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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
1245	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Update: Vitamin B12 Deficiency AmongBhutanese Refugees Resettling in the United States, 2012	Kendra Cuffe, MPH1, William Stauffer, MD2, John Painter, DVM1, Sharmila Shetty, MD1, Jessica Montour, MPH3, Weigong Zhou, MD, PhD1 (Author affiliations at end of text).	medical screening 0.571889 high rates 0.581771 CDC 0.583775 William Stauffer 0.588853 deficiency post-implementation 0.598905 newly arrived refugees 0.723222 median serum concentration 0.822712 Minnesota Medical School 0.625116 Zoonotic Infectious Diseases 0.625056 routine medical examinations 0.652077 Jessica Montour 0.588487 normal range 0.570475 National Center 0.569955 improved availability 0.577164 median age 0.588966 select domestic refugee 0.647853 serum samples 0.642899 John Painter 0.586468 Nutrition surveys 0.5746 nutritional counseling 0.572769 oral vitamin 0.761797 Sharmila Shetty 0.592736 serum concentrations 0.863603 new cases 0.576018 deficiency rate 0.601387	United States 0.668295 Kendra Cuffe 0.660208 domestic refugee health 0.767456 pg/mL 0.59704 red meat 0.574262 improved food supply 0.63329 dietary practices 0.576377 Austin-Travis County clinic 0.642645 neurologic disorders 0.586374 serum concentration levels 0.685761 improved access 0.577829 nutrition advice 0.639744 rich foods 0.570164 previously recommended interventions 0.63796 Author affiliations 0.582574 anecdotal reports 0.579702 refugee health programs 0.767409 serum concentration pre-intervention 0.689405 deficiency 0.631033 3Refugee Health Program 0.627208 refugee camps 0.571548 Bhutanese refugees 0.986718 Weigong Zhou 0.58733 deficient pre-intervention 0.593435	CLICK HERE
5139	Centers for Disease Control and Prevention	Html	en	Colorado Activities to Prevent HAIs	null	Data Validation 0.648733 Activities 0.374366 list Skip 0.646884 monthly update 0.644037 Injection Safety 0.643238 Program 0.328488 Provide Infection Prevention 0.6241 page options Skip 0.806043 email address 0.61844	Infection Control Assessment 0.653198 Health Department Capacity 0.591502 Control Assistance 0.450769 Hemodialysis BSI 0.750501 Affordable Care Act 0.597685 navigation Skip 0.64722 recent work 0.621083 infectious disease 0.646957 HAI Prevention Infrastructure 0.976561	CLICK HERE
5956	Centers for Disease Control and Prevention	Html	en	Phenyl ether (vapor) - 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
6332	Centers for Disease Control and Prevention	Html	en	Depression, diabetes, and chronic disease risk factors among US women of reproductive age.	null	past diagnosis 0.345208 risk factors 0.782652 current minor depression 0.253063 mental health 0.200241 disease risk factors 0.422651 reproductive age 0.274282 depression status 0.357977 past depression diagnosis 0.243468	chronic conditions 0.604642 chronic disease risk 0.478946 chronic disease 0.604057 minor depression 0.459815 current depression 0.335059 depression 0.925897 current major depression 0.212198 major depression 0.385793	CLICK HERE
6370	Centers for Disease Control and Prevention	Html	en	MMWR News Summary: October 27, 2011	MMWR News Summary: October 27, 2011	site-related adverse reactions 0.541309 research facilities 0.434154 infection prevention lapses 0.708816 neurotoxin-producing species 0.428627 Pennsylvania Department 0.598267 study-specific safety protocols 0.541228 guinea worm 0.583945 botulinum toxin 0.593866 global dracunculiasis eradication 0.645857 skilled nursing facilities 0.582326 severe health-care–associated outbreaks 0.569726 South Sudan 0.809414 single cases 0.464826 skilled nursing facility 0.582182 invasive GAS infection 0.953733 botulinum toxoid 0.492786 GAS infection.  Long-term–care 0.590272 global dracunculiasis eradication. 0.641837 hand hygiene 0.442992 public health laboratories 0.540821 Laboratory workers 0.43385 HUMAN SERVICES 0.432853 endemic countries 0.590585 product potency 0.439671	endemic areas 0.466401 infection prevention measures 0.691655 dracunculiasis cases 0.546246 Worm Eradication Program 0.579243 invasive group 0.481385 Electronic Media 0.57458 pulmonary care 0.450698 potential protective benefit 0.528059 infection prevention programs 0.695394 lowest annual total 0.568543 tremendous progress 0.438281 U.S. DEPARTMENT 0.435167 ongoing outbreak. 0.432418 Dracunculus medinensis 0.464349 greatest threat 0.428446 noninvasive GAS infection 0.724389 invasive infection 0.60074 investigational PBT 0.498183 infection prevention 0.724644 World Health Assembly 0.571971 skilled nursing 0.599206 Christine Cronkright 0.484567 parasitic infection 0.555139 serologic correlate 0.4357	CLICK HERE
