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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
5959	Centers for Disease Control and Prevention	Html	en	Methylal - NIOSH Pocket Guide to Chemical Hazards	null	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
8294	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Neighborhood Food Outlets,Diet, and Obesity Among California Adults, 2007 and 2009 -CDC	Varying neighborhood definitions may affect research on the association between food environments and diet and weight status. The objective of this study was to examine the association between number and type of neighborhood food outlets and dietary intake and body mass index (BMI) measures among California adults according to the geographic size of a neighborhood or food environment.	food outlet locations 0.491669 neighborhood food outlets 0.552221 census tracts 0.510891 neighborhood food 0.639189 lower BMI 0.506304 BMI measures 0.613087 food outlet types 0.662131 number 0.575639 dietary intake measure 0.496755 sugar-sweetened soft drinks 0.712509 food environments 0.639444 buffer 0.516218 mid-size grocery stores 0.642283 3.0-mile buffer 0.511103 neighborhood food environments 0.558565 control variables 0.491769 body mass index 0.501735 Health Interview Survey 0.534323 grocery stores 0.6894 food environment measures 0.501926 fast-food consumption 0.518123 census tract 0.723164 full-range grocery stores 0.498302 buffer sizes 0.507214 high school graduate 0.511761	significant associations 0.509156 residential census tract 0.504515 convenience stores 0.587551 fast food 0.561199 food deserts 0.493857 dietary intake measures 0.510322 California Health Interview 0.535448 dietary intake 0.954675 fast-food outlets 0.503975 small food stores 0.631016 weight status 0.53326 food outlet data 0.528211 fried potatoes 0.555265 immediate food environments 0.498668 BMI 0.757604 food outlet type 0.520586 food environment 0.699033 fast-food restaurants 0.82393 large supermarkets 0.639441 food items 0.499146 full-service restaurants 0.560164 Average BMI 0.497955 neighborhood food environment 0.602524 food outlets 0.889478	CLICK HERE
8338	Centers for Disease Control and Prevention	Html	en	TB - Basic TB Facts - TB Personal Stories	Division of Tuberculosis Elimination	Health Department Preventive 0.565317 college 0.251383 County Health Department 0.562787 contact investigation 0.319228 Tri 0.894133 Rockdale County Health 0.583064 school 0.242664 home isolation 0.309798 American Lung Association 0.396476 big disease 0.299455 tuberculosis 0.256923 play basketball 0.307292 TB peer counselor 0.581827 Newton 0.240644 fevers 0.2271 preventive health clinic 0.789776 job 0.247079 brother 0.331408 antibiotics 0.224237 TB disease. 0.52611 night sweats 0.325289 advice 0.23668 classes 0.223522 TB disease 0.650155 Gwinnett 0.248961	directly observed therapy 0.399452 younger brother 0.330999 persistent cough 0.324722 company 0.222242 Grayson 0.223362 health care 0.306606 grants 0.235806 severity 0.223371 TB treatment 0.525092 case manager Hoa 0.40935 young men 0.312136 medicine 0.269812 loves-playing basketball 0.32663 TB 0.904852 flu 0.223241 normal activities 0.305808 doctor 0.244909 afternoon 0.223614 help 0.228233 big word 0.303991 TB diagnosis 0.485988 household expenses 0.306099 appetite 0.22486 Department Preventive Health 0.565253	CLICK HERE
9114	Centers for Disease Control and Prevention	Html	en	Dengue Outbreak - Federated States of Micronesia,2012-2013	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.	