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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
5117	Centers for Disease Control and Prevention	Html	en	Central Line-associated Bloodstream Infections: Resources for Patients and Healthcare Providers	null	CDC 0.422642 red skin 0.50898 dressing 0.421211 strict protocol 0.515905 guidelines 0.42273 healthcare worker 0.506589 deaths 0.42343 addition 0.440479 area 0.433856 soreness 0.428807 healthcare community 0.535035 germs 0.42566 chest 0.423397 surface 0.42099 CLABSI rate 0.503271 central line insertion 0.623504 short periods 0.517678 added costs 0.524818 medical tests 0.523639 healthcare providers 0.788753 line-associated bloodstream infection 0.679281 infection present 0.546988 dollars 0.424458 U.S. healthcare 0.536163 tools 0.42272	ways patients 0.505905 bandage 0.480978 central line-associated bloodstream 0.86142 place 0.434355 major vein 0.531863 fluids 0.446167 billions 0.428925 IVs 0.466993 Pay attention 0.500185 groin 0.430654 central venous catheter 0.709 medication 0.421155 medicine 0.421037 central lines 0.652924 neck 0.421011 following steps 0.50508 intensive care units 0.611323 line-associated bloodstream infections 0.673669 healthcare provider 0.51098 CLABSIs 0.464005 time 0.442093 stringent infection control 0.64968 large vein 0.542529 intravenous catheters 0.532418	CLICK HERE
5486	Centers for Disease Control and Prevention	Html	en	Acetonitrile - 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
6304	Centers for Disease Control and Prevention	Html	en	"Please tell me, is it safe to go home?" After 9/11, science offers comfort	Please tell me, is it safe to go home? After 9/11, science offers comfort; Rear Admiral Sven Rodenbeck, Sc.D. recalls his involvement in the aftrmath of the attacks on the world trade center.	natural fit 0.479344 big concern 0.477736 immediate concerns 0.483189 environmental health 0.541737 World Trade Center 0.563778 empathetic ear 0.483387 fine coat 0.486073 common light microscope 0.569216 emotional level 0.47528 exceptional bridge 0.480142 Long Island 0.56795 light microscope 0.571178 9/11 0.445157 analysis 0.439845 transmission electron microscope 0.581779 HEPA vacuum 0.472827 wet mop methods 0.529309 kitchen table 0.643256 community leader 0.485061 residents 0.453125 public health assessments 0.547968 Admiral Sven Rodenbeck 0.571239 Technical answers 0.476287 apartments 0.469735 indoor living conditions 0.550816	fiberglass fibers 0.536459 asbestos 0.528118 59th street 0.476226 asbestos fibers 0.504192 condominiums 0.431339 Lower Manhattan 0.82109 frequent cleaning 0.469689 hearing community concerns 0.560738 analytic mind 0.479689 residential buildings 0.474892 huge consideration 0.469492 York City Health 0.551783 environmental samples 0.52771 nation–our security 0.483413 science degree 0.472928 question 0.442735 twin towers 0.483087 potential cancer risk 0.5467 health concerns 0.483211 electron microscope procedures 0.932877 outdoor sampling 0.480024 people 0.445544 Wall Street 0.481885 Disease Registry 0.482091	CLICK HERE
9811	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Evaluating Public Health Resources: What Happens When Funding Disappears? - CDC	Although various factors affect the sustainability of public health programs, funding levels can influence many aspects of program continuity.	fewer program activities 0.513087 obesity prevention programs 0.499054 obesity program development 0.491473 government public health 0.487428 NPAO grant program 0.501652 funding sources 0.508881 Disease Control 0.489841 funding levels 0.533166 state health departments 0.776399 obesity prevention 0.645399 public health systems 0.487122 additional funding 0.518044 obesity prevention partnerships 0.493785 funding stream 0.488386 state plan 0.562516 Public Health Resources 0.501973 CDC NPAO grant 0.572173 obesity prevention initiatives 0.518648 funding changes 0.501237 long-term program success 0.504165 public health finance 0.487119 chronic disease 0.494241 Ariela M. Freedman 0.501697 public health infrastructure 0.487075 state-identified high-priority work 0.497955	state program funding 0.54155 new funding requirements 0.569399 public health funding 0.63104 funding discontinuation 0.504068 states 0.695441 major public health 0.486624 state programs 0.507932 CDC funding 0.508961 state health department 0.52031 technical assistance 0.513937 public health work 0.494243 funding support 0.490868 public health 0.919877 key informant interviews 0.503509 funding 0.789254 best practice strategies 0.495397 public health programs 0.6109 funding delays 0.489124 competitive funding 0.49834 physical activity 0.649632 individual public health 0.487393 health funding decisions 0.598007 funding source 0.502623 public health action 0.486519	CLICK HERE
