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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
4948	Centers for Disease Control and Prevention	Html	en	2010 Haiti Cholera Outbreak: CDC Responds to Cholera Outbreak in Haiti	CDC - Global Health	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
6465	Centers for Disease Control and Prevention	Html	en	Using a socioeconomic position index to assess disparities in cancer incidence and mortality, Puerto Rico, 1995-2004	Evaluation of the extent of socioeconomic inequalities in cancer incidence and mortality is essential to generate hypotheses in population health research and provides evidence for population-based strategies for comprehensive cancer control.	lowest SEP 0.534464 earlier time period 0.501483 Puerto Rico cancer 0.536417 highest socioeconomic level 0.477222 Central Cancer Registry 0.51047 SEP index 0.575815 vs SEP 0.505978 Puerto Rico population 0.533817 socioeconomic disparities 0.526941 overall cancer incidence 0.472324 Puerto Rico Planning 0.519555 SEP area 0.543974 SEP level 0.539128 socioeconomic position index 0.477646 high SEP 0.501183 Puerto Rico SEP 0.602206 intrahepatic bile duct 0.484193 SEP 0.748909 Puerto Rico 0.965637 cancer mortality data 0.487757 United States 0.498635 Rico Central Cancer 0.562528 population health research 0.474895 Puerto Rico Central 0.572845 Puerto Rico Department 0.571865	all-site cancer mortality 0.477803 continental United States 0.476418 comprehensive cancer control 0.485635 highest SEP 0.532984 lowest socioeconomic level 0.47843 SEP differences 0.512196 higher SEP score 0.534104 Puerto Rico census 0.522629 low SEP levels 0.513914 socioeconomic inequalities 0.482104 San Juan 0.528112 Puerto Rico Comprehensive 0.520134 socioeconomic position 0.529389 SEP levels 0.541869 health 0.489554 Comprehensive Cancer Center 0.479026 Puerto Rico data 0.53831 area-based socioeconomic position 0.510656 Rico socioeconomic data 0.567522 area-based SEP 0.506313 cancer mortality 0.503267 mortality 0.537961 cancer 0.622633 cancer incidence 0.582149	CLICK HERE
6852	Centers for Disease Control and Prevention	Html	en	Multistate Outbreak of Salmonella Altona and Johannesburg Infections Linked to Chicks and Ducklings from a Mail-Order Hatchery - United States, February-October 2011	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. 0.213488 USDA-NPIP Salmonella guidelines 0.453252 animal health agencies 0.302631 Salmonella Altona patients 0.499107 original MMWR paper 0.272555 U.S. Government Printing 0.269127 Beverly A. Byrum 0.270264 Human Services 0.25452 assistive technology 0.206223 Jennifer R. Mitchell 0.415948 Casey Barton Behravesh 0.260465 Salmonella Johannesburg patients 0.485028 U.S. Department 0.33915 MMWR HTML versions 0.265889 Salmonella Johannesburg 0.546086 agricultural feed store 0.434543 Ohio Dept 0.28329 Health Inspection Service 0.427056 mail-order hatchery industry 0.335453 electronic PDF version 0.265077 human Salmonella infections 0.829915 poultry improvement plan 0.502317 Zoonotic Infectious Diseases 0.264593	foodborne disease surveillance 0.283604 multiple hatcheries 0.232372 Plant Health Inspection 0.428439 molecular subtyping network 0.288843 feed store chain 0.27902 live poultry contact 0.532759 single mail-order hatchery 0.343085 subject line 0.206776 Contact GPO 0.216072 Katherine A. O'Connor 0.261455 Tony M. Forshey 0.264434 Kimberly D. Machesky 0.266397 national poultry improvement 0.500994 comprehensive Salmonella control 0.454014 agricultural feed stores 0.273942 Salmonella serotype Altona 0.499573 public health problem 0.471794 live poultry purchases 0.38175 Leslie B. Hausman 0.267637 original paper copy 0.259005 live poultry 0.901335 mail-order hatcheries 0.426873	CLICK HERE
