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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
969	Centers for Disease Control and Prevention	Html	en	Prevalence of Influenza-Like Illness and Seasonal andPandemic H1N1 Influenza Vaccination Coverage Among Workers - UnitedStates, 2009-10 Influenza Season	Sara E. Luckhaupt, MD1, Geoffrey M. Calvert, MD1, Jia Li, MS1, Marie Sweeney, PhD1, Tammy A.	influenza vaccination coverage 0.826807 pH1N1 influenza vaccine 0.522467 ILI 0.592492 novel influenza 0.480178 comprehensive influenza prevention 0.472145 highest prevalence 0.441804 influenza vaccination programs 0.586747 influenza-like illness 0.440068 industry groups 0.416081 pH1N1 influenza vaccination 0.742176 seasonal influenza vaccination 0.555707 highest pH1N1 vaccination 0.454197 vaccination coverage 0.955325 prevalence 0.524357 occupation groups 0.48491 pandemic H1N1 influenza 0.485615 relatively low prevalence 0.421578 vaccination status 0.531495 ILI prevalence 0.506541 social services 0.451643 workplace influenza vaccination 0.529266 significantly higher APRs 0.418775 seasonal influenza vaccine 0.556226 similar pH1N1 vaccination 0.451292	workers 0.468421 Food preparation 0.444925 sickle cell anemia 0.474147 relatively low vaccination 0.446794 influenza vaccine 0.585161 influenza season 0.557209 ILI symptoms 0.424137 personal protective equipment 0.489896 seasonal influenza 0.61592 influenza pandemic 0.543131 chronic medical conditions 0.467321 pandemic influenza virus 0.520982 groups 0.525348 relatively high prevalence 0.524283 vaccination coverage data 0.471011 influenza vaccination 0.853136 chronic illness 0.455466 food services 0.437625 pandemic influenza infection 0.527803 high prevalence rates 0.516832 risk 0.417882 pH1N1 vaccination coverage 0.675528 unemployed adults 0.505484	CLICK HERE
6930	Centers for Disease Control and Prevention	Html	en	CDC in Georgia - CDC Global Health	CDC has a strong relationship with the country of Georgia. Partnering with Georgia’s National Center for Disease Control and Public Health (NCDC) and other ministries, CDC helps develop institutional capacity to detect and respond to disease outbreaks.	country 0.542263 CDC 0.880366 endorsement 0.557425 Hospital-acquired infections 0.769047 E.coli 0.564952 extremely dangerous pathogens 0.965239 health risk areas 0.956719 issues 0.537059 Armenia 0.546922 Georgia’s National 0.76984 harmful type 0.73452 Disease Control 0.758516 chilling phrases 0.743593 Notice 0.538676 epidemiologic capacity 0.7875 laboratory training 0.730325 Download Overview Fact 0.935791 HAIs 0.573708 development 0.538742 enteric diseases 0.76685 AMR 0.557644 ongoing technical assistance 0.943413 reproductive health 0.753028 botulism 0.56258	outbreaks 0.630802 Health Security Agenda 0.909213 animal health sectors 0.941175 bacterium 0.549896 Public Health 0.775504 ministries 0.541548 NCDC 0.670956 Content source 0.727248 everyday language 0.718148 epidemiology 0.543397 HHS 0.562342 variety 0.538556 SC/FELTP 0.537225 SC-FELTP outbreak investigations 0.963342 human 0.537485 Center 0.541785 specialists 0.537522 strong relationship 0.760155 Azerbaijan 0.55097 non-federal site 0.748947 institutional capacity 0.774741 important element 0.712449 Antimicrobial resistance 0.747214 Sheet 0.537853	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
9375	Centers for Disease Control and Prevention	Html	es	Intervención de mapeo como guía para el desarrollo de un programa contra la diabetes de apoyo entre compañeros en la zona rural de Alabama	CDC - Wide Page example description goes here	Halanych JH 0.455825 Hayes M 0.411781 rural alabama 0.458526 Wright MA 0.424646 Appel SJ 0.476276 Martin MY 0.430916 Cherrington A 0.422779	salud pública 0.754982 estrategia promisoria 0.408684 Chronic Dis 0.45994 support intervention 0.574749 asesores pares 0.966311 Cordón negro 0.909181	CLICK HERE
9842	Centers for Disease Control and Prevention	Html	null	Tratamiento - Medicamentos antivirales	Acerca de los medicamentos antivirales para el público en general - CDC			CLICK HERE
10951	Centers for Disease Control and Prevention	Html	en	Ovarian Cancer Prevention	There is no known way to prevent ovarian cancer. But there are few things that may lower a woman's chance of getting ovarian cancer.	cervix 0.292945 risk factors 0.448414 everybody 0.273135 ovaries 0.259616 ovarian cancer 0.966389 hysterectomy 0.282126 modestly reduced risk 0.744152 Breastfeeding. 0.256919 ovarian cancer— 0.671032 Talk 0.255164 birth control pills 0.775032	known way 0.540616 tubal ligation 0.56538 lower chance 0.572975 doctor 0.25504 uterus 0.293913 risks 0.262465 tubes 0.265817 things 0.32393 studies 0.256839 operation 0.259286	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
10972	Centers for Disease Control and Prevention	Html	en	Pandemic Flu Storybook: Charles Andrew Didio	War Stories, The first cases of illness from the 1918 flu pandemic in the United States were reported from Fort Riley, Kansas on March 11 when an Army private became ill; complaining of fever, sore throat, and headache. Military personnel were greatly impacted by the virus and many young recruits were dead from the flu before they ever saw combat.	younger sisters Lucy 0.690819 Carlandrea Didio 0.470513 United States 0.473362 paternal Great Grandfather 0.763486 document 0.241249 physical examination 0.440585 War 0.242369 Josephine’s birth 0.492346 Iron 0.243972 Villamaina 0.246624 World 0.242383 grandfather Frank 0.500236 Steve Didio 0.492424 New York City 0.95877 Pennsylvania area 0.455807 pneumonia 0.251814 great-grandfather chose 0.517302 Storyteller 0.255875 Stories 0.243633	future descendants 0.439391 immigrants 0.254171 wife Louisa 0.755923 family members 0.452358 maximum application 0.440398 Charles Andrew Didio 0.688819 influenza pandemic 0.474842 work 0.244086 electric furnace repairman 0.715209 young wife Louisa 0.735029 draft registration application 0.658224 death certificate 0.67246 size 0.244887 Easton 0.249024 Italy 0.246595 Steel Company 0.460007 true birthdate 0.468758 time 0.245664 age 0.30557	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
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