12795	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | A Case Study of a Hepatitis BScreening and Blood Pressure Assesment Program in Los AngelesCounty, 2012-2013 - CDC	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 on the very latest in chronic disease prevention, research findings, public health interventions, and the exploration of new theories and concepts.	logistic regression model 0.467182 descriptive statistics 0.476973 Los Angeles County 0.904948 program 0.505194 Disease Control 0.497814 David Geffen School 0.460572 proportional odds 0.467205 Hepatitis testing 0.47344 hypertension range 0.474864 Asian Pacific Liver 0.460035 blood pressure 0.967411 Historic General Hospital 0.460645 long-standing hepatitis 0.477809 active chronic infection 0.524514 interdisciplinary provision 0.470004 blood pressure control 0.511434 case study 0.470295 blood pressure measurements 0.499902 community-based organization 0.470647 hepatitis B surface 0.542992 assessment results 0.478816 Angeles County Department 0.918402 hepatitis B screening 0.475352 generalized ordered logit 0.46893	blood pressure medications 0.491672 Health institutional review 0.478853 high-quality medical care 0.46151 United States 0.466555 primarily Asian communities 0.471428 standardized clinical protocols 0.467719 6-month study period 0.466935 self-administered intake questionnaire 0.466457 blood pressure assessments 0.874772 Immunization Practices 0.460233 positive HBsAg test 0.484821 blood pressure readings 0.531116 community health events 0.487412 patient levels 0.47554 proportional odds assumption 0.465537 public health 0.683593 clinical preventive services 0.593015 hepatitis b virus 0.487697 Community Transformation Grants 0.473534 participants 0.465816 comprehensive immunization strategy 0.463539 hepatitis 0.552311 surface antigen 0.472368 blood pressure results 0.554952	CLICK HERE
12952	Centers for Disease Control and Prevention	Html	en	CDC Disease Detective: John	CDC works 24/7 saving lives, protecting people from health threats, and saving money to have a more secure nation. A US federal agency, CDC helps make the healthy choice the easy choice by putting science and prevention into action. CDC works to help people live longer, healthier and more productive lives.	leader 0.418751 general public 0.498495 handwritten sticky note 0.608748 Ebola work 0.668588 general audience 0.494895 Ebola outbreak 0.851418 injury 0.416226 35,000-foot view 0.491173 hectic time 0.515585 fear 0.523056 height 0.419957 Epidemic Intelligence Service 0.578743 patients 0.416676 infographics 0.421592 Director 0.418425 SARS 0.418068 anthrax attacks 0.494534 flood 0.417276 usual job 0.494217 symptoms 0.416669 bad thing 0.493843 disease detective 0.585151 team members 0.498468 foodborne illness 0.492659 plain language 0.498924	Response Medical Care 0.750062 outbreaks 0.41751 CDC’s Ebola 0.722176 science-based information 0.503603 Medical Care Task 0.957053 phone calls 0.517095 Dr. John Brooks 0.628884 infection 0.462369 positive action 0.494931 Ebola Response Medical 0.929348 Dr. Brooks 0.691225 major public health 0.56829 Care Task Force 0.956929 Ebola information 0.669266 natural emotion 0.498696 powerful lesson 0.491825 cases 0.416061 breaks 0.417959 headset 0.42251 lead 0.432953 West Africa 0.492361 ground level 0.490177 Frieden 0.428261 risk 0.427718	CLICK HERE
13487	Centers for Disease Control and Prevention	Html	en	Bicyclist Deaths Associated with Motor Vehicle Traffic -United States, 1975-2012	Jason Vargo, PhD1; Benjamin G. Gerhardstein, MPH2; Geoffrey P. Whitfield, PhD3; Arthur Wendel, MD3.	age-adjusted cyclist mortality 0.562894 cyclist deaths 0.48624 cyclist mortality 0.972461 38-year study period 0.495257 bicycle road safety 0.378265 children 0.389161 Fatality Analysis Reporting 0.374595 age-specific cyclist mortality 0.585223 FARS fatalities 0.39251 FARS 0.42079 Benjamin G. Gerhardstein 0.371149 motor vehicle–related deaths 0.381795 48 states 0.371261 Geoffrey P. Whitfield 0.370983 program.* Age-adjusted mortality 0.461902 bicycle trips 0.377786 FARS variables 0.370917 age-adjusted mortality rates 0.527013 study period 0.606808 age groups 0.429718 lower mortality rates 0.456284 adult cyclist deaths 0.450561 overall mortality rate 0.488237 entire study period 0.381233 unit time bicycling 0.375295	bicyclist deaths 0.387979 national collision data 0.379456 Annual cyclist fatalities 0.456537 United States 0.499793 total bicycle deaths 0.39318 100,000 0.374192 motor vehicle 0.399672 recent cyclist mortality 0.497082 cyclist mortality trends 0.549878 Traffic Safety Administration 0.377902 cyclist mortality rates 0.743306 state mortality rates 0.456547 cyclist mortality rate 0.568909 Jason Vargo 0.37166 FARS database 0.373451 cyclist fatalities 0.483626 fatal traffic crashes 0.368592 physical activity 0.397028 multiple health benefits 0.376482 child bicyclist mortality 0.46466 age-adjusted mortality rate 0.468584 newer FARS data 0.394276 bicycling fatalities 0.378414 child bicycle trips 0.375559	CLICK HERE
