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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
5951	Centers for Disease Control and Prevention	Html	en	Ethyl chloride - 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
6745	Centers for Disease Control and Prevention	Html	en	Global Health - Mali	CDC global health programs in Mali.	Ebola epidemic 0.71318 integrate comprehensive lab 0.889281 STI treatment 0.646722 endorsement 0.385354 surveys 0.350088 CDC office 0.775803 malaria 0.381587 STIs 0.419485 tools 0.350559 Content source 0.587848 conduct surveillance 0.622622 HHS 0.392358 government 0.401852 sexually transmitted infections 0.99488 Notice 0.35864 Mali 0.388722 studies 0.349979	information systems 0.611438 multiple countries 0.596123 deaths 0.364603 Latest Outbreak 0.641654 World Health Organization 0.828762 cases 0.346555 epidemic…read 0.346926 PDF Version 0.616466 public health emergencies 0.895848 lab quality control 0.869639 tropical diseases 0.641204 services 0.350922 history 0.347734 Worldwide 0.346867 non-federal site 0.636879 HIV 0.36371 partners 0.397886	CLICK HERE
8992	Centers for Disease Control and Prevention	Video	en	CDC: Tips from Former Smokers - James: "I Can't Be Diabetic and Smoke Too"	When James was told he had diabetes, he knew he had to stop smoking in order to better manage his health. His healthcare provider told him that he needed to exercise more, and he found that smoking cigarettes made exercising difficult. For James, this became an important reason to quit smoking for good. This video is part of CDC's campaign, "Tips From Former Smokers." 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=c9cab55552ffd1428a953f0b59048ad420121108085950161	Smokers 0.90068 CDC 0.88464 James 0.549727	Diabetic 0.85866 Smoke 0.784147 YouTube 0.84273	CLICK HERE
9612	Centers for Disease Control and Prevention	Html	en	Asthma - BRFSS 2008 - Child Asthma Data - Technical Information	BRFSS 2008 - Child Asthma Data - Technical Information	Child asthma prevalence 0.556421 Research Triangle Institute 0.394125 normal distribution approximation 0.393185 Information Processing Standard 0.397768 randomly selected adult 0.413955 Prevalence Numbers 0.411022 multiple questionnaire version 0.403252 Random Child Selection 0.923056 Selection optional module 0.422139 BRFSS survey 0.372021 Small Sample Size 0.393007 standard error estimates 0.413636 Lifetime asthma 0.414001 Thirty-nine states 0.3684 standard error 0.497045 subgroup tables 0.399155 prevalence value 0.407951 version specific datasets 0.395925 Question number 0.395215 available text size 0.417063 Research Triangle Park 0.394071 pleasing results 0.363742 portrait orientation 0.360985 PDF files 0.364078 Asthma optional modules 0.859679	Current asthma 0.414565 callable SUDAAN Release 0.398497 child asthma questions 0.493404 Survey Questions 0.362003 prevalence estimates 0.422802 ADA assisted technology 0.409568 states 0.379918 sample states 0.36615 prevalence estimate 0.408952 BRFSS Random Child 0.582317 Childhood Asthma Prevalence 0.539481 (sep) 0.394579 50 states 0.369131 PDF format 0.364262 lower limit 0.389654 prevalence percent 0.408667 questionnaire version 0.405957 BRFSS User 0.368725 non-institutionalized civilian adults 0.410715 HTML-formatted tables 0.372837 Codes Used 0.363154 Childhood Asthma 0.67136 calculated standard error 0.407732 confidence interval 0.452747	CLICK HERE
