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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
4505	Centers for Disease Control and Prevention	Html	en	CDC A-Z Index - A	CDC A-Z Index	Microsoft PowerPoint file 0.559669 Acinetobacter Infection 0.624625 Blood Lead Epidemiology 0.678927 Immunodeficiency Syndrome 0.554816 Aortic Aneurysm 0.694565 Bacterial Core surveillance 0.674637 Microsoft Word file 0.563284 Adverse Childhood Experiences 0.686885 Abdominal Aortic Aneurysm 0.60101 Search Form Controls 0.699802 Adult Blood Lead 0.671763 CDC Experience Applied 0.658154 Animal Product Importation 0.656746 Ascaris Infection 0.648295 Arenavirus Infection 0.607788 CDC Science 0.610138 Immunization Practices 0.56292 Amyotrophic Lateral Sclerosis 0.639463 Infection Prevention 0.628314 Adverse Drug Events 0.565035 A-Z Index 0.973336 Applied Epidemiology Fellowship 0.627426 Anisakis Infection 0.619721 Bacillus anthracis Infection 0.666211	Microsoft Excel file 0.558371 Active Bacterial Core 0.671029 Acanthamoeba Infection 0.628244 Immune Deficiency Syndrome 0.665665 Contact CDC 0.596521 Atrial fibrillation 0.547494 Search The CDC 0.63894 page options Skip 0.577288 Ancylostoma duodenale Infection 0.674119 Form Controls TOPIC 0.552849 Blood Lead Levels 0.545947 different file formats 0.561077 AFIX Immunization Strategy 0.56072 Adenovirus Infection 0.63696 Alkhurma hemorrhagic fever 0.639622 Apple Quicktime file 0.554366 Aspergillus Infection 0.642081 Adverse Event Reporting 0.562912 Necator americanus Infection 0.669419 Molecular Detection 0.551445 Angiostrongylus Infection 0.622315 Attention Deficit/Hyperactivity Disorder 0.65238 CDC A-Z Index 0.800111	CLICK HERE
6192	Centers for Disease Control and Prevention	Html	en	Associations of American Indian children's screen-time behavior with parental television behavior, parental perceptions of children's screen time, and media-related resources in the home.	null	media-related resources 0.332097 current study 0.316565 Bright Start 0.306973 screen time behavior 0.232252 television behavior 0.206224 parental bmi 0.371984 parental role 0.228118 children’s screen 0.488336 media-related household resources 0.265489 child screen 0.207395 child television time 0.23106 child’s television 0.219704 children 0.628936 American Indian children 0.400995 video game player 0.502452 Indian 4-year-old children 0.20416 young children 0.22654 obesity prevention 0.216557 VCR/DVD player 0.376873 behavior 0.297067 sedentary behavior 0.232979 Positive parental involvement 0.211595 Pine Ridge Reservation 0.309532	parental television watching 0.747728 younger children 0.221747 Parental role modeling 0.215868 television watching time 0.704175 body mass index 0.297981 Oglala Lakota youth 0.214202 parental body mass 0.241419 parental behavior 0.230484 relative socioeconomic status 0.24277 home 0.204668 parental roles 0.20422 parental perception 0.33425 parental daily television 0.252495 screen-time behavior 0.24419 parental demographic characteristics 0.223235 daily screen time 0.211205 television time 0.254845 screen time 0.901407 parental perceptions 0.449944 older children 0.204107 parental influence 0.230545 parents 0.368364	CLICK HERE
6734	Centers for Disease Control and Prevention	Html	en	Global Health - Bangladesh	The Centers for Disease Control and Prevention (CDC) has been collaborating with the International Centre for Diarrheal Disease Research (ICDDRB) over the last 40 years – most recently to strengthen the country’s capacity to detect emerging infectious diseases and to evaluate new vaccines and other interventions. A strong collaboration between CDC and the Institute of Epidemiology Disease Control and Research (IEDCR) within the Bangladesh Ministry of Health and Family Welfare has further strengthened the country’s ability to detect and respond to disease threats. Since 2002, a CDC medical epidemiologist has led the Program on Infectious Diseases and Vaccine Sciences at ICDDRB.	