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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
1232	Centers for Disease Control and Prevention	Html	en	Smokers' Stories: Lost Teeth, a Tiny Baby | CDC Features	Meet the real people in CDC's graphic new ads. They want to be your reason to quit smoking for good.	North Carolina 0.534115 bone structure 0.546078 long-term damage 0.543785 periodontal disease 0.560749 hospital incubator 0.539102 lung cancer 0.531613 new school 0.53249 teeth 0.740924 two-pack-a-day cigarette addiction 0.647576 dental problems 0.540013 personal stories 0.548915 blood vessels 0.652894 Tips campaign ads 0.656764 tooth loss 0.549198 severe cases 0.546879 false teeth 0.605118 throat cancers 0.533472 health problems 0.763979 Washington State 0.536217 real people 0.685146 hard-hitting commercials 0.561419 yellow teeth 0.612255 laryngeal implant 0.539998 right hand 0.534653 good dental habits 0.649464	United States 0.562747 Felicita 0.582141 smokers 0.571413 cigarette smoke 0.682249 clogged blood vessels 0.647087 infant death syndrome 0.651074 smoking 0.836895 birth defect 0.539099 free help 0.561329 close contact 0.531505 well-known cause 0.542858 Brett 0.57048 gum disease 0.940549 campaign share 0.550822 better your chances 0.532768 hard way 0.549811 tiny baby girl 0.644344 professional cleanings 0.546825 Smoking cigarettes 0.657714 following resources 0.531813 small Texas town 0.653097 chest x-ray 0.531308 new Tips participants 0.668549 age 0.780092	CLICK HERE
4751	Centers for Disease Control and Prevention	Html	en	FluView: Situation Update, Summary of Weekly Report	CDC Centers for Disease Control and Prevention Influenza Flu - Situation Update: Summary of Weekly FluView.	influenza 0.936625 Puerto Rico 0.463943 United States 0.337849 novel influenza 0.485121 key flu indicators 0.348727 region-specific baseline levels 0.331783 health care provider 0.325045 influenza A viruses 0.637156 best available way 0.334692 low ILI activity 0.446817 influenza-like illness 0.420859 influenza vaccine viruses 0.72184 South Carolina 0.321965 FluView report 0.234212 New York City 0.323367 Sporadic activity 0.25515 influenza-associated hospitalization data 0.321957 cell-grown reference viruses 0.437039 influenza B viruses 0.733076 CDC website 0.22922 national baseline 0.224049 U.S. Virgin Islands 0.300522 ILI activity level 0.444597 Influenza Hospitalization Surveillance 0.626723	moderate ILI activity 0.448057 Mortality Surveillance 0.297911 influenza A virus 0.496524 2017-2018 influenza season 0.620692 New York 0.324536 Illness State Activity 0.359712 minimal ILI activity 0.442932 geographic spread 0.315319 Geographic spread data 0.306695 South Dakota 0.320522 influenza-positive tests 0.308236 frequently identified influenza 0.588356 Influenza-like Illness Surveillance 0.326554 Regional influenza activity 0.675026 clinical laboratories 0.359462 regional flu activity 0.410775 ILI activity 0.568189 local influenza activity 0.89662 influenza viruses 0.7749 injectable flu vaccine 0.37678 influenza-associated pediatric death 0.292233 public health laboratories 0.43627 ongoing human-to-human transmission 0.287444	CLICK HERE
5679	Centers for Disease Control and Prevention	Html	en	Iodoform - 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
7996	Centers for Disease Control and Prevention	Html	es	Preventing Chronic Disease - CDC: Volume 10, 2013: 12_0067	Volumen 10 — el 10 de enero de 2013.	Rao C 0.846629 medianos recursos 0.811467 Marks G 0.866659 mujeres vietnamitas 0.745338	alta proporción 0.704894 Nhung NT 0.866619 Estados Unidos 0.630583 Hoa NP 0.918553	CLICK HERE
8564	Centers for Disease Control and Prevention	Html	en	CDC PanFlu Storybook - In Memorial, Joel Anderson Smyer	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.	influenza 0.541251 siblings 0.548358 wagon train 0.723306 Deming′s first death 0.67468 Smyer family 0.69162 mother 0.580029 pneumonia 0.546515 Joel Anderson Smyer 0.838943 children 0.533717 school 0.533316 Storyteller 0.547681 Carolyn O′Mara 0.728631 grandfather 0.549273 Pancho Villa 0.719858 hospital 0.556781 Smyers 0.564219	raids 0.551621 area 0.533347 Mary Smyer Wilder 0.843513 ore 0.547447 grandmother 0.553127 Spanish Flu 0.683348 Mogollon 0.563845 community 0.53319 ranch 0.534541 Silver City 0.695193 Deming newspaper 0.747513 New Mexico 0.97557 Geronimo 0.55264 ranches 0.543717 time 0.533506 Location 0.537944	CLICK HERE
9201	Centers for Disease Control and Prevention	Html	en	CDC Grand Rounds: Public Health Approaches to Reducing U.S.Infant Mortality	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.	Child Health Bur 0.562245 preliminary data 0.575155 prenatal health care 0.570617 Human Services 0.573165 birthweight-specific neonatal mortality 0.607048 infant mortality 0.955306 non-Hispanic white infants 0.587048 U.S. Department 0.573533 New York City 0.602335 high-risk infants 0.574212 pregnant women 0.573225 Non-Hispanic black infants 0.587096 low birthweight infants 0.588159 neonatal period 0.642562 infant sleep position 0.63048 infants 0.589331 infant morbidity 0.609018 U.S. infant mortality 0.722987 shows infant mortality 0.684509 preterm births 0.601538 prenatal care 0.581392 live births 0.611906 infant mortality rates 0.685013 neonatal medical care 0.573253 infant mortality risks 0.676674	postneonatal infant deaths 0.672418 Infant Safe Sleep 0.632611 Child Health Programs 0.569193 United States 0.806834 neonatal intensive-care units 0.619144 Xu J. Deaths 0.573921 late preterm birth 0.571719 infant death syndrome 0.642383 unexpected infant death 0.641528 infant mortality rate 0.701863 neonatal deaths 0.597133 PRAMS data 0.57713 southern United States 0.613219 Health Resources 0.577171 U.S. IMR 0.600176 sleep-related infant deaths 0.654548 infant deaths 0.809687 health 0.592563 postneonatal period 0.578814 bed sharing 0.566647 preventable infant deaths 0.770499 child health 0.590606 maternal health conditions 0.57445 overall societal health 0.572769	CLICK HERE
