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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
4717	Centers for Disease Control and Prevention	Html	en	CDC - Chagas Disease - Treatment	Education and information about Chagas Disease treatment.	United States Blood 0.649 health care provider 0.6642 Vector-borne Transmission 0.551892 navigation Skip 0.489795 United States Trypanosoma 0.685807 Evidence 0.343037 cruzi Infection Study 0.747181 CDC staff 0.405102 list Skip 0.491084 congenital infection 0.475879 page options Skip 0.588785 patients 0.358895	infectious disease specialist 0.486323 Parasite 0.353864 primary health care 0.486495 Trypanosoma cruzi Infection 0.780486 suppressed immune systems 0.510953 States Blood Donors 0.675207 Congenital Transmission 0.541902 chagas disease 0.903069 chronic infection 0.452674 acute phase 0.41201 treatment options 0.394073 gastroenterologist 0.331872	CLICK HERE
5479	Centers for Disease Control and Prevention	Html	en	Ethylene glycol - 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
6174	Centers for Disease Control and Prevention	Html	en	Highlights: Emerging Infectious Diseases, Vol. 17, No. 9, (September 2011)	EID News Synopsis: September 2011	Health Surveillance Center 0.460879 Lyme disease 0.942869 Haemophilus influenzae type 0.487539 healthy immune systems 0.478569 Lyme disease prevention 0.582528 CDC study 0.460206 respiratory disease 0.420108 immune systems 0.567688 Ms. Judith L. 0.455859 tattoo infections 0.484227 Meagan K. Kay 0.474871 University Medical Center 0.460337 U.S. military instructs 0.481153 fewer ticks 0.490278 malarious home lands 0.459582 blood testing 0.405158 Dr. Dania Richter 0.471386 Institut für Pathologie 0.471157 high risk 0.408176 Infectious Diseases 0.58815 Charité Universitätsmedizin Berlin 0.470863 CDC Media Relations 0.523361 fresh outdoor air 0.463154 Lyme disease risk 0.796251 newly reported infections 0.499101	invasive disease 0.412564 malaria risk 0.453047 tattoo infection 0.415149 prevention efforts 0.480632 Matthew P. Rubach 0.607982 Haemophilus influenzae 0.498182 public health journal 0.510016 Mycobacterium haemophilum 0.478346 military members 0.66493 independent measures 0.405927 current military members 0.47993 malaria protection 0.433848 Lyme disease bacteria 0.571422 fungal disease 0.438453 Dr. Paul Mead 0.477882 protective measures 0.467648 U.S. military members 0.616053 Lyme disease emergence 0.581066 p.m. EDT 0.415422 fungal infections 0.541342 Contact 0.419471 West Africa 0.521406 Haemophilus influenzae infection 0.494406 John W. Baddley 0.471357	CLICK HERE
7418	Centers for Disease Control and Prevention	Html	en	National Center for Environmental Health - About the Program	NCEH provides leadership to promote health & quality of life by preventing or controlling those diseases or disabilities resulting from interaction between people and the environment. Site has information/education resources on a broad range of topics, including asthma, birth defects, radiation, sanitation, lead in blood, and more.	emergency department management 0.569361 asthma quality measures 0.608265 state grantees 0.519231 emergency department visits 0.703486 emergency involving radiation 0.551193 Climate Ready States 0.560549 state partners 0.518379 Funding state programs 0.593343 Health Studies Branch 0.604279 present surveillance data 0.578057 national data sources 0.593863 man-made disasters 0.577326 human behavior 0.562028 public health consequences 0.615779 airborne environmental agents 0.612913 public’s health 0.548034 human health effects 0.631869 