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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
1106	Centers for Disease Control and Prevention	Html	en	Febrile Seizures Following Childhood Vaccinations, Including Influenza Vaccination	Overview of febrile seizures, what causes them, and how serious they are.	H1N1 flu vaccine 0.452471 2009-10 flu season 0.424677 Hambidge 0.308869 CDC 0.336742 permanent neurological damage 0.367929 pertussis 0.307328 following sites 0.336029 ear infection 0.340831 flu vaccines 0.427974 tetanus 0.307012 children 0.427742 young children 0.37164 flu vaccination 0.398894 -containing vaccine 0.36194 pneumococcal conjugate vaccine 0.39226 colds 0.308748 flu illness 0.417625 Vaccine Adverse Event 0.392187 immediate family 0.338408 febrile seizure recover 0.531406 VAERS website 0.340642 refers 0.309315 seizure/convulsion 0.30765 seizure disorder 0.361175 fevers 0.319504	word 0.307985 febrile seizure 0.691823 influenza 0.307355 convulsion 0.310606 United States 0.370421 fever 0.346525 Drug Administration 0.334625 flu vaccine 0.545395 lower body temperatures 0.370904 childhood immunization recommendations 0.360867 common age range 0.369522 studies 0.319295 Yes. Febrile seizures 0.562836 uncontrolled body movements 0.377985 diphtheria 0.307205 Recommended Immunizations 0.337957 flu seasons 0.393145 vaccine safety monitoring 0.423777 primary systems 0.334375 small increased risk 0.364892 Seasonal flu vaccine 0.450658 flu shot 0.412587 high fever 0.342919 ages 0.307305	CLICK HERE
6679	Centers for Disease Control and Prevention	Html	en	Fifth Disease	Parvovirus B19 most commonly causes fifth disease, a rash illness.	healthcare providers 0.515543 polyarthropathy syndrome 0.215092 medical treatment 0.386273 erythema infectiosum 0.261694 adults 0.324206 parvovirus b19 0.866753 red rash 0.490129 painful joints 0.224875 infected person coughs 0.417569 children 0.240769 skin rash illnesses 0.71843 immune systems 0.41006 respiratory secretions 0.213662 pregnant woman 0.208516 long-term problems 0.217235	infection control practices 0.367305 nasal mucus 0.221592 health complications 0.210586 organ transplants 0.203279 disease 0.919058 chronic anemia 0.203539 blood test 0.332602 swollen joints 0.242817 joint pain 0.620938 people 0.279396 people fifth disease 0.237196 child care center 0.340795 Parvovirus B19—which 0.425724 historical classifications 0.240025 HIV infection 0.227924	CLICK HERE
7528	Centers for Disease Control and Prevention	Html	en	Pediatric Genetics - VTE | CDC Features	null	population-based surveillance pilot 0.703524 venous catheter procedures 0.747616 national database 0.618223 dramatic increase 0.616478 VTE prevention 0.674701 pediatric discharges 0.641817 U.S. children 0.620694 Childhood Thrombophilia Registry 0.667705 nationwide population-based study 0.677488 VTE diagnosis 0.683705 VTE public health 0.768309 National Blood Clot 0.724832 VTE diagnoses 0.738268 van Ommen CH 0.661415 Venous thromboembolic complications 0.736658 pediatric VTE 0.786689 hospital discharges 0.620623 Health care expenditures 0.678107 Boulet SL 0.671059 VTE surveillance 0.682142 similar increases 0.621308 pelvis–deep vein thrombosis 0.717682 adult VTE 0.681746 lungs–pulmonary embolism 0.620921 Health care 0.684141	Hooper WC 0.671851 Health care costs 0.682632 actual increase 0.615765 Clot patient forums 0.714688 Grosse SD 0.660078 Deep Vein Thrombosis 0.695291 VTE 0.907045 health promotion 0.68552 VTE component 0.672527 significant increase 0.618752 pediatric thromboembolic disease 0.70805 arterial noncerebral thromboembolism 0.685378 National Healthcare Safety 0.686014 Venous Thromboembolism-Related Hospitalizations 0.77118 Vascular Disease Foundation 0.666474 M. Venous thromboembolism 0.745033 hospital-associated VTE 0.668368 largest increases 0.623435 Nationwide Inpatient Sample 0.704371 high risk settings 0.669548 observed increase 0.621703 VTE-associated pediatric hospitalizations 0.798834 et al 0.669944 prospective two-year registry 0.658507	CLICK HERE
