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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
747	Centers for Disease Control and Prevention	Html	en	Outbreak of Escherichia coli O104:H4 Infections Associatedwith Sprout Consumption - Europe and North America, May-July2011	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.	outbreak vehicle 0.345529 robust public health 0.411199 Foodborne Outbreak Listserv 0.418584 Shiga toxin 0.359822 raw sprouts 0.325763 Escherichia coli 0.365278 public health authorities 0.516905 German HUS patients 0.362963 U.S. Department 0.340705 Health Alert Network 0.326736 STEC diagnostic testing 0.450257 Shiga toxin–positive stool 0.331072 outbreak management 0.347476 outbreak 0.590926 foodborne disease surveillance 0.328541 novel STEC pathogens 0.522365 non-O157 illness-causing STEC 0.453281 traceback investigations 0.405795 German public health 0.350442 laboratory-confirmed STEC infections 0.447817 World Health Organization 0.331356 Shiga toxin–positive specimens 0.32799 STEC outbreak worldwide 0.562952 state public health 0.342271 public health laboratories 0.403645	International Health Regulations 0.331584 new cases 0.332476 Germany 0.326181 public health infrastructure 0.482923 outbreak pathogens 0.362877 Shiga toxin–positive diarrheal 0.344198 United States 0.785287 hemolytic uremic syndrome 0.387413 STEC O104 0.930263 non-O157 STEC 0.538006 U.S. cases 0.33411 public health 0.75801 outbreak strain 0.462891 Enteroaggregative STEC O104 0.504362 cases 0.432546 STEC testing recommendations 0.508094 HUS 0.378674 STEC diarrheal illness 0.504688 HUS cases 0.350066 Robert Koch Institute 0.391968 raw fenugreek sprouts 0.433152 large outbreak 0.345798 STEC O157 0.464461 food consumption commonalities 0.331115	CLICK HERE
926	Centers for Disease Control and Prevention	Html	en	H7N9 Case Detected in Malaysia	H7N9 Case Detected in Malaysia - CDC	risk assessment 0.786511 CVV 0.445898 avian influenza 0.563111 CDC 0.487944 poultry exposure 0.655622 traveler 0.608129 evidence 0.452534 United States 0.539506 human cases 0.631417 birds 0.426311 H7N9 case 0.547669 H7N9 vaccine 0.541132 global outbreak 0.52803 human-to-human spread 0.572803 neighboring countries 0.524943 international partners 0.518391 international surveillance 0.647656 scenario 0.425549 China 0.760647 continue 0.42441 infected poultry 0.558357 U.S. Government 0.530856 new H7N9 virus 0.886318 H7N9 situation 0.537505	clinical trials 0.5278 public health risk 0.629054 candidate vaccine virus 0.668325 event 0.424029 routine preparedness actions 0.632446 area 0.426085 detection 0.452809 suitability 0.426514 contaminated environments 0.542127 people 0.452743 limited amounts 0.529473 symptoms 0.42906 human infections 0.651184 new virus 0.558608 influenza viruses 0.666796 transmissibility 0.425117 important factor 0.532534 pandemic potential 0.785168 ongoing person-to-person spread 0.909229 H7N9 0.887027 Malaysian Ministry 0.555623 time 0.481127 threat 0.425133	CLICK HERE
4425	Centers for Disease Control and Prevention	Html	en	Diseases & Conditions A-Z Index - N	CDC Diseases and Conditions A-Z Index	MPEG 0.741242 site 0.541063 PDF 0.544429	PPT 0.837268 DOC 0.733754	CLICK HERE
5405	Centers for Disease Control and Prevention	Html	en	Science Clips - Monday, June 13, 2011	null	passive sampling methods 0.764975 childhood maltreatment experiences 0.811157 influenza vaccination coverage 0.776304 Obstet Gynecol. 0.773729 Res Clin Pract. 0.78696 ovarian cancer mortality 0.770141 undiagnosed HIV infection 0.772325 CDC Science Clips 0.881279 Ann Occup Hyg. 0.768609 Youth Risk Behavior 0.776133 PLCO Project Team 0.765114 Nutrition Examination Survey 0.773868 Evid Based Med. 0.777489 human monoclonal antibody 0.766003 automated genotyping tool 0.766967 cell renal cell 0.76943 virulent Venezuelan equine 0.765109 maltreatment timing 0.779955 Chief Science Officer 0.782489 chronic maltreatment 0.780962 Jamieson DJ 0.767974 Randomized Controlled Trial 0.774553 popular opinion leaders 0.76841 Environ Health. 0.774266 Stephen B. Thacker 0.843323	public health quandary 0.785362 Child Maltreat. 0.772282 United States 0.912274 child sexual abuse 0.784163 Linked Mortality Study 0.777301 pentavalent rotavirus vaccine 0.774425 pandemic influenza 0.807959 sexually transmitted infections 0.764874 Acquir Immune Defic 0.838556 child welfare recidivism 0.775675 Low-level lead exposure 0.769437 hospital cafeteria worker 0.768286 Varicella zoster virus 0.765469 Jun 0.837979 Immune Defic Syndr. 0.838547 randomised controlled trial 0.774969 public health literature 0.772776 B. Thacker CDC 0.870223 child maltreatment 0.86464 randomized dismantling field 0.766717 pandemic influenza vaccines 0.787688 Clin Vaccine Immunol. 0.778157 child maltreatment prevention 0.833003 Health Serv Res. 0.774051	CLICK HERE