Dengue signs 0.588123 Health Services outbreak 0.512303 highТЌest suspected dengue 0.618508 dengue case rate 0.684283 RDT-positive dengue case 0.657964 highest RDT-positive dengue 0.650759 dengue RDT 0.590282 dengue cases 0.82165 Kosrae State Epinet 0.498139 Federated States 0.511653 dengue case definition 0.613268 dengue warning signs 0.621497 outbreak response 0.536798 World Health Organization 0.529628 dengue virus 0.643525 rapid diagnostic test 0.5015 Periodic dengue outbreaks 0.605802 dengue outbreak 0.733392 present dengue outbreak 0.640727 40-bed Kosrae State 0.506049 severe dengue overloads 0.598056 Kosrae State residents 0.513413 Dengue Duo 0.616952 dengue case classification 0.602687 explosive dengue outbreaks 0.600529	Multiple dengue outbreaks 0.607402 age group 0.513777 RDT-positive cases 0.520174 highest suspected dengue 0.650356 outbreak response plans 0.499438 dengue outbreaks 0.698607 dengue case 0.738911 Dengue Branch 0.583963 dengue patients 0.599847 dengue surveillance 0.621814 future dengue outbreaks 0.59964 public health 0.579846 severe dengue cases 0.638881 severe dengue 0.733727 RDT-positive dengue cases 0.655718 Enhanced dengue surveillance 0.606758 Kosrae State Department 0.548066 dengue RDTs 0.584486 dengue 0.925733 Kosrae State 0.739686 dengue clinical management 0.705356 dengue vector larvae 0.626935 Kosrae State Hospital 0.55931 dengue virus serotype 0.621285	CLICK HERE
9379	Centers for Disease Control and Prevention	Html	es	Un modelo ecológico que utiliza promotores de salud para prevenir las enfermedades cardiovasculares en la frontera de EE. UU. y México: El proyecto HEART	CDC - Wide Page example description goes here	Ochoa C 0.564401 bajos ingresos 0.536453 Balcázar H 0.540651 Diana Hastings 0.563218 Maria Duarte-Gardea 0.547353 Wise S 0.556161 model using promotores 0.708717 US-Mexico border 0.558224 Jose Rodriguez 0.570564 Rodriguez J 0.559633 proyecto heart hector 0.749261 Cecilia Ochoa 0.585383	HEART Project 0.607395 Leticia Flores 0.553883 Lorraine Hernandez 0.556341 Hastings D 0.545581 Salud Pública 0.538137 Sherrie Wise 0.581916 Lee Rosenthal 0.557293 My Community 0.547844 proyecto heart 0.915262 Chronic Dis 0.561795 My Heart 0.606243	CLICK HERE
9860	Centers for Disease Control and Prevention	Html	en	Global Water, Sanitation, and Hygiene Epidemiology Team - Waterborne Disease Prevention Branch - DFWED - NCEZID	Division of Foodborne, Waterborne, and Environmental Diseases homepage (DFWED). DFWED is part of the National Center for Emerging and Zoonotic Infectious Diseases.	field research 0.750455 Conducts laboratory 0.743617 waterborne diseases 0.876815 CDC’s National 0.813904 teaching healthy behaviors 0.87276 typhoid fever 0.743938 safe water 0.998512 Global Immunization Division 0.883669 household water treatment 0.908687 water-related disease 0.806123 international partners 0.744 global water 0.917074 AIDS Relief 0.744967 CDC programs 0.794126 soil-transmitted helminths 0.764955 hygiene 0.848759 Zoonotic Infectious Diseases 0.943064 Emergency Plan 0.751336 behavior change strategies 0.871873 World Health Organization 0.881685 outbreak response 0.743307 endemic disease 0.756632 Epidemiology Team 0.775788 social entrepreneurs 0.749507 Global Enterics Multi-Center 0.901141	adequate sanitation 0.896864 faith-based programs 0.778208 HIV/AIDS programs 0.771205 model programs 0.7628 health benefits 0.765568 disease prevention programs 0.901114 community health promotion 0.881868 WASH interventions 0.814341 scalable methods 0.747643 respiratory illness 0.745929 lead global epidemiology 0.963141 U.S. President 0.744549 global access 0.798526 health staff training 0.882261 social marketing 0.748107 antenatal care clinics 0.893502 WASH Away NTDs 0.846773 tropical diseases 0.74809 external partners 0.734833 safe water storage 0.923491 community-based programs 0.772961 complex international emergencies 0.897251 CDC-developed Safe Water 0.931246 community mobilization 0.756	CLICK HERE
10110	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Diabetes Interactive Atlas - CDC	The Diabetes Interactive Atlas is a recently released Web-based collection of maps that allows users to view geographic patterns and examine trends in diabetes and its risk factors over time across the United States and within states. The atlas provides maps, tables, graphs, and motion charts that depict national, state, and county data. Large amounts of data can be viewed in various ways simultaneously. In this article, we describe the design and technical issues for developing the atlas and provide an overview of the atlas’ maps and graphs. The Diabetes Interactive Atlas improves visualization of geographic patterns, highlights observation of trends, and demonstrates the concomitant geographic and temporal growth of diabetes and obesity.	indicator 0.233868 Diabetes Interactive Atlas 0.975846 time animation bar 0.511414 risk factors 0.489382 motion charts 0.737138 data 0.807236 maps 0.262028 United States 0.299147 age-adjusted diabetes prevalence 0.287959 default display 0.233254	county data 0.59378 National Diabetes Surveillance 0.236379 data classification 0.293211 Web pages 0.289936 geographic patterns 0.337112 county estimates 0.251707 natural breaks 0.282721 obesity prevalence 0.217983 user 0.211297	CLICK HERE
