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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
663	Centers for Disease Control and Prevention	Html	en	Bidis and Kreteks - Smoking & Tobacco Use	Tobacco Industry and Products Fact Sheets.	Mortality Weekly Report 0.736921 reduced oxygen absorption 0.46092 nicotine addiction 0.411423 Tobacco Control Act 0.611152 conventional cigarettes 0.418918 lung cancer 0.437099 Disease Control 0.52913 oral cancer 0.475271 Yusuf S. Risk 0.466429 World Health Organization 0.621106 Clove Cigarette Smoking 0.537694 Occupational Lung Diseases 0.462932 Risk Factors 0.459423 High School Students—United 0.725188 carbon monoxide 0.489706 bidi smoking 0.968962 Bidi Cigarettes 0.670044 long-term health effects 0.643066 Nov 0.624469 Southeast Asian countries 0.48994 International Journal 0.447961 combustible tobacco product 0.517574 Family Smoking Prevention 0.536764 U.S. middle school 0.485032	Fukui T. Bidi 0.800783 acute lung injury 0.49234 S. Bidi Smoking 0.684593 Bidi Cigarette 0.568238 United States.1,3,5,6 0.410967 hand-rolled cigarettes 0.426767 flavored cigarettes 0.412101 Regular kretek smokers 0.474755 School Students—United States 0.723091 Tobacco Research. 0.423906 Carbon Monoxide Yields 0.459948 high school students 0.481784 kretek smoking 0.511201 middle school males 0.485466 lung problems 0.415878 T. Bidi Smoking 0.835199 bidis 0.515884 relative standard error 0.459828 stomach cancer 0.412786 low prevalence 0.490352 research studies 0.48493 coronary heart disease 0.477084 adverse health conditions 0.496028 abnormal lung function 0.489677	CLICK HERE
4426	Centers for Disease Control and Prevention	Html	en	Diseases & Conditions A-Z Index - O	CDC Diseases and Conditions A-Z Index	Error processing SSI 0.944558 Microsoft PowerPoint file 0.397853 ePub file 0.305582 Audio/Video file 0.291252 Microsoft Word file 0.400974 Opisthorchis Infection 0.291259 Disease Control 0.344311 Occupational Stress 0.270811 Microsoft Excel file 0.394946 Contact CDC-INFO 0.231602 Obesity 0.340514 Contact CDC 0.420313 list Skip 0.306108 page options Skip 0.4378 Form Controls TOPIC 0.383705 different file formats 0.399682 Apple Quicktime file 0.392008 Occupational Cancers 0.283664 Omsk hemorrhagic fever 0.605695 Oropharyngeal Candidiasis 0.259031 CDC A-Z 0.618632 Sore Mouth Infection 0.384583 RealPlayer file 0.293791 (Osteoarthritis) 0.281329 Adobe PDF file 0.392709	Oroya fever 0.251634 processing SSI file 0.898739 Oral Cancer 0.248106 Orf Virus Infection 0.385259 Search Form Controls 0.635102 Ovarian Cancer 0.359473 new entry 0.240072 A-Z Index 0.92518 Occupational Skin Conditions 0.404188 Otitis Media 0.244642 Inspector General 0.232064 Conditions A-Z Index 0.75021 Ear Infection 0.260557 River Blindness 0.242794 CDC Topics 0.546061 Search The CDC 0.472532 Search Controls 0.289028 Clifton Road Atlanta 0.332915 Breast Cancer 0.239213 Family Health History 0.525712 Text file 0.295158 Childhood Overweight 0.511347 RIS file 0.30321 SAS file 0.292575	CLICK HERE
5693	Centers for Disease Control and Prevention	Html	en	Divinyl benzene - 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