country 0.344364 poultry workers 0.546479 endorsement 0.372122 infectious diseases 0.858787 investigations 0.339361 sites 0.363896 training 0.344052 capacity 0.350962 Detection Center 0.561213 Content source 0.538979 HHS 0.378639 government 0.339231 Notice 0.347256 avian influenza surveillance 0.841565 public health professionals 0.733934 Download Overview Fact 0.772822 Dhaka City Live 0.775649 short course 0.535106	CDC Global Disease 0.958545 trainings 0.38233 Bangladesh 0.64971 national influenza surveillance 0.84338 interventions 0.365314 non-federal site 0.587757 partners 0.34391 response 0.340612 collaboration 0.34029 years—most 0.344505 district 0.338471 tertiary care hospitals 0.77363 rapid detection 0.559585 employees 0.336985 Bird Markets 0.539534 Sheet 0.339945 acute disease outbreak 0.795615	CLICK HERE
8119	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Implications of Lessons LearnedFrom Tobacco Control for Tanning Bed Reform - CDC	Tanning beds used according to the manufacturer’s instructions expose the user to health risks, including melanoma and other skin cancers. Applying the MPOWER model (monitor, protect, offer alternatives, warn, enforce, and raise taxes), which has been used in tobacco control, to tanning bed reform could reduce the number of people at risk of diseases associated with tanning bed use.	best public health 0.530645 Cancer Council Victoria 0.582696 skin cancer 0.559245 United States 0.602566 public health interventions 0.536712 tobacco consumption 0.550072 tanning bed operations 0.90734 tanning bed exposure 0.798155 Antitobacco public health 0.529911 multiple tanning sessions 0.755963 tobacco control initiatives 0.573856 young people 0.562869 bed franchise owners 0.535129 Australian Tanning Association 0.733374 bed industry 0.59335 bed advertising 0.545224 tobacco 0.832608 C. Tobacco advertising 0.559711 unsupervised tanning bed 0.864319 public health 0.746555 harmful tanning behaviors 0.73541 young compliance monitors 0.547826 -emitting tanning beds 0.841057	bed industries 0.612061 Tanning Truth 0.71836 bed industries share 0.570814 Indoor Tanning Association 0.834922 sunless tanning products 0.740281 bed policy reform 0.530586 bed operators 0.573521 licensed tanning bed 0.780067 tobacco industry 0.664732 tobacco companies 0.532159 Tobacco advertising 0.566128 tobacco products 0.52944 bed services 0.546126 sun tanning 0.70511 youth tobacco laws 0.576467 compliance monitoring 0.554193 indoor tanning legislation 0.719478 tobacco control programmes 0.553163 tobacco control efforts 0.564616 health risks 0.590642 social norms 0.533033 fair skin 0.533732 tobacco control 0.70232	CLICK HERE
9215	Centers for Disease Control and Prevention	Html	en	National Healthy Worksite Program (NHWP) - Webinar Archives	This page contains archived webinar videos, slides, issue briefs, and links to CEU credits related to CDC National Healthy Worksite Program presentations	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
9585	Centers for Disease Control and Prevention	Html	en	Updated Information on the Epidemiology of Middle EastRespiratory Syndrome Coronavirus MERS-CoV Infection and Guidancefor the Public, Clinicians, and Public Health Authorities,2012-2013	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.	