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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
5566	Centers for Disease Control and Prevention	Html	en	Arsine - 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
5658	Centers for Disease Control and Prevention	Html	en	Glycidol - 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
5957	Centers for Disease Control and Prevention	Html	en	Naphthalene - 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
8612	Centers for Disease Control and Prevention	Html	en	PanFlu Storybook - In Memorial, Marcella Bobzien	In Memorial, To date, October 1918 remains the deadliest month in U.S. history when approximately 200,000 Americans died of the flu. Healthy, young adults (average age 35 years) began coughing in the morning and were dead by the evening. The family stories described in this section define true courage amid unbearable loss.	1918 flu pandemic 0.831942 urban America 0.420165 brothers 0.271262 arrangement 0.238189 Carmen Garske Bobzien 0.696732 toddler 0.244613 community′s capacity 0.403409 Robert 0.312156 rural North Dakota 0.960055 sister′s children 0.402576 young children 0.406766 Leon 0.238229 Marilynn Sutherland 0.479123 saddened listening 0.451394 grandmother Carmen 0.502497 siblings Millie 0.449186 outskirts 0.239438 Marcella Bobzien 0.512074 adult 0.236965 Bismarck 0.239291 second-hand knowledge 0.409664 pandemic flu 0.840436 Stella Garske Bobzien 0.604021 Dolores 0.248085 close–knit farming community 0.582038	epidemic′s dependent survivors 0.576819 duration 0.239408 mother′s stories 0.423821 Storyteller 0.244065 orphanage 0.23989 Otto′s diary 0.407305 Jack 0.237371 Otto John Bobzien 0.634523 public health 0.402595 Bea 0.247028 sod farmhouse 0.416584 flu deaths 0.542349 maternal grandparents 0.445172 Carmen′s younger sister 0.584438 recollections 0.243008 Dick 0.236716 inevitable next flu 0.545216 Vernon 0.34896 Jim 0.237393 Ferd 0.335858 time 0.237618 family 0.339136 pandemics 0.252807 isolated farming families 0.61478	CLICK HERE
10861	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Smoking in Top-Grossing US Movies, 2011 - CDC	We reviewed the number of incidents of tobacco use (almost exclusively smoking) depicted in movies in the United States in 2011 to compare that with previously reported trends.	tobacco appearances 0.271862 United States 0.210493 top-grossing movies 0.727157 policies 0.23103 Human Services 0.205497 smoking causes youth 0.238583 movies 0.762188 movie subsidy programs 0.201236 Tobacco Control Research 0.28717 companies 0.212776 long-term trends 0.203021 Motion Picture Association 0.385641 tobacco brands 0.286119 tobacco 0.903074 new youth-rated movies 0.225765 earlier report 0.247121 tobacco product 0.456 in-theater tobacco impressions 0.287711 figure 0.232513	box office 0.209869 Historical data 0.251909 tabular version 0.256941 tobacco-free youth-rated movies 0.234557 Total tobacco incidents 0.390767 tobacco use incident 0.271744 R-rated movie 0.225733 fewer incidents 0.200811 tobacco depictions 0.287536 youth smoking 0.21933 onscreen tobacco imagery 0.298575 support youth-rated movies 0.228047 top-grossing US movie 0.204643 youth-rated movies 0.566251 tobacco incidents 0.768655 tobacco imagery 0.433027 onscreen smoking 0.270858 Sacramento-Emigrant Trails 0.202166	CLICK HERE
11800	Centers for Disease Control and Prevention	Html	null	Preventing Chronic Disease | Measurement of Compliance WithNew York City's Regulations on Beverages, Physical Activity, andScreen Time in Early Child Care Centers - CDC	Policy interventions designed to change the nutrition environment and increase physical activity in child care centers are becoming more common, but an understanding of the implementation of these interventions is yet to be developed. The objective of this study was to explore the extent and consistency of compliance with a policy intervention designed to promote nutrition and physical activity among licensed child care centers in New York City.			CLICK HERE