9764	Centers for Disease Control and Prevention	Html	en	Influenza Vaccination Among Pregnant Women - Massachusetts,2009-2010	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.	Massachusetts PRAMS survey 0.293033 federal poverty level 0.48015 seasonal vaccine 0.953506 pH1N1 influenza vaccine 0.488584 influenza vaccination coverage 0.440357 novel influenza 0.271306 Human Services 0.257353 influenza vaccination acceptance 0.404472 complex survey design 0.425789 pH1N1 vaccination 0.29884 Medicaid beneficiaries 0.40123 Massachusetts Pregnancy Risk 0.276021 pH1N1 vaccine availability 0.393035 vaccination coverage 0.549757 Pregnancy Risk Assessment 0.349444 vaccination coverage rates 0.328219 pregnant women 0.833566 pH1N1 influenza shot 0.344909 Massachusetts 0.450369 routine seasonal vaccine 0.420442 weighted survey response 0.251871 Seasonal coverage 0.279758 vaccination rates 0.444673 Massachusetts residents 0.250692	seasonal influenza vaccine 0.525169 public health 0.370915 non-Hispanic Asian women 0.326107 influenza vaccine 0.577387 influenza season 0.618022 pH1N1 vaccine 0.994616 non-hispanic black women 0.537419 seasonal vaccine coverage 0.430241 provider recommendation 0.280474 vaccine education 0.380095 annual seasonal vaccine 0.473295 safety concerns 0.339662 influenza vaccination 0.574725 supplemental influenza questions 0.3296 household income 0.386951 Massachusetts General Hospital 0.250708 flu shot 0.336823 seasonal flu shot 0.285678 live births 0.563344 public health response 0.25595 lower income women 0.282336 pH1N1 coverage 0.266263 Risk Assessment Monitoring 0.349432	CLICK HERE
9968	Centers for Disease Control and Prevention	Html	en	Prepare Your Car for Winter Weather	Taking preventive action is your best defense against having to deal with extreme cold-weather conditions. By preparing your home and car in advance for winter emergencies, and by observing safety precautions during times of extremely cold weather, you can reduce the risk of weather-related health problems.	temperatures 0.458116 winter storms 0.788413 stages 0.371516	challenge 0.397336 winter storm 0.722421	CLICK HERE
10841	Centers for Disease Control and Prevention	Html	en	MERS-About People at Increased Risk	CDC Coronavirus: Coronaviruses are common throughout the world. They can infect people and animals. Five different coronaviruses can infect people and make them sick. They usually cause mild to moderate upper-respiratory illness.	Arabian Peninsula** 0.537415 Interim U.S. Guidance 0.507979 ill person 0.550369 higher index 0.415837 Interim Infection Prevention 0.741067 general hygiene measures 0.505392 longer exposure time 0.52502 recent travel 0.43658 Respiratory Syndrome Coronavirus 0.546972 recent contact 0.459291 MERS case 0.644882 public health authorities 0.513445 direct contact 0.430738 confirmed MERS-CoV infections 0.586817 undercooked animal products 0.517565 Control Recommendations 0.511592 World Health Organization 0.931692 personal protective equipment 0.864239 general precaution 0.423273 symptoms 0.463488 additional precautions 0.428873 high risk 0.418215 sick animals 0.414542 airborne precautions 0.43767	East Respiratory Syndrome 0.734574 ***Close contact 0.43227 healthcare personnel 0.651184 respiratory illness 0.647921 chronic lung disease 0.501761 Potential Middle East 0.504068 Hospitalized Patients 0.531628 regular handwashing 0.418196 infection control precautions 0.768924 state health department 0.541726 clinical symptoms 0.418305 severe MERS 0.535644 Middle East Respiratory 0.734629 MERS patients 0.560539 outline additional recommendations 0.520097 United Arab Emirates 0.499411 possible exposure 0.460073 close contact*** 0.696613 infection control measures 0.564767 symptomatic close contacts 0.546491 likely increases 0.490838 camel products 0.414608 healthcare provider 0.957253 healthcare settings 0.435913	CLICK HERE