febrile respiratory illness 0.490427 CDC 0.57555 CDC guidance 0.501185 Lancet Infect Dis 0.483708 symptom onset 0.490799 east respiratory syndrome 0.880911 respiratory distress syndrome 0.49628 CDC Emergency Operations 0.48342 case definitions 0.531979 World Health Organization 0.617205 persons 0.528815 MERS-CoV patients 0.487422 Saudi Arabia Ministry 0.472575 state public health 0.466321 illness onset 0.487853 human infection 0.513598 Emerg Infect Dis 0.493151 probable MERS-CoV infection 0.512232 Arabian Peninsula 0.556788 executive order 0.471603 probable case 0.47611 respiratory illness 0.578343 United States 0.53251 infection control 0.58132	Infect Dis 0.493639 Saudi Arabia 0.765582 Middle East 0.71897 acute respiratory syndrome 0.485317 close contact 0.47211 Health Regulations Emergency 0.469746 Case count 0.482656 respiratory diseases 0.485114 public health emergency 0.472226 local health departments 0.543665 public health 0.56773 patient evaluation 0.481428 cases 0.533638 Middle East Respiratory 0.492764 United Arab Emirates 0.543679 MERS-CoV infection cases 0.515964 MERS-CoV infection 0.749443 common respiratory pathogens 0.486941 health-care provider 0.501382 respiratory syndrome coronavirus 0.910059 syndrome coronavirus infection 0.596354 severe respiratory illness 0.502634 et al 0.558446 syndrome coronavirus disease 0.48551	CLICK HERE
9821	Centers for Disease Control and Prevention	Html	en	CDC finds cluster of newborns in Tennessee with bleeding disorder | CDC Newsroom | CDC	CDC finds cluster of newborns in Tennessee with bleeding disorder	Antibiotics Work 0.673735 Dr. Lauri Hicks 0.520145 American Academy 0.471204 European Antibiotic Awareness 0.643661 accurate prescribing strategies 0.523588 new report  Principles 0.533948 responsible antibiotic prescribing 0.701882 CDC experts 0.490217 Disease Control 0.471055 medicine cabinet 0.464106 U.S. children 0.478984 landmark CDC report 0.557823 Twitter chat 0.464108 viral diagnoses 0.46925 significant factor 0.466681 health care providers 0.517211 upper respiratory conditions 0.559702 detailed clinical criteria 0.518578 CDC Director Tom 0.550151 shortest duration 0.468692 Smart About Antibiotics 0.85459 sore throats 0.477373 antibiotic-resistant bacteria 0.47272 Public Health Grand 0.514864	concurrent bacterial infection 0.53659 antibiotics 0.910947 antibiotic prescriptions 0.685506 sinus infections 0.524738 children’s risk 0.468405 common infections 0.522838 fewer chances 0.466594 for-profit partners 0.463973 recent AAP guidance 0.534121 State health departments 0.51298 respiratory tract infections 0.834831 Weigh benefits 0.46817 antibiotic resistance 0.780629 upper respiratory tract 0.793071 appropriate dose 0.465726 Symptom reduction 0.465613 Judicious Antibiotic Prescribing 0.68424 Bacterial Upper Respiratory 0.562603 secondary cases 0.464589 antibiotic side effects 0.594586 appropriate antibiotic 0.602654 ear infections 0.522127 Antibiotics Work program 0.673486 Dr. Frieden 0.474272	CLICK HERE
10456	Centers for Disease Control and Prevention	Html	en	Email Updates: July 30, 2012'Clinicians Outreach and Communication Activity (COCA)	CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism.	CDC 0.950706 salmonella hadar infections 0.685748 Public Health Matters 0.610054 (EDT) 0.584906 appropriate opioid prescribing 0.558209 FDA Safety Information 0.555361 Enteritidis Infections Linked 0.564057 influenza virus outbreak 0.574736 Health Inspection Service 0.5753 – (CDC) 0.67386 Health Care Professionals 0.583267 CDC Science Clips 0.759439 Additional COCA Conference 0.59492 public health surveillance 0.774427 important safety information 0.548961 subject matter experts 0.554923 Free CE credit/contact 0.544078 on-demand emergency preparedness 0.581855 EID Home Page 0.543242 Adelphi University Center 0.541643 Current Travel Warnings 0.5345 public health officials 0.583738 122-Cities Mortality Reporting 0.537953 Event Reporting Program 0.538027 emergency preparedness 0.60881	human salmonella hadar 0.678116 recent national poll 0.537966 multistate outbreak 0.616705 United