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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
4971	Centers for Disease Control and Prevention	Html	en	A comparison of depression and mental distress indicators, Rhode Island Behavioral Risk Factor Surveillance System, 2006	null	Island BRFSS data 0.388599 Risk Factor Surveillance 0.543902 mental distress 0.747927 clinical depression disorders 0.412577 HRQOL module 0.403857 mental health 0.424771 Alpert Medical School 0.37786 logistic regression 0.396554 Mental Health Data 0.375717 major depression 0.408688 Rhode Island adults 0.414316 higher depression rates 0.400735 Rhode Island Department 0.462664 severe depression 0.387182 mild depression 0.387537 population prevalence estimates 0.389785 Factor Surveillance System. 0.38059 mental health items 0.375608 PHQ-2 0.429454 Behavioral Risk Factor 0.542364 depression prevalence 0.528672 Rhode Island cities 0.406321 health risk variables 0.41671 PHQ-8 current depression 0.434619 depression severity 0.453782	depression severity status 0.406988 patient health questionnaire 0.452369 PHQ-8 0.504674 risk variables 0.4784 prevalence estimates 0.476066 Rhode Island BRFSS 0.494286 10-question depression 0.392903 current depression 0.538554 Island Behavioral Risk 0.446158 logistic regression modeling 0.391343 mental distress estimates 0.390717 Rhode Island 0.94576 multivariable logistic regression 0.394724 HRQOL indicators 0.42631 mental distress indicators 0.432732 frequent mental distress 0.744322 Rhode Island Behavioral 0.45322 BRFSS HRQOL indicators 0.385034 depression indicators 0.402245 Jana Earl Hesser 0.397057 Warren Alpert Medical 0.376019 depression prevalence estimates 0.451383 mental distress questions 0.388574 depression 0.706532	CLICK HERE
5795	Centers for Disease Control and Prevention	Html	en	Benzyl chloride - 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
7444	Centers for Disease Control and Prevention	Html	en	NCEH A to Z Index - P	Resources for the National Center for Environmental Health	MPEG 0.741242 site 0.541063 PDF 0.544429	PPT 0.837268 DOC 0.733754	CLICK HERE
7885	Centers for Disease Control and Prevention	Html	en	Registered Mobile Device	Learn More and Privacy Statement	needs 0.352251 list Skip 0.781345 CDC 0.35971 standard text messaging 0.754461 subscribers 0.353698 page options Skip 0.922289 project 0.346524 quick questions 0.579056 little information 0.551834	program 0.399524 wireless carrier 0.554197 message 0.457084 navigation Skip 0.785284 health tips 0.576742 terms 0.346428 following policies 0.551562 messages 0.44094	CLICK HERE
8172	Centers for Disease Control and Prevention	Html	null	Download Materials Learn the Signs. Act Early - NCBDDD	The Centers for Disease Control and Prevention’s (CDC) National Center on Birth Defects and Developmental Disabilities (NCBDDD), in collaboration with a number of national partners, launched a public awareness campaign called “Learn the Signs. Act Early.” The campaign aims to educate parents about childhood development, including early warning signs of autism and other developmental disorders, and encourages developmental screening and intervention.			CLICK HERE
9603	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Weight Status and Weight-Management Behaviors Among Philadelphia High School Students, 2007"2011 - CDC	The prevalence of obesity among youth may be stabilizing and even declining in some areas of the United States. The objective of our study was to examine whether the stabilization in obesity prevalence among Philadelphia high school students was accompanied by changes in weight-management behaviors.	healthful weight-loss behaviors 0.424165 obesity rates 0.461764 data 0.388505 normal-weight male students 0.388237 vegetable consumption 0.407283 childhood obesity epidemic 0.387788 obese students 0.44169 weight- management behaviors 0.402848 significant differences 0.439375 self-reported weight status 0.388787 Risk Behavior Survey 0.407427 obese male students 0.398599 healthful weight management 0.430671 youth obesity epidemic 0.384108 poor weight-management behaviors 0.390081 youth obesity rates 0.387945 Youth Risk Behavior 0.455838 obesity prevalence 0.41374 health care professionals 0.38414 healthful weight-related behaviors 0.39418 extreme weight-management 0.473217 male students 0.575613 healthful weight-management behaviors 0.453036 study period 0.443437 overweight students 0.389155	obese female students 0.401418 regular physical activity 0.390657 in-weight management behaviors 0.383026 weight-management behaviors 0.779059 female students 0.641976 multivariable regression models 0.402756 United States 0.416395 significant changes 0.382422 television viewing 0.381225 diet pills 0.415279 extreme weight-management strategies 0.446755 overweight 0.436195 public health 0.516529 normal-weight female students 0.391045 community-based obesity prevention 0.376659 high school students 0.921009 physical activity 0.686083 Philadelphia high school 0.45523 extreme weight-management behaviors 0.469876 public health efforts 0.398328 childhood obesity 0.487032 screen time 0.473055 youth health behaviors 0.400701 weight perception 0.40276	CLICK HERE
