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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
1236	Centers for Disease Control and Prevention	Html	en	Restaurant Menu Labeling Use Among Adults - 17 States,2012	Seung Hee Lee-Kwan, PhD1,2, Liping Pan, MD2, Leah Maynard, PhD2, Gayathri Kumar, MD1, Sohyun Park, PhD2 (Affiliations at end of text).	lower calorie 0.303757 highest proportion 0.283963 chain restaurants 0.326758 ML information 0.510117 complex multistage cluster 0.278841 ML policies 0.474013 New York City 0.279013 ML users 0.751129 ML female users 0.478908 lower calorie content 0.299243 ML 0.946424 topic-specific optional modules 0.278741 federal law 0.283462 BRFSS median response 0.276007 restaurant ML users 0.478975 response rate 0.277077 Seung Hee Lee-Kwan 0.363073 moderate ML users 0.458377 chain restaurant ML 0.516205 Valid response options 0.276989 food service establishments 0.277309 cellular telephone respondents 0.300766 self-reported ML 0.475807 Behavioral Risk Factor 0.281885	adult BRFSS respondents 0.317733 fast food 0.379132 calorie intake 0.287382 age group 0.429504 civilian U.S. adults 0.282135 Labeling optional module 0.353118 states 0.389141 telephone household survey 0.280347 BRFSS respondents 0.351648 ML awareness 0.424971 public health professionals 0.286018 New York counties 0.278983 public health 0.310846 Sugar-Sweetened Beverages 0.288089 ML question 0.571569 New York 0.445878 BRFSS state coordinators 0.276425 calorie information 0.510565 ML data 0.426378 Chronic Disease Prevention 0.324712 median survey response 0.283121 healthier dietary choices 0.283285 menu item calorie 0.309727 Menu Labeling 0.285753	CLICK HERE
5307	Centers for Disease Control and Prevention	Html	en	U.S. Asthma Rates Continue to Rise - Press Release: May 3, 2011	U.S. Asthma Rates Continue to Rise	indoor air quality 0.510208 Mortality Weekly Report 0.509493 World Asthma 0.674743 percent increase 0.547174 CDC Director Thomas 0.524537 outdoor air quality 0.523813 Disease Control 0.473551 CDC journal Morbidity 0.521864 health care-associated infections 0.519939 increased diagnoses 0.477371 demographic groups 0.46028 asthma costs 0.770834 health professionals 0.47067 asthma attacks 0.80548 racial/ethnic groups 0.46063 asthma triggers—secondhand smoke 0.752285 tobacco smoke 0.510761 better job 0.458923 health educators 0.468054 asthma 0.922889 health care costs 0.595199 u.s. department 0.502164 essential asthma education 0.752412 persistent asthma 0.662844 economic costs 0.463965	cold-like symptoms 0.466671 Vital Signs 0.569573 lifelong disease 0.524227 United States 0.529831 outdoor air pollution 0.608591 cardiovascular health 0.471198 Annual asthma costs 0.74071 health insurers 0.480981 smoke-free air laws 0.511789 chest tightness 0.469045 Paul Garbe 0.468512 key health indicators 0.519015 medical expenses 0.459702 asthma rates 0.761933 motor vehicle passenger 0.502807 Vital Signs report 0.53428 human services 0.498422 R. Frieden 0.462893 asthma action plan 0.710088 people 0.486728 CDC Vital Signs 0.521427 non-Hispanic black children 0.516229 home environmental assessments 0.498625 Respiratory Health Branch 0.53281	CLICK HERE
5400	Centers for Disease Control and Prevention	Html	en	Chronic Disease Surveillance Systems Within the US Associated Pacific Island Jurisdictions	null	CDC-supported data sources 0.484592 USAPI chronic disease 0.707243 reliable data collection 0.537155 standard chronic disease 0.512729 Northern Mariana Islands 0.508058 chronic disease risk 0.513747 available surveillance data 0.502084 Disease Control 0.489793 surveillance data sources 0.542236 chronic disease teams 0.500427 chronic disease conditions 0.498706 population-based data sources 0.499208 disease surveillance infrastructure 0.486691 data sources 0.795902 risk factors 0.485597 population health 0.487196 World Health Organization 0.483602 disease data sources 0.594199 end-stage renal disease 0.484941 disease surveillance capacity 0.530907 chronic disease 0.978532 disease surveillance data 0.564664 institution-based data sources 0.565117 chronic disease prevention 0.563369 chronic disease data 0.654492	available population-based data 0.488519 chronic disease surveillance 0.942099 links USAPI data 0.5026 disease surveillance indicators 0.507685 American Samoa 0.639888 chronic disease indicators 0.528117 Effective chronic disease 0.545265 Health Metric Network 0.482322 institution-based chronic disease 0.524599 standardized data collection 0.486946 disease surveillance systems 0.503098 hospital discharge data 0.483696 data analysis 0.523315 score data sources 0.483155 USAPI data sources 0.571642 data source quality 0.482856 individual jurisdictions 0.5436 health 0.533639 chronic disease deaths 0.51893 chronic disease trends 0.497252 data collection 0.578298 disease data source 0.518932 USAPI jurisdictions 0.617854 chronic disease representatives 0.50908	CLICK HERE
