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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
6143	Centers for Disease Control and Prevention	Html	en	Hospital Support for Breastfeeding - CDC Vital Signs	CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics.	hospitals 0.530956 American Academy 0.434192 Mortality Weekly Report 0.413008 breastfeeding rates 0.666091 maternity care policies 0.435587 Hospital Initiative 0.43071 federal hospitals 0.408929 Organization/UNICEF Baby-Friendly Hospital 0.43432 largest hospitals 0.407908 mothers 0.699745 Baby-Friendly hospitals 0.41004 Help mothers 0.469602 newborn infants 0.371957 hard time 0.369521 patient care teams 0.418812 Signs Issue details 0.413675 artificial nipples 0.366017 health care staff 0.533013 separate babies 0.406643 Low rates 0.367726 sure mothers 0.475198 lactation care 0.376692 Successful Breastfeeding 0.916039 support practices 0.376484	comienza al amamantar 0.413132 support breastfeeding 0.624371 Steps 0.367454 maternity care quality 0.4342 Help hospitals 0.413841 maternity care 0.510166 ovarian cancers 0.366126 babies 0.460668 hospital support 0.391346 mothers breastfeed 0.549601 Include lactation consultants 0.418411 clinic-based breastfeeding support 0.679158 infant death syndrome 0.423635 breastfeeding policy 0.6414 local hospitals 0.407768 counsel mothers 0.448097 breast milk 0.496167 Baby- Friendly Hospital 0.439401 support groups 0.374557 Track hospital policies 0.424684 Obesidad infantil 0.365832 overweight child 0.385436 childhood obesity 0.436678 maternity care practices 0.434636	CLICK HERE
6770	Centers for Disease Control and Prevention	Html	en	Global Health - South Africa - Why We're Here	CDC partners in South Africa with government and parastatal agencies, private institutions, universities and non-governmental organizations to improve the country’s public health foundation, to prevent transmission of HIV, to provide	country 0.2418 decade 0.248981 cure rate 0.443718 endorsement 0.261663 CDC 0.244667 Global Fund activities 0.619733 antiretroviral therapy 0.4675 PMTCT sites 0.437904 Content source 0.444293 HHS 0.266771 world 0.244536 Notice 0.242196 children 0.281142 provider 0.238409 sponsors 0.237428 heightening concern 0.450059 infections 0.246583 clinicians 0.246537 primary health facilities 0.626627 AIDS Council 0.425802 development 0.274153 main challenges 0.479718	AIDS-associated mortality 0.493052 sexual transmission 0.453654 TB screening 0.579874 testing 0.238316 concurrent epidemics 0.492748 adult HIV prevalence 0.807263 infected adults 0.515423 highest numbers 0.479185 democracy 0.243146 population 0.238651 HIV counseling 0.562389 post-apartheid South Africa 0.773338 non-federal site 0.465366 treatment default rates 0.659068 young adults 0.437343 South Africa 0.944958 drug-resistant TB 0.641011 National Strategic Plan 0.614713 integrated HIV 0.555735 South African National 0.622832 employees 0.237485 HIV-infected patients 0.471891	CLICK HERE
6833	Centers for Disease Control and Prevention	Html	en	Meningococcal - Signs and Symptoms	meningococcal infection is characterized by a sudden onset of fever, headache, and stiff neck. It is often accompanied by other symptoms	fever 0.244067 bloodstream infection 0.438892 Page 0.278331 babies 0.305492 protective membranes 0.427274 matter 0.245227 additional symptoms 0.412215 common types 0.405573 meningococcal septicemia 0.810244 Newborns 0.251438 reflexes 0.25622 signs 0.240152 young children 0.409537 bacteria Neisseria 0.493747 spinal cord 0.425093	meningococcal infections 0.656716 Seek medical attention 0.652661 flu-like illness 0.473168 vomiting 0.254309 organs 0.242503 blood vessels 0.396653 brain 0.242652 meningococcal meningitis 0.924856 common symptoms 0.401694 symptoms 0.633247 classic symptoms 0.398691 doctor 0.275828 meningococcal disease 0.898248 doctors 0.349132 neck stiffness 0.4303	CLICK HERE
6860	Centers for Disease Control and Prevention	Html	en	Caterpillar-Associated Rashes in Children - Hillsborough County, Florida, 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.	affected staff member 0.468416 child care centers 0.540369 facilities experiencing outbreaks 0.485057 local child care 0.497286 children 0.559465 direct contact 0.475447 HCHD 0.501401 contact 0.521037 rash illness outbreaks 0.634036 papular rash 0.547653 tussock moth caterpillars 0.711632 HCHD epidemiology department 0.497808 rash outbreaks 0.727701 stinging caterpillars 0.515523 tussock moth larva/caterpillar 0.509043 caterpillar infestation 0.497205 HCHD epidemiology program 0.49557 saddleback caterpillar 0.480643 local elementary school 0.479409 rash illnesses 0.629202 viral rash 0.592654 elementary school 0.533929 Hillsborough County 0.567665 tussock moth caterpillar 0.786912 rash illness 0.708073	pruritic rashes 0.475132 Hillsborough County Health 0.482822 child care facilities 0.565398 local news media 0.473148 white-marked tussock moth 0.927683 contact dermatitis 0.505637 child care facility 0.680329 health-care providers 0.541212 child care 0.8884 io moth caterpillar 0.523155 Douglas-fir tussock moth 0.507922 physical contact 0.471204 rash illness cluster 0.589558 caterpillar-associated rash outbreaks 0.680881 pruritic rash outbreaks 0.608002 caterpillar species 0.482081 caterpillar exposure 0.534802 affected children 0.478022 Multiple rash illness 0.564706 staff members 0.468984 nonspecific viral rash 0.571291 mild pruritic rash 0.709238 child care licensing 0.486579 affected elementary school 0.473149	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
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