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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
4898	Centers for Disease Control and Prevention	Html	en	Overview of a Pandemic - 2009 H1N1 Accomplishments (Part 2 of 3)	null	H1N1 flu vaccine 0.701393 H1N1 influenza vaccine 0.698254 vaccine recommendations 0.632777 VAERS reports 0.490813 seasonal influenza vaccination 0.521911 H1N1 virus 0.489184 vaccination coverage 0.477036 Medical personnel conduct 0.495283 school-based vaccination program 0.526669 safety monitoring systems 0.507184 vaccination rates 0.478072 health care providers 0.508061 Section 508-accessible version 0.517701 vaccine safety information 0.65865 CDC Seasonal Flu 0.561354 H1N1 Flu Survey 0.548745 Vaccine Adverse Event 0.655466 regular human flu 0.541461 public health officials 0.502868 Web-based active surveillance 0.494525 initially limited supplies 0.516945 retail pharmacy stores 0.5006 significant adverse events 0.508072 H1N1 influenza vaccination 0.559759 stand-alone Web document 0.515984	Pregnant women 0.461864 Behavioral Risk Factor 0.500972 effective immune response 0.50183 H1N1 vaccine 0.972721 United States 0.612782 vaccine safety data 0.64561 daycare providers 0.462836 emergency medical services 0.509948 Immunization Practices 0.463277 Advisory Committee 0.463672 VAERS enhancements 0.486993 reference purposes 0.461586 independent body 0.463588 vaccine safety signs 0.650244 target groups 0.516235 initial doses 0.471059 public health importance 0.50379 professional web sites 0.495442 English language content 0.51912 vaccine safety 0.766756 H1N1 vaccines 0.478734 adverse event reports 0.506737 initial target groups 0.498839 PowerPoint presentation 0.461669	CLICK HERE
5021	Centers for Disease Control and Prevention	Html	en	Radiation Emergencies - Information for Public Health Professionals	Information on terrorism and public health. Provided by the Centers for Disease Control and Prevention (CDC).	CRC.  Continuing education 0.461043 NEW 0.2239 public health planners 0.482299 CDC 0.230954 functions 0.22513 professionals 0.250075 vCRC 0.223932 capacity 0.227056 copies 0.225832 medical response 0.336209 TTY 0.241881 tribal public health 0.492991 state 0.224701 credit 0.223097 public health 0.901041 crc operations 0.48433 addition 0.225707 community reception center 0.713781	radiation emergencies 0.5306 overview 0.238943 orientation 0.228934 product 0.223019 staff 0.223436 volunteers 0.223405 Virtual Community Reception 0.482807 important role 0.362601 traditional public health 0.499608 public health personnel 0.59409 following resources 0.349549 radiation emergency 0.398179 training video 0.333143 plans 0.224543 nuclear/radiological incident 0.338764 response partners 0.329573 Key responsibilities 0.361342 training program 0.341466	CLICK HERE
5402	Centers for Disease Control and Prevention	Html	en	An observational study of the secondary effects of a local smoke-free ordinance.	null	smoking rates 0.762322 frequent binge drinking 0.634521 data 0.600256 community survey 0.584962 survey respondents 0.582294 local ordinance 0.562409 binge drinking 0.803869 student binge drinking 0.565682 bar owners 0.570682 bar patrons 0.558416 alcohol-related public disturbances 0.604184 bar smoking policies 0.582123 potential health benefits 0.567898 bar-going behavior 0.555516 house parties 0.6684 student smoking rates 0.726033 response rate 0.595706 citywide smoke-free ordinance 0.66337 extensive objective data 0.551425 smoking ordinance 0.674372 Madison smoke-free ordinance 0.734271 multiple data sources 0.573068 intoxicated driving 0.543964 community drinking rates 0.558827	survey 0.668723 ordinance opponents 0.567626 statewide smoking bans 0.550783 drinking behavior 0.595578 study 0.617047 proportion z test 0.876133 university student survey 0.60329 Madison ordinance 0.582396 high-risk drinking 0.606963 general population 0.568864 university students 0.675167 general adult population 0.556727 smoking 0.845456 smoke-free policies 0.569924 ordinance 0.847159 smoke-free ordinance 0.796487 key informant interviews 0.661664 smoking bans 0.631796 police records 0.577865 drinking rates 0.641294 public disturbances 0.952079 smoke-free ordinances 0.7869 university survey data 0.562891 study staff 0.547364	CLICK HERE