States 0.559398 COCA Email Update 0.605881 public health community 0.611249 adverse health effects 0.596235 21st century 0.538908 safety information 0.597427 COCA Call/Webinar 0.537472 Hadar Infections Linked 0.565803 public health 0.991136 outbreak strain 0.557972 Specific Hazards preparedness 0.576763 CDC scientists 0.693134 personal preparedness behaviors 0.577786 disaster risk reduction 0.542071 CDC Reports Cases 0.731197 FoodSafety.gov Reports FDA 0.552686 salmonella enteritidis infections 0.679647 USDA Food Recalls 0.535238 Response Training Resources 0.553868 CDC subject matter 0.764238 public health research 0.611629	CLICK HERE
11463	Centers for Disease Control and Prevention	Html	en	New CDC state obesity map now available | Media Advisory | CDC Online Newsroom | CDC	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	adult obesity prevalence 0.79537 latest CDC map 0.593165 self-reported information 0.524613 highest prevalence 0.690714 additional maps 0.498187 state estimates 0.522433 state-based tracking 0.496809 Nutrition Examination Survey 0.548784 U.S. territories 0.48856 obesity prevalence 0.964461 monitor rates 0.479855 Montana 0.41575 state.  Estimates 0.508526 weight 0.429548 California 0.415785 National Health 0.484389 West Virginia. 0.496205 Mississippi 0.427671 Columbia 0.430111 impact estimates 0.509416 United States.  Data 0.560466 HUMAN SERVICES 0.48383 Behavioral Risk Factor 0.588491 District 0.430128	telephone surveys 0.488443 state-level adult obesity 0.692812 chronic health conditions 0.561128 percent 0.652047 South Carolina 0.492961 major public health 0.552086 race/ethnicity 0.416136 West Virginia 0.494115 self-reported obesity 0.669234 Colorado 0.427883 Massachusetts 0.415759 non-Hispanic blacks 0.514431 U.S. DEPARTMENT 0.487078 data sets 0.537017 non-Hispanic whites 0.510968 North Dakota 0.494378 health-related behaviors 0.489737 50 states 0.488858 U.S. adults 0.490663 Hawaii 0.415768 new baseline 0.487358 U.S. states 0.510092 preventive services 0.486659 self-reported height 0.542649	CLICK HERE
16492	Centers for Disease Control and Prevention	Html	en	Adverse Health Effects Associated with Living in a FormerMethamphetamine Drug Laboratory - Victoria, Australia, 2015 |MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	drug exposure levels 0.497066 clandestine drug laboratory 0.494947 methamphetamine laboratory 0.539593 hair wash 0.48151 methamphetamine levels 0.649347 potential health risk 0.475975 methamphetamine 0.773258 children 0.531765 hair methamphetamine level 0.584817 contamination levels 0.472929 methamphetamine contamination 0.557437 family members 0.69946 rural Victoria 0.47077 methamphetamine drug residues 0.584767 highest measured levels 0.470791 BASC-2 testing 0.470436 public health risks 0.474775 public health practice 0.482026 lower levels 0.485545 youngest child 0.527264 clandestine manufacture 0.511405 elevated methamphetamine levels 0.58606 environmental methamphetamine 0.557043 Female Persistent cough 0.493291	substantial health effects 0.476814 health effects 0.9165 family present evidence 0.468318 highest methamphetamine levels 0.639755 methamphetamine exposure 0.534348 drug laboratory 0.496225 South Australia 0.50274 adverse health effects 0.8547 clandestine manufacture results 0.48421 elevated hair levels 0.497706 hair sample collection 0.48597 younger children 0.486903 hair growth rate 0.484709 environmental methamphetamine contamination 0.555402 clandestine methamphetamine drug 0.61624 home 0.576855 watery eyes 0.530099 methamphetamine surface contamination 0.561344 hair samples 0.835403 behavioral issues 0.494271 external hair wash 0.481043 clandestine drug laboratories 0.672861 low-level methamphetamine 0.525348 active methamphetamine drug 0.561549	CLICK HERE