6986	Centers for Disease Control and Prevention	Html	en	Global Health - Tanzania	CDC has worked with Tanzania and more than 60 partner organizations since 2001 to address HIV, malaria, and other health threats.	partner organizations 0.614436 strategic information 0.560753 new HIV infections 0.960797 CDC 0.535443 endorsement 0.294779 health threats 0.956927 babies 0.270939 malaria 0.561872 wild poliovirus 0.55128 Content source 0.545539 HHS 0.301236 pregnant women 0.578819 transmission 0.262388 Notice 0.270196 service delivery 0.950267	children 0.262366 Download Overview Fact 0.876577 case 0.261247 health systems 0.898983 financial assistance 0.579484 support service delivery 0.900359 Tanzania 0.401002 PEPFAR 0.262745 medication 0.272474 people 0.263548 HIV treatment 0.670789 non-federal site 0.581543 United Republic 0.61601 infrastructure 0.367953	CLICK HERE
7180	Centers for Disease Control and Prevention	Html	en	H5N1 Genetic Changes Inventory: Questions & Answers	Information for the public about the H5N1 Genetic Changes Inventory - CDC	Influenza researchers 0.391411 United Nations 0.258406 influenza antiviral drugs 0.395744 genetic makeup 0.305756 human health 0.293467 amino acid changes 0.339876 Disease Control 0.258722 novel influenza viruses 0.518912 influenza subject matter 0.437068 pathogenic avian influenza 0.425605 subject matter experts 0.282698 H5N1 viruses 0.971507 H5N1 reference laboratory 0.447961 World Health Organization 0.30742 influenza pandemic 0.362723 different genetic groups 0.311967 mammalian species 0.287108 influenza surveillance 0.448394 multiple genetic changes 0.313321 PubMed H5N1 publications 0.445317 H5N1 genetic changes 0.498929 public health impact 0.294907 pandemic preparedness 0.256031 amino acid sequences 0.380732 amino acid 0.480885	amino acids 0.278412 publically available information 0.287682 amino acid sequence 0.328403 H5N1 influenza viruses 0.983961 genetic sequence 0.258056 sporadic infections 0.260035 public health 0.298959 HPAI H5N1 viruses 0.631068 HPAI H5N1 influenza 0.582797 mammalian hosts 0.260048 specific genetic changes 0.384676 antiviral drugs 0.512613 health organizations 0.305494 CDC researchers 0.262788 genetic changes 0.898382 Agriculture Organization 0.256978 amino acid motifs 0.325311 infect birds 0.260896 naturally-occurring H5N1 viruses 0.666065 text mining process 0.288153 H5N1 Inventory 0.618988 Animal Health 0.260406 international influenza experts 0.486984 naturally-occurring changes 0.284676	CLICK HERE
8031	Centers for Disease Control and Prevention	Html	en	CDC Advisory - Climate and Health Symposium Puts Science into Practice	[Title]	National Oceanic 0.488075 thunderstorms 0.345257 Human Health Research 0.643605 National Climate Assessment 0.747086 health disparities 0.532487 storm damage 0.470784 kmoran@michaeldbaker.com 0.463895 special focus 0.471764 Kerri Moran 0.483227 vulnerable populations 0.674771 meeting 0.357204 NIEHS Climate 0.591997 Extreme Weather 0.494222 Important Instructions 0.474633 climate change 0.918448 Health Program 0.502858 research community 0.505483 surveillance data 0.469289 NCA Climate change 0.788309 intense heat wave 0.628915 Public 0.332106 u.s. department 0.630394 chronic illnesses 0.462249 City Health Officials 0.732144	CDC’s Climate 0.596479 latest research advances 0.624439 State 0.331868 Media wishing 0.465964 Science 0.331641 power outages 0.497903 County 0.331998 ASTHO 0.365376 long term impact 0.614278 NACCHO 0.365643 health departments 0.543203 various cities 0.473448 S.W. Washington 0.484423 two-day symposium 0.520369 Independence Avenue 0.480519 Territorial Health Officials 0.738546 human services 0.629799 Atmospheric Administration 0.474494 NIH 0.338353 previous record 0.47644 National Association 0.515266 cumulative stresses 0.487388 best practices 0.473636 information 0.361261	CLICK HERE
8289	Centers for Disease Control and Prevention	Html	en	HIV Infection Among Heterosexuals at Increased Risk - UnitedStates, 2010	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.	