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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
4714	Centers for Disease Control and Prevention	Html	en	CDC - Chagas Disease - Disease	Education and information about Chagas Disease.	asymptomatic form 0.561109 infection 0.626385 bite wound 0.531053 eyelid 0.352037 Chagas disease 0.976177 skin 0.33519 chronic phase 0.506151 acute chagas disease 0.924031 inoculation 0.35555 occurrence 0.335095 Photo courtesy 0.510679 Chagas-related symptoms 0.480507 chemotherapy 0.341376 life-threatening medical problems 0.625655 Romaña 0.340875 infected people 0.607599 immune systems 0.487666 severe inflammation 0.506068	mucous membrane 0.515843 heart muscle 0.490537 bug feces 0.540938 chronic indeterminate 0.504495 AIDS 0.333657 swelling 0.518199 brain 0.362417 blood 0.401152 eye 0.340101 site 0.335333 acute infection 0.602197 acute phase 0.543454 marker 0.346955 severe disease 0.482379 parasites 0.449061 WHO/TDR 0.364154 time 0.334624	CLICK HERE
6230	Centers for Disease Control and Prevention	Html	en	CDC national survey finds early childhood immunization rates increasing - Press Release: September 1, 2011	Latest State Data Show Rates of Obesity Remain High	CDC’s National 0.436849 pneumococcal disease 0.418487 recent increases 0.410414 long-standing recommended vaccines 0.72219 vaccine-preventable diseases. 0.55246 safest ways 0.450612 substantial disparities 0.429811 children 0.563742 ethnic groups 0.40503 young children 0.45546 rubella 0.25136 health care providers 0.592559 racial/ethnic groups 0.406204 National Immunization Survey 0.950745 recent outbreaks 0.419551 community groups 0.412586 vaccine requirements 0.415997 immunization rates 0.751175 Anne Schuchat 0.424655 Complete results 0.407884 HUMAN SERVICES 0.404511 mumps 0.247498 parents 0.315901 high levels 0.453425	severe harm 0.440661 percent 0.378268 vaccination coverage rates 0.619637 vaccination levels 0.422285 state programs 0.415594 national survey 0.405093 exemptions 0.250929 white children 0.425247 health services 0.404419 U.S. DEPARTMENT 0.409412 Disease Control 0.450914 Dr. Schuchat 0.412056 Hib 0.26138 households 0.246873 hepatitis 0.247847 Respiratory Diseases 0.440495 whooping cough 0.44036 vaccine coverage 0.432913 rotavirus 0.255435 report 0.33152 minority children 0.426827 NIS 0.249392 Haemophilus influenza type 0.635868 vaccine-preventable diseases 0.915241	CLICK HERE
6866	Centers for Disease Control and Prevention	Html	en	Playground Injuries: Fact Sheet	null	Government Printing Office 0.40155 14 and younger cost 0.459696 Injury Prevention 0.270845 daycare centers 0.292968 Low–Income Areas 0.2699 United States 0.458192 Technology Assessment 0.439976 Avner JR 0.280573 age group 0.27827 emergency department visits 0.422221 loose fill playground 0.340047 children ages 0.620359 home playgrounds 0.61829 high-income areas 0.295521 Tinsworth 0.350216 impact attenuation 0.277111 New York City 0.704409 rusty play equipment 0.415149 maintenance-related hazards 0.294344 Suecoff SA 0.259118 City Playground Hazards 0.479642 Phelan KJ 0.325214	Lanphear BP 0.265749 playground surface 0.366204 playground equipment 0.388673 playground injuries 0.664272 Kalkwarf HJ 0.272288 Sacks JJ 0.27656 Thompson D. Testing 0.405004 emergency departments 0.295067 Adolescent Medicine 0.265037 internal injuries 0.540151 U.S. Congress 0.258048 significantly more trash 0.274906 playground-related injuries 0.987782 United States children 0.404687 Mack MG 0.269969 low-income areas 0.437627 nonfatal injuries 0.555956 public playgrounds 0.644758 Ambulatory Pediatrics 0.280269 higher rates 0.273369 Chou KJ 0.301563	CLICK HERE
