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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
6332	Centers for Disease Control and Prevention	Html	en	Depression, diabetes, and chronic disease risk factors among US women of reproductive age.	null	past diagnosis 0.345208 risk factors 0.782652 current minor depression 0.253063 mental health 0.200241 disease risk factors 0.422651 reproductive age 0.274282 depression status 0.357977 past depression diagnosis 0.243468	chronic conditions 0.604642 chronic disease risk 0.478946 chronic disease 0.604057 minor depression 0.459815 current depression 0.335059 depression 0.925897 current major depression 0.212198 major depression 0.385793	CLICK HERE
6983	Centers for Disease Control and Prevention	Html	en	Global Health - Sierra Leone	CDC began working in Sierra Leone in 2008 and supports laboratory and surveillance capacity building activities for HIV and other infectious diseases.	CDC Foundation 0.537277 U.S. CDC 0.934353 2014-2015 Ebola response 0.468765 5-year immunization plan 0.390789 infectious disease threats 0.373142 AIDS Relief 0.383123 antimicrobial resistance 0.376909 Emergency Operations Centers 0.371439 national public health 0.55138 extensive global health 0.428695 permanent CDC Country 0.660504 Emergency Plan 0.390637 standard operating procedures 0.358404 World Health Organization 0.422964 vaccine coverage data 0.367658 MoHS immunization activities 0.438689 emergency management 0.37982 public health emergencies 0.414296 national oral polio 0.366406 5-year national laboratory 0.395251 Emergency Operations 0.374957 laboratory systems 0.379283 public health management 0.445759 Health Security Agenda 0.562091	public health information 0.416784 GHSA action packages 0.36874 largest outbreak response 0.430187 Global Health Security 0.73615 Epidemiology Training Program 0.371533 Sierra Leone 0.814147 U.S. President 0.403089 biometrics-based immunization tracking 0.384314 nationwide measles vaccine 0.369103 Infant mortality rate 0.391838 new laboratory tests 0.374518 highest number 0.38021 public health 0.682214 Health Security efforts 0.431873 World Health Statistics 0.432591 infection prevention 0.369913 Central Public Health 0.421044 flaccid paralysis review 0.367846 MoHS disease surveillance 0.445655 public health Emergency 0.442879 Relief building laboratory 0.410229 West Africa 0.38017 public health data 0.417111 CDC technical assistance 0.613478	CLICK HERE
7551	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Histoplasmosis Outbreak Among Day Camp Attendees - Nebraska, June 2012	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.	logistic regression model 0.72839 respiratory illness outbreaks 0.795626 respiratory illness cluster 0.806283 County Health Department 0.780458 Douglas County 0.747162 original MMWR paper 0.731792 U.S. Government Printing 0.729282 endemic areas 0.748107 Human Services 0.803307 common fungal infection 0.746769 test p-value 0.745024 MMWR HTML versions 0.732749 U.S. Department 0.719179 Douglas County Dept 0.717716 camp administrators 0.699555 dirt floors 0.734013 wilderness skill training 0.726182 Laboratory-confirmed histoplasmosis 0.732033 Bryan F. Buss 0.722233 picnic tables 0.976993 electronic PDF version 0.728302 Histoplasma capsulatum antigen 0.766038 recreation division 0.733171 Zoonotic Infectious Diseases 0.721946	histoplasmosis 0.746493 Benjamin J. Park 0.725592 campsites 0.810189 personal protective equipment 0.732735 Career Epidemiology Field 0.723355 potentially contaminated areas 0.735795 additional symptom 0.738612 probable infection source 0.730191 camp arrival 0.704023 separate Internet-based questionnaire 0.734579 camp counselor 0.770558 campsite assignments 0.816981 Public Health Preparedness 0.736631 bat droppings 0.758994 camp attendees 0.753485 case definition 0.740323 Cochran-Armitage test p-value 0.735006 referent group 0.729925 original paper copy 0.72183 exact test p-value 0.739478 camp activities 0.82193 bat guano 0.892122 Kristin Yeoman 0.74041	CLICK HERE
10395	Centers for Disease Control and Prevention	Html	en	DHDSP Data Trends and Maps Indicator Categorizations'DHDSP'CDC	DHDSP Data Trends and Maps Help	Cardiovascular Diseases 0.844935 Risk Factors 0.792209 main categories 0.521361 following priority areas 0.905055 ABCS 0.297158 number 0.251086 Priority Indicators 0.941759	priority indicator 0.668559 AHA 0.288143 Cardiovascular Health Metrics 0.837426 subcategories 0.660988 Healthy People 0.491508 Goals 0.249955 Risk Factors category 0.759515	CLICK HERE
11580	Centers for Disease Control and Prevention	Html	en	NER - Peer-Reviewed Biomonitoring Articles | Environmental Phenols: Bisphenol A (BPA)	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