6898	Centers for Disease Control and Prevention	Html	en	Rabies Risk Assessment of Exposures to a Bat on a Commercial Airliner - United States, August 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.	risk assessment 0.734352 bat saliva 0.455304 commercial airliner 0.500532 early morning flight 0.469719 rabies virus transmission 0.550916 bat 0.688891 Public Health Madison 0.521852 Zoonotic Infectious Diseases 0.512782 risk assessment tool 0.590371 flight crew 0.582539 potential bat contact 0.540223 passengers 0.798755 rabies diagnostic testing 0.539829 public health precaution 0.443801 public health officials 0.646357 rabies virus variants 0.640596 rabies transmission 0.539534 bat sightings 0.500149 airport 0.473698 Airport Environmental Assessment 0.456851 environmental assessment 0.475763 Dane County 0.456612 previous bat sightings 0.495286 rabies status 0.520158	commercial airline flight 0.454758 rabies virus 0.91107 flight 0.635442 airline passengers increases 0.525045 United States 0.524564 bat capture 0.442359 human rabies 0.645787 bats 0.528067 unidentified passengers 0.487164 Immunization Practices 0.486623 Advisory Committee 0.486251 risk-assessed passengers 0.461206 rabies risk assessment 0.629931 maintenance crew members 0.456115 flight crew members 0.519016 public health 0.967835 human rabies cases 0.555506 separate risk assessment 0.442692 aircraft cabin 0.476689 flight attendant 0.460263 bat droppings 0.448496 rabies vaccination history 0.568233 ground crew members 0.95456 postexposure rabies 0.549147	CLICK HERE
7684	Centers for Disease Control and Prevention	Html	en	Collegiate Leaders in Environmental Health (CLEH) - 2011 Intern Profiles	CDC Collegiate Leaders in Environmental Health - 2011 Intern Profiles	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
7777	Centers for Disease Control and Prevention	Html	en	Suicide Among Youth - Health Communication	Gateway to Health Communication and Social Marketing Practice - Suicide Among Youth	young person 0.763005 crisis centers 0.569521 suicide risk 0.725503 mental health 0.63886 self-inflicted injuries 0.577805 mood changes 0.569004 non-Hispanic peers 0.576725 crisis center 0.629128 education class 0.568407 Emergency Departments 0.573701 general suicide awareness 0.785925 mental health problems 0.638401 risk factors 0.761036 suicide-related fatalities 0.575678 teenage suicide 0.72786 suicide 0.902529 unusual anger 0.567551 Hispanic youth 0.577005 young adults 0.582915 lethal means 0.645184 American/Alaskan Native youth 0.639095 United States 0.576886 age group 0.57415 young people 0.656003 prevention efforts 0.56664	healthy social connections 0.631652 clinical interventions 0.569986 nationwide survey 0.645984 substance abuse 0.569281 youth suicide 0.773268 previous suicidal behavior 0.637487 mental health issues 0.626893 higher risk 0.580099 warning signs 0.568216 invaluable lesson– 0.57006 residential mobility 0.574317 high school students 0.758771 easy access 0.574417 highest rates 0.57101 community gatekeeper programs 0.630812 teenage son Chip 0.624667 public health problem 0.653884 survey high school 0.633318 family history 0.574614 high school health 0.628659 local crisis center 0.62167 overall well-being 0.568181 suicide attempts 0.762805 detecting suicide 0.729849	CLICK HERE
9355	Centers for Disease Control and Prevention	Html	es	CDC - Uso del índice de posición socioeconómica para evaluar las disparidades en la incidencia y mortalidad por cáncer, Puerto Rico, 1995-2004	CDC - Wide Page example description goes here	Karen J 0.692259 Ana P 0.733825 Pérez-Irizarry J 0.696901 Figueroa-Vallés NR 0.739872 Erick Suárez-Pérez 0.762453 Mariela Torres-Cintrón 0.711951 Nayda R 0.708646 Torres-Cintrón M 0.708684	Gwendolyn Díaz-Medina 0.75484 Javier Pérez-Irizarry 0.717416 índice sep 0.949793 Ortiz AP 0.777246 Ortiz-Ortiz KJ 0.718048 La Torre-Feliciano 0.642888 posibles disparidades 0.755241	CLICK HERE