9539	Centers for Disease Control and Prevention	Html	en	QuickStats: Rate* of Emergency Department Visits for Alcohol-Related Diagnoses, by Sex - National Hospital Ambulatory Medical Care Survey, United States, 2001-2002 to 2009-2010	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. 0.489686 endorsement 0.434218 Alternate Text 0.47743 emergency department visits 0.923556 Human Services 0.534536 assistive technology 0.492982 2-year annual average 0.559124 Clinical Modification 0.481092 MMWR HTML versions 0.537171 U.S. Department 0.527213 electronic PDF version 0.532743 e-mail 0.43031 any-listed diagnosis codes 0.554495 Contact GPO 0.488497 commercial sources 0.477259 males 0.485986 study period 0.47844 any-listed cause 0.479802 current prices 0.474405 International Classification 0.484088 original paper copy 0.535788 United States 0.479946 U.S. Government Printing 0.541652 original MMWR paper 0.534708	assistance 0.415068 title 0.414954 2000-based postcensal 0.485177 U.S. Census Bureau 0.554145 MMWR readers 0.478605 character translation 0.473717 alcohol-related diagnoses 0.658066 file 0.415141 civilian population estimates 0.580728 Persons 0.415186 format errors 0.473252 subject line 0.490886 females 0.468636 Health 0.422864 typeset documents 0.476601 trade names 0.477312 official text 0.472126 non-CDC sites 0.475733 information 0.41515 motor vehicle crashes 0.553828 injury code 0.484197 Accommodation 0.414963 electronic conversions 0.471694 visit rate 0.808992	CLICK HERE
9586	Centers for Disease Control and Prevention	Html	en	Progress in Increasing Electronic Reporting of LaboratoryResults to Public Health Agencies - United States, 2013	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.	CDC 0.225248 surveillance information systems 0.204344 ELR delivery 0.295773 large local health 0.296468 infectious diseases 0.229188 ELR 0.638765 territorial health departments 0.207815 ELR progress 0.318639 ELR repository 0.292068 laboratory information management 0.233383 public health departments 0.280199 total laboratory reports 0.287043 large commercial laboratories 0.269486 laboratory results 0.275176 public health surveillance 0.260449 hospital laboratories 0.24345 Zoonotic Infectious Diseases 0.210351 ELR changes 0.304588 ELR transmissions 0.33583 Territorial Epidemiologists ELR 0.327631 clinical laboratories 0.23591 laboratory reports 0.569947 ELR capability 0.294058 public health laboratories 0.469874	effective ELR implementation 0.333409 public health agencies 0.755926 smaller regional laboratories 0.203972 United States 0.252413 ELR efforts 0.298878 Services Electronic Health 0.203954 meaningful use–compliant ELR 0.335344 health departments 0.449127 ELR implementation 0.601196 local health departments 0.294374 public health 0.947615 Public Health Scientific 0.21674 reportable laboratory results 0.251732 local public health 0.278825 American Hospital Association 0.213128 standards-based ELR implementation 0.335329 disease surveillance information 0.255084 ELR technical assistance 0.326074 large laboratories 0.234019 C. Jason Hall 0.200622 total reporting laboratories 0.239672 ELR laboratory reports 0.419649 electronic laboratory 0.207811 electronic reportable laboratory 0.213456	CLICK HERE
10075	Centers for Disease Control and Prevention	Html	en	NIOSH Program Portfolio : Immune, Dermal and Infectious Diseases : Program Description	The mission of the NIOSH research program for Immune, Dermal & Infectious Diseases is to eliminate occupational injuries, illnesses, and fatalities among workers in these industries through a focused program of research and prevention. Primary efforts are focused on hazard identification since when potential hazards are recognized, work-related dermal and immune diseases can often be prevented or their effects minimized.	dermal diseases 0.460508 list Skip 0.705785 Infectious Disease Prevention 0.591708 trade associations 0.324699	Immune 0.2227 page options Skip 0.906266 professional organizations 0.323529 navigation Skip 0.721193	CLICK HERE
12297	Centers for Disease Control and Prevention	Html	en	Non-Polio Enterovirus | Pregnancy and Non-Polio Enterovirus | CDC	Pregnant women have a greater chance of being infected if they do not have immunity (protection) from previous exposures to non-polio enteroviruses.	non-polio enterovirus infection 0.937135 non-polio enteroviruses 0.934737 greater chance 0.356753 previous exposures 0.372053 immunity 0.257005 symptoms 0.217328 pregnancy increases 0.335198	pregnant women 0.658754 clear evidence 0.341081 pregnant woman 0.488321 severe complications 0.362148 mild illness 0.679231 congenital defects 0.353997 rare cases 0.36761	CLICK HERE