus 0.592867 diagnosis assistance 0.349598 gram-negative microaerophilic bacillus 0.590191 pleomorphic gram-negative bacilli 0.529052 North America 0.383047 rodent exposure 0.380331 rat-bite fever 0.524699 Recent case reports 0.472357 severe nausea/vomiting 0.36162 RBF 0.992699 characteristic spirochetes 0.364356 Streptobacillus moniliformis 0.566834 body fluids 0.348574 infected rodent 0.408287 incidence rates 0.357316 preliminary diagnosis 0.352634 state public health 0.46335 maculopapular rash 0.402834 distinct rash 0.394079 Person-to-person transmission 0.374664 nationally notifiable disease 0.47721 normal respiratory flora 0.519663 United States 0.345649 natural reservoir 0.364429 appropriate specimens 0.464556	Haverhill fever 0.754032 rodent species 0.397142 S. moniliformis 0.937049 Accurate data 0.346047 incubation period 0.378627 differential stains 0.34583 motile spirochete 0.413623 S. minus 0.420297 incubation conditions 0.362119 fever onset 0.478596 red plaques 0.353843 potential risk 0.34816 untreated RBF 0.69899 common symptoms 0.361821 mortality rate 0.348635 Following partial healing 0.476928 positive culture 0.34776 disease incidence 0.356641 rat bite 0.361391 synovial fluid 0.351658 Initial symptoms 0.366155 infected animal 0.365841 specific media 0.349932 darkfield microscopy 0.343958	CLICK HERE
16169	Centers for Disease Control and Prevention	Html	en	HPV Vaccine Information For Young Women	HPV - STD information from CDC. Fact Sheets, Statistics, Treatment Guidelines, Resources for Clinicians and Educators.	HPV types— 0.203411 HPV vaccination 0.344921 HPV test 0.237064 HPV vaccine 0.80765 HPV types 0.486735 cervical cancer 0.691177 targeted HPV types 0.242999	HPV 0.931484 genital warts 0.28749 Genital HPV 0.246161 HPV infection 0.23045 HPV vaccines 0.211736 HPV infections 0.202104	CLICK HERE
16460	Centers for Disease Control and Prevention	Html	en	Characteristics of Electronic Cigarette Use Among Middle andHigh School Students - United States, 2015 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	e-cigarette advertising 0.386574 complex survey design 0.383411 conventional cigarettes 0.381949 multiple device types 0.379791 e-cigarette brands 0.406684 comprehensive tobacco control 0.455588 product types 0.46234 nicotine exposure 0.426682 U.S. Surgeon General 0.386633 commonly used e-cigarette 0.45294 response rate 0.3836 tobacco product dependence 0.394422 tobacco products 0.456261 public health practice 0.392917 commonly reported brand 0.497195 prevention strategies 0.378352 e-cigarette product types 0.425031 Connecticut high school 0.391616 U.S. middle 0.520845 United States 0.438236 Drug Administration 0.389259 youths 0.611918 products 0.458892 Hispanic students 0.398656	nicotine delivery 0.396715 nationally representative sample 0.38035 U.S. students 0.378488 tobacco product 0.633647 brands 0.43107 middle school students 0.427365 substances 0.384343 rechargeable/refillable e-cigarettes 0.53826 e-cigarette users 0.440235 commonly reported brands 0.421561 certain e-cigarette marketers 0.400269 high school students 0.982371 e-cigarettes 0.820511 National Youth Tobacco 0.402011 U.S. youths 0.533109 Nicotine content 0.391399 relative standard error 0.380805 commonly used tobacco 0.573958 high school students.* 0.401242 Table). 0.39851 NYTS response rate 0.380165 disposable e-cigarettes 0.44469 heavily advertised e-cigarette 0.402367 non-Hispanic black students 0.48868	CLICK HERE