National HIV/AIDS Strategy 0.32024 new HIV infections 0.388383 metropolitan statistical areas 0.386995 HIV prevention 0.423882 high school education 0.529248 anonymous HIV testing 0.399562 current HIV prevention 0.378596 HIV infections 0.392217 undiagnosed HIV infection 0.392808 HIV risk behaviors 0.380021 Unweighted HIV prevalence 0.428357 HIV testing behaviors 0.40239 low-ses heterosexuals 0.35623 HIV prevention services 0.396466 persons 0.330096 HIV testing results 0.421675 NHBS HIV test 0.43321 low socioeconomic status 0.389248 recent HIV test 0.47734 United States 0.378274 HIV prevalence 0.569604 high AIDS prevalence 0.330842 low SES 0.392732 HIV infection status 0.396226 crack cocaine 0.338521	previous positive HIV 0.896167 HIV transmission 0.357975 positive HIV test 0.878365 participants 0.324919 HIV Behavioral Surveillance 0.583046 New York 0.368491 HIV test result 0.735873 HIV incidence 0.354513 HIV test 0.887799 high prevalence 0.361116 urban areas 0.31918 National HIV Behavioral 0.583815 exchange sex partner 0.413789 overall HIV prevalence 0.448242 HIV care 0.356629 NHBS HIV testing 0.426772 HIV 0.922488 HIV prevention interventions 0.38287 HIV test results 0.450138 HIV stigma 0.356623 HIV testing 0.635874 NHBS monitors HIV 0.458213 previous HIV test 0.398394 HIV infection 0.514024	CLICK HERE
9976	Centers for Disease Control and Prevention	Html	en	Healthy Places - Transportation and Health Resources - Transportation and Health Policy and Practice	Healthy Places - Transportation and Health Resources - Transportation and Health Policy and Practice	Slower speeds 0.473493 general public 0.485618 transportation officials 0.494673 Transportation Subcommittee 0.492804 transportation policies 0.522612 health issues 0.490869 Disease Control 0.669399 active transportation 0.545442 traffic speed reductions 0.52407 Vehicle speed 0.472296 harms public health 0.567626 transportation systems 0.543183 Healthy Transportation Policy. 0.538446 CDC policy statement 0.539125 integrate transportation 0.485584 community design 0.58155 public transportation 0.528664 National Academies http://www.trbhealth.org 0.50737 health benefits 0.491016 community design policies 0.515498 Improving Health 0.510287 specific recommendations 0.478086 environmental public health 0.574022 fewer motor vehicle 0.527638 Public Health Institutes 0.575997	URL 0.495158 unintentional injury deaths 0.52599 adverse health 0.507667 transportation policy 0.585942 equitable transportation policy 0.539373 Transportation Research Board 0.53949 specific road features 0.519245 public health professionals 0.656729 Prevention Institute 0.505594 Health Resources 0.547602 public health 0.944291 American Public Health 0.733947 public health perspective 0.569767 speed reduction resources 0.519702 vehicle speeds 0.474487 motor vehicle-related injuries 0.519108 Key high-level areas 0.523387 Public Health Association 0.733888 healthy community design 0.531735 higher speeds 0.469292 transportation issues 0.545793 CDC Recommendations 0.479508 transportation 0.673609 community speed reduction 0.631226	CLICK HERE
13355	Centers for Disease Control and Prevention	Video	en	Pertussis Testing Video: Collecting a Nasopharyngeal Swab Clinical Specimen	This video demonstrates how to correctly collect and transport a nasopharyngeal (NP) swab for pertussis diagnostic testing. Determining who has pertussis can be difficult. Whenever possible, a properly obtained NP swab or aspirate should be collected from all persons with suspected cases. It is essential to use correct technique when collecting and transporting specimens for laboratory testing. Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html This video can also be viewed at http://www.cdc.gov/pertussis/clinical/diagnostic-testing/specimen-collection.html#swab-testing	Specimen 0.263645 Nasopharyngeal Swab Clinical 0.923614	Pertussis Testing Video 0.693543	CLICK HERE
14378	Centers for Disease Control and Prevention	Html	en	Notifiable Diseases and Mortality Tables | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	equine encephalitis virus 0.293518 CDC 0.219018 Vector-Borne Diseases 0.218974 rubella congenital 0.7699 data 0.281474 United States 0.237656 La Crosse virus 0.228044 National Notifiable Diseases 0.221086 tetanus 0.265996 Mountain Spotted Fever 0.212659 California serogroup diseases 0.240926 Budget approval 0.218862 Hemorrhagic Fever cases 0.236621 Zoonotic Infectious Diseases 0.311082 variant viruses 0.214209 ArboNET Surveillance 0.210928 U.S. territories 0.225882 table 0.323804 jurisdictions 0.249057 St. Louis virus 0.228903 influenza A virus 0.215172 National Center 0.391985 case count verification 0.98302	cases 0.294112 2015-16 influenza season 0.232544 pneumoniae invasive disease 0.200139 Spotted Fever 0.247178 Total case counts 0.214843 Variant influenza viruses 0.234795 Fever Group Rickettsia 0.208386 influenza-associated pediatric deaths 0.204405 meningococcal disease 0.213672 Spotted Fever Rickettsioses 0.20732 Cumulative total E. 0.202151 Influenza Division 0.230181 low incidence conditions 0.963874 viral hemorrhagic fevers 0.403192 West Nile virus 0.245088 Cumulative year-to-date counts 0.225679 NNDSS Revision 0.216825 Chikungunya virus 0.247072 Respiratory Diseases 0.213782 toxigenic Vibrio cholerae 0.20247 encephalitis virus diseases 0.237133 Jamestown Canyon virus 0.329027	CLICK HERE