Environmental Health 0.563643 multiple research activities 0.576295 environmental hazards 0.65205 integrated health 0.544398 National Asthma Control 0.626576 health care collaboration 0.624967 health effects 0.694272	EHHE 0.520861 harmful exposures 0.518493 environmental public health 0.800544 United States 0.658917 national radiologic emergency 0.578864 EHHE researches 0.518272 harmful environmental exposures 0.60525 major public health 0.617215 future health effects 0.62898 Public Health Tracking 0.63682 environmental conditions 0.534317 public health 0.915006 city health department 0.633396 current health study 0.610891 radiation-related health research 0.608727 poisoning prevention 0.516641 Tracking Network 0.634142 public health capacity 0.67273 emergency response drills 0.556393 state indoor air 0.592615 local capacity 0.564591 carbon monoxide poisoning 0.612418 national organizations 0.509141 state requests 0.517715	CLICK HERE
9352	Centers for Disease Control and Prevention	Html	es	El idioma de preferencia en encuesta como factor para predecir si los adultos hispanos en los Estados Unidos cumplen con las metas de consumo de frutas y verduras, Sistema de Vigilancia de Factores de Riesgo del Comportamiento, 2009	null	Grimm KA 0.352944 cribado rápido 0.337917 rápido crecimiento 0.341362 minoría étnica 0.346307	Estados Unidos 0.97241 Chronic Dis 0.349158 posibles disparidades 0.341024 hispano frente 0.342082	CLICK HERE
9743	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Improving Fruit and Vegetable Consumption Among Low-Income Customers at Farmers Markets: Philly Food Bucks, Philadelphia, Pennsylvania, 2011 - CDC	We evaluated whether Philly Food Bucks, a bonus incentive program at farmers markets, is associated with increased fruit and vegetable consumption and Supplemental Nutrition Assistance Program (SNAP) sales at farmers markets in low-income areas.	SNAP purchase 0.449561 farmers market 0.512066 farmers market access 0.446141 vegetable consumption 0.595783 Food Bucks intervention 0.470745 low-income neighborhoods 0.458682 Food Bucks redemptions 0.458398 market-level snap sales 0.47412 average philly food 0.480083 per-market SNAP sales 0.449112 Healthy Philly 0.456629 bonus incentive 0.573004 Food Bucks users 0.592951 Healthy Philly initiative 0.453874 Original SNAP purchases 0.449065 total annual SNAP 0.461308 farmers market staff 0.455019 Philly Food Bucks 0.958139 average SNAP sales 0.486839 Food Bucks redemption 0.492429 farmers market SNAP 0.478509 Bucks redemption data 0.455561 bonus incentive programs 0.523476 market SNAP sales 0.470017 non–Philly Food Bucks 0.475304	Food Bucks sales 0.469547 total Philly Food 0.46734 Food Bucks program 0.614415 low-income communities 0.475883 bonus incentive program 0.491745 Food Bucks participation 0.45531 Food Bucks distribution 0.469602 farmers markets 0.62551 new fruits 0.501871 SNAP sales 0.648227 annual SNAP sales 0.472751 Food Trust 0.44763 Food Bucks bonus 0.470189 pre–Philly Food Bucks 0.473533 Food Bucks data 0.46409 total SNAP sales 0.453753 farmers market customers 0.447216 SNAP purchases 0.467918 SNAP recipients 0.457217 Food Bucks period 0.478967 low-income areas 0.485561 Food Bucks implementation 0.459931 Food Bucks purchases 0.461876 market-level Philly Food 0.467048	CLICK HERE