10076	Centers for Disease Control and Prevention	Html	en	Silica, Engineering Controls for Silica in Construction - Cut-off Saws - NIOSH Workplace Safety and Health Topic	This NIOSH Topic Page presents information and links to other resources about Silica and Silicosis, and provides information to help workers protect themselves from occupational exposure to Silica.	Water Controls video 0.441835 dust exposures 0.459569 Vacuum Controls video 0.41547 cut-off saw 0.820992 2-inch diameter hose 0.333287 cut-off saws 0.520691 dust plume 0.431703 flow rate 0.423812 masonry materials 0.287203 water attachments 0.286109 local exhaust ventilation 0.488309 concrete slabs 0.28683 hand-held concrete saws 0.371017 gasoline-powered saws.Water 0.284704 exhaust hood 0.287465 air flow rate 0.340015 hand-held abrasive cutters 0.361556 dust 0.900038 flexible hose.The vacuum 0.343645 respirable crystalline silica 0.420452 effective dust control 0.500841 cut-off saw.The 0.394284 high-efficiency particulate air 0.34302 concrete block 0.281764 portable pressurized tank 0.345624	source.Both types 0.279772 adequate air flow 0.33615 best results.Adjustable hoods 0.339669 quickie saws 0.324541 different cutting depths 0.341326 Engineering Controls video 0.461796 cubic meter 0.286909 .Less water 0.288666 vacuum source 0.280771 chop saws 0.322487 Controls video 0.576078 pressure gauge 0.343981 potential exposure 0.292945 previous video 0.285648 water method 0.278072 control uses 0.281727 filter replacement indicator 0.328935 dust control.Electric-powered saws 0.547443 dust controls.The worker 0.569335 dust suppression 0.505475 dust emissions.Water 0.454759 respirable dust exposure 0.842803 industrial vacuum 0.284386 Sufficient flow rate 0.338862	CLICK HERE
10172	Centers for Disease Control and Prevention	Html	es	Inquietudes respecto del agua y los alimentos|Terremotos	Information on terrorism and public health. Provided by the Centers for Disease Control and Prevention (CDC).	suficiente agua 0.900757 Archivo Apple Quicktime 0.576986 Archivo RealPlayer 0.468661 presente grietas 0.474289 siguientes artículos 0.476368 Archivo Microsoft PowerPoint 0.597644 Archivo Adobe PDF 0.574933	cloro doméstico inodoro 0.779948 mano alimentos 0.600831 Archivo Microsoft 0.886994 Archivo Microsoft Word 0.594364 Archivo Zip Comprimido 0.572999 Archivo Microsoft Excel 0.572276	CLICK HERE
12165	Centers for Disease Control and Prevention	Html	en	Meningitis | Lab Manual | Characterization - Molecular Typing | CDC	Primary Culture and Presumptive Identification Laboratory Methods.	microtiter plates 0.250201 Clade sequencing PCR 0.267484 PCR amplification reaction 0.542552 S. pneumoniae 0.647671 8-well tube strips 0.544742 96-well plates 0.340435 PCR machine 0.320835 sequencing PCR reaction 0.434452 protocols 0.268676 sequence data 0.300977 PCR protocol 0.310658 PCR reaction protocols 0.267982 PCR cycling conditions 0.286602 PEG8000/2.5M NaCl precipitation 0.335836 laboratory 0.25784 PCR reaction setup 0.383974 PCR reactions 0.417044 PCR products 0.464304 reaction products 0.388674 primers 0.498794 PCR 0.898643 MLST sequencing PCR 0.286265 