7881	Centers for Disease Control and Prevention	Html	en	Social Media Tools for Consumers and Partners - CDC Social Networking Comment Policy	Basic information from CDC about breast cancer.	participation 0.328836 CDC posts 0.575804 National Contact Center 0.591484 health information 0.453534 discussion 0.329355 Representatives 0.326721 medium 0.326319 media inquiries 0.463865 contact CDC-INFO 0.451978 individuals 0.381479 content 0.329489 fan 0.331722 social media channels 0.626363 TTY 0.34618 majority 0.330681 Spanish 0.328628 social media 0.909474 social media profiles 0.555058 order 0.331381 respectful manner 0.467925	thoughts 0.327304 comments 0.347615 goal 0.326551 single source 0.463231 maturity 0.333239 violations 0.330015 social media pages 0.574725 inappropriate comment 0.486388 ideas 0.326508 CDC comment policy 0.717173 personal attacks 0.447357 fans 0.327336 English 0.328651 health questions 0.453056 organizations 0.331321 opinions 0.327282 science-based messages 0.488773 moderation capabilities 0.458062 science-based information 0.4772 negative speech 0.445805	CLICK HERE
7916	Centers for Disease Control and Prevention	Html	en	Global Health - Nigeria - Why We Are Here	null	public health principles 0.959182 endorsement 0.365546 CDC 0.32569 languages 0.292087 nation 0.293043 religious beliefs 0.732295 Health problems 0.662859 Africa 0.294 practices 0.29094 Content source 0.679259 HHS 0.377181	world 0.281841 non-federal site 0.756545 Notice 0.321212 sponsors 0.279254 ethnic groups 0.775924 important area 0.679601 diverse range 0.758195 Nigeria 0.515361 employees 0.279519 populous country 0.846828	CLICK HERE
9128	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Factors Predicting Physical Activity Among Children With Special Needs - CDC	Obesity is especially prevalent among children with special needs. Both lack of physical activity and unhealthful eating are major contributing factors. The objective of our study was to investigate barriers to physical activity among these children.	child physical limitations 0.459496 attention deficit hyperactivity 0.455454 adequate physical activity 0.47101 sedentary children 0.433384 school-based activity programs 0.444368 higher obesity prevalence 0.431361 family-based interventions 0.46239 California Los Angeles 0.432166 child physical activity 0.568583 David Geffen School 0.465348 parental attitudes 0.442628 children 0.658193 moderate-to-vigorous physical activity 0.479428 nonprofit school 0.433287 physical health benefits 0.452437 small sample size 0.449705 healthy children 0.431963 parental physical activity 0.505105 obesity 0.434579 mental health problems 0.430779 commonly cited barriers 0.432064 socioeconomically diverse group 0.430825 special needs 0.85688 physical skills 0.432574	behavioral problems 0.444191 physical development 0.437126 greater activity 0.432575 response rate 0.447583 Mattel Children 0.439147 Vista Del Mar 0.50996 typical children 0.435266 physical activity 0.968177 lack 0.441668 children’s participation 0.434106 Del Mar School 0.483956 disabilities 0.4465 barriers 0.472646 physical activity habits 0.476811 12th grade 0.447273 physical activity change 0.463148 child body mass 0.434734 physical activity level 0.521618 inadequate physical activity 0.470467 healthier children 0.431481 Los Angeles 0.504982 developmentally appropriate programs 0.432059 parents 0.533406	CLICK HERE
9985	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Menu-Labeling Usage and Its Association with Diet and Exercise: 2011 BRFSS Sugar-Sweetened Beverage and Menu Labeling Module - CDC	The primary objective of our study was to investigate the association between menu-labeling usage and healthy behaviors pertaining to diet (consumption of fruits, vegetables, sodas, and sugar-sweetened beverages) and exercise.	North Texas Health 0.48512 weekly aerobic exercise 0.481881 Multivariable logistic regression 0.500311 Risk Factor Surveillance 0.509227 chain restaurants 0.479303 obesity prevention programs 0.506552 Texas Health Science 0.486058 Menu Labeling module 0.601985 actual calorie consumption 0.479885 logistic regression 0.518765 results 0.461389 Sugar Sweetened Beverage 0.470438 vegetable consumption information 0.469804 Behav Nutr Phys 0.544225 Behavioral Risk Factor 0.509305 certain healthy behaviors 0.467568 study 0.479095 aerobic exercise guidelines 0.639311 healthy behaviors 0.621299 calorie intake 0.531559 fast food 0.47986 United States 0.464511 fruit 0.466797 soda consumption 0.473832	vegetables 0.469127 states 0.471085 major public health 0.46327 Sugar Sweetened Beverages 0.465029 fruits 0.495156 Int J Behav 0.476109 Nutr Phys Act 0.542905 sugar-sweetened beverages 0.489435 annual health care 0.459764 sugar-sweetened beverage consumption 0.515714 beverage consumption 0.529289 calorie information 0.502147 daily aerobic exercise 0.470637 menu items 0.473602 healthier food choices 0.507344 annual household income 0.490826 menu-labeling usage 0.860788 primary objective 0.460754 soda 0.507905 influence healthier food 0.507381 people 0.513356 Health Science Center 0.486996 menu-labeling users 0.488125 menu labeling 0.998606	CLICK HERE