10375	Centers for Disease Control and Prevention	Html	en	EIS Class Gifts	CDC Centers for Disease Control and Prevention David J. Sencer CDC Museum	incoming EIS Officers 0.602261 immune globulin 0.39581 multiple case households 0.411639 muscle testing 0.405027 skit guest stars 0.399508 leather epi work 0.382923 gamma globulin 0.423003 Health Odyssey Museum 0.379938 EIS Skit 0.595685 applied administrative epidemiology 0.377939 class skit 0.424909 rubella vaccine 0.424022 CDC director Tom 0.400519 Alexander D. Langmuir 0.39652 outgoing class 0.381208 field work 0.376702 EIS staff 0.532109 EIS officer 0.641223 public health 0.376066 EIS conference 0.559463 EIS joys 0.533792 Doug Hamilton 0.394608 class picture 0.387585 EIS class gift 0.632112	Dr. Brachman 0.397718 extensive field work 0.376204 Epidemic Intelligence Service 0.443349 USPHS Training Center 0.379459 measles control program 0.378219 EIS program 0.588113 funnier skit 0.378564 normal EIS class 0.6117 Philip S. Brachman 0.449537 Epidemiology Program 0.380157 CDC David J. 0.398945 inaugural class 0.397112 EIS 0.900515 eis class 0.696531 EIS skits 0.560069 contaminated polio vaccine 0.394318 eis chief 0.589825 subsequent class 0.396757 class plaques 0.396132 Phil Brachman 0.397232 Salk polio vaccine 0.377738 annual EIS skits 0.547752 class gifts 0.404674	CLICK HERE
11357	Centers for Disease Control and Prevention	Video	en	CDC Disease Detectives: LT. Kelsey Mirkovic	LT. Kelsey Mirkovic, a CDC disease detective, was deployed to Guéckédou, Guinea in response to the 2014 Ebola outbreak. She shares her experience visiting area villages, making contact with people, and how much she received.	CDC Disease Detectives 0.966152	LT. Kelsey Mirkovic 0.808153	CLICK HERE
11623	Centers for Disease Control and Prevention	Html	en	Estimating the Future Number of Cases in the Ebola Epidemic - Liberia and Sierra Leone, 2014-2015	Martin I. Meltzer, PhD1.	cases 0.906788 Table 0.213803 epidemic 0.21195 patients 0.543264 Sierra Leone 0.724099 community 0.216619 ebolaresponse modeling tool 0.605631 Ebola cases 0.268062	Figure 0.274322 home 0.20753 number 0.306265 Liberia 0.263632 onward transmission 0.229703 daily cases 0.229831 risk 0.347642 safe burial 0.35173	CLICK HERE
15527	Centers for Disease Control and Prevention	Html	en	2014-2015 Flu Season Drawing to a Close	2014-2015 Flu Season Drawing to a Close - CDC	U.S. influenza vaccine 0.652779 influenza antiviral agents 0.686327 2014-2015 influenza season 0.642743 flu activity 0.571223 influenza antiviral medications 0.624022 States influenza season 0.650488 season 0.861964 influenza B flu 0.649719 2014-15 flu vaccine 0.581959 influenza activity 0.646266 FDA-approved influenza 0.574117 H3N2 viruses 0.513606 overall hospitalization rate 0.531321 age groups 0.517956 H3N2 dominant season 0.544699 vaccine effectiveness 0.531545 ILI activity 0.526291 relatively long duration 0.518511 flu-associated pediatric deaths 0.545695 influenza diagnoses 0.590139 second-highest hospitalization rate 0.533986 influenza-associated pediatric mortality 0.512071 influenza 0.94492 hospitalization rate 0.622409	United States 0.633227 age group 0.650264 Weekly U.S. Influenza 0.621302 flu-related deaths 0.546522 season influenza 0.624799 uncomplicated influenza infection 0.615229 highest hospitalization rates 0.535264 Hemisphere flu season 0.574028 total number 0.509752 influenza B activity 0.599357 seasonal influenza vaccine 0.650101 extremely high hospitalization 0.534327 intravenous antiviral drug 0.504209 influenza season 0.659715 influenza vaccines 0.578889 monitors flu-related deaths 0.538848 flu viruses 0.570527 flu vaccine viruses 0.627587 influenza-associated pediatric deaths 0.541939 highest recorded hospitalization 0.531331 influenza viruses 0.671333 pediatric deaths 0.81056 hospitalization rates 0.581809 flu season 0.675801	CLICK HERE