12244	Centers for Disease Control and Prevention	Html	en	Considerations for U.S Healthcare Facilities to EnsureAdequate Supplies of Personal Protective Equipment (PPE) for EbolaPreparedness | Ebola Hemorrhagic Fever | CDC	null	Ebola assessment hospital 0.254324 CDC’s Interim 0.208422 hospitals 0.31144 CDC 0.269711 PPE 0.913286 Ebola PPE 0.71698 Emergency Department Evaluation 0.251975 Ebola infection 0.214318 PPE manufacturers 0.383792 federal assistance 0.203935 public health authorities 0.260411 PPE guidance 0.405813 frontline healthcare facilities 0.24729 Ebola PPE quantities 0.431171 state Ebola plan 0.249332 state health departments 0.342498 PPE shortages 0.40974 health departments 0.413737 sufficient PPE 0.347967 urgent care clinics 0.285767	local health departments 0.262976 PPE products 0.417644 PPE preparedness 0.352498 critical access hospitals 0.209633 patients 0.285866 Potential Ebola Virus 0.250839 Ebola treatment center 0.247037 ebola virus disease 0.512469 sufficient Ebola PPE 0.544928 additional PPE supplies 0.466273 public health officials 0.232268 local public health 0.334875 EVD 0.249666 Possible Ebola Virus 0.316027 acute healthcare facilities 0.200871 Ebola patient care 0.27718 current PPE shortages 0.399061 acute care hospitals 0.302346 emergency care settings 0.280253 Ebola patients 0.229324	CLICK HERE
13190	Centers for Disease Control and Prevention	Html	en	Hispanic Health Infographic	CDC Vital Signs - Hispanic Health	MPEG 0.434002 different file formats 0.626561 National Health Interview 0.613298 Heart Disease 0.550304 SOURCES 0.420674 PDF 0.420481	PPT 0.446842 Non-Hispanic Whites 0.975562 DOC 0.431913 Nutrition Examination Survey 0.624269 High Blood Pressure 0.838229 Hispanics 0.686924	CLICK HERE
13522	Centers for Disease Control and Prevention	Html	en	Germs & Infections | Contact Lenses | CDC	CDC - Protect Your Eyes: Healthy and Safe Contact Lens Cleaning and Use. Millions of people use contact lenses every day but lens cleaning practices can lead to eye infections. Hands should be washed before handling contact lenses and contacts should be properly cleaned, disinfected, and stored to ensure eye health and safety. Following your eye doctor’s recommendations and a few simple steps can lead to healthy daily contact lens use.	benefits 0.222734 treatment 0.221868 contact lens wearers 0.940048 eye problems 0.306071 bacteria 0.221157 clear dome 0.314817 eye infection 0.299747 type 0.242138 eyes 0.241389 tips 0.220161 glasses 0.254034 daily activities 0.330831 inflammation 0.225767 vital aspect 0.330436 supplies 0.27051 patient 0.221897 sight 0.225832 infections 0.222745 contact lenses 0.873684 proper care 0.302552	higher risk 0.308659 germs 0.226631 viruses 0.220914 complications 0.222584 blindness 0.222446 eye surgery 0.32165 patients 0.22235 Worldwide 0.22433 corneal transplant 0.30943 people 0.250812 severe cases 0.305582 pair 0.221688 microbial keratitis 0.480055 eye 0.334027 eye doctor 0.311816 fungi 0.220602 permanent vision loss 0.412181 parasites 0.222306 practice healthy habits 0.420185 Contact lens wear 0.439269	CLICK HERE
14490	Centers for Disease Control and Prevention	Html	en	Who Would Pay for State Alcohol Tax Increases in the UnitedStates?	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.	capita alcohol consumption 0.30075 alcohol tax increase 0.296011 binge drinkers 0.229577 net cost 0.29351 binge drinking 0.365435 hypothetical tax increases 0.333861 tax increases 0.788391 alcohol prices 0.237541 hypothetical tax increase 0.31302 Alcohol Abuse 0.225825 higher alcohol taxes 0.283553 alcohol taxes 0.45171 alcohol 0.791816 aggregate costs 0.290183 adult excessive drinkers 0.290387 state alcohol tax 0.464782 BRFSS core alcohol 0.230523 heavy drinker 0.254124 daily average 0.255015 alcohol tax increases 0.746898 state alcohol taxes 0.34449 sociodemographic characteristics 0.234235 alcohol policy interventions 0.233863 capita costs 0.345711	State-specific tax increases 0.249169 United States 0.387976 drinks 0.467223 current alcohol taxes 0.253209 average annual increase 0.230942 non-Hispanic white drinkers 0.274355 alcohol consumption 0.607549 Average daily alcohol 0.264005 Alcohol Epidemiologic Data 0.232708 excessive drinkers 0.841684 Excessive alcohol consumption 0.347454 excessive drinking 0.243269 hypothetical state alcohol 0.373777 non-Hispanic whites 0.284088 public health 0.250963 nonexcessive drinkers 0.909314 costs 0.35543 Alcohol Policy Information 0.282279 value-based alcohol taxes 0.253549 annual alcohol consumption 0.244944 hypothetical alcohol tax 0.299364 evidence-based public health 0.239268 alcohol spectrum disorders 0.239775 current drinkers 0.239986	CLICK HERE