10665	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Cardiovascular Disease Risk Among the Mexican American Population in the Texas-Mexico Border Region, by Age and Length of Residence in United States - CDC	Although the relationship between health behaviors and outcomes such as smoking and obesity with longer residence in the United States among Mexican American immigrants is established, the relationship between length of residency in the United States and risk for cardiovascular disease (CVD) is not fully understood. The objective of this study was to determine the relationship between immigrant status, length of residence in the United States, age, and CVD markers in a sample of Mexican American adults living in Brownsville, Texas.	worse CVD risk 0.512246 higher prevalence 0.56979 young adult 0.542057 systolic blood pressure 0.546141 total cholesterol 0.491769 Texas–Mexico border region 0.569587 Texas Health Science 0.5072 US-born Mexican Americans 0.560923 high cholesterol 0.52689 diastolic blood pressure 0.546194 CVD risk 0.535153 CVD biological risk 0.51442 residence 0.558385 self-reported CVD events 0.522632 health behaviors 0.551964 blood pressure 0.667923 immigrant status 0.589396 Mexican Americans 0.671234 longer residence 0.505775 age groups 0.506981 CVD 0.608116 older age 0.547781 low socioeconomic status 0.49768 Mexican American adults 0.570923	study 0.525208 Public Health 0.493789 United States 0.958391 age group 0.542454 self-reported high blood 0.495629 low-density lipoprotein cholesterol 0.492743 CVD biomarker 0.547002 short-term immigrants 0.623084 Mexican American men 0.499542 risk factor profiles 0.49325 self-reported conditions 0.543832 CVD markers 0.541781 non-Hispanic whites 0.498778 long-term immigrants 0.591634 self-reported chronic conditions 0.554299 young adult group 0.497732 CVD biomarker profiles 0.508583 CVD biomarkers 0.569617 immigrant Mexican Americans 0.498605 Mexican American immigrants 0.666452 Hispanic immigrants 0.521818 Health Science Center 0.506396 high blood pressure 0.526092 socioeconomic status 0.576248	CLICK HERE
12565	Centers for Disease Control and Prevention	Video	en	CDC: Stephen's Story, Let's Stop HIV Together	In this digital story, Stephen discusses living with HIV, disclosing his status to his younger brother Joe, and how they are both working to address the stigma surrounding HIV. Let's Stop HIV Together is a national HIV awareness and anti-stigma campaign produced by the Centers for Disease Control and Prevention (CDC). It features stories of individuals living with HIV and the people who support them. Join the conversation on Facebook at www.facebook.com/ActAgainstAIDS. 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://streaming.cdc.gov/vod.php?id=045a87392e3b062d1779feecad0dd0cd20131202143316531	CDC 0.701155 YouTube 0.672781	Stephen 0.396148	CLICK HERE
12714	Centers for Disease Control and Prevention	Video	en	Dangerous Creatures – A Visit To The CDC Insectary	This video for young people ages 8 to 12, takes viewers to CDC's insectary, where they learn from CDC researchers about mosquitoes and malaria. See how mosquitoes are bred and used in tests to determine if they are becoming resistant to the insecticides used in nets and spray to prevent malaria. CDC's malaria expertise and global partnerships have helped save millions of children's lives. 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/CDCTV/DangerousCreatures/	CDC Insectary 0.954182 Dangerous Creatures 0.820425	visit 0.440679	CLICK HERE