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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
6321	Centers for Disease Control and Prevention	Html	en	From evidence-based medicine to evidence-based health: the example of asthma.	null	asthma outcomes 0.503298 asthma quality-of-life score 0.56392 emergency department visits 0.577004 home environmental exposures 0.341306 community asthma education 0.617511 in-home community health 0.377861 asthma severity 0.581775 asthma self-management support 0.606918 Nurse-provided asthma education 0.584564 asthma guidelines 0.555255 Chronic Care Model 0.345098 asthma prevention 0.507403 asthma exacerbations 0.511115 asthma attacks 0.547365 asthma 0.936502 asthma control 0.506766 Pediatr Adolesc Med 0.416817 environmental control resources 0.34709 primary care physicians 0.451493 County Healthy Homes 0.541379 appropriate community resources 0.35253 Cochrane Database Syst 0.420519 evidence-based health care 0.408834 community health 0.708748	community health workers 0.655304 Database Syst Rev 0.416518 asthma-related health care 0.403473 Healthy Homes Project 0.420922 community health worker 0.380255 global allergen burden 0.369586 asthma coach 0.480802 allergen reduction 0.397871 African American patients 0.344285 allergen burden 0.369777 self-management support 0.831341 asthma burden 0.540427 asthma-related urgent health 0.363758 indoor asthma triggers 0.544379 evidence-based health 0.468406 Arch Pediatr Adolesc 0.4145 Seattle-King County Healthy 0.555195 evidence-based clinical practice 0.377549 community health interventions 0.594633 San Francisco 0.49505 environmental allergen reduction 0.365281 California San Francisco 0.429756 Self-management support interventions 0.453943 asthma symptoms 0.583385	CLICK HERE
6348	Centers for Disease Control and Prevention	Html	en	General Information - Basic Facts - Mold	CDC Mold Web site provides information on mold and health, an inventory of state indoor air quality programs, advice on assessment, cleanup efforts, and prevention of mold growth, and links to resources.	high mold exposures 0.544747 indoor air quality 0.566737 state Indoor Air 0.383205 obstructive lung disease 0.375412 health care provider 0.490962 early mold exposure 0.575632 mold allergies 0.505086 Page 0.40248 mold issues 0.497271 Mold spores 0.544995 appropriate medical action 0.367475 potential health risk 0.384896 humidity levels 0.496142 air conditioner 0.375157 normal mold growth 0.586363 mold growth 0.736656 health care providers 0.383548 mold assessment 0.497418 World Health Organization 0.392614 Wear rubber boots 0.372905 severe reactions 0.40589 local school board 0.376318 mold 0.936351 indoor exposure 0.360883	molds 0.456339 chronic lung illnesses 0.371917 mold infections 0.558746 Air Quality program 0.376024 Environmental Protection Agency 0.419415 infectious disease physician 0.368196 air quality tools 0.376849 Mold Remediation 0.498263 harsh environmental conditions 0.388896 respiratory tract symptoms 0.376949 U.S. Environmental Protection 0.420461 household laundry bleach 0.384496 state government authorities 0.370334 local health department 0.388226 state health department 0.384506 indoor mold exposure 0.581146 health department 0.403566 humid conditions 0.392714 people 0.357514 future mold growth 0.538317 mold inhibitors 0.513481 mold exposure 0.685643 previously soaked carpets 0.371974 general health care 0.384567	CLICK HERE
6690	Centers for Disease Control and Prevention	Html	en	Community-Based Opioid Overdose Prevention Programs Providing Naloxone - United States, 2010	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.	higher overdose risk 0.299614 opioid drug overdose 0.463048 high drug overdose 0.302579 untreated opioid overdoses 0.243015 drug overdose 0.836519 drug overdose reversals 0.317747 opioid-related drug overdose 0.311802 overdose prevention activities 0.308078 prescription opioid analgesics 0.313197 opioid overdose education 0.423906 Naloxone Overdose Prevention 0.346473 overdose risk 0.320878 age-adjusted drug overdose 0.317171 overdose prevention training 0.32075 opioid prescribing guidelines 0.246575 opioid antagonist naloxone 0.313117 local opioid overdose 0.500531 community-based opioid overdose 0.514457 substance abuse treatment 0.2334 overdose risk factors 0.312725 naloxone distribution 0.303828 noninjection opioid users 0.253618 opioid overdose prevention 0.992111 overdose prevention services 0.394003 opioid overdose reversals 0.38679	United States 0.254981 overdose reversals 0.54568 overdose prevention programs 0.479367 