10853	Centers for Disease Control and Prevention	Html	null	Preventing Chronic Disease | Hypertension Prevalence, Awareness, Treatment, and Control and Sodium Intake in Shandong Province, China: Baseline Results From Shandong"Ministry of Health Action on Salt Reduction and Hypertension (SMASH), 2011 - CDC	In China, population-based blood pressure levels and prevalence of hypertension are increasing. Meanwhile, sodium intake, a major risk factor for hypertension, is high. In 2011, to develop intervention priorities for a salt reduction and hypertension control project in Shandong Province (population 96 million), a cross-sectional survey was conducted to collect information on sodium intake and hypertension prevalence, awareness, treatment, and control.			CLICK HERE
12136	Centers for Disease Control and Prevention	Html	en	Chikungunya Cases Identified Through Passive Surveillanceand Household Investigations - Puerto Rico, May 5-August 12,2014	Tyler M. Sharp, PhD1, Nicole M. Roth1, Jomil Torres, MS2, Kyle R.	Puerto Rico 0.674867 chikungunya diagnostic testing 0.44923 household investigations 0.425495 chikungunya surveillance 0.527315 asymptomatic CHIKV infection 0.296311 chikungunya virus 0.459675 chikungunya awareness 0.420936 passive dengue surveillance 0.3745 Puerto Rico Department 0.316205 DENV infection 0.362416 dengue case investigation 0.319735 clinician suspected chikungunya 0.501283 dengue patients 0.447839 high infection rates 0.280641 current CHIKV infection 0.309955 health care providers 0.336255 dengue cases 0.311736 health care professionals 0.268777 persistent joint pain 0.271852 San Juan 0.274036 severe dengue 0.308701 commonly reported symptoms 0.292054 Additional laboratory-positive chikungunya 0.475079 dengue patients†† 0.278093	chikungunya patients 0.724941 severe manifestations 0.286696 CHIKV infection 0.73645 chikungunya sentinel surveillance 0.447752 medical care 0.307864 chikungunya 0.928047 Tyler M. Sharp 0.295401 laboratory-positive chikungunya case 0.504182 laboratory-positive chikungunya 0.618909 chikungunya epidemic 0.46561 Ae. aegypti mosquitoes 0.2955 chikungunya surveillance sites 0.44617 chikungunya cases 0.927207 acute febrile illness 0.390361 Fatal chikungunya cases 0.454653 laboratory-positive chikungunya cases 0.567671 locally acquired chikungunya 0.594982 dengue viruses 0.287642 illness onset 0.322967 recent DENV infection 0.299365 recent CHIKV infection 0.455041 passive surveillance 0.34799 laboratory-positive chikungunya patients 0.606849	CLICK HERE
13679	Centers for Disease Control and Prevention	Html	en	Sick Days | Managing | Diabetes	cdc, diabetes, sick days, sick, advice, resources, guidance, what to do, eat, managing	yogurt 0.339094 medicines 0.385348 fact 0.330656 urine 0.338215 health care provider 0.805551 ounces 0.341569 food choices 0.4637 box 0.332864 emergency room 0.459487 recovery 0.337085 ketones 0.34562 carbohydrate 0.336654 sweet beverages 0.462318 ice cream 0.473685 ways 0.332784 good written records 0.594246 things 0.372691 Good choices 0.485421 dehydration 0.340428	pitcher 0.336687 grams 0.338831 energy 0.33386 hand 0.333297 fluids 0.332804 portions 0.331445 family members 0.481828 easy-to-fix foods 0.472107 milk 0.331019 plenty 0.33221 blood sugar levels 0.657975 friends 0.332857 blood glucose monitoring 0.634129 toast 0.338409 diabetes medicine 0.467987 medical team 0.647885 blood sugar 0.919268 non-caloric drink 0.515106	CLICK HERE
16369	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Investigation of Elizabethkingiaanophelis Cluster - Illinois, 2014-2016 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	CDC 0.760144 positive respiratory specimens 0.661817 critically ill patients 0.688332 additional genetic analysis 0.655751 Illinois Department 0.68185 EKA infections 0.752104 positive blood cultures 0.664115 electronic PDF version 0.647775 SNPs 0.647176 health care facility 0.699423 single nucleotide polymorphisms 0.819703 Gram negative bacilli 0.681603 high case-fatality rate 0.672426 infection preventionists 0.672819 common facility exposure 0.650218 EKA cases 0.751179 patients 0.83166 Wisconsin outbreak strain 0.692189 Elizabethkingia spp. infections 0.820964 Wisconsin State Laboratory 0.651678 genetic cluster 0.692575 point source outbreak 0.669528 baseline incidence data 0.652191 nucleotide polymorphisms distance 0.649719 case fatality rate 0.652235	distantly related EKA 0.824489 pulsed-field gel electrophoresis 0.663907 Illinois patients 0.653608 specimen collection 0.676381 obstructive pulmonary disease 0.657266 EKA health 0.798227 genetic diversity 0.654996 Public Health 0.832939 Illinois health care 0.740826 band pattern differences 0.655885 original MMWR paper 0.651133 positive EKA specimen 0.819104 historic EKA 0.745276 Illinois healthcare facilities 0.682317 neighboring health departments 0.702817 Wisconsin Department 0.676138 EKA 0.942568 percutaneous endoscopic gastrostomy 0.66007 distinct PFGE pattern 0.650659 Elizabethkingia spp. 0.985115 positive culture 0.667804 health care–associated outbreaks 0.725447 long-term acute care 0.658796 environmental isolates 0.754274	CLICK HERE