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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
5663	Centers for Disease Control and Prevention	Html	en	o-Chlorostyrene - 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
6554	Centers for Disease Control and Prevention	Html	en	QuickStats: Percentage of Hospital Outpatient Department Visits in Which a Physician Assistant or Advance Practice Nurse* Was Seen - National Hospital Ambulatory Medical Care Survey, United States, 1999-2009	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.	mmwrq@cdc.gov. 0.497749 endorsement 0.447378 Alternate Text 0.486206 Human Services 0.563373 assistive technology 0.501459 U.S. Department 0.557209 MMWR HTML versions 0.554344 electronic PDF version 0.5465 percentage 0.415898 e-mail 0.429732 Contact GPO 0.503128 commercial sources 0.485824 hospital outpatient department 0.716112 National Hospital Ambulatory 0.566964 current prices 0.481131 nurse midwife 0.547324 original paper copy 0.544786 United States 0.486949 U.S. Government Printing 0.54571 Superintendent 0.416214 nurse practitioner 0.54345 assistance 0.415658 title 0.414719 percent 0.416303	MMWR readers 0.489082 character translation 0.48051 visits 0.486524 file 0.415764 MMWR paper copy 0.550845 physician present 0.495436 Persons 0.415828 format errors 0.483564 subject line 0.491947 Health 0.426524 advance practice nurse 0.937725 typeset documents 0.486959 trade names 0.485902 official text 0.479239 Estimates 0.415099 Medical Care Survey 0.559333 non-CDC sites 0.484691 physician assistant 0.664805 hospital outpatient departments 0.580861 report 0.414706 information 0.415778 Accommodation 0.414732 electronic conversions 0.480153 printable versions 0.477485	CLICK HERE
7004	Centers for Disease Control and Prevention	Html	en	Section 3 of the Tobacco Control Act - Purpose	null	et seq. 0.408422 effective oversight 0.399259 tobacco-related diseases 0.392632 U.S.C. 0.319366 adults 0.315892 Drug Administration 0.690386 young people 0.400767 disease risk 0.386933 distribution 0.319195 issues 0.317892 research 0.32921 illicit trade 0.394329 division 0.319131 national standards 0.399147 harmful components 0.401029 conjunction 0.316876 identity 0.317439 safety 0.316158 particular concern 0.402098 dependence 0.321272 ingredients 0.31695	Cosmetic Act 0.407712 tobacco product manufacturers 0.576388 dependency effects 0.393063 tar 0.318775 public disclosure 0.399102 flexible enforcement authority 0.496265 appropriate regulatory controls 0.45767 public health officials 0.476151 Federal Food 0.403781 respect 0.320015 tobacco industry 0.573726 tobacco products 0.979723 marketing 0.319216 sale 0.315924 Federal regulatory authority 0.515324 future 0.316222 social costs 0.385155 cessation 0.317749 purchasers 0.320228 harmful tobacco products 0.596546	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
8935	Centers for Disease Control and Prevention	Html	en	Vaccine Information Statement: Shingles - Vaccines - CDC	Shingles Vaccine Information Statement	catch shingles 0.662988 Page 0.398035 body 0.339541 nearest hospital 0.389115 severe allergies 0.455989 severe allergic reaction 0.799726 chills 0.323931 shingles 0.986961 severe problems 0.444549 immune systems 0.398266 clinical trials 0.397456 post-herpetic neuralgia 0.418626 soreness 0.321989 fast heartbeat 0.391152 chickenpox vaccine 0.621584 shingles vaccine 0.946526 Herpes Zoster 0.433627 Vaccine Adverse Event 0.567824 Mild problems 0.394756 behavior changes 0.389521 VAERS website 0.413817 life-threatening allergic reaction 0.521668 person 0.466403 difficulty breathing 0.386938 shingles infection 0.671841	single dose 0.397132 United States 0.39827 upset stomach 0.413971 Varicella Zoster virus 0.508922 medical advice 0.395413 minor acute illness 0.462086 main symptom 0.414519 signs 0.329271 pneumonia 0.319666 state health department 0.463891 Current Edition Date 0.502772 younger people 0.398072 painful skin rash 0.520499 severe allergic reactions 0.549191 severe pain 0.46282 blisters 0.322123 severe acute illness 0.523136 doctor 0.363546 brain inflammation 0.404548 face 0.333613 antibiotic neomycin 0.40386 risk 0.334663 headache 0.342084 gelatin 0.320053	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