overdose death rates 0.611837 local overdose prevention 0.300665 opioid overdoses 0.251765 high overdose mortality 0.299348 overdose prevention program 0.490321 drug overdose deaths 0.684491 overdose prevention interventions 0.31792 Harm Reduction Coalition 0.245327 drug overdose death 0.646641 opioid analgesic prescriptions 0.24508 unreported overdose reversals 0.312431 potential overdose witnesses 0.283004 unintentional drug overdose 0.386474 overdose rescue kit 0.288925 highest drug overdose 0.314459 prescription opioid medications 0.236009 naloxone 0.451716 drug overdose prevention 0.370348 abuse treatment programs 0.22229 opioid overdose programs 0.431742 opioid overdose mortality 0.42065	CLICK HERE
6868	Centers for Disease Control and Prevention	Html	en	Avian Influenza A (H5N1) Human Infection in Hong Kong	Avian Influenza A (H5N1) Human Infection in Hong Kong - CDC	human influenza 0.300556 important public health 0.254239 avian influenza 0.672399 Pandemic preparedness plans 0.252126 Hong Kong 0.426179 HPAI H5N1 0.795845 Strategic National Stockpile 0.264002 CHP DH 0.209499 highly pathogenic influenza 0.368134 new confirmed case 0.278545 live poultry market 0.259763 novel influenza viruses 0.391289 pathogenic avian influenza 0.443978 H5N1 virus strains 0.418437 close contact 0.258719	Hong Kong SAR 0.252785 laboratory testing techniques 0.239065 limited human-to-human transmission 0.251481 HPAI H5N1 viruses 0.6021 HPAI H5N1 infection 0.480528 World Health Organization 0.272144 influenza pandemic 0.312461 Communicable Diseases Watch 0.268106 endemic infection 0.233487 broadly protective vaccine 0.241384 influenza surveillance 0.276573 regular human infections 0.280684 U.S. Government CDC 0.263899 CDC avian flu 0.29718 human infection 0.445907	CLICK HERE
7635	Centers for Disease Control and Prevention	Html	en	Global Health - Kenya - Improving Emergency Preparedness & Response	Improving Emergency Preparedness & Response CDC-Kenya strengthens public health capacity to rapidly identify and contain infectious disease threats as well as respond to natural and man-made disasters.	international concern 0.638805 communication systems 0.64474 international spread 0.646049 ) Unit. 0.646981 Laboratory Training Program 0.719253 large-scale trauma 0.632817 control strategies 0.633915 comprehensive outbreak surveillance 0.779066 global regulations 0.629008 African Union Mission 0.716087 dangerous outbreaks 0.678091 increasingly globalized world 0.753604 humanitarian disasters 0.634614 World Health Organization 0.778024 CDC-Kenya 0.665648 public health emergencies 0.815567 Kenya Medical Research 0.737357 open reporting 0.626823 public health risks 0.775281 measure severe outcomes 0.699534 acute febrile illness 0.710788 public health response 0.804047 response efforts 0.628942 diagnostic support 0.707882 International Health Regulations 0.786548	outbreaks 0.680682 Health approach 0.64611 world more secure 0.630027 East Africa region 0.726017 U.S. government partners 0.721517 emergency medical services 0.760823 outbreak responses 0.664199 international borders 0.63768 non-governmental organizations 0.639035 public health threats 0.786816 technical assistance 0.736533 Rift Valley Fever 0.704989 public health 0.928956 disease threats 0.639716 integrated Zoonotic Disease 0.748513 future outbreaks 0.664702 Effective response 0.660202 international travel 0.6435 outbreak control plans 0.794022 emergency medical response 0.778627 environmental health experts 0.741814 zoonotic diseases 0.72721 refugee camps 0.746333 improved risk communication 0.759144	CLICK HERE
10963	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Defining Powerhouse Fruits and Vegetables: A Nutrient Density Approach - CDC	National nutrition guidelines emphasize consumption of powerhouse fruits and vegetables (PFV), foods most strongly associated with reduced chronic disease risk; yet efforts to define PFV are lacking. This study developed and validated a classification scheme defining PFV as foods providing, on average, 10% or more daily value per 100 kcal of 17 qualifying nutrients. Of 47 foods studied, 41 satisfied the powerhouse criterion and were more nutrient-dense than were non-PFV, providing preliminary evidence of the validity of the classification scheme. The proposed classification scheme is offered as a tool for nutrition education and dietary guidance.	