9400	Centers for Disease Control and Prevention	Html	es	Errores en la clasificación de respuestas a encuestas y disparidad en el uso de mamografías entre mujeres blancas y negras, Sistema de Vigilancia de Riesgos del Comportamiento, 1995-2006	null	Miller JW 0.859239 Njai R 0.808172	Estados Unidos 0.561661 Chronic Dis 0.887467	CLICK HERE
9770	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Determinants of Fruit, Vegetable, and Dairy Consumption in a Sample of Schoolchildren, Northern Serbia, 2012 - CDC	Insufficient intake of fresh fruits, vegetables, and dairy products among children is a serious nutrition-related concern. The aim of our study was to determine behavioral and environmental factors that influence fruit, vegetable, and dairy consumption among Serbian schoolchildren.	inadequate fruit intake 0.449572 carbohydrate intake 0.399342 children’s behaviors 0.395846 children 0.99611 school 0.567387 environmental factors 0.607826 schoolchildren 0.395963 school-aged children 0.389349 mean group intake 0.431843 older children 0.449634 dairy consumption 0.433529 fruit intake 0.510146 nutrition-related concern 0.412117 parents 0.482039 24-hour recall 0.390336 study 0.559077 United States 0.409365 fruit 0.77349 Introduction Insufficient intake 0.451719 average intake 0.390893 Novi Sad 0.386816 availability 0.446781 calcium intake 0.414897 vegetables 0.747782 actual intake 0.395314	dairy intake 0.770754 servings 0.400368 eating habits 0.450082 inadequate vegetable intake 0.446528 dietary intake 0.430333 parental eating behavior 0.405186 fruits 0.616469 behavior 0.621813 Serbia 0.430883 intake 0.799336 influence vegetable intake 0.441774 Pro Children study 0.411839 younger children 0.450958 dairy food 0.389824 vegetable intake 0.632433 fewer 8-year-old children 0.435615 children’s fruit 0.389349 home 0.406631 integrated behavior model 0.423554 low intake 0.458804 dairy foods 0.664003 dairy 0.830902 dairy products 0.448767 nutrition behavior 0.393979	CLICK HERE
14078	Centers for Disease Control and Prevention	Html	en	Healthy Pregnancy: Living My PACT | CDC Features	Read stories from three pregnant women who share their perspectives of how they are striving for healthy pregnancies by #LivingMyPACT.	healthy diet 0.616756 tobacco user 0.507821 conscious decision 0.64816 micrograms 0.425961 good example 0.522133 PACT 0.518661 healthier meats 0.512673 husband 0.492276 body 0.452326 healthy choices 0.604133 pregnant women 0.590114 prenatal vitamins 0.966555 things 0.424353 best chance 0.52597 healthy lifestyle 0.908081 alcohol 0.475068 fertility clinic 0.515515 birth defects webpages 0.597203 steps 0.484296 fertility treatments 0.514843 doctors 0.473508 healthy lifestyle habits 0.689963 moderate level 0.511321 support 0.423663 healthy habits 0.600882	fact 0.450587 multivitamin 0.427792 coworkers 0.427282 Thanks 0.424523 certain medications 0.508746 folic acid 0.53681 various harmful substances 0.608483 visit CDC 0.508513 prenatal vitamin 0.522921 stories 0.426352 motivator 0.42736 healthy pregnancies 0.662325 half marathon 0.51619 birth defects 0.723362 pre-pregnancy routine 0.523084 wellness liaison 0.522511 physical activity 0.511016 doctor 0.549846 healthy pregnancy 0.883075 healthcare provider 0.517066 healthy start 0.634144 annual well-visit 0.516997 time 0.448151 LivingMyPACT 0.426282	CLICK HERE