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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
6286	Centers for Disease Control and Prevention	Html	en	Science Clips - Monday, September 26, 2011	null	phone text-message reminders 0.797065 seasonal influenza vaccination 0.794991 pediatric emergency departments 0.792241 World Trade Center 0.800199 California family planning 0.802954 CDC Science Clips 0.985392 suicide incident characteristics 0.785354 abnormal vaginal flora 0.7852 Kenyan health workers 0.813223 Infectious Diseases Society 0.880498 St Peter SD 0.805515 Brain Attack Coalition 0.788652 tuberculosis screening 0.76682 malaria treatment guidelines 0.807846 Chief Science Officer 0.819957 Chlamydia partner services 0.794066 Gynecologic Cancer Campaign 0.793514 primary stroke centers 0.801971 active antiretroviral therapy 0.797767 clinical practice guidelines 0.811654 sexually transmitted diseases 0.80338 spontaneous preterm birth 0.791225 health care settings 0.807493 Respiratory protective equipment 0.795141 Stephen B. Thacker 0.910377	rapid screening assays 0.792947 Sep 0.787843 transmitted disease detection 0.804637 United States 0.861068 Potential Risk Estimation 0.797992 Human papillomavirus testing 0.793611 African American men 0.799665 multiplex PCR techniques 0.788004 primary cervical screening 0.792354 relative disease burden 0.791286 family planning clinics 0.893752 sexual health clinics 0.807862 date palm sap 0.792393 Pediatric Infectious Diseases 0.805281 System-17 U.S. states 0.802999 public health literature 0.806988 B. Thacker CDC 0.974808 Ind Med. 0.804822 systematic review 0.794251 drug-resistant tuberculosis 0.777013 original sources 0.769943 Oude Griep LM 0.814548 National Violent Death 0.79528 national survey data 0.797874	CLICK HERE
6632	Centers for Disease Control and Prevention	Html	en	Outbreak of Salmonellosis Associated with Pet Turtle Exposures - United States, 2011	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. 0.622322 small turtles 0.996143 Human Services 0.687131 assistive technology 0.615201 Casey Barton Behravesh 0.671191 U.S. Department 0.68138 MMWR HTML versions 0.679033 human Salmonella Paratyphi 0.768364 electronic PDF version 0.678087 turtle tank water 0.710944 young children 0.780088 Zoonotic Infectious Diseases 0.675615 ongoing investigation 0.610431 tartrate + infections 0.638935 greater risk 0.601178 median age 0.609409 Contact GPO 0.610384 transient vendors 0.609878 particular risk 0.608732 flea markets 0.604371 public education efforts 0.681225 Paratyphi B var 0.718031 original paper copy 0.67214 tartrate + infection 0.621947	effective public health 0.695986 serotype Paratyphi 0.615698 pet turtle exposures 0.73026 ongoing outbreak 0.613515 United States 0.607826 original MMWR paper 0.686045 federal district court 0.680541 U.S. Government Printing 0.678515 human Salmonella 0.942045 Jeshua Pringle 0.605488 South Carolina 0.601748 MMWR readers 0.601566 illegal purchase 0.604158 human Salmonella infections 0.929911 carapace lengths 0.614253 Janell Routh 0.70513 outbreak strain 0.619636 30-year ban 0.63003 subject line 0.615165 patient homes 0.601978 turtle-associated salmonellosis 0.60171 Pennsylvania State Health 0.730943 ban enforcement efforts 0.704805 Independent Turtle Farmers 0.704269	CLICK HERE
6850	Centers for Disease Control and Prevention	Html	en	Tuberculosis Outbreak Associated with a Homeless Shelter - Kane County, Illinois, 2007-2011	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.	latent TB infection 0.502116 County Health Dept 0.41977 additional TB cases 0.541883 homeless shelter 0.42196 excess alcohol 0.439581 TB control efforts 0.643052 institutional TB control 0.509271 case-control study 0.441919 outbreak 0.593397 health department staff 0.381161 overnight guests 0.41112 additional cases 0.387207 TB Prevention 0.514955 TB disease cost 0.523998 LTBI treatment 0.387152 overnight shelter guests 0.500445 patients 0.471597 additional outbreak cases 0.427508 infectious periods 0.398597 outbreak TB 0.551766 public health officials 0.741578 outbreak case 0.448723 M. tuberculosis 0.455907 TB control 0.657521	homeless persons 0.606958 shelter staff members 0.490416 outbreak genotype pattern 0.541124 treatment 0.391765 shelter 0.586761 subsequent investigation 0.437737 United States 0.439353 outbreak-associated TB 0.517225 TB disease 0.938271 genotype patterns 0.383847 infectious pulmonary TB 0.523657 TB transmission 0.494572 infectious outbreak case 0.433859 smear–positive TB disease 0.544474 tb elimination 0.63241 staff members 0.50847 active TB 0.477811 health department 0.42647 TB symptom screening 0.510626 TB 0.980268 TB genotype pattern 0.547776 potential outbreak 0.399647 TB outbreaks 0.485945 outbreak patients 0.406899	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
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
16151	Centers for Disease Control and Prevention	Html	en	Healthcare Exposure to Zika and Infection Control | Zika virus	Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention.	infectious status 0.266987 Zika Transmission webpage 0.330637 current general strategy 0.290018 Zika Virus English 0.336339 transmissible infectious agents 0.329252 Healthcare textiles 0.266514 suspected Zika virus 0.328567 public health authorities 0.296502 occupational health office 0.306921 infectious disease transmission 0.332703 FDA-cleared sterilant/high-level disinfectants 0.291285 percutaneous exposure 0.425579 potential Zika exposure 0.373198 individual healthcare personnel 0.332481 family members 0.326742 personal protective equipment 0.301317 non-intact skin 0.431355 Zika virus disease 0.398386 infectious materials 0.269902 body fluids 0.837172 Zika virus transmission 0.358 Pregnant healthcare personnel 0.337894 individual occupational health 0.302453 healthcare personnel 0.912766	patient care duty 0.306875 infectious material 0.271489 Dental Health-Care Settings 0.286512 Standard Precautions 0.654167 vaginal secretions 0.280107 Routine Zika testing 0.319561 Zika virus infection 0.502568 occupational exposure 0.44559 hygienic laundry processing 0.290377 mucous membranes 0.55351 EPA-registered hospital disinfectant 0.293851 product label instructions 0.293764 zika virus 0.83117 asymptomatic healthcare personnel 0.409524 patient 0.324659 potential exposure 0.316597 source patient 0.268554 FDA-cleared low-temperature sterilization 0.294351 special reprocessing strategy 0.291144 blood 0.308845 strict adherence 0.290848 symptomatic healthcare personnel 0.3289 following precautions 0.281018 healthcare settings 0.266217	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