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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
753	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Clustering of Risk Factors With Smoking Habits Among Adults, Sousse, Tunisia - CDC	In Tunisia, few studies have assessed the association between tobacco use and other lifestyle risk factors for chronic disease (eg, unhealthy diet, physical inactivity). We studied 1,880 adults to determine the association between tobacco use and other lifestyle risk factors in Tunisia.	risk factors 0.50204 study 0.219969 World Health Organization 0.246157 disease risk factors 0.47772 French smokers 0.230211 health 0.281608 daily smokers 0.2514 smokers 0.924563 female smokers 0.228426 lifestyle risk factors 0.374117 alcohol consumption 0.207769	physical activity 0.738305 significant difference 0.236163 chronic disease risk 0.548361 current smokers 0.441839 nonsmokers 0.423424 male nonsmokers 0.214095 smoking 0.351716 smoking status 0.21669 male smokers 0.42697 tobacco 0.333335 mean age 0.20343	CLICK HERE
4483	Centers for Disease Control and Prevention	Html	en	CDC A-Z Index - X	CDC A-Z Index	MPEG 0.741242 site 0.541063 PDF 0.544429	PPT 0.837268 DOC 0.733754	CLICK HERE
5466	Centers for Disease Control and Prevention	Html	en	Propargyl alcohol - 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
5837	Centers for Disease Control and Prevention	Html	en	Nitrogen dioxide - 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
6884	Centers for Disease Control and Prevention	Html	en	Reports of Human Infections with Swine Origin Influenza A (H3N2)	Reports of Human Infections with Swine Origin Influenza A (H3N2).	type A influenza 0.359862 swine influenza virus 0.491683 regularly causes outbreaks 0.297216 CDC 0.263547 United States 0.362954 avian influenza viruses 0.518661 swine influenza 0.947433 Test samples 0.260225 main influenza type 0.400235 infected pigs 0.311918 North America 0.284833 infected animals 0.283969 swine-origin influenza viruses 0.518366 pigs 0.41759 pork products 0.291162 isolated cases 0.256412 Weekly U.S. surveillance 0.287206 novel influenza viruses 0.507069 total number 0.252899 local health partners 0.289007 exhibits housing pigs 0.355885 pig barns 0.256466 infect humans 0.257401	animal influenza viruses 0.493214 cases 0.282406 patients 0.253534 Wisconsin cases 0.254383 influenza viruses—viruses 0.382497 flu viruses 0.40069 flu website 0.263478 close proximity 0.256698 human seasonal influenza 0.394967 low death rates 0.296201 influenza testing capacity 0.390517 human infections 0.35495 live pigs 0.34221 Ongoing investigations 0.253408 genetic differences 0.25404 influenza viruses 0.838573 Swine flu 0.374271 late 1990s 0.283448 flu season 0.263114 public health laboratories 0.287119 American swine herds 0.385304 human infection 0.467046 humans 0.279161	CLICK HERE
8846	Centers for Disease Control and Prevention	Html	en	Vital Signs: Listeria Illnesses, Deaths, and Outbreaks -United States, 2009-2011	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.	U.S. listeriosis incidence 0.630214 Listeria Initiative participation 0.575792 normally sterile site 0.62973 invasive Listeria monocytogenes 0.634611 Foodborne Pathog Dis 0.581871 territorial health departments 0.556487 soft cheese 0.567674 average annual incidence 0.583148 invasive listeriosis 0.677314 pregnant women 0.745216 food safety gaps 0.599735 Listeria Initiative data 0.594504 Listeria Initiative 0.927176 foodborne disease outbreaks 0.582612 foodborne disease outbreak 0.74996 soft cheeses 0.645294 Listeria monocytogenes contamination 0.622593 fetal losses 0.572973 pregnant Hispanic women 0.572346 Foodborne Diseases Active 0.614684 Disease Outbreak Surveillance 0.640626 L. monocytogenes 0.639172 foodborne illness 0.569209 listeriosis 0.924571 pregnancy-associated cases 0.633316	listeriosis identifies 0.591569 outbreaks 0.665123 listeriosis incidence 0.641887 listeriosis outbreak 0.712657 raw produce 0.56592 outbreak investigations 0.643295 laboratory-confirmed listeriosis 0.588092 Listeria contamination 0.563624 listeriosis outbreak vehicles 0.664365 public health 0.574933 higher risk 0.657262 invasive listeriosis cases 0.657461 cases 0.712005 Mexican-style cheese 0.601746 listeriosis outbreaks 0.626604 food vehicle 0.552324 unpasteurized milk 0.608509 listeriosis cases 0.677102 Older adults 0.577496 listeriosis prevention 0.570172 food safety 0.79341 Large listeriosis outbreak 0.646387 Diseases Active Surveillance 0.589231 Listeria monocytogenes infection 0.782607	CLICK HERE
