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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
4566	Centers for Disease Control and Prevention	Html	en	CDC H1N1 Flu | Revised Recommendations for the Use of Influenza Antiviral Drugs	null	ill individuals 0.381077 personnel wearing facemasks 0.397585 patient care settings 0.426208 N-95 respirators 0.46812 e.g. bronchoscopy suites 0.439895 fit-tested N-95 respirators 0.461682 potentially ill patients 0.380745 elastomeric respirators 0.43135 respiratory protection practices 0.419078 personal protective equipment 0.519954 patients 0.416342 disposable N95 respirator 0.53443 infection control experts 0.511819 healthcare facilities 0.623773 patient care 0.459888 respirator use mode 0.461942 exposure risk activities 0.389164 worker health risk 0.386984 exposure 0.428302 high risk 0.387642 hand hygiene 0.424618 aerosol-generating procedures 0.670726 facepiece respirators 0.498334 healthcare personnel 0.852978 comprehensive respiratory protection 0.397704	re-use 0.385094 respirator supplies 0.420699 disposable N95 respirators 0.9645 patient encounters 0.449785 precise balance 0.423371 infection control 0.624685 Infection Control Measures 0.500586 interim guidance 0.463578 respiratory protection.  Prioritization 0.397924 mucous membranes 0.430646 h1n1 influenza 0.590368 respiratory protection 0.805449 disposable respirators 0.496541 serial patient encounters 0.444884 H1N1 influenza exposure 0.411094 infection control principles 0.394584 protective measures 0.3842 respirator contamination 0.428743 contact transmission 0.60965 respiratory protection equipment 0.419032 air-purifying respirator 0.415198 administrative controls 0.413854 healthcare settings 0.496837 respirator shortages 0.458645	CLICK HERE
6398	Centers for Disease Control and Prevention	Html	en	Notifiable Diseases and Mortality Tables - November 18, 2011	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.	provisional 4-week totals 0.631734 Mortality Tables 0.487178 equine encephalitis virus 0.556367 Mortality Weekly Report 0.486032 Viral hemorrhagic fever¶¶¶ 0.477046 provisional cases 0.591209 Hantavirus pulmonary syndrome§ 0.480233 Staphylococcus aureus§ 0.487665 New York City 0.470414 acute hepatitis 0.49718 2011-12 influenza season 0.483721 Cum 0.476086 noncholera Vibrio species 0.477926 influenza A virus 0.485532 National Center 0.539351 CDC Home CDC 0.489693 Hemolytic uremic syndrome 0.48088 California serogroup virus 0.498575 meningococcal disease 0.547308 historical data 0.514483 Influenza Division 0.474959 Ñ?ЛП Notifiable Diseases 0.514704 Cumulative year-to-date counts 0.475218 2009 pandemic 0.50401	Respiratory Diseases 0.4723 NN 0.957528 United States 0.720359 Vancomycin-resistant Staphylococcus aureus§ 0.475977 novel influenza 0.520942 I. Provisional cases 0.50753 5-year weekly average† 0.491061 notifiable diseases 0.671794 Vancomycin-intermediate Staphylococcus aureus§ 0.475792 Eastern equine encephalitis 0.486671 pandemic influenza 0.506859 Influenza-associated pediatric mortality§ 0.476544 viral hemorrhagic fever 0.471664 Western equine encephalitis 0.486299 Polio virus Infection 0.479856 Total case counts 0.471801 notifiable disease reports 0.620891 current 4-week total 0.486984 Vector-Borne Infectious Diseases 0.478585 Chlamydia trachomatis infection 0.471163 TABLE I. 0.487646 dengue hemorrhagic fever 0.473445 subsequent 4-week periods 0.482172 West Nile virus 0.477749	CLICK HERE
6840	Centers for Disease Control and Prevention	Html	en	Fungal Meningitis	Fungal Meningitis causes, risk factors, transmission, symptoms, diagnosis, treatment, and prevention	specific cause 0.355434 Premature babies 0.347801 specific lab tests 0.385247 surgical procedures 0.349685 fungal infection 0.508215 Southwestern United States 0.386492 pregnant women 0.347601 Disease Control 0.351733 organ transplantation 0.348691 immune systems 0.573679 bird droppings 0.351575 increased risk 0.349687 anti-TNF medications 0.369894 Meningitis micótica 0.517907 fungus spreads 0.373688 rheumatoid arthritis 0.350556 Certain diseases 0.348118 New England Compounding 0.395292 certain areas 0.347357 weak immune systems 0.570712 adult meningitis 0.500017 fungal meningitis 0.982041 multistate outbreak 0.402383 low birth weights 0.389967 small pieces 0.350585	United States 0.43095 HIV-infected people 0.354094 Different types 0.35146 African Americans 0.346398 dose antifungal medications 0.400238 Drug Administration 0.352402 autoimmune conditions 0.35105 blood stream infection 0.412018 Midwestern United States 0.387627 fungus 0.398399 Meningitis results 0.488071 spinal cord 0.573698 local health departments 0.393678 common cause 0.36632 hospital setting 0.349121 fungal lung infections 0.48368 Coccidiodes infection 0.371443 people 0.354779 MPA steroid injections 0.398716 bat droppings 0.352808 common causes 0.352721 valley fever 0.346781 treatment depend 0.3482 fungal spores 0.447244	CLICK HERE
