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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
7620	Centers for Disease Control and Prevention	Html	en	Global Health - Kenya - Blog: Putting Nomadic Pastoralists on the Map	null	existing data sources 0.477779 census data 0.595299 pastoralist movement 0.408136 civil conflict figure 0.459282 routine services 0.41097 Global Immunization Division 0.522556 clinical services 0.408893 culturally familiar context 0.485946 health care providers 0.845629 health care access 0.532328 previously unrecorded locations 0.473307 health care services 0.696649 health facilities 0.446397 mobile groups 0.409157 polio cases 0.436477 U.S. CDC-Kenya Office 0.521608 Google Earth imagery 0.462723 nomadic pastoralists 0.627251 polio surveillance 0.430005 Mobile populations 0.41152 urgent health needs 0.542706 Lab Training Program 0.510338 smaller livestock 0.4116 human health providers 0.527118 northern Nigeria 0.553467	Nigeria Field Epidemiology 0.561963 nomadic groups 0.449644 pastoralist children 0.419023 grazing area 0.407524 sedentary populations 0.408977 Health care systems 0.572041 pastoralist districts 0.411192 Nomads Project 0.414115 polio immunization coverage 0.528422 nomadic pastoralist tribes 0.555785 Kenyan agricultural expert 0.469366 traditional nomadic routes 0.536573 health care 0.980386 recurrent seasonal migration 0.478801 District Production Livestock 0.478368 health education opportunities 0.521829 KENYA BLOG 0.462695 polio virus 0.439399 veterinary health providers 0.527543 NGO partners 0.408455 grazing areas 0.498164 Dr. Chris Ajele 0.469022 public health challenge 0.523774 bilateral government 0.408139	CLICK HERE
8670	Centers for Disease Control and Prevention	Html	en	Cancer Prevention Among Youth	CDC's Division of Cancer Prevention and Control sponsored a supplemental issue of the Journal of Adolescent Health about ways to prevent cancer, with a focus on youth.	high school 0.48101 Biro FM 0.446708 Malarcher A. Pro-tobacco 0.479168 Journal 0.543743 intentional tanning 0.440106 -related cancer 0.459882 Southwell B. 0.440312 Deardorff J. Identifying 0.482109 Mahabir S. Association 0.48253 adolescent risk factors 0.574662 Rodriguez JL 0.497118 Dube SR 0.443652 Adolescent Health 0.929643 benign breast disease 0.47635 cervical cancer 0.455657 Arrazola RA 0.441641 Watson M. Correlates 0.478195 human papillomavirus 0.508114 adolescence 0.446329 Thomas TL 0.440953 human papillomavirus vaccine 0.483663 5S 0.685859 multi-method pilot study 0.475223 White MC 0.490503 cancer prevention 0.704455	HPV vaccination 0.442543 social changes 0.44921 United States 0.441033 Edelstein ZR 0.445412 Fried LP 0.441955 Yang GJ 0.440155 Peskin MF 0.441425 Jackson JM 0.440057 Bushkin-Bedient S. Exposure 0.478984 different professions 0.448419 Adolescent risk-taking 0.538416 adolescent indoor tanning 0.559115 breast cancer 0.457946 supplemental issue 0.448874 unique opportunities 0.449306 Applegate KE 0.441052 systematic review 0.440178 certain exposures 0.447122 Holman DM 0.4949 cancer risk 0.461601 M. An opportunity 0.440578 Cost NG 0.439942 high school girls 0.473143 Santelli JS 0.446163	CLICK HERE
8903	Centers for Disease Control and Prevention	Html	en	Malaria - About Malaria - FAQs	Frequently asked questions about malaria, disease, transmission, symptoms, diagnosis, treatment, complications with pregnancy, prevention, eradication and endemic areas.	red blood cells 0.390702 malaria medicines 0.494516 professional medical care 0.355949 contracting malaria 0.493517 Page 0.399529 effective antimalarial drugs 0.366575 effective malaria vaccine 0.505889 antimalarial drugs chloroquine 0.358928 Plasmodium falciparum 0.357673 malaria parasite 0.553795 antimalarial drugs 0.490421 P. falciparum 0.339014 good antimalarial drugs 0.359432 malaria infection 0.504473 malaria drugs 0.56295 flu-like illness 0.354 area 0.346392 Malaria self-treatment 0.476341 countries 0.346836 microscopic malaria parasites 0.537481 Africa south 0.345101 effective malaria treatment 0.491815 malaria attacks 0.473723 P. ovale 0.378287 malaria parasites 0.642919	malaria treatment medicines 0.488916 antimalarial drug Malarone 0.348517 malaria causes 0.516926 United States 0.508077 malaria exists 0.477573 malaria 0.906829 malaria preventive drugs 0.502806 previous blood meal 0.338326 P. vivax 0.369454 No. Malaria 0.503669 solid malaria control 0.49259 transfusion-transmitted malaria 0.479843 effective malaria 0.514094 blood transfusion 0.337891 principal malaria mosquito 0.496796 malaria treatment medication 0.489894 disease 0.365987 breast milk 0.35484 malaria immunity 0.493244 people 0.366376 infected person 0.346204 health-care provider 0.44702 malaria transmission 0.769011 antimalarial drug 0.397215	CLICK HERE