5548	Centers for Disease Control and Prevention	Html	en	Sodium bisulfite - 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
8275	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Recruitment and Retention ofPregnant Women for a Behavioral Intervention: Lessons from theMaternal Adiposity, Metabolism, and Stress MAMAS Study -CDC	Recruiting participants for research studies can be challenging. Many studies fall short of their target or must prolong recruitment to reach it. We examined recruitment and retention strategies and report lessons learned in a behavioral intervention developmental trial to encourage healthy pregnancy weight gain and stress reduction in low-income overweight pregnant women.	francisco bay area 0.679178 study participants 0.651465 healthy pregnancy weight 0.646725 prenatal behavioral intervention 0.627398 child care costs 0.624855 pregnancy weight gain 0.649335 low-income study participants 0.649307 hospital-based prenatal clinics 0.870349 pregnant women 0.948162 recruitment 0.717647 clinic staff 0.678502 recruit low-income women 0.640665 gestational age 0.711307 social service providers 0.623704 San Francisco Bay 0.67946 8-week behavioral intervention 0.621619 behavioral intervention 0.676379 low-income women 0.688738 stage pregnant women 0.663755 intervention participants 0.651081 California Pacific Medical 0.618365 intervention 0.71233 obese women 0.631784 study 0.738022 Phase 0.662909	Introduction Recruiting participants 0.630155 weight gain 0.679954 intervention developmental trial 0.621679 gestational weight gain 0.62321 child care 0.714388 8-week intervention 0.618669 social services agencies 0.651552 focus groups 0.683691 overall study retention 0.614736 eligible women 0.855719 intervention development trial 0.6232 eligible participants 0.636194 federal poverty guidelines 0.674974 prenatal care providers 0.720656 social services providers 0.620009 low-income minority women 0.620264 annual household income 0.668159 group intervention 0.619645 focus group participants 0.740486 inflexible work schedules 0.613027 San Francisco 0.727267 overweight pregnant women 0.718981 obese pregnant women 0.868419 retention rates 0.65285	CLICK HERE
8340	Centers for Disease Control and Prevention	Html	en	TB - Basic TB Facts - TB Personal Stories	Division of Tuberculosis Elimination	Danielle 0.310493 latent TB infection 0.715648 country 0.321504 United States 0.462304 respiratory illness 0.352125 borders 0.310153 multidrug-resistant TB 0.628829 TB disease 0.750104 Tri 0.319288 girls 0.30977 poor health 0.34645 life-threatening problem 0.360731 odd lump 0.352164 Liliana 0.312359 personal experiences 0.358395 Rosalie 0.322163 13-month-old boy 0.349635 MDR TB 0.602197 numerous misdiagnoses 0.354598 life-saving treatment 0.354205 high school student 0.385627 n’t finish treatment 0.38503 Martha 0.309726 health screening 0.351336	daughter Faith 0.346858 young daughters 0.353062 Bhutan 0.311235 stories 0.310562 Mabruka 0.309662 physical therapist 0.350042 Francene 0.313428 multidrug-resistant tuberculosis 0.350862 loves-playing basketball 0.348158 people 0.322036 Esteban 0.312422 TB 0.90208 Deo 0.312488 help 0.309702 TB meningitis 0.557601 TB nurse 0.584589 Video 0.331851 medical professional 0.354967 South Africa 0.350272 peer counselor 0.350563 infant son 0.348006 age 0.319228 Ethiopia 0.310471	CLICK HERE
12085	Centers for Disease Control and Prevention	Html	en	Healthy Places - Recent Accomplishments - Healthy Community Design Data	Designing and Building Healthy Places	Travel Survey data 0.65619 potential health effects 0.714037 health impact assessment 0.718178 health impact 0.807927 unhealthy air quality 0.660423 health disparities 0.639548 bicycling routes 0.61182 pedestrian crossing islands 0.733515 positive health outcomes 0.714705 transportation modeling techniques 0.663586 busy street crossings 0.657354 transportation systems 0.619605 adverse birth outcomes 0.672122 scale design interventions 0.692549 Community Design Initiative 0.653302 Enhanced pedestrian crossing 0.728271 community design 