7956	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | A Meta-Analysis of Health Status, Health Behaviors, and Healthcare Utilization Outcomes of the Chronic Disease Self-Management Program - CDC	The Chronic Disease Self-Management Program (CDSMP) is a community-based self-management education program designed to help participants gain confidence (self-efficacy) and skills to better manage their chronic conditions; it has been implemented worldwide. The objective of this meta-analysis was to quantitatively synthesize the results of CDSMP studies conducted in English-speaking countries to determine the program’s effects on health behaviors, physical and psychological health status, and health care utilization at 4 to 6 months and 9 to 12 months after baseline.	CDSMP studies 0.519013 small significant improvements 0.503707 small English-speaking group 0.858335 eligible studies 0.487478 English-speaking group mode 0.49464 outcomes 0.503831 self-rated health 0.540795 self-efficacy 0.486282 moderate improvements 0.501321 small Spanish-speaking group 0.496785 chronic disease management 0.535138 comprehensive chronic disease 0.497937 self-management education program 0.497646 health behaviors 0.614197 longitudinal evaluations 0.504957 health care services 0.492066 small significant effect 0.487087 indicated significant heterogeneity 0.4922 study design 0.514482 disease self-management program 0.538335 chronic disease 0.752885 physical health outcomes 0.491263 effect size 0.550508 health benefits 0.489058 Negative effect size 0.491967	health care utilization 0.959187 study 0.547261 English-speaking group delivery 0.494106 health distress 0.535293 United States 0.49397 English-speaking countries 0.486169 significant improvements 0.532984 chronic health conditions 0.507361 small Spanish-speaking groups 0.493085 small-group CDSMP studies 0.484711 psychological health status 0.626222 delivery modes 0.652967 cognitive symptom management 0.616675 studies 0.741021 aerobic exercise 0.517881 chronic disease self-management 0.660027 physical health status 0.524532 CDSMP 0.579385 chronic diseases 0.511388 small English-speaking groups 0.685445 alternative delivery modes 0.56515 English-speaking group studies 0.527624 chronic conditions 0.487212 delivery mode 0.671738	CLICK HERE
8295	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | A Qualitative Study ofPerceived Barriers to Fruit and Vegetable Consumption AmongLow-Income Populations, North Carolina, 2011 - CDC	Obesity is the leading preventable cause of illness and a major contributor to chronic disease. Eating fresh fruits and vegetables can help manage and prevent weight gain and reduce the risk of chronic diseases. Low-income communities often lack stores that sell fresh fruit and vegetables and have instead stores that sell foods low in nutritional value. The objective of this study was to understand perceived community-level barriers to fruit and vegetable consumption among low-income people.	North Carolina 0.645435 high-quality fruits 0.484478 vegetable consumption 0.720494 low-income neighborhoods 0.467256 high school education 0.440995 low-income North Carolinians 0.55367 fresh vegetables 0.461674 community-level barriers 0.483284 Supplemental Nutrition Assistance 0.439512 fewer fruits 0.419459 grocery stores 0.439695 grocery store 0.436091 Focus group sessions 0.447658 fresh fruits 0.785044 fast food restaurants 0.535557 government assistance program 0.442588 Latina focus group 0.668825 low-income communities 0.496385 women 0.43719 access 0.444915 United States 0.45148 quality fresh fruits 0.47164 Focus group discussions 0.447459 Nutr Educ Behav 0.428361 vegetables 0.931015	societal norms 0.605887 low-income people 0.596256 individual-level barriers 0.424316 fruits 0.822488 Public Health Nutr 0.437975 focus groups 0.964589 Nutrition Assistance Program 0.441265 participants 0.585755 food environment 0.62342 low-income food deserts 0.443642 median annual household 0.445329 Durham focus group 0.439679 annual household income 0.548446 focus group guide 0.448004 focus group participants 0.538081 black male 0.435712 Chapel Hill 0.448287 food access 0.432533 black female 0.560631 major community-level barriers 0.468201 barriers 0.494913 North Carolina counties 0.448499 focus group 0.938147 low-income participants 0.468986	CLICK HERE