11450	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Buying Food on Sale: A Mixed Methods Study With Shoppers at an Urban Supermarket, Philadelphia, Pennsylvania, 2010"2012 - CDC	The obesity epidemic has drawn attention to food marketing practices that may increase the likelihood of caloric overconsumption and weight gain. We explored the associations of discounted prices on supermarket purchases of selected high-calorie foods (HCF) and more healthful, low-calorie foods (LCF) by a demographic group at high risk of obesity.	low-calorie foods 0.522734 foods 0.615144 food price effects 0.554858 Supplemental Nutrition 0.525383 sale price 0.523342 food marketing practices 0.558399 robust standard errors 0.516279 Focus group data 0.538953 price 0.641298 shoppers 0.585696 Supplemental Nutrition Assistance 0.517011 food purchases 0.534977 effects logistic regression 0.519921 savory snacks 0.544583 purchases 0.582727 food category 0.541766 food purchase data 0.563716 HCF 0.639724 price reductions 0.629061 demographically similar shoppers 0.519952 LCF 0.569572 high-calorie foods 0.546235 supermarket purchase data 0.546494 food prices 0.606764 study 0.617071	excess weight gain 0.518158 American female shoppers 0.52495 low-fat dairy products 0.61307 sweet snacks 0.582824 qualitative data 0.549451 grain-based snacks 0.545639 focus groups 0.578608 price discounts 0.530496 Nutrition Assistance Program 0.520434 public health 0.653394 sale prices 0.535151 focus group questions 0.533678 sale versus 0.535982 focus group participants 0.66866 food 0.709119 purchase data 0.814614 sale 0.739472 advertised price reductions 0.516272 Einstein Healthcare Network 0.588344 focus group 0.918415 food purchase transactions 0.534118 healthful foods 0.526036 verbatim focus group 0.520248 study store 0.517399	CLICK HERE
13562	Centers for Disease Control and Prevention	Html	en	Lack of Healthy Food in Small-Size to Mid-Size Retailers Participating in the Supplemental Nutrition Assistance Program, Minneapolis–St. Paul, Minnesota, 2014	Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention.	food stores 0.699162 healthy food choices 0.57816 Supplemental Nutrition 0.789727 Supplemental Nutrition Program 0.740202 WIC food package 0.53745 mid-size food stores 0.644193 eligible stores 0.527885 small stores 0.609086 urban corner stores 0.540484 Prev Med 0.538995 healthy food 0.747181 Supplemental Nutrition Assistance 0.669254 SNAP-participating stores 0.524865 corner stores 0.634578 Special Supplemental Nutrition 0.743138 specialty stores 0.541208 SNAP program 0.532995 quality scores 0.555111 whole-grain–rich products 0.528952 additional SNAP benefits 0.524489 healthy foods 0.961677 healthy food access 0.58999 convenience stores 0.661882 fewer SNAP clients 0.525788	smaller stores 0.576773 Stores tool 0.532109 SNAP policy change 0.589275 SNAP minimum stocking 0.528977 small food stores 0.68856 Public Health Nutr 0.63248 Nutrition Assistance Program 0.672299 SNAP participants 0.62615 incomplete SNAP data 0.54425 healthy SNAP purchasing 0.61208 stores 0.872414 St. Paul 0.533353 whole-grain–rich foods 0.551612 fewer stores 0.531595 SNAP 0.667338 dollar stores 0.561489 Philadelphia corner stores 0.540973 brown rice 0.563643 dark green vegetables 0.595405 healthy food availability 0.697196 minimum stocking standards 0.548615 SNAP benefits 0.553817 et al 0.543739 liquor stores 0.528133	CLICK HERE
13986	Centers for Disease Control and Prevention	Html	en	ACIP Vaccine-Specific Recommendations	List of all ACIP Vaccine-Specific Recommendations. Advisory Committee on Immunization Practices (ACIP)	MPEG 0.276361 PDF 0.201634 PPT 0.326381	email address 0.716575 DOC 0.270026 different file formats 0.90859	CLICK HERE