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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
6209	Centers for Disease Control and Prevention	Html	en	Basic Information About Gynecologic Cancers	Basic information about gynecologic cancers.	main types 0.494639 treatment 0.363037 disease 0.340613 woman 0.337662 vulvar 0.357593 screening test—the Pap 0.653024 gynecologic cancer 0.98574 control 0.340338 rare fallopian tube 0.669287	body 0.340448 cervical cancer 0.591687 cells 0.345269 ways 0.333448 signs 0.333306 gynecologic cancers 0.801189 reliable way 0.484567 test—that 0.334718	CLICK HERE
6376	Centers for Disease Control and Prevention	Html	en	Prescription painkiller overdoses at epidemic levels - Press Release: November 1, 2011	Prescription painkiller overdoses at epidemic levels	public health epidemics 0.505901 Health Services Administration 0.496958 public insurance programs 0.520634 prescription painkiller 0.673881 public health burden. 0.508697 United States age 0.483018 prescription drug abuse 0.768162 CDC Director Thomas 0.505293 prescription drugs 0.604232 CDC journal Morbidity 0.486658 prescription painkiller death 0.600193 health care providers 0.678638 national prescription drug 0.614249 Drug Abuse Crisis 0.497581 health care practice 0.493874 doctor shopping 0.471427 Substance Abuse 0.47171 public safety approach. 0.484229 state–run health plans 0.488287 prescription painkillers 0.976029 pill mills 0.477486 state–based prescription drug 0.608478 prescription drug monitoring 0.71691 Drug Enforcement Administration 0.495711 narcotic pain relievers 0.479028	higher death rates 0.471373 death rates 0.50913 Responsible Drug Disposal 0.488566 comprehensive action plan 0.471686 America’s Prescription 0.554633 drug monitoring programs 0.605982 potential life 0.488698 health insurers 0.471992 public health burden 0.498784 prescription drug overdose 0.593379 fatal drug overdoses 0.49876 Prescription painkiller sales 0.592444 U.S. health protection 0.489858 public health 0.593438 Prescription Painkiller Overdoses 0.592463 key health indicators 0.48832 prescription drug 0.823162 large public insurers 0.474667 comprehensive public health 0.510745 key public health 0.497596 unwanted prescription drugs 0.582026 CDC Vital Signs 0.503615 prescription painkiller abuse 0.590529 National Drug Control 0.500864	CLICK HERE
8005	Centers for Disease Control and Prevention	Html	en	CDC Global Health - Who We Are	null	CDC 0.838527 global challenges 0.509719 endorsement 0.274993 maximum public health 0.736191 injuries 0.321643 disability 0.248933 non-communicable diseases 0.555108 emergency 0.252314 scientific expertise 0.530991 malaria 0.267321 global health programs 0.748009 disease eradication 0.504675 dollar 0.254907 Ministries 0.250327 HHS 0.280504 Notice 0.254001 causes 0.2491 elimination targets 0.515121 morbidity 0.275326 longer lives 0.541353	health goals 0.500835 global health 0.992721 HIV/AIDS 0.256841 execution 0.256122 health systems 0.508175 partnership 0.247804 global health approach 0.770519 agency 0.25274 impact 0.294435 world live healthier 0.844032 resources 0.252684 people 0.257321 non-federal site 0.516042 refugee health 0.549435 international organization goals 0.73251 U.S. Government program 0.742166 Global Health coordinates 0.803172 mortality 0.263635 employees 0.247648 especially chronic disease 0.72198	CLICK HERE
9434	Centers for Disease Control and Prevention	Html	es	Riesgos ecológicos exógenos de obesidad y sobrepeso en jóvenes afroamericanos en un pueblo rural del área central del sur de los Estados Unidos, 2007	null	múltiples niveles 0.472718 Scott AJ 0.511782	Wilson RF 0.504612 Estados Unidos 0.950849	CLICK HERE