8620	Centers for Disease Control and Prevention	Html	en	PanFlu Storybook - In Memorial, Bernice Geller Deady	In Memorial, To date, October 1918 remains the deadliest month in U.S. history when approximately 200,000 Americans died of the flu. Healthy, young adults (average age 35 years) began coughing in the morning and were dead by the evening. The family stories described in this section define true courage amid unbearable loss.	Bernice Geller Deady 0.941932 expensive Lladró® collectibles 0.333451 60th wedding anniversary 0.660163 flu victims 0.22059 Belva Geller Griffin 0.389641 familial lore 0.201892 early 1900s 0.205246 Leo Deady 0.432599 twins 0.304333	Dan Deady 0.390281 Mary Eleanor Deady 0.55206 Leolia Griffin Smith 0.331087 deathly shade 0.216641 twin boys 0.210818 Grandmother Bernice 0.694978 Barbara Deady Weikert 0.522221 incorrigible genealogy habit 0.344282	CLICK HERE
12141	Centers for Disease Control and Prevention	Html	en	Announcements: Recommendation Regarding Obesity Preventionand Control - Community Preventive Services Task Force	The Community Preventive Services Task Force recently posted new information on its website: "Obesity Prevention and Control: Behavioral Interventions that Aim to Reduce Recreational Sedentary Screen Time Among Children." The information is available at http://www.thecommunityguide.	prevention experts 0.489272 CDC 0.555932 endorsement 0.402065 Human Services 0.81106 research 0.329452 U.S. Department 0.81826 MMWR HTML versions 0.623492 task force 0.949541 electronic PDF version 0.606618 review 0.329235 new information 0.510716 members 0.330228 Preventive 0.334552 population health 0.496136 Contact GPO 0.5174 Director 0.330181 commercial sources 0.481137 decision makers 0.481089 Recreational Sedentary Screen 0.697226 Obesity Prevention 0.507397 current prices 0.469256 original paper copy 0.603652 programs 0.356799 http://www.thecommunityguide.org/obesity/behavioral.html 0.334109	wide range 0.487029 U.S. Government Printing 0.609393 policies 0.329767 Superintendent 0.334634 Time 0.332689 MMWR readers 0.487377 character translation 0.468825 technical support 0.484219 Control 0.332801 MMWR paper copy 0.616519 Children 0.332668 public health 0.505811 format errors 0.476429 website 0.332862 approval 0.332115 typeset documents 0.483277 trade names 0.481313 Services Task Force 0.798473 official text 0.465931 non-CDC sites 0.478389 Behavioral Interventions 0.505175 uncompensated panel 0.483209 electronic conversions 0.468686 printable versions 0.462623	CLICK HERE
12700	Centers for Disease Control and Prevention	Video	en	Jamie Foxx Talks About HIV	Jamie Foxx speaks to the urgency of the HIV epidemic among young African Americans and encourages people to talk about HIV. Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html	Jamie Foxx 0.935065	campaign 0.340547	CLICK HERE
12831	Centers for Disease Control and Prevention	Html	en	Update on Progress in Selected Public Health ProgramsAfterthe 2010 Earthquake and Cholera Epidemic - Haiti, 2014	Please note: An erratum has been published for this article. To view the erratum, please click here.	Barbara J. Marston 0.753035 Haemophilus influenzae type 0.630196 antiretroviral therapy enrolment 0.631223 national sentinel surveillance 0.624651 David W. Lowrance 0.641117 physical health infrastructure 0.645378 immediate post-earthquake period 0.627841 sanitation infrastructure 0.626595 cold chain capacity 0.654602 nucleic acid amplification 0.696648 metropolitan Port-au-Prince 0.660317 Health Organization target 0.654637 Haiti Health Systems 0.836411 local human capacity 0.643512 lymphatic filariasis mass 0.630165 global health 0.663094 World Health Organization 0.759152 largest cholera