8838	Centers for Disease Control and Prevention	Html	en	Viral Hepatitis Outbreak Information - 2013 Outbreaks - May 31 Hep A	Multistate outbreak of hepatitis A virus infections linked to pomegranate seeds from Turkey	human illness 0.258442 Frozen Organic Pomegranate 0.825183 ‘Woodstock Frozen Organic 0.429933 household contact 0.246621 Harris Teeter 0.571945 particular outbreak 0.359436 frozen berry blend 0.411011 British Columbia 0.240598 Viral Hepatitis 0.645297 Illness onset dates 0.366603 epidemiological investigation 0.246739 fruit exposure 0.379053 Scenic Fruit Company 0.340268 hepatitis A linked 0.373044 pomegranate seeds 0.987104 Organic Antioxidant Blend 0.822304 Townsend Farms 0.570462 Costco markets 0.257001 Organic Pomegranate Kernels 0.807203 household contacts 0.24563 U. S. outbreak 0.421857 Foodstuffs Import Export 0.346665 ill people 0.657891 United States 0.388373 North Africa 0.241962	different product 0.259882 important cause 0.257872 Farms Organic Antioxidant 0.448971 Middle East 0.241862 clinical specimens 0.240051 CDC Viral Hepatitis 0.552161 likely vehicle 0.235433 frozen pomegranate arils 0.583141 virus contamination 0.338169 common shipment 0.240963 potential hepatitis 0.414869 virus infections 0.254071 product 0.268445 cases 0.260688 major outbreak strain 0.431269 Harris Teeter stores 0.396385 secondary cases 0.258252 New Jersey 0.356301 hepatitis A virus 0.865389 New Mexico 0.263915 epidemiological case study 0.355396 New Hampshire 0.478367 Woodstock Frozen Organic 0.394746 frozen Organic Antioxidant 0.430551	CLICK HERE
11580	Centers for Disease Control and Prevention	Html	en	NER - Peer-Reviewed Biomonitoring Articles | Environmental Phenols: Bisphenol A (BPA)	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
11949	Centers for Disease Control and Prevention	Html	en	Signos y síntomas | Enfermedad del Ébola	null	average 0.293902 exposure 0.292279 immune response 0.489463 People 0.240303	Ebola infection develop 0.925362 antibodies 0.29025 supportive clinical care 0.690135 Recovery 0.240921	CLICK HERE
12062	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Prevalence and Reasons for Initiating Use of Electronic Cigarettes Among Adults in Montana, 2013 - CDC	We used data from the 2013 Montana Adult Tobacco Survey to estimate the prevalence of electronic cigarette (e-cigarette) use and reasons for initiation among Montana adults. More than 1 in 10 (11.2%, 95% confidence interval [CI], 9.1%–13.2%) adults reported ever using e-cigarettes, and 1.3% (95% CI, 0.7%–1.9%) reported current use. Most respondents reported “trying something new” (64%) or “trying to quit or reduce cigarette use” (56%) as a reason for initiating use. Ongoing surveillance of these addictive products is needed.	older adult e-cigarette 0.682942 Montana adults 0.887587 electronic cigarette 0.939182 electronic cigarette users 0.758696 frequently reported reasons 0.756359 electronic cigarettes 0.745437 population-based telephone survey 0.686319 adult respondents 0.67433 Human Services 0.946114 Adult Tobacco Surveys 0.704112 landline telephone numbers 0.6755 cigarette smoking 0.770637 prevalence 0.696118 current cigarette smokers 0.845102 younger adult e-cigarette 0.687146 older e-cigarette users 0.678226 tobacco control programs 0.674496 Disease Control 0.729906 Youth Tobacco Survey 0.682242 cigarette sales 0.705886 Fewer respondents 0.653989 Adult Tobacco Survey 0.97302 cigarette consumption 0.683318 public health 0.886258	younger e-cigarette users 0.682341 Montana Adult Tobacco 0.846416 current e-cigarette users 0.714128 e-cigarette users 0.88901 health education strategies 0.654743 answered telephone calls 0.657966 prevention programs 0.660198 e-cigarettes 0.826186 Tob Control 0.657419 long-term health effects 0.651538 noninstitutionalized Montana adults 0.716127 tobacco products 0.682608 public health efforts 0.689384 Native e-cigarette users 0.687553 Nicotine Tob Res 0.655266 young adults 0.713782 Weighted prevalence estimates 0.688967 Public Health Service 0.65813 adult e-cigarette users 0.77379 Survey Research Organizations 0.664129 Electronic nicotine delivery 0.653136 cellular telephone respondents 0.73371 Montana Department 0.708679	CLICK HERE
15341	Centers for Disease Control and Prevention	Image	null	Clean It Up, Swimmers	null			CLICK HERE