10405	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Relationships Between Housing and Food Insecurity, Frequent Mental Distress, and Insufficient Sleep Among Adults in 12 US States, 2009 - CDC	Housing insecurity and food insecurity may be psychological stressors associated with insufficient sleep. Frequent mental distress may mediate the relationships between these variables. The objective of this study was to examine the relationships between housing insecurity and food insecurity, frequent mental distress, and insufficient sleep.	mental health 0.331448 sleep health 0.292895 Risk Factor Surveillance 0.352378 significantly higher percentage 0.249772 housing instability 0.241981 psychological distress 0.304851 Kalidindi S. Insufficient 0.277658 social determinants 0.259329 sleep duration 0.279732 nutritious meals 0.256341 overcrowded housing 0.246329 mental distress mediates 0.277045 food insecurity 0.927911 housing insecurity 0.836416 Chapman DP 0.247106 World Health Organization 0.242338 frequent sleep insufficiency 0.3129 sleep problems 0.274083 BMC Public Health 0.272233 5-tier health impact 0.242279 insufficient sleep 0.926991 slow-wave sleep 0.26394 respondents 0.272215 optional module 0.245484	significantly greater percentage 0.251377 Behavioral Risk Factor 0.353274 high housing costs 0.248573 poor sleep 0.293987 frequent moves 0.257323 poor housing conditions 0.244613 frequent microarousals 0.258056 insecurity variables 0.323508 South Carolina 0.250824 shows housing insecurity 0.35791 sleep cycle 0.263926 food subsidy programs 0.241852 Introduction Housing insecurity 0.389305 obstructive sleep apnea 0.27344 short sleep duration 0.275503 mental distress status 0.293551 insufficient rest 0.279453 health 0.336107 prolonged mental distress 0.277177 frequent mental distress 0.987403 New Mexico 0.250155 food security 0.242359 logistic regression models 0.250054 social context 0.309818	CLICK HERE
11471	Centers for Disease Control and Prevention	Html	en	Interim Guidance Regarding Compliance with Select Agent Regulations for Laboratories Handling Patient Specimens that are Known or Suspected to Contain Ebola Virus	null	critical infrastructure 0.238557 select agent facility 0.290764 severe threat 0.279469 Human Services 0.23966 ebola virus 0.99073 Toxins List 0.245159 U.S. Department 0.239572 HHS Select Agent 0.362819 Disease Control 0.242105 No. Nucleic 0.237701 deliberate misuse 0.240123 virus isolation 0.29961 naturally occurring environment 0.265275 Select Agents Program 0.289485 select agent infection 0.288324 molecular methods 0.268621 Control Recommendations 0.27065 infectious forms 0.237981 greatest risk 0.238802 ebola virus disease 0.549916 body fluids 0.269706 patient’s body 0.257185 patient care 0.300033 biological agents 0.276348	EVD 0.275984 question-and-answer format 0.244751 select agents 0.375965 select agent regulations 0.655841 Clifton Rd 0.242019 Hospitalized Patients 0.27313 federal select agent 0.293561 clinical specimens 0.245572 Infection Prevention 0.270284 U.S. Hospitals 0.270537 exclusion provision 0.238342 routine patient care 0.269432 genetic material 0.239637 public health 0.276068 Contact CDC–INFO 0.242743 public confidence 0.237776 mass casualties 0.239921 additional requirements 0.239791 viral isolation 0.238682 specimens 0.2726 live-infectious Ebola virus 0.507843 select agent 0.793183 Ebola response 0.322541 APHIS/CDC Form 0.303478	CLICK HERE
12164	Centers for Disease Control and Prevention	Html	en	Meningitis | Lab Manual | Table of Contents | CDC	Introduction to Laboratory Methods for the Diagnosis of Meningitis.	MPEG 0.392502 Bacterial Meningitis Pathogens 0.984403 different file formats 0.740995 Haemophilus influenzae 0.812139 Streptococcus pneumoniae 0.744547 Characterization 0.396541 pages 0.333319	PDF 0.332777 Printer friendly version 0.865452 PPT 0.434186 Neisseria 0.464787 DOC 0.386243 page 0.338503 Detection 0.335068	CLICK HERE