MLST PCR amplification 0.273103 H. influenzae 0.436922 master mix 0.347177	amino acid 0.309891 amplification reaction set-up 0.283352 fetA sequencing PCR 0.273092 phase reversible immobilization 0.498292 GenBank Accession number 0.278845 N. meningitidis 0.386251 fHbp sequencing PCR 0.263728 pbp2x sequencing PCR 0.257821 cycling conditions 0.992031 DNA nucleotide sequencing 0.381607 PCR reaction 0.492016 primer concentrations 0.25255 PCR amplification 0.821602 porB sequencing PCR 0.273648 porB PCR amplification 0.248455 µl volumes 0.5624 agarose gel 0.289362 PCR primers 0.453897 Table 0.528943 gel filtration columns 0.510159 solid phase 0.319489 DNA 0.401699 reactions 0.520373 successful PCR amplification 0.460849	CLICK HERE
15859	Centers for Disease Control and Prevention	Html	en	Physical Inactivity Among Adults Aged 50 Years and Older -United States, 2014 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	skin cancer 0.458539 demographic characteristics 0.49154 prevalence ratio 0.474886 lowest prevalence 0.475819 myocardial infarction 0.460909 Risk Factor Surveillance 0.455914 U.S. Department 0.478635 Inactivity prevalence 0.633588 BMI category 0.483914 education level 0.459634 evidence-based strategies 0.46299 demographics-adjusted prevalence 0.473587 body mass index 0.585908 response rate 0.455694 gain health benefits 0.468875 low impact activity 0.471875 overall prevalence estimates 0.499323 persons 0.489949 public health practice 0.474214 chronic disease 0.818994 health benefits 0.494006 obstructive pulmonary disease 0.520049 walking.††† Health care 0.460836 National Physical Activity 0.492395 age group 0.483799	adults 0.705482 State Public Health 0.461619 Physical Activity Guidelines 0.492195 BRFSS physical activity 0.489495 non-Hispanic blacks 0.55009 non-Hispanic whites 0.547664 health care 0.464572 50 states 0.53383 multiple logistic regression 0.499676 specific chronic diseases 0.49745 random-digit–dialed telephone survey 0.457743 chronic diseases 0.756587 Promote School Health 0.463863 U.S. adults 0.458349 health 0.512502 chronic obstructive lung 0.489736 chronic conditions 0.462079 physical activity 0.952615 Chronic Disease Prevention 0.523722 chronic disease status 0.559256 older adults 0.521421 coronary heart disease 0.663642 potential confounding effects 0.456122 physical inactivity 0.507467	CLICK HERE
16155	Centers for Disease Control and Prevention	Html	en	Natural Disasters and Severe Weather	Preparedness information provided by the Centers for Disease Control and Prevention (CDC).	Microsoft PowerPoint file 0.731556 Extreme Heat Older 0.735569 Carbon Monoxide Poisoning 0.986809 Water Safe 0.742174 Winter Weather Checklists 0.755035 Evacuation Center Play 0.748093 Microsoft Word file 0.734872 Hot Weather Tips 0.748971 Response Workers Health 0.752997 Natural Disasters 0.86272 Safety Concerns 0.739677 Disaster Location 0.741876 Microsoft Excel file 0.730623 page options Skip 0.749668 Safety Food Safety 0.816863 different file formats 0.733145 Public Evacuation Centers 0.761595 Disaster Resources Educational 0.81421 Cold Weather Hypothermia 0.736881 Missouri Cooling Centers 0.735936 Wildfires PSAs 0.737186 Building Water Systems 0.739796 Pressure Washer Safety 0.745317 Evacuation Centers 0.933152 Storm Indoor Safety 0.758465	Tsunamis Health Effects 0.747009 Winter Weather 0.841414 Lightning Lightning Safety 0.774863 Search Form Controls 0.85581 Pesticide Safety Guidance 0.749695 Disaster Evacuation Centers 0.917452 Emergency Health Professionals 0.749399 Disaster Immunization Immunization 0.800601 Pet Shelters 0.750657 Extreme Heat PSAs 0.793543 Outdoor Safety 0.759793 Disaster Evacuees 0.732135 Extreme Heat 0.930661 Disaster Sites 0.730515 Flood Water 0.743795 Search Controls 0.745361 Tsunami Worker Safety 0.757404 Floods PSAs 0.733021 Educational Materials 0.907001 Community Evacuation Centers 0.762612 Worker Safety 0.869201 Severe Weather 0.779557 Disaster Relief Volunteers 0.772619 Indoor Safety 0.759135	CLICK HERE