0.656001 traditional public health 0.710544 Health Tool 0.633194 HIA data 0.620338 annual medical cost 0.673165 health criteria 0.626535 American Planning Association 0.642461 times more pedestrian 0.65527	health care utilization 0.711235 specialized surface treatments 0.657192 transportation infrastructure 0.607046 United States 0.65964 adverse health outcomes 0.723539 adverse health effects 0.729804 Physical Activity Guidelines 0.713585 Metropolitan Planning Organization 0.641446 physical activity.2 0.615112 public health 0.739708 potential public health 0.715002 regional comprehensive plans 0.640442 bicyclist fatalities 0.607719 pedestrian bridges 0.643395 high school students 0.674671 physical activity 0.964527 pedestrian crossing signals 0.868926 commonly reported form 0.664088 National Park Service 0.640571 transportation planning 0.620292 health-promotive built environment 0.651989 Health impact assessments 0.703604 Phys Act Health. 0.646091 Health Workbook 0.630877	CLICK HERE
12190	Centers for Disease Control and Prevention	Html	en	Pregnant Women and Flu Vaccination, Internet Panel Survey, United States, November 2014	CDC Centers for Disease Control and Prevention Influenza Flu - findings from the Internet Panel Survey of pregnant women flu vaccination in the United States for the 2014-15 flu seasons.	2009-10 flu season 0.282137 national flu vaccination 0.317971 early flu season 0.306652 vaccination campaigns 0.211003 flu season vaccination 0.369573 vaccination status questions 0.228523 higher vaccination coverage 0.249069 severe flu 0.230605 flu infection 0.224179 flu vaccine 0.267762 flu activity 0.244137 flu vaccination coverage 0.959649 vaccination coverage estimates 0.22974 internet panel survey 0.371197 Influenza vaccination coverage 0.223898 pregnant women 0.929111 unvaccinated pregnant women 0.215186 Inform pregnant women 0.214305 flu shots 0.291081 end-of-season flu vaccination 0.315922	2010-11 flu season 0.264829 vaccination status 0.250666 flu season|| 0.228498 American College 0.20661 National Influenza Vaccination 0.235819 high-risk conditions 0.20395 flu seasons 0.241651 H1N1 Flu Survey 0.27835 Peak flu activity 0.240688 pregnancy 0.22127 Younger pregnant women 0.222894 flu illness 0.244416 single flu season 0.256597 influenza vaccination 0.239745 flu activity increases 0.24042 season vaccination coverage 0.276186 flu shot 0.333277 early season vaccination 0.259374 current vaccination efforts 0.21027 Internet panel surveys 0.209005	CLICK HERE
13230	Centers for Disease Control and Prevention	Html	en	Decrease in Rate of Opioid Analgesic Overdose Deaths -Staten Island, New York City, 2011-2013	Denise Paone, EdD1, Ellenie Tuazon, MPH1, Jessica Kattan, MD1, Michelle L. Nolan, MPH1, Daniella Bradley O'Brien1, Deborah Dowell, MD2, Thomas A. Farley, MD3, Hillary V.	Staten Island prescribers 0.469775 overdose rates 0.393587 public health interventions 0.509204 analgesic–involved overdose mortality 0.494321 Prescription Monitoring Program 0.383121 state prescription monitoring 0.433457 Staten Island–specific 0.382075 heroin-involved overdose mortality 0.401298 New York City 0.413413 analgesic high-dose prescribing 0.377967 Staten Island rates 0.425924 Staten Island 0.907289 analgesic prescribing patterns 0.376389 overdose mortality rates 0.537077 opioid analgesic–involved mortality 0.464188 heroin-involved overdose deaths 0.414935 opioid analgesic mortality 0.488139 high-dose opioid 0.443528 high dose prescriptions 0.382334 overdose death rate 0.414324 opioid analgesic–involved overdose 0.700631 Island local news 0.366255 unintentional drug poisoning 0.390769 Staten Island physicians 0.430353	NYC boroughs 0.428123 opioid analgesic prescriptions 0.677705 Methadone-involved overdose deaths 0.395821 opioid analgesics 0.515867 short-acting opioid analgesic 0.479745 Staten Island stakeholders 0.442052 office educational visits 0.426119 Staten Island mortality 0.467856 judicious opioid prescribing 0.461141 opioid use disorders 0.42855 Staten Island–targeted efforts 0.418692 overdose mortality 0.610933 new york state 0.387518 opioid prescribing guidelines 0.505838 Staten Island town 0.442758 public service announcements 0.388843 analgesic prescribing data 0.386709 Staten Island campaign 0.442581 analgesic–involved overdose deaths 0.434923 Staten Island area 0.414583 overdose mortality trends 0.412818 Staten Island residents 0.536873 drug-involved overdose deaths 0.391229	CLICK HERE