12584	Centers for Disease Control and Prevention	Video	en	Rose's Story | Tips From Former Smokers	Rose started smoking at 13, and before long, she was spending her school lunch money on cigarettes instead of food. Her addiction to cigarettes led to lung cancer—and the fight of her life. In this video from CDC's Tips From Former Smokers campaign, Rose talks about living with cancer. She never really believed that she would get cancer from smoking—not her. Rose had chemotherapy, radiation, and surgery (twice) to fight the disease. At age 60, she died from lung cancer caused by smoking. Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html This video can also be viewed at http://streaming.cdc.gov/vod.php?id=b36bef48c0db3f2bb2a7a081da251b9820140620102049358	Smokers 0.968831 CDC 0.958216 Rose 0.695906	Story 0.693595 YouTube 0.912268	CLICK HERE
15790	Centers for Disease Control and Prevention	Html	en	Guillain-Barré Syndrome During Ongoing Zika VirusTransmission - Puerto Rico, January 1-July 31, 2016 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	flavivirus infection 0.656236 Puerto Rico Hospital 0.390967 evidence 0.36616 neurologic signs 0.434625 virus disease outbreak 0.369582 Zika virus 0.979557 public health authorities 0.370737 recent Zika virus 0.392871 GBS cases 0.435755 neurologic conditions 0.37719 GBS patients 0.437014 active Zika virus 0.400532 GBS case 0.405086 health care providers 0.444755 median age 0.380977 patients 0.488696 dengue virus 0.39629 dengue virus infections 0.37315 ongoing Zika virus 0.411304 Zika virus disease 0.413832 possible GBS 0.426607 Zika virus transmission 0.460055 Fifty-six suspected cases 0.386225 Puerto Rico 0.787629 presumptive Zika virus 0.460515	infection control departments 0.360062 chikungunya virus 0.364117 Zika virus infection 0.870261 GBS incidence 0.42959 Zika virus cases 0.400183 Puerto Rico Department 0.482271 local transmission 0.369872 neurologic disorders 0.390807 IgM ELISA 0.363717 GBS 0.665933 neurologic illnesses 0.362129 Zika virus infections.* 0.400493 public health 0.412991 Chemical Emergencies Laboratory 0.360161 confirmed Zika virus 0.402636 Zika virus infections 0.400028 antecedent arboviral infection 0.369907 presumptive flavivirus infection 0.444915 presumptive recent infection 0.368313 GBS Passive Surveillance 0.472812 clinical neurologic signs 0.360833 demyelinating polyneuropathy subtype 0.360491 neurologic symptoms 0.37564 GBS diagnosis 0.40518	CLICK HERE
16382	Centers for Disease Control and Prevention	Html	en	Resurgence of Progressive Massive Fibrosis in Coal Miners -Eastern Kentucky, 2016 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	coal mining 0.555781 PMF cases 0.419711 Kentucky coal miners 0.547614 coal miners 0.877974 underground coal 0.504024 standard coal workers 0.472931 active miners 0.38125 national surveillance program 0.420668 coal mining regions 0.475691 coal mining tenure 0.482141 central Appalachia 0.384514 respirable coal 0.489803 continuous miner machine 0.427256 effective dust control 0.419571 surveillance data 0.376741 routine national surveillance 0.372837 Surveillance Program participation 0.375346 U.S. coal miners 0.597795 state coal workforce 0.464741 coal workers 0.938594 public health practice 0.372692 underground coal seams 0.468872 practice-identified PMF 0.404223 Coal Mine Health 0.506316 voluntary Coal Workers 0.484408	low Coal Workers 0.48414 Coal Act 0.493824 machine extracts coal 0.452717 simple coal workers 0.480765 active coal miners 0.527997 coal production 0.443758 eastern Kentucky 0.432875 NIOSH Coal Workers 0.48097 seam coal mining 0.474867 progressive massive fibrosis 0.402314 PMF onset 0.392805 coal mine dust 0.515938 Federal Coal 0.459389 Surveillance Program data 0.379763 pneumoconiosis surveillance 0.382382 continuous miners 0.383326 roof bolters 0.373425 coal mining jobs 0.470393 U.S. coal mines 0.519556 PMF 0.552982 coal miner employment 0.473957 Health Surveillance Program 0.595015 small opacity profusion 0.39641 real-time respirable dust 0.372913	CLICK HERE