9629	Centers for Disease Control and Prevention	Html	en	Asthma - BRFSS 2008 - Table C6 Current Asthma Prevalence Rate (Percent) and Prevalence (Number) by Education and State or Territory	BRFSS 2008 - Table C6 Current Asthma Prevalence Rate (Percent) and Prevalence (Number) by Education and State or Territory	Total** HS Grad 0.772752 U.S. Total** HS 0.980941	Total** HS Nongrad 0.801342	CLICK HERE
10825	Centers for Disease Control and Prevention	Html	en	Health, United States, 2013 includes special section on prescription drugs	CDC announces second imported case of Middle East Respiratory Syndrome (MERS) in the United States	key health measures 0.461017 insurance coverage 0.382864 high cholesterol 0.404893 commonly used classes 0.470258 Disease Control 0.396567 prescription drugs 0.975827 private sector. 0.38116 federal government 0.378979 commonly used prescription 0.66662 Americans 0.334578 cholesterol-lowering drug 0.424065 reproductive health 0.39346 health expenditures 0.397515 life expectancy 0.384328 medical visits 0.388846 statin drugs 0.472277 private sector 0.39105 prescription drugs.  Key 0.54256 birth rates 0.383239 blood thinners 0.391139 Drug poisoning deaths 0.453473 health care utilization 0.462962 United States 0.485772 37th annual report 0.480251 age group 0.387238	adults 0.46668 common prescription drugs 0.653739 kidney disease 0.391421 percent 0.523518 Cardiovascular agents 0.403956 federal health agencies 0.490054 Health Statistics. 0.41248 heart disease 0.393165 U.S. DEPARTMENT 0.383604 comprehensive report 0.406267 cardiovascular disease 0.414622 health risk behaviors 0.463139 cold symptoms 0.390972 health data 0.412318 retail prescription drugs 0.582758 cardiovascular agent 0.485006 opioid analgesics 0.413377 annual growth 0.382546 antidepressants 0.341811 special section 0.396767 high blood pressure 0.467424 Prevention’s National 0.397877 Human Services 0.481474 past decade 0.387914	CLICK HERE
10865	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Impact of Data Editing Methods on Estimates of Smoking Prevalence, Global Youth Tobacco Survey, 2007–2009 - CDC	Accuracy of self-reported data may be improved by data editing, a mechanism to produce accurate information by excluding inconsistent data based on a set number of predetermined decision rules. We compared data editing methods in the Global Youth Tobacco Survey (GYTS) with other editing approaches and evaluated the effects of these on smoking prevalence estimates.	logic checks 0.538825 Data Edit ApproachDescription 0.453315 data 0.903478 inconsistent responses 0.731199 global approach 0.567732 GYTS data editing 0.524597 questions 0.453202 relative SE 0.479013 PreponderanceCurrent cigarette smoking 0.461479 weighted point estimates 0.532833 Disease Control 0.482697 Youth Tobacco Survey 0.796816 GYTS data 0.728056 preponderance approach 0.740352 GYTS data edits 0.625406 higher estimates 0.603761 current cigarette smoking 0.461489 estimates 0.824971 Global Tobacco Control 0.51339 data editing approaches 0.613601 cross-study comparability 0.526908 Herbst K. Data 0.4625 similar estimates 0.544107 data editing approach 0.569839 cigarette use status 0.471339	current cigarette 0.520451 preponderance approaches 0.484919 subsequent inconsistent responses 0.461771 2-stage cluster sample 0.574311 Self-reported cigarette smoking 0.489861 cigarette smoking status 0.796421 gatekeeper approaches 0.590335 decision rules 0.511736 sex groups 0.456627 data editing method 0.60671 cigarette smoking 0.808719 GYTS 0.76104 Saudi Arabia 0.728458 self-administered school-based survey 0.452659 smoking prevalence estimates 0.573688 Tobacco Control Branch 0.514881 data editing methods 0.692673 Global Youth Tobacco 0.65752 inconsistent data 0.623082 GYTS estimates 0.5431 point estimates 0.623501 Chronic Disease Prevention 0.516448 overall estimates 0.464747 data editing 0.874155	CLICK HERE