8956	Centers for Disease Control and Prevention	Html	en	Publications by Topic - Public Health Law	null	MPEG 0.741242 site 0.541063 PDF 0.544429	PPT 0.837268 DOC 0.733754	CLICK HERE
12497	Centers for Disease Control and Prevention	Video	en	February 2014 ACIP Meeting -- Meningococcal Vaccines	Introduction, Meningococcal Disease Among Men Who Have Sex with Men (MSM), Meningococcal Disease and Vaccine Response In HIV-Infected Persons, Outbreaks of Serogroup B Meningococcal Disease on University Campuses -- 2013, and Public Comment. 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=1f7ffe41dd06b90178845f30a145269f20140410082411060	Meningococcal Vaccines 0.933407	ACIP Meeting 0.777255	CLICK HERE
12957	Centers for Disease Control and Prevention	Html	en	Bacterial Enteric Infections Detected by Culture-IndependentDiagnostic Tests - FoodNet, United States, 2012-2014	Martha Iwamoto, MD1, Jennifer Y. Huang, MPH1, Alicia B. Cronquist, MPH2, Carlota Medus, PhD3, Sharon Hurd, MPH4, Shelley Zansky, PhD5, John Dunn, DVM6, Amy M.	negative culture 0.284687 Shiga toxin 0.342127 commercial antigen-based tests 0.483542 stool specimens 0.297489 clinical diagnostic testing 0.292019 positive CIDT reports 0.943886 surveillance catchment area 0.289592 enteric pathogens 0.353248 public health surveillance 0.471808 support public health 0.283375 STEC 0.313486 Enteric Diseases Laboratory 0.285053 commercial DNA-based syndrome 0.527114 clinical culture 0.282949 clinical laboratory 0.304818 surveillance data 0.286622 bacterial enteric diseases 0.285122 enhanced surveillance methods 0.296736 Foodborne Diseases Active 0.327493 clinical laboratories 0.706956 public health laboratory.§ 0.290182 FoodNet sites 0.290327 enhance surveillance methods 0.284537 public health laboratories 0.506274 culture-independent diagnostic tests 0.3308	bacterial enteric infections 0.363284 foodnet surveillance 0.387375 single clinical laboratory 0.291647 bacterial enteric pathogens 0.341204 CIDT methods 0.28653 bacterial enteric pathogen 0.295479 clinical laboratory practices 0.284809 specific public health 0.283306 FoodNet Clinical Laboratories 0.358791 culture-confirmed infections 0.347957 DNA-based syndrome panels 0.531123 public health 0.726729 Campylobacter 0.350106 surveillance area populations 0.285985 FoodNet surveillance area 0.381118 STEC infections 0.297132 positive CIDT result 0.286408 health surveillance programs 0.293865 CIDTs 0.407538 culture 0.461328 Diseases Active Surveillance 0.344429 positive CIDT report 0.337094 Active Surveillance Network 0.34374 public health laboratory 0.329275	CLICK HERE
15945	Centers for Disease Control and Prevention	Html	en	Real-Time Monitoring of Vaccination Campaign PerformanceUsing Mobile Phones - Nepal, 2016 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	supplementary immunization activities 0.718761 SIA administrative coverage 0.670274 data 0.763443 vaccination campaigns 0.687667 mobile phones 0.833936 Global Positioning 0.672236 RCM mechanism 0.648463 service delivery coverage 0.626003 Mobile data collection 0.642047 RCM-MP 0.669978 district supervisors 0.711528 World Health Organization 0.841476 rapid convenience monitoring 0.810884 Measles elimination strategies 0.643138 immunization service delivery 0.693139 SIA 0.744974 mobile networks 0.626576 real-time data visualization 0.631102 RCM results 0.68033 public health practice 0.633659 SIA coverage 0.720774 nationwide catch-up SIA 0.649913 high risk 0.663333 rubella elimination worldwide 0.624909 monitors 0.68375	national supervisors 0.944621 paper-based RCM 0.927606 corrective vaccination activities 0.754097 overall SIA performance 0.660299 mass vaccination campaigns 0.654506 measles-rubella vaccination campaign 0.755586 unvaccinated children 0.715482 electronic data collection 0.63724 phone screen size 0.723002 public health 0.635001 small phone screen 0.723011 mop-up vaccination activities 0.739136 SIA quality 0.66763 out-of-house RCM form§§ 0.708011 data collection forms 0.635097 Future RCM implementation 0.699539 faster data transmission 0.727305 Electronic data visualization 0.631222 data collection 0.665009 SIA implementation performance 0.665653 nationwide measles-rubella vaccination 0.644494 paper reporting systems 0.625449 follow-up sias 0.639595 paper-based RCM data 0.739213	CLICK HERE