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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
1311	Centers for Disease Control and Prevention	Html	en	Mumps | CDC Features	Mumps vaccine is the best way to protect your child against mumps, a contagious disease that can cause serious complications.	college 0.233111 health insurance 0.380947 best way 0.430966 insurance provider 0.296669 program 0.233109 children 0.321615 long-lasting problems 0.305609 highly vaccinated U.S. 0.418681 swollen jaw 0.313968 long-term health problems 0.398518 rubella 0.25424 diseases 0.239648 puffy cheeks 0.319614 effects 0.237217 viral encephalitis 0.316183 mumps vaccine 0.821166 rare cases 0.298914 high vaccination coverage 0.392112 mumps 0.987273 child 0.39332 doses 0.250447 mumps outbreaks 0.701938 vaccines 0.313758 fever 0.238637 cause 0.224854	sudden deafness 0.314551 immunization records 0.323964 MMRV vaccine 0.420166 trade school 0.301263 muscle aches 0.315344 combination vaccine 0.517956 healthcare professionals 0.298044 eligible children 0.304683 higher risk 0.295749 health insurance plans 0.374364 salivary glands 0.319639 mumps cases 0.572791 Talk 0.241521 varicella 0.223804 doctor 0.253158 rash 0.223153 MMR vaccine.  Learn 0.435683 state VFC coordinator 0.377972 close-contact settings 0.30226 international travelers 0.299874 appetite 0.222208 measles 0.252434 MMR vaccine 0.678751 contagious disease 0.421704	CLICK HERE
4596	Centers for Disease Control and Prevention	Image	null	Photograph of lobster tank (700W x 933H)	null			CLICK HERE
4811	Centers for Disease Control and Prevention	Html	es	Evaluación de percepciones y respuestas a múltiples riesgos de salud en la personas pobres del sur	null	conductas protectoras 0.828506 baja eficacia 0.508875 Johnson-Turbes CA 0.518727 Freimuth VS 0.527786	Estados Unidos 0.954413 Chronic Dis 0.530776 múltiples riesgos 0.710777 Chervin DD 0.541867	CLICK HERE
5334	Centers for Disease Control and Prevention	Html	en	Two-tiered Testing Decision Tree for Lyme Disease	Information on Lyme disease. Provided by the U.S. Centers for Disease Control and Prevention.	Lyme disease 0.668968 figure 0.439517 cases 0.439015 Two-tier Testing Decision 0.919067 IFA 0.46616 IgG Western Blot 0.880123 Enzyme Immunoassay 0.686773 alternative diagnosis 0.626384 IgM Western Blot 0.931599 test yields 0.657426	steps 0.4516 symptoms 0.500039 convalescent serum 0.681099 provider 0.467048 patient 0.564379 options 0.437268 Tree 0.443816 Immunofluorescence Assay 0.693882 EIA 0.466421 negative results 0.624323	CLICK HERE
9324	Centers for Disease Control and Prevention	Html	es	CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0244	CDC - Wide Page example description goes here	posibles factores 0.653492 Estados Unidos 0.92856	alta prevalencia 0.622153	CLICK HERE
10640	Centers for Disease Control and Prevention	Html	en	Short and Extended Messages'Resources' Communicating in the First Hours	The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency.	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
11245	Centers for Disease Control and Prevention	Html	es	¡Cuidado con ese bocado!Cómo proteger a aquellos en riesgo de intoxicaciones alimentariaspor listeria	Algunas veces los alimentos que nos encantan y que confiamos que son buenos para la salud están contaminados con microbios que causan enfermedades y que pueden ser mortales para ciertas personas			CLICK HERE
11939	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Update on Lyme Carditis, Groups atHigh Risk, and Frequency of Associated Sudden Cardiac Death -United States	Joseph D. Forrester, MD1,2, Jonathan Meiman, MD1,3, Jocelyn Mullins, DVM, PhD1,4, Randall Nelson, DVM4, Starr-Hope Ertel4, Matt Cartter, MD4, Catherine M. Brown, DVM5, Virginia Lijewski, MPH5, Elizabeth Schiffman, MA6, David Neitzel, MS6, Elizabeth R.	current treatment guidelines 0.363723 Lyme disease 0.914557 P. Bryon Backenson 0.377375 health care provider 0.383846 York State Department 0.372161 Lyme disease area 0.539549 age-adjusted death rates 0.37505 Zoonotic Infectious Disease 0.422853 public health departments 0.40028 observed all-cause mortality 0.375047 accompanying erythema migrans 0.381702 disease