7477	Centers for Disease Control and Prevention	Html	en	Public Health Surveillance during a Disaster	The Health Studies Branch (HSB) provides expertise and leadership in epidemiology to local, state, federal and international partners to help them prepare for and respond to natural and man-made public health disasters. To do this, HSB conducts surveillance, rapid needs assessments, epidemiology studies, and provides training in disaster epidemiology to public health professionals.	potential disease outbreaks 0.552941 Disaster-Related Mortality Surveillance 0.722858 public health disaster 0.704537 Response webpage 0.473496 new toolkit 0.471403 death scene investigators 0.54691 death scenes 0.478844 weather-related event 0.486495 death scene 0.641329 Death Scene Investigation 0.54928 Natural Disasters 0.479041 action items 0.478742 public health surveillance 0.759967 mortality surveillance tools 0.635676 early detection 0.478791 potential problems 0.485035 disaster relatedness 0.620952 Mortality Surveillance Form 0.70136 disaster epidemiology training 0.668453 morbidity surveillance forms 0.61943 scientific consultation 0.471939 future disaster response 0.698662 literature review 0.524115 visit HSB 0.562273 specific needs 0.478792	download form 0.47357 human health impacts 0.571981 download forms 0.475637 refillable forms 0.484284 HSB Disaster Response 0.752871 training materials 0.477049 track disease 0.479447 disaster 0.900805 certain disasters 0.474727 adverse health effects 0.574029 HSB assistance 0.564917 death scene data 0.548595 injury trends 0.477041 natural disaster 0.676476 technical assistance 0.471343 systematic collection 0.484416 Disaster Surveillance Workgroup 0.877675 Weather-Related Events 0.483643 CDC Disaster Surveillance 0.749273 data collection 0.479284 CDC Health Studies 0.554236 Disaster Training 0.607595 Medicolegal Death Scene 0.549079 active surveillance 0.54646	CLICK HERE
9451	Centers for Disease Control and Prevention	Html	es	Mejora del rendimiento del sistema de salud pública por medio de asociaciones multiorganizacionales.	null	Scutchfield FD 0.359078 múltiples organizaciones 0.347442 salud pública 0.933435	Mays GP 0.360711 Estados Unidos 0.420296 altos costos 0.347513	CLICK HERE
9498	Centers for Disease Control and Prevention	Html	en	Multistate Outbreak of Listeriosis Associated with Jensen Farms Cantaloupe --- United States, August--September 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.	Outbreak Response 0.681111 Public Health 0.701204 outbreak strains 0.971602 listeriosis outbreak 0.84318 U.S. listeriosis outbreaks 0.767817 original MMWR paper 0.639921 U.S. Government Printing 0.634939 Human Services 0.633273 outbreak PFGE pattern 0.781596 specimen collection dates 0.639609 widely differing PFGE 0.636003 Jensen Farms 0.787111 MMWR HTML versions 0.641038 U.S. Department 0.63357 Tri-County Health Department 0.647413 MMWR Early Release 0.669871 PFGE pattern combination 0.657276 Barbara E. Mahon 0.628263 pregnant women 0.649644 foodborne bacterial disease 0.644775 electronic PDF version 0.628624 immune systems 0.648035 sporadic listeriosis 0.712506	Zoonotic Infectious Diseases 0.624061 cut cantaloupe samples 0.768726 Listeria Initiative data 0.652371 local health departments 0.634912 long incubation period 0.631336 Kelly A. Jackson 0.720744 County Public Health 0.646552 cases 0.621627 U.S. foodborne outbreak 0.763761 website (http://www.cdc.gov/mmwr). 0.670609 PFGE pattern combinations 0.775249 cantaloupe consumption 0.720917 Listeria monocytogenes 0.634007 Katherine A. O'Connor 0.626767 CORE) Network. 0.628391 impaired immune systems 0.642425 L. monocytogenes 0.757358 Listeria Initiative* questionnaire 0.655678 national molecular subtyping 0.642412 original paper copy 0.622687 older adults 0.643319 Invasive listeriosis 0.715085 pulsed-field gel electrophoresis 0.637864	CLICK HERE
11710	Centers for Disease Control and Prevention	Html	en	Alcohol Involvement in Opioid Pain Reliever andBenzodiazepine Drug Abuse-Related Emergency Department Visits andDrug-Related Deaths - United States, 2010	Christopher M. Jones, PharmD1, Leonard J. Paulozzi, MD2, Karin A.	