10992	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Demographic Factors Associated With Perceptions About Water Safety and Tap Water Consumption Among Adults in Santa Clara County, California, 2011 - CDC	The objective of this study was to examine differences in tap water consumption and perceptions of bottle versus tap water safety for Hispanics and non-Hispanic whites, as well as associations with other demographic characteristics.	primarily drink tap 0.452381 low water intake 0.395335 County tap water 0.494015 New York City 0.42851 Public Health Institute 0.374238 Clara County respondents 0.382892 previous studies 0.373813 drinking water behaviors 0.404172 Zhouri A. Perceptions 0.378937 tap water safety 0.557612 Santa Clara County 0.864344 County Public Health 0.404844 BMC Public Health 0.406774 Pediatr Adolesc Med 0.388547 water consumption patterns 0.41082 Water Health 0.433414 Clara County Health 0.390078 Constant F. Water 0.396794 water consumption 0.730833 water consumption choices 0.4125 unfiltered tap 0.403024 sociodemographic characteristics 0.383749 CrossRef 0.387784 ) water. 0.382429 Clara County Dietary 0.375364	tap water 0.977612 Mendoza M. Tap 0.412227 bottled water 0.856237 adults 0.376538 water quality issues 0.415543 public opinion survey 0.401635 primarily consuming tap 0.484525 water intake 0.402675 Survey Research Group 0.400491 Public Health Department 0.400171 Public Health Nutr 0.375473 Clara County Public 0.375966 tap water consumption 0.646395 Water consumption beliefs 0.418255 non-Hispanic whites 0.380796 Community Health 0.376448 public health 0.584062 Arch Pediatr Adolesc 0.388416 versus tap water 0.497442 bottled plain water 0.461699 total water consumption 0.441602 Dietary Practices Survey 0.447501 York City Department 0.37846 perceptions 0.445302	CLICK HERE
11634	Centers for Disease Control and Prevention	Html	en	NIOSH Topic: Occupational Hearing Loss (OHL) Surveillance - Publications	null	Prevalence 0.274633 occupation 0.26977 comparison 0.249542 NIOSH 0.282689 United States 0.427586 criteria 0.254836 shift 0.264364 worker hearing loss 0.902708 National Health Interview 0.620872 employment 0.237897	analysis 0.237543 Spectrum 0.247877 industry sector 0.460739 difficulty 0.259722 protectors 0.275863 Survey 0.237241 OSHA 0.262157 shifts 0.276086 Trends 0.255876 CAOHC Update Fall 0.772061	CLICK HERE
13647	Centers for Disease Control and Prevention	Html	en	Update: Influenza Activity - United States and Worldwide,May 24-September 5, 2015	Lenee Blanton, MPH1; Krista Kniss, MPH1; Sophie Smith, MPH1; Desiree Mustaquim, MPH1; Craig Steffens, MPH1; Brendan Flannery, PhD1; Alicia M. Fry, MD1; Joseph Bresee, MD1; Teresa Wallis, MS1; Rebecca Garten, PhD1; Xiyan Xu, MD1; Anwar Isa Abd Elal1; Larisa Gubareva, PhD1; David E. Wentworth, PhD1; Erin Burns, MA1; Jacqueline Katz, PhD1; Daniel Jernigan, MD1; Lynnette Brammer, MPH1.	influenza 0.924083 variant influenza viruses 0.50264 CDC influenza surveillance 0.436365 avian influenza 0.426967 trivalent influenza vaccine 0.450866 Multiple influenza vaccines 0.426211 novel influenza 0.484817 quadrivalent influenza vaccine 0.494231 influenza information 0.456035 Global Influenza Surveillance 0.457936 U.S. influenza surveillance 0.486151 influenza vaccine viruses 0.613705 live attenuated influenza 0.423376 influenza B component 0.421122 influenza antiviral medications 0.474452 influenza virus infection 0.430564 trivalent influenza vaccines 0.444429 Hemisphere influenza vaccines 0.4831 Influenza Hospitalization Surveillance 0.431898 influenza A virus 0.424753 Influenza surveillance reports 0.42464 influenza vaccine 0.69348	overall influenza activity 0.44986 trivalent inactivated influenza 0.424868 influenza activity 0.660175 influenza vaccines 0.532477 seasonal influenza 0.518354 similar influenza transmission 0.450087 Seasonal influenza viruses 0.5027 influenza neuraminidase inhibitor 0.430942 Northern Hemisphere influenza 0.482739 influenza transmission zones 0.446135 tropical influenza seasonality 0.441683 inactivated influenza vaccine 0.460086 Hemisphere quadrivalent influenza 0.439932 influenza surveillance 0.527658 influenza viruses 0.689115 annual influenza vaccination 0.482545 influenza B virus 0.438744 influenza virus 0.51581 influenza b viruses 0.739842 quadrivalent inactivated influenza 0.424635 influenza a viruses 0.562884 seasonal influenza activity 0.480774	CLICK HERE