16392	Centers for Disease Control and Prevention	Html	es	Conocer los antecedentes médicos familiares no es suficiente: También debe actuar - Especiales CDC - CDC en Español	¿Han tenido cáncer de mama su madre o su hermana? ¿Tienen diabetes su madre, padre, hermana o hermano? ¿Han tenido cáncer colorrectal (de colon) su madre, padre, hermano o hermana antes de los 50 años de edad? Si respondió sí, hay más probabilidad de que usted tenga la misma enfermedad que sus padres o hermanos, y debería considerar hacerse pruebas de detección a una edad más temprana. Consulte a su médico sobre cuándo comenzar a hacerse las pruebas de detección y qué otras medidas debe tomar para prevenir la enfermedad o detectarla de forma precoz. Detectar una enfermedad a tiempo muchas veces puede ayudar a tener una mejor salud a largo plazo.	Archivo Apple Quicktime 0.367945 FRAX Risk Assessment 0.378654 Archivo Adobe PDF 0.366389 malos hábitos 0.350219 siguientes afecciones 0.365026 Archivo Microsoft 0.497832 Archivo Microsoft Word 0.370873 largo plazo 0.354934 Salud Pública 0.358564 ¿Cuántos años 0.356701 diabetes tipo 0.661227 antecedentes médicos familiares 0.82758 Archivo Microsoft Excel 0.365716	Summer Lee Cox 0.387256 Día Nacional 0.346287 antecedentes familiares 0.965903 pariente varón 0.354364 cuáles exámenes 0.349781 Archivo Microsoft PowerPoint 0.371436 Estados Unidos 0.349281 pruebas brca 0.370439 historial familiar 0.591349 Archivo Zip Comprimido 0.367432 ¿Tienes enfermedades 0.351443 asesoría genética 0.427194	CLICK HERE
16459	Centers for Disease Control and Prevention	Html	en	Marijuana Use Among 10th Grade Students - Washington, 2014 |MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	school performance 0.477601 retail marijuana 0.655642 current marijuana 0.650943 medical marijuana 0.707959 marijuana 0.921027 binge drinking 0.366271 public school students 0.395447 lower intelligence quotient 0.440261 medical marijuana sales 0.578763 marijuana question 0.573484 recreational marijuana 0.648971 brain development 0.377438 public schools 0.429535 poor school performance 0.421905 Indian/Alaska Native students 0.397723 national level estimates 0.366952 nonmarijuana users 0.369602 response rate 0.394461 non-Hispanic American Indian/Alaska 0.373355 mental health effects 0.382048 state-level marijuana 0.594491 Washington State Department 0.468479 marijuana taxes 0.548954 public health practice 0.379445 youth marijuana initiation 0.657385	sustainable public health 0.377459 prevention strategies 0.368937 Tenth-grade marijuana users 0.594081 marijuana users 0.752014 youth marijuana 0.742159 commonly reported means 0.392667 Washington State Office 0.372241 marijuana use exist 0.593826 marijuana indoors 0.549694 lower academic retention 0.369481 youth access 0.370668 current marijuana users 0.630684 youths 0.385343 Washington students 0.369805 grade students 0.565898 marijuana access 0.592867 Washington 10th grade 0.368819 grade marijuana users 0.641353 past 30-day marijuana 0.610987 30-day marijuana 0.676256 Healthy Youth Survey 0.378034 past 30-day cigarette 0.373153 marijuana use prevalence 0.606889 Regular marijuana 0.553472	CLICK HERE