11949	Centers for Disease Control and Prevention	Html	en	Signos y síntomas | Enfermedad del Ébola	null	average 0.293902 exposure 0.292279 immune response 0.489463 People 0.240303	Ebola infection develop 0.925362 antibodies 0.29025 supportive clinical care 0.690135 Recovery 0.240921	CLICK HERE
12062	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Prevalence and Reasons for Initiating Use of Electronic Cigarettes Among Adults in Montana, 2013 - CDC	We used data from the 2013 Montana Adult Tobacco Survey to estimate the prevalence of electronic cigarette (e-cigarette) use and reasons for initiation among Montana adults. More than 1 in 10 (11.2%, 95% confidence interval [CI], 9.1%–13.2%) adults reported ever using e-cigarettes, and 1.3% (95% CI, 0.7%–1.9%) reported current use. Most respondents reported “trying something new” (64%) or “trying to quit or reduce cigarette use” (56%) as a reason for initiating use. Ongoing surveillance of these addictive products is needed.	older adult e-cigarette 0.682942 Montana adults 0.887587 electronic cigarette 0.939182 electronic cigarette users 0.758696 frequently reported reasons 0.756359 electronic cigarettes 0.745437 population-based telephone survey 0.686319 adult respondents 0.67433 Human Services 0.946114 Adult Tobacco Surveys 0.704112 landline telephone numbers 0.6755 cigarette smoking 0.770637 prevalence 0.696118 current cigarette smokers 0.845102 younger adult e-cigarette 0.687146 older e-cigarette users 0.678226 tobacco control programs 0.674496 Disease Control 0.729906 Youth Tobacco Survey 0.682242 cigarette sales 0.705886 Fewer respondents 0.653989 Adult Tobacco Survey 0.97302 cigarette consumption 0.683318 public health 0.886258	younger e-cigarette users 0.682341 Montana Adult Tobacco 0.846416 current e-cigarette users 0.714128 e-cigarette users 0.88901 health education strategies 0.654743 answered telephone calls 0.657966 prevention programs 0.660198 e-cigarettes 0.826186 Tob Control 0.657419 long-term health effects 0.651538 noninstitutionalized Montana adults 0.716127 tobacco products 0.682608 public health efforts 0.689384 Native e-cigarette users 0.687553 Nicotine Tob Res 0.655266 young adults 0.713782 Weighted prevalence estimates 0.688967 Public Health Service 0.65813 adult e-cigarette users 0.77379 Survey Research Organizations 0.664129 Electronic nicotine delivery 0.653136 cellular telephone respondents 0.73371 Montana Department 0.708679	CLICK HERE
12686	Centers for Disease Control and Prevention	Video	en	Global Disease Detectives	CDC global health leadership brings the world's leading public health experts to a Guatemala cave, where rabid bats threaten human health. Elsewhere, CDC community workers keep a health watch over Kenya's poor; while in China, CDC scientists protect babies from a mysterious outbreak. These examples of CDC at work in the world help protect America and all from disease threats that respect no borders. 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://www.cdc.gov/cdctv/DiseaseDetectives	Global Disease Detectives 0.934136		CLICK HERE
15341	Centers for Disease Control and Prevention	Image	null	Clean It Up, Swimmers	null			CLICK HERE
15989	Centers for Disease Control and Prevention	Html	en	Thank You, CDC Influenza Molecular Diagnostic Performance Evaluation Exercise Enrollment	This website is intended to facilitate technical support for domestic U.S. and international public health and research institutions performing influenza laboratory surveillance and/or research.	Influenza Diagnostic Testing 0.368017 Flu Illness 0.465741 Flu Viruses 0.578597 Flu Vaccines 0.718731 U.S. Influenza Surveillance 0.359587 Vaccine Benefits 0.27901 Prevent Flu 0.528704 Influenza Testing Results 0.406465 Flu Good Health 0.518459 Influenza Viruses 0.409303 Seasonal Influenza Vaccine 0.650023 Quadrivalent Influenza Vaccine 0.557727 Intradermal Influenza 0.318457 Flu Adults 0.479376 Flu Activity 0.465305 Influenza Pandemic Virus 0.374647 Flu Vaccine 0.897973 (Flu) 0.791257 ) Vaccination 0.578942 Influenza Vaccines 0.452865 United States Flu 0.499946 Vaccine Safety Vaccine 0.502287 Antiviral Drugs Antiviral 0.291442 Influenza Viruses Types 0.401434 Flublok Seasonal Influenza 0.382795	Vaccination Flu Vaccination 0.56543 High-Dose Seasonal Influenza 0.385031 Control Influenza Transmission 0.339302 Flu Antiviral Drugs 0.723605 CDC International Flu 0.511398 CDC Influenza Molecular 0.488287 Distribution Vaccine Supply 0.301129 Prevent Flu Preventive 0.505969 Flu Vaccine Recommendation 0.657322 Flu Treatment 0.485735 Influenza Vaccination Clinic 0.38851 Flu News 0.415385 Flu Complications 0.446476 Flu Season Flu 0.971451 Diagnosis Flu Symptoms 0.509214 Flu Vaccine Safety 0.747052 Cell-Based Flu Vaccines 0.566465 Flu Season Current 0.534751 Vaccine Virus Selection 0.299231 Vaccine Effectiveness 0.325266 Flu Vaccines Work 0.579262 Influenza Vaccine Doses 0.551841 Past Flu Seasons 0.509974 Influenza 2015-2016 Season 0.398568	CLICK HERE