epidemic 0.690895 health programs 0.698128 acid amplification capacity 0.635708 routine immunization schedule 0.622811 cholera epidemic 0.727945 active tuberculosis cases 0.635686 key health programs 0.685182	J. Wysler Domercant 0.642902 rapid diagnostic tests 0.708446 human immunodeficiency virus 0.629596 global health security 0.652784 Haiti 0.912474 Laboratory diagnostic capacity 0.64296 internally displaced persons 0.633274 vaccine storage capacity 0.658879 clinically diagnosed malaria 0.625171 regional-level storage capacity 0.657938 cold storage capacity 0.741683 metropolitan Port-au-Prince set 0.657826 public health threats 0.672067 Extremely weak water 0.630873 public health 0.693155 key health indicators 0.649905 Global Health Protection 0.651438 rabies surveillance data 0.625029 public health programs 0.656807 weak water 0.631581 Florence D. Guillaume 0.633353 metropolitan Port-au-Prince area 0.650278 malaria pre-elimination stage 0.628414 African Ebola epidemic 0.624021	CLICK HERE
14453	Centers for Disease Control and Prevention	Html	en	NIHSeniorHealth: What is Skin Cancer?	NIHSeniorHealth.gov, NIH Senior Health	heat 0.241109 skin cancer 0.963763 common type 0.411014 infection 0.245492 Nonmelanoma skin cancer 0.530596 nearby tissues 0.402143 skin cancers 0.656293 percent 0.244078 squamous cells 0.450946 Kaposi sarcoma 0.416881 cell skin cancers 0.588271 melanocytes 0.267366 Squamous cell 0.428242 nonmelanoma skin cancers 0.58941	layers 0.249372 body temperature 0.412353 injury 0.241024 Rare types 0.376454 deaths 0.241882 epidermis 0.262879 Merkel cell carcinoma 0.560069 different types 0.38718 stores water 0.424187 sunlight 0.328555 outer layer 0.414239 parts 0.269253 skin lymphoma 0.389555	CLICK HERE
15766	Centers for Disease Control and Prevention	Video	en	Know Your Nailer: Nail Gun Safety	Nail guns are widely used on many construction jobs, especially in residential construction. While they boost productivity in some situations they may also cause tens of thousands of painful injuries each year. By using a nailer in full sequential mode, many of these injuries can be prevented. For more information on nail gun safety: NIOSH Nail Gun Safety: http://www.cdc.gov/niosh/topics/nailgun/ Straight Talk about Nail Gun Safety: http://www.cdc.gov/niosh/docs/2013-149/	Nailer 0.588583	Nail Gun Safety 0.942544	CLICK HERE
15936	Centers for Disease Control and Prevention	Html	en	Harmful Algal Bloom (HAB)-Associated Illness | General Information	null	harmful algal bloom 0.635306 HABs 0.569158 HAB event 0.489376 HAB forms 0.445999 marine water bodies 0.428242 Great Lakes 0.397398 Health Harmful Algal 0.427159 brackish water 0.417973 HABs exposure 0.397612 HAB development 0.424275 state health departments 0.339634 public drinking water 0.493717 Great Lakes Water 0.39734 drinking water supply 0.407567 algal blooms 0.495215 aerosolized water 0.347212 HAB toxins 0.824752 nuisance blooms 0.341796 water 0.987479 individual cases 0.371786 water quality 0.364222 algal bloom 0.887084 Environmental Protection Agency 0.427631 local ecology 0.343681	tap water 0.478849 United States 0.685722 algal toxins levels 0.458772 microscopic marine organisms 0.359291 single-celled aquatic organisms 0.34253 state health department 0.346514 cyanobacteria 0.402021 Contaminant Candidate List 0.398795 water body ecology 0.388732 drinking water 0.53056 HABs events 0.359138 contaminated water 0.399311 salt water 0.46379 water surface 0.357982 health department 0.381449 water different colors 0.417742 local water body 0.410498 drinking water systems 0.400933 marine waters 0.427663 healthcare provider 0.384261 marine water fish 0.683091 brackish waters 0.341986 tap water taste 0.38734 fresh water 0.358099	CLICK HERE