DAWN ME data 0.547161 benzodiazepine deaths 0.57232 OPR drug 0.545762 abuse–related ED visits 0.787552 United States 0.623523 OPR abuse–related ED 0.591904 Drug Administration 0.544138 ED visits 0.991544 alcohol consumption 0.603555 benzodiazepine ED visits 0.655949 national ED visits 0.621294 benzodiazepine visits 0.57281 prescription drug abuse 0.579913 alcohol involvement 0.702533 prescription drugs 0.548071 single-drug class deaths 0.602889 drug abuse-related ED 0.620951 Excessive alcohol consumption 0.601837 alcohol overdose 0.569821 OPR ED visits 0.633684 benzodiazepine drug-related deaths 0.61956 benzodiazepine single-drug class 0.548036 Drug Abuse Warning 0.552709 alcohol 0.85075	single-drug class ED 0.590821 alcohol-related visits 0.561645 illicit drugs 0.544487 hospital ED visits 0.622648 benzodiazepines 0.668043 drugs 0.610099 OPRs 0.610711 alcohol increases 0.584314 Christopher M. Jones 0.573296 class ED visits 0.623767 DAWN ED 0.615133 problematic alcohol 0.569219 drug related deaths 0.580656 single drug-class deaths 0.571183 abuse-related ED visits 0.656696 alcohol consumption level 0.584622 pharmaceutical overdose deaths 0.571044 drug abuse–related ED 0.687137 OPR deaths 0.593359 OPR visits 0.578234 drug-related deaths 0.783779 ED visit data 0.579513 benzodiazepine-related deaths 0.556675	CLICK HERE
11878	Centers for Disease Control and Prevention	Html	en	Influenza Outbreak in a Vaccinated Population - USS Ardent,February 2014	Theodore L. Aquino, DO1, Gary T. Brice, PhD2, Sherry Hayes, MPH3, Christopher A.	Center San Diego 0.358092 Preventive Medicine Unit 0.432131 Ardent crew member 0.406064 influenza vaccination policy 0.525361 San Diego County 0.346564 nasal swab specimens 0.999545 seasonal influenza vaccination 0.517233 San Diego 0.849812 independent duty corpsman 0.436884 ILI cases 0.442786 influenza A. Ultimately 0.563326 ILI case 0.426458 influenza vaccine 0.627407 ILI symptoms 0.758156 outbreak response 0.361913 Public Health Services 0.439824 rapid influenza testing 0.776649 U.S. Navy minesweeper 0.380544 local naval health 0.342019 immediate influenza testing 0.538563 U.S. Navy 0.485998 Health Research Center 0.667209 ship outbreak 0.361256 hemisphere influenza season 0.518432	influenza 0.781739 Diego Public Health 0.447259 Naval Health Research 0.545673 influenza outbreaks 0.447659 USS Ardent sailor 0.374397 H3N2 influenza outbreak 0.644008 shipboard medical provider 0.339197 Theodore L. Aquino 0.444398 crew members 0.985698 USS Ardent 0.79934 ILI patients 0.565675 higher-level Navy authorities 0.351446 initial rapid influenza 0.561949 influenza season 0.55381 USS Ardent crew 0.505646 San Diego Public 0.447276 ILI patient 0.504075 rapid influenza tests 0.533109 outbreak isolate 0.371021 influenza epidemics 0.450791 Ardent crew members 0.51484 Influenza A virus 0.463483 outbreak information 0.361849 Base San Diego 0.340838	CLICK HERE
13781	Centers for Disease Control and Prevention	Image	null	Bring Your Brave Campaign - Genetic Counselor (912W x 912H)	null			CLICK HERE
15893	Centers for Disease Control and Prevention	Html	en	Polypharmacy and Health-Related Quality of Life Among USAdults With Arthritis, Medical Expenditure Panel Survey,2010-2012	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.	MEPS prescription medications 0.305266 poverty status 0.295206 PCS scores 0.709941 MCS scores 0.391954 significantly lower PCS 0.399223 short-form health survey 0.288139 federal poverty line 0.306023 physical component summary 0.289442 prescription drugs 0.987506 chronic physical conditions 0.363259 health care providers 0.327886 mental component summary 0.285963 health insurance coverage 0.354339 health-related quality 0.39783 fewer drug classes 0.397609 polypharmacy group 0.326688 12-item short-form health 0.287604 HRQoL measures 0.345485 rheumatoid arthritis 0.436628 lower PCS scores 0.559797 prescription drug classes 0.325721 multiple prescription medications 0.292173 arthritis 0.52711 significantly lower MCS 0.318773 disease-modifying antirheumatic drugs 0.325409	mean PCS scores 0.284485 polypharmacy 0.603038 obstructive pulmonary disease 0.32234 baseline MCS 0.33919 adults 0.47967 anti-inflammatory drugs 0.285682 polypharmacy groups 0.321119 prescription medications 0.314467 retrospective cohort study 0.299653 early rheumatoid arthritis 0.298498 prescription drug coverage 0.451957 low PCS scores 0.31279 Arthritis Care Res 0.294781 multiple drugs 0.303931 explanatory variables 0.329851 geographic area 0.283938 chronic conditions 0.375418 mean MCS scores 0.289133 lower MCS scores 0.291609 Health Qual Life 0.284597 average MCS scores 0.284691 et al 0.286712 drug classes 0.896419 older American Indians 0.309774	CLICK HERE