14051	Centers for Disease Control and Prevention	Html	en	Radon and Your Health | CDC Features	Radon is the second leading cause of lung cancer after cigarette smoking. If you smoke and live in a home with high radon levels, you increase your risk of developing lung cancer. Having your home tested is the only effective way to determine whether you and your family are at risk of high radon exposure.	radon 0.90224 radon problem 0.488907 Radon Communication Toolkit 0.551878 social media posts.View 0.223342 customizable fact sheets 0.220807 high radon levels 0.696336 U.S. Environmental Protection 0.230717 effective way 0.241611 test kit packaging 0.224317 lung cancer 0.731785 Radon Test Kit 0.54798 public health professionals 0.22508 radioactive particles 0.23729 radon levels 0.746694	radon information 0.474208 state radon office 0.583389 breathing radon 0.519946 home tested 0.240545 radon test kits 0.528358 high radon exposure 0.61302 small measuring device 0.21392 radon gas 0.513943 new web page 0.215343 lung cancer deaths 0.290015 National Radon Hotline 0.523405 Radon Reduction 0.470899 visit Radon Hotlines 0.520448 radon problems 0.459505	CLICK HERE
14070	Centers for Disease Control and Prevention	Html	en	Lead - Tips - Sources of Lead - Water	The Childhood Lead Poisoning Prevention Program is committed to the Healthy People goal of eliminating elevated blood lead levels in children by 2020. CDC continues to assist state and local childhood lead poisoning prevention programs, to provide a scientific basis for policy decisions, and to ensure that health issues are addressed in decisions about housing and the environment.	water provider 0.497892 lead safe water 0.529028 smell lead 0.469683 clean container 0.469007 water authority 0.554787 water meter 0.470526 independent testing organization 0.52297 tap cold 0.486097 interior water pipes 0.529841 Community Water Fluoridation 0.498135 tap water cause 0.564515 metal water taps 0.520926 EPA’s action 0.534671 Drinking Water Hotline 0.514372 Drinking Water Act 0.542057 residential tap water 0.549243 drinking water quality 0.513188 high lead levels 0.490932 water 0.969581 lead water lines 0.571629 lead-contaminated water 0.495393 Elevated Lead 0.475959 lead exposure 0.485035 tap water 0.78519 multiple containers 0.470059	water service lines 0.498673 bottled water 0.556965 cooking water 0.479663 U.S. Environmental Protection 0.475998 water lead levels 0.532664 Drinking Water Requirements 0.514936 highly corrosive water 0.495929 main water pipe 0.524329 drinking water 0.62681 public water systems 0.558773 Safe Drinking Water 0.57549 Rule (http://www.epa.gov/dwreginfo/lead-and-copper-rule). 0.470846 water supply 0.486771 kitchen tap 0.488949 Water Filters 0.469275 lead 0.624843 blood lead level 0.504655 high lead level 0.504415 public water authorities 0.495602 header pipe 0.499484 action level 0.60245 EPA action level 0.531366 blood lead levels 0.503552 local water authority 0.55434	CLICK HERE
16094	Centers for Disease Control and Prevention	Html	en	Opioid Data Analysis	null	illegally-made fentanyl 0.590027 specific drug 0.378811 detailed understanding 0.385379 overdose epidemic 0.404841 interconnected trends 0.37957 new number 0.379354 synthetic opioids 0.822947 Law enforcement agencies 0.459253 CDC Injury Center 0.454813 overdose deaths 0.686302 prescription opioids 0.972707 pharmaceutical drug 0.384581 seizures 0.317771 true burden 0.379869 methadone 0.333745 deaths 0.857173 non-prescription drug 0.393045 prescription opioid overdoses 0.589794 heroin 0.361195 method 0.317186 patients 0.31897 tramadol 0.320899 large proportion 0.471812 15-year increase 0.393832 recent increases 0.383424	decrease 0.31714 effects 0.31759 death certificate 0.437109 different categories 0.381616 standard analysis approach 0.460324 illegally-made fentanyl.1 0.383113 pain relievers 0.381911 significant portion 0.386329 synthetic opioid categories 0.577741 reporting deaths 0.52896 analysis strategy 0.375142 pharmaceutical fentanyl 0.508189 multiple drugs 0.37796 recent surge 0.46493 opioid deaths 0.611739 drug overdose deaths 0.590825 illicit opioid overdoses 0.538754 semi-synthetic opioids 0.583262 opioid analgesics 0.606963 limited category 0.379757 Natural opioids 0.569202 increase 0.429471 severe pain 0.393728 new analysis 0.377152	CLICK HERE