11445	Centers for Disease Control and Prevention	Html	en	MMWR News Synopsis: September 4, 2014 | CDC Media Relations | CDC	MMWR – Morbidity and Mortality Weekly Report CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	smoke causes 0.496063 Administered 0.419267 SIDS 0.421945 half 0.415994 United States 0.492634 laboratory workers 0.547363 nonsmoking adults 0.506082 respiratory problems 0.49659 smoke-free rules 0.604658 concern 0.418593 children 0.415916 Considerable progress 0.504553 U.S. DEPARTMENT 0.48915 HEALTH 0.41552 deaths 0.419192 laboratory biosafety recommendations 0.702489 U.S. homes 0.508116	current laboratory biosafety 0.583778 period 0.417615 adult smokers 0.52897 Reports 0.415779 Expired 0.422007 Exposure 0.416836 cigarette smokers 0.534801 U.S. households 0.547198 smoke-free home rules 0.98217 Anita Gore 0.503907 nonsmokers 0.426793 cdph.ca.gov 0.416806 HUMAN SERVICES 0.491488 decades 0.419563 CDC Media Relations 0.608731 Attenuated Influenza Vaccine 0.589093 national percentage 0.636924	CLICK HERE
12771	Centers for Disease Control and Prevention	Html	en	Q&A’s about the Transport of Pediatric Patients (< 18years of age) Under Investigation or with Confirmed Ebola | EbolaHemorrhagic Fever | CDC	null	CDC’s Waste 0.623798 group best-practice recommendations 0.585995 child restraint 0.569156 car seat 0.836692 durable medical equipment 0.802274 hospital-based transport teams 0.69977 PPE 0.594361 pediatric care 0.573335 agency’s car 0.523824 isolation transport units 0.670099 pediatric PUI 0.721566 pediatric transport 0.910713 appropriate CDC guidance 0.601945 waste management guidelines 0.791863 pediatric patients 0.689674 emergency medical services 0.793669 EMS agency 0.670221 Medical transport agencies 0.691203 ill child 0.539961 individual emergency 0.528715 standard ambulance cot 0.598345 medical equipment suppliers 0.650822 emergency ground ambulances 0.591916 Traffic Safety Administration 0.578811	medical services providers 0.647673 EMS transfer 0.572233 emergency medical technicians 0.649367 responder agencies 0.523762 personal protective equipment 0.784734 legal guardian 0.615058 law enforcement agencies 0.651939 safe pediatric transport 0.751373 EMS agencies 0.770674 EMS provider 0.563452 body fluids 0.678782 EMS units 0.572323 safe transport 0.640874 EMS systems 0.599825 Public Safety Answering 0.624429 transport vehicle 0.562452 decontamination team 0.538756 service agencies 0.548261 pediatric isolation transport 0.895478 advanced life support 0.598222 alternative adult caregiver 0.667556 equipment decontamination plan 0.668355 child 0.712897	CLICK HERE
13996	Centers for Disease Control and Prevention	Html	en	Antibiotic Resistant Gonorrhea	Antibiotic-Resistant Gonorrhea - STD information from CDC. Fact Sheets, Statistics, Treatment Guidelines, Resources for Clinicians and Educators.	nation 0.416557 antimicrobial-resistant gonorrhea 0.657371 Healthcare Providers 0.498872 core actions 0.491174 antibiotic options 0.595908 navigation Skip 0.581168 research 0.417388 AR Investment Map 0.595489 Profiles 0.416883 AMD 0.418659 Antibiotic Resistance Solutions 0.74133 key investments 0.499912 Gonococcal Isolate Surveillance 0.870094 GISP 0.431375 development 0.417374 list Skip 0.584612 page options Skip 0.681676 Sites 0.415945 Neisseria gonorrhoeae 0.64473 antibiotic drugs 0.614026 gonococcal fluoroquinolone resistance 0.795509 drug resistance 0.575355 Basic Information 0.507165 Genomic sequencing 0.498138	gonorrhea 0.775726 United States 0.565589 Advanced Molecular Detection 0.573663 urgent threat 0.503662 foundation 0.417982 STD Treatment Guidelines 0.580761 new treatment regimens 0.604921 Antimicrobial Susceptibility Surveillance 0.599459 interactive tool 0.502 NCHHSTP Director 0.500345 lab information 0.502775 antibiotic resistance 0.905991 Blog 0.416441 Antibiotic-Resistant Gonorrhea 0.683771 emergence 0.420183 First-line Antibiotics 0.526791 Data 0.417096 spread 0.416357 resistant gonorrhea 0.674756 cephalosporin antibiotics 0.53992 Gonococcal Infections 0.579174 cephalosporin-resistant gonorrhea 0.695489 CDC report 0.500229 Antibiotic Resistance Threats 0.731761	CLICK HERE
14046	Centers for Disease Control and Prevention	Html	en	E-cigarette Ads and Youth Infographics | VitalSigns	CDC Vital Signs - E-cigarette Ads and Youth	U.S. High School 0.520836 brain development 0.429714 TV/movies 0.267136 TV 0.2364 U.S. Middle School 0.52284 e-cigarette advertisements 0.56273 School Students Overall 0.530493 high proportion 0.409769 high school students 0.924476 U.S. Middle 0.656102	newspapers 0.242494 e-cigarette advertising expenditures 0.548301 Magazines/newspapers 0.266983 ADDICTION 0.242787 U.S. youths 0.394553 continued tobacco product 0.630421 magazines 0.237035 Internet 0.269418 e-cigarette contain NIOTINE 0.618334 corresponding increases 0.414243	CLICK HERE