powerhouse group 0.557659 classification scheme 0.93064 food guide pyramid 0.353391 energy density 0.316666 Agricultural Research Service 0.45585 powerhouse criterion 0.409219 foods 0.481509 food phytochemicals 0.326259 Guidelines Advisory Committee 0.433275 green leafy 0.458925 World Cancer Research 0.338737 nutrient density differences 0.566394 nutrient requirements 0.402561 cruciferous items 0.395802 nutrient density 0.931876 National nutrition guidelines 0.380042 score/energy density 0.313882 nutrient desirability 0.409028 nutrient adequacy score/energy 0.497379 percent daily values 0.468988 good sources 0.341103 nutrients 0.696695 chronic disease risk 0.625274 powerhouse message 0.321561	nutrient density scores 0.766605 powerhouse fruits 0.394343 nutrient content 0.426371 percent DVs 0.373948 heart disease 0.338784 nutrient adequacy score 0.595397 PFV 0.55298 beneficial nutrients PFV 0.506278 William Paterson University 0.331223 particular nutrient 0.422201 nutrient-dense items 0.37291 National Academies Press 0.333183 public health importance 0.350795 national nutrient database 0.453347 daily energy needs 0.34222 nutrient quality 0.406228 food 0.457573 Dietary Guidelines 0.372266 nutrient density score 0.608729 cruciferous food groups 0.392848 kcal/d diet 0.354261 Dietary Guidelines Advisory 0.341581 nutrient-dense foods 0.340851	CLICK HERE
11575	Centers for Disease Control and Prevention	Html	en	NER - Peer-Reviewed Biomonitoring Articles | Metals: Arsenic	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
11941	Centers for Disease Control and Prevention	Html	en	Considerations for Discharging Persons Under Investigation (PUI) for Ebola Virus Disease (Ebola)	null	concur 0.350384 Ebola virus infection 0.707898 fever 0.340672 example 0.336112 Ebola virus 0.805055 21-day period 0.495838 antipyretics 0.368098 state health departments 0.627222 clinical laboratory results 0.646274 place 0.333019 vomiting 0.349676 illness 0.340424 RT-PCR test result 0.650826	PUI 0.925111 alternative diagnosis 0.48904 onset 0.344963 Ebola virus exposures 0.709764 medical care 0.476669 diarrhea 0.349156 blood 0.332166 symptoms 0.419414 EVD 0.441549 clinical judgment 0.519993 medical team 0.509063 active monitoring 0.614075 alternative explanation 0.493886	CLICK HERE
12977	Centers for Disease Control and Prevention	Html	en	CDC Study Shows Updated Overseas TB Screening Guidelines Identify More Cases	A CDC study published today shows that because of new screening guidelines issued in 2007, physicians overseas identified 629 additional cases of tuberculosis (TB) in 2012 among immigrants and refugees bound for the United States.	treatment 0.225294 foreign-born persons 0.339775 refugees 0.435336 United States 0.842738 arrivals 0.228725 sensitive tests 0.358978 previous screening requirements 0.512769 effort 0.224895 CDC study 0.360052 accompanying video 0.352559 early 1900s 0.347434 http://www.cdc.gov/immigrantrefugeehealth/index.html(http://www.cdc.gov/immigrantrefugeehealth/index.html 0.224428 physicians 0.259211 shows 0.229761 Culture-Based Screening Algorithm 0.564812 overseas screening guidelines 0.524055 U.S. DEPARTMENT 0.327633 roughly one-third decrease 0.451571 U.S. TB control 0.607945 additional cases 0.480076 immigrants 0.435661 immigration 0.224491	period 0.224247 Refugees Bound 0.394666 TB screening 0.565846 U.S.-bound immigrants 0.380806 testing 0.224475 TB cases 0.518291 Internal Medicine 0.345039 countries 0.254361 Annals 0.229179 successful interventions 0.347865 people 0.246309 TB 0.656749 article 0.226703 Tuberculosis Incidence 0.366589 medical examination 0.339316 visa 0.226069 new screening guidelines 0.592441 screening guidelines 0.909584 sputum culture test 0.453097 HUMAN SERVICES 0.332599 information 0.224507 Effect 0.224287	CLICK HERE
16048	Centers for Disease Control and Prevention	Html	en	GIS Exchange|Map Details - Diabetes Hospitalizations and Access to Health Care Services	GIS Exchange	additional challenge 0.284948 Diabetes hospital morbidity 0.396464 Public Health District 0.424094 Waycross Public Health 0.443511 Arc Map 0.20656 GIS Exchange http://www.cdc.gov/dhdsp/maps/gisx/mapgallery/GA_Waycross.html 0.259107 diabetes resources 0.418764 Services Administration 0.204878 diabetes patients 0.420739 Health Resources 0.230103 Diabetes Educators 0.31446 census tract level 0.298472 health care resources 0.441349	poverty level 0.396781 health care services 0.941623 type ii diabetes 0.500445 general areas 0.298579 Georgia Hospital Discharge 0.280252 additional resources 0.285623 Diabetes Self-Management Education 0.401392 Health Care Centers 0.313852 Map Gallery 0.221913 Poverty Level Hospitalized 0.299524 census tract 0.393165 American Diabetes Association 0.392092 Georgia Department 0.266124	CLICK HERE