12869	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Diet Quality and History of Gestational Diabetes Mellitus Among Childbearing Women, United States, 2007"2010 - 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 of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention.	total HEI-2010 diet 0.478316 dietary guidelines 0.487935 component diet quality 0.527397 diet quality score 0.607412 type 0.472232 chronic disease risk 0.471897 GDM 0.753096 previous borderline GDM 0.559862 overall diet quality 0.776915 Disease Control 0.473614 overall average diet 0.471683 smoking status 0.481597 Introduction Women 0.467607 Nutrition Examination Survey 0.514974 national health 0.492312 history 0.630027 gestational diabetes mellitus 0.592789 total HEI-2010 score 0.474853 childbearing women 0.489815 GDM diagnosis 0.533982 linear regression models 0.506958 total diet quality 0.492787 women 0.740171 high school graduate 0.466918	United States 0.5296 poorer diet quality 0.494736 maternal diet quality 0.484369 GDM data 0.535315 lower diet quality 0.504048 sugar diabetes 0.483849 Healthy Eating Index 0.475926 recent live infant 0.479031 average diet quality 0.505455 recent gestational diabetes 0.479796 Massachusetts Medical School 0.526025 borderline diabetes 0.482732 Diabetes Care 0.478153 health 0.521304 HEI-2010 diet quality 0.519662 poor diet quality 0.574225 24-hour dietary recall 0.47941 physical activity 0.472994 current diet quality 0.502472 MyPyramid Equivalents Database 0.467061 diet quality 0.943228 American Diabetes Association 0.480915 diabetes 0.612957 good-quality overall diet 0.474945	CLICK HERE
13147	Centers for Disease Control and Prevention	Html	en	Sudden Unexpected Infant Death (SUID) and SuddenInfant Death Syndrome (SIDS) - SIDS and SUID - ReproductiveHealth	null	complete autopsy 0.571558 different ways 0.547573 SUID cases 0.538322 SIDS 0.722993 data 0.427581 United States 0.697187 Reproductive Health 0.544661 sudden unexpected infant 0.927912 soft bedding—for example 0.673948 death scene 0.669256 strangulation 0.428508 Unknown cause 0.581276 sudden death 0.729196 syndrome 0.430569 review 0.429987 CDC resources 0.553607 examination 0.428392 jurisdictions 0.46533 nose 0.430321 circumstances 0.46444	types 0.432457 clinical history 0.563574 infants 0.476151 overlay 0.433456 sleep-related infant deaths 0.817366 strategies 0.427504 infant deaths 0.84344 future deaths 0.582817 people 0.427119 SUIDs 0.461642 SUID trends 0.541441 thorough investigation 0.700179 mouth 0.429668 tests 0.427698 matters 0.427138 Accidental suffocation 0.642777 activities 0.427213 pillow 0.43146 parts 0.42879 age 0.465276	CLICK HERE
14418	Centers for Disease Control and Prevention	Html	en	CDC study: Former NFL players not at increased risk of suicide | CDC Online Newsroom	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	suicide risk 0.373273 CDC’s National 0.306158 current discussion 0.286069 Disease Control 0.303276 NFL speed-position players 0.416279 suicide rate 0.38098 suicide deaths 0.467323 scientific literature 0.294009 NIOSH research 0.32933 greater risk 0.309312 new study 0.305094 NIOSH 0.379827 general U.S. population 0.91666 American Journal 0.300709 age-matched people 0.297007 NFL group 0.331602 Fifty-eight percent 0.304944 offensive linemen positions 0.377982 non-speed-position players 0.307524 professional football players 0.52614 Field Studies 0.29142 previous information 0.290916 NIOSH researchers 0.347309 neurodegenerative disease 0.283164 NFL Players Association 0.40304	general population 0.467717 head injury 0.290416 suicide death rate 0.571776 Occupational Safety 0.2986 Sports Medicine 0.303366 particular cohort 0.295213 heart disease 0.285895 different positions 0.296986 Hazard Evaluations 0.290172 white players 0.307521 higher risk 0.425173 different risks 0.286271 Douglas Trout 0.287436 National Football League 0.3935 nfl players 0.59444 black players 0.309753 non-speed positions 0.298882 latest study 0.286553 intentional self-harm 0.292039 wide receiver 0.290584 speed positions 0.299176 football players 0.613664 Deputy Director 0.294234 comparable gender/race/age sector 0.371865	CLICK HERE