8456	Centers for Disease Control and Prevention	Html	en	Smoking and Heart Disease and Stroke - Diseases & Conditions - Tips - Smoking & Tobacco Use	The Tips From Former Smokers campaign features real people suffering as a result of smoking and exposure to secondhand smoke.	coronary artery disease 0.621607 Tobacco Smoke 0.513732 Million Hearts® initiative 0.491187 Human Services 0.852384 organ donation 0.538859 U.S. Department 0.847524 Health Promotion 0.583061 Disease Control 0.762755 secondhand smoke 0.908143 breathing secondhand smoke 0.732396 heart conditions 0.495866 blood flow 0.521433 heart problems 0.478595 National Center 0.585659 National Heart 0.482746 heart failure 0.525556 blood pressure 0.497491 products.9,11,12  Secondhand smoke 0.56156 heart muscle 0.493014 Tips® campaign participants 0.493545 blood vessels 0.645784 CVD.9 Smoking 0.492479 smoking quiz 0.480037 American Heart Association 0.52619 Nov 0.565041	Research Triangle Park 0.489701 heart transplant 0.516746 heart health 0.510125 Centers 0.488969 blood vessel 0.509687 heart attacks 0.484782 heart attack 0.78328 United States 0.577315 National Toxicology Program 0.489059 health consequences 0.604921 heart disease 0.936678 smoking 0.606014 Air Force veteran 0.487844 precious gift—a heart 0.524591 U.S. National Library 0.50152 Smoke Causes Disease 0.539871 secondhand smoke exposure 0.622638 health 0.725176 deadly heart attack 0.535006 stroke 0.554518 Chronic Disease Prevention 0.724333 Surgeon General 0.595778 Public Health Service 0.513537 coronary heart disease 0.87088	CLICK HERE
9272	Centers for Disease Control and Prevention	Html	es	Preventing Chronic Disease - CDC: Volume 10, 2013: 12_0270	Volumen 10 — el 30 de mayo de 2013.	comunidad métodos 0.899312 observaciones soparc 0.935792	Estados Unidos 0.771152	CLICK HERE
11301	Centers for Disease Control and Prevention	Html	en	Disease Detective: Kelsey - CDC Responds to the 2014 Ebola Outbreak	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.	community workers 0.575719 Ebola symptoms 0.721612 frightened local residents 0.755979 boatmen 0.444208 coffee plant 0.560338 Ebola outbreak 0.792949 symbolic gift 0.555264 remote area 0.599912 largely uneducated workers 0.73455 different backgrounds 0.559447 crazy time 0.586527 Crammed 0.452615 CDC training 0.58011 muddy stream 0.576816 fragile public health 0.71695 West African nations 0.729189 person 0.526597 community health workers 0.980757 Ebola patients 0.730973 village leaders 0.575352 Ebola 0.955242 nerve wracking 0.600085 small hotel 0.585146 Guinea 0.508355 post-natal care 0.57616	Kelsey 0.799407 Sierra Leone 0.578544 treatment center 0.561743 important key 0.569044 CDC disease detective 0.763551 important health messages 0.71889 awful hemorrhagic fever 0.749355 Sierra Leonean 0.575334 dirt runway 0.595205 epicenter 0.442322 tiny plane 0.595043 official language 0.57249 worst roads 0.590193 narrow river 0.575338 three-hour drive 0.616093 pickup truck 0.60022 landing path 0.594922 people 0.632365 healthcare resources 0.570275 international aid workers 0.749511 grateful village chief 0.688616 local language 0.568438 area villages 0.574212 suspected patient 0.566466	CLICK HERE
13064	Centers for Disease Control and Prevention	Html	en	National Public Health Week 2016	Social Media Tools for CDC.	Public Health Association 0.733923 Healthiest Nation 0.43899 NPHW facts 0.403065 CDC 0.252311 partnership 0.242073 goal 0.235203 code 0.232161 00PM ET 0.437228 National Public Health 0.907804 button 0.243006 Public Health Nerd 0.555207	Generation 0.234903 U.S. 0.235083 healthier nation 0.394492 Copy 0.23752 support 0.260831 annual National Public 0.515443 conversation 0.240967 American Public Health 0.734379 NPWH Twitter Chat 0.684257 Health Week Twitter 0.460676	CLICK HERE
15250	Centers for Disease Control and Prevention	Html	en	Solve Foodborne Outbreaks | CDC Features	Did you know you can help disease detectives detect and solve foodborne disease outbreaks? Learn some ways you can help protect others from getting sick.	disease detectives 0.510553 Escherichia coli 0.381081 health care provider 0.523997 blood tests 0.368476 outbreak investigation 0.393215 common types 0.375857 U.S. Department 0.368517 similar outbreaks 0.416355 case-control study 0.364999 similar symptoms 0.367248 environmental testing information 0.435825 health department officials 0.430069 Health care providers 0.437798 foodborne illnesses 0.499283 foodborne disease outbreaks 0.934123 sick people 0.487737 public health officials 0.422586 short time 0.378563 healthy people 0.375366 important role 0.371722 foodborne illness 0.512102 state public health 0.436604 shopper card information 0.422292 medical conditions 0.380215	Health departments 0.379245 special events 0.36863 Disease Detective Investigations 0.423327 harmful germs 0.394454 Drug Administration 0.365952 outbreak investigations 0.448519 foodborne germs 0.439586 food diary 0.390774 local health department 0.532946 food receipts 0.482606 state health department 0.628919 foodborne disease detectives 0.495071 shopper card programs 0.536465 original packaging 0.364996 public health 0.474381 food poisoning 0.640482 food regulatory laboratories 0.442861 health department website 0.444826 health official contacts 0.43274 health department 0.643934 food eaten 0.390835 common source 0.370341 people 0.52467 epidemiologic study 0.364956	CLICK HERE