symptom onset 0.448918 health care providers 0.461233 Lyme disease symptom 0.596038 Lyme disease states 0.543442 sudden cardiac arrest 0.397746 Lyme disease diagnosis 0.569628 Lyme disease cases 0.569557 Natalie R. Kratz 0.37848 Lyme disease region 0.519553 patients 0.447219 public health partners 0.38611 Phillip M. Kurpiel 0.375333 Abigail A. Mathewson 0.376945	lyme carditis 0.978969 surveillance case definition 0.367332 state public health 0.449948 atrioventricular conduction block 0.368116 1Epidemic Intelligence Service 0.362952 Associated Sudden Cardiac 0.414743 Catherine M. Brown 0.375017 sudden cardiac deaths 0.391787 Notifiable Disease Surveillance 0.395821 sudden cardiac death 0.464204 clinical information 0.373362 certain demographic groups 0.372438 public health 0.479502 cardiac tissue 0.386369 polymerase chain reaction 0.364982 New Jersey Department 0.373246 high-incidence Lyme disease 0.660715 Lyme disease case 0.555079 8New Jersey Department 0.372306 Vector-Borne Infectious Diseases 0.362723 erythema migrans 0.421666 Diep Hoang Johnson 0.379932 chest pain 0.364721 available clinical information 0.372572	CLICK HERE
13944	Centers for Disease Control and Prevention	Html	en	Assessment of HPV Types in Cancers	null	Los Angeles County 0.32264 numbers 0.213448 Journal 0.213793 CDC study 0.289524 HPV types 0.657733 clinical data 0.267429 health impact 0.320008 Detection Program 0.261701 percentage 0.21381 Unger 0.212881 vagina 0.237321 following links 0.264639 researchers 0.236803 anus 0.240009 cervical cancers 0.38915 HPV-associated cancers 0.593207 tonsils 0.226757 human papillomavirus 0.359485 cancers 0.597169 online first. 0.263604 HPV infections 0.512669 Natl Cancer Inst. 0.330778 9-valent HPV vaccine 0.586729 HPV Cancer Prevention 0.542317 United States 0.398811	throat 0.23125 tongue 0.230926 HPV vaccine 0.673656 HPV type 0.494957 cancer registries 0.477158 vulva 0.242668 HPV 0.910647 genital warts 0.271345 accurate estimates 0.26318 potential impact 0.266831 National Cancer Institute 0.353746 cancer cases 0.306619 National Breast 0.257929 penis 0.235023 Back-to-School Checklist 0.265912 following activities 0.262943 hpv vaccines 0.784605 important starting point 0.31507 tissue samples 0.276839 bivalent HPV vaccine 0.5924 et al 0.262836 information 0.239591 9-valent HPV Vaccines 0.589331 Cervical Cancer Early 0.324446	CLICK HERE
15857	Centers for Disease Control and Prevention	Html	en	Association Between User-Generated Commuting Data andPopulation-Representative Active Commuting Surveillance Data - FourCities, 2014-2015 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	transportation officials 0.494218 active transportation programs 0.560702 U.S. cities 0.523482 higher block group 0.497114 GPS-based commuting data 0.495315 rank block groups 0.496131 number 0.487534 population density 0.593834 GPS-tracked data sources 0.50622 active transportation data 0.667143 non-work active transportation 0.499146 active transportation 0.953258 public health surveillance 0.572828 ACS samples 0.500699 block group estimates 0.500222 User-generated GPS data 0.504512 block group level 0.504577 user-generated active transportation 0.65995 block groups 0.795709 population-representative active transportation 0.513961 general U.S. population 0.482884 census block groups 0.517093 population-representative commuting data 0.495192 public health practice 0.479923 ACS active commuters 0.800198	ACS commuter variables 0.502229 application users 0.509091 GPS-tracked active commuters 0.547925 traditional active transportation 0.559652 active transportation surveillance 0.640386 GPS-tracked commuters 0.628709 GPS-tracked commuting data 0.497135 ACS cycles 0.495666 GPS-tracked active transportation 0.52346 general population 0.493775 higher population density 0.476658 block group 0.770412 user-generated data 0.482316 public health 0.609312 block group population 0.548516 data collection 0.506339 in-person data collection 0.480745 physical activity 0.51674 Census block group 0.508739 San Francisco 0.579883 user-generated GPS-tracked 0.502146 ACS respondents 0.484546 transportation surveillance systems 0.500767 public health priority 0.477993	CLICK HERE