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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
4698	Centers for Disease Control and Prevention	Html	en	Learning from the European experience of using targets to improve population health	null	targets programs 0.53927 technical targets 0.566196 chosen population health 0.49009 National Health Service 0.513373 health outcomes 0.53812 Health Service organizations 0.497325 health inequalities 0.494292 population health targets 0.671172 national targets 0.545331 local health targets 0.612297 subtle targets 0.539302 public health targets 0.648734 health care providers 0.491984 PSA targets 0.621186 English health care 0.498976 health targets 0.962645 future health care 0.496554 targets regimes 0.566286 Health Systems 0.539029 World Health Organization 0.551931 effective local targets 0.581624 Outcome-related health targets 0.596013 national PSA targets 0.589751 local health authorities 0.504817 Regional Office 0.512492	explicit performance targets 0.591155 English public health 0.527571 intersectoral targets 0.54119 country-based targets 0.548881 Swedish public health 0.495033 regional health conferences 0.489783 outcome-related targets 0.549849 health policy 0.520823 public health domain 0.493582 health services 0.490948 health system performance 0.487966 public health outcomes 0.506249 local health networks 0.495674 health care 0.60829 public health care 0.493895 quantitative health targets 0.606408 public health focus 0.502924 targets process 0.54972 clinical quality targets 0.571081 book Health Targets 0.60088 European Observatory 0.513183 earlier PSA targets 0.556624 Cross-sectoral targets 0.541798 coronary heart disease 0.5059	CLICK HERE
5466	Centers for Disease Control and Prevention	Html	en	Propargyl alcohol - 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
5837	Centers for Disease Control and Prevention	Html	en	Nitrogen dioxide - 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
6782	Centers for Disease Control and Prevention	Html	en	Iditarod: Celebrating the Great Race of Mercy to Stop Diphtheria Outbreak in Alaska | About | CDC	CDC Works For You 24/7 Saving Lives - Celebrating the Great Race of Mercy to Stop Diphtheria Outbreak in Alaska - Years ago, diphtheria wiped out entire communities, sometimes killing all the children in a family. This is the story of a famous event that galvanized people in the United States to begin to use diphtheria vaccine—which has virtually wiped out the once dreaded disease in this country.'	closest large supply 0.559359 pertussis organism 0.569405 Upper-case letters 0.51975 diphtheria antitoxin 0.789133 lone physician 0.497409 throats 0.423478 Seward-to-Nome Mail Trail 0.560384 Iditarod Trail 0.488602 Td 0.419149 tetanus 0.450281 sea ice 0.489457 Tdap 0.435332 young children 0.492831 outbreak 0.442775 adolescent/adult-formulations 0.418491 antibody 0.417554 town 0.43164 Dr. Welch 0.764307 diphtheria antitoxin—it 0.701232 suffocation 0.423738 telegrams 0.41916 leathery coating 0.49913 diphtheria releases 0.714699 famous event 0.500063	pertussis component 0.569296 entire communities 0.497099 DTaP 0.435347 toxin-producing bacterium Corynebacterium 0.587365 fresh diphtheria antitoxin 0.783063 United States 0.499918 fastest way 0.485981 National leaders 0.486999 toxoids 0.418464 infected people 0.491485 Nome doctor Curtis 0.629884 tonsillitis 0.424724 diphtheria 0.922798 abbreviations 0.419747 disease 0.434098 cases 0.43206 impending crisis 0.498892 respiratory tract illness 0.574866 strangling angel 0.495258 vaccine 0.417778 radio headlines 0.488022 full-strength doses 0.527218 air service 0.489741 family 0.417072	CLICK HERE
8846	Centers for Disease Control and Prevention	Html	en	Vital Signs: Listeria Illnesses, Deaths, and Outbreaks -United States, 2009-2011	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.	U.S. listeriosis incidence 0.630214 Listeria Initiative participation 0.575792 normally sterile site 0.62973 invasive Listeria monocytogenes 0.634611 Foodborne Pathog Dis 0.581871 territorial health departments 0.556487 soft cheese 0.567674 average annual incidence 0.583148 invasive listeriosis 0.677314 pregnant women 0.745216 food safety gaps 0.599735 Listeria Initiative data 0.594504 Listeria Initiative 0.927176 foodborne disease outbreaks 0.582612 foodborne disease outbreak 0.74996 soft cheeses 0.645294 Listeria monocytogenes contamination 0.622593 fetal losses 0.572973 pregnant Hispanic women 0.572346 Foodborne Diseases Active 0.614684 Disease Outbreak Surveillance 0.640626 L. monocytogenes 0.639172 foodborne illness 0.569209 listeriosis 0.924571 pregnancy-associated cases 0.633316	listeriosis identifies 0.591569 outbreaks 0.665123 listeriosis incidence 0.641887 listeriosis outbreak 0.712657 raw produce 0.56592 outbreak investigations 0.643295 laboratory-confirmed listeriosis 0.588092 Listeria contamination 0.563624 listeriosis outbreak vehicles 0.664365 public health 0.574933 higher risk 0.657262 invasive listeriosis cases 0.657461 cases 0.712005 Mexican-style cheese 0.601746 listeriosis outbreaks 0.626604 food vehicle 0.552324 unpasteurized milk 0.608509 listeriosis cases 0.677102 Older adults 0.577496 listeriosis prevention 0.570172 food safety 0.79341 Large listeriosis outbreak 0.646387 Diseases Active Surveillance 0.589231 Listeria monocytogenes infection 0.782607	CLICK HERE
8956	Centers for Disease Control and Prevention	Html	en	Publications by Topic - Public Health Law	null	MPEG 0.741242 site 0.541063 PDF 0.544429	PPT 0.837268 DOC 0.733754	CLICK HERE
9782	Centers for Disease Control and Prevention	Html	en	Youth Exposure to Alcohol Advertising on Television - 25Markets, United States, 2010	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.	underage audiences 0.387744 alcohol advertising impressions 0.470074 television media markets 0.428382 broadcast network sports 0.402311 alcohol advertisements 0.507732 denominator.§ Alcohol 0.42021 cable nonsports 0.386989 alcohol advertising 0.904392 youth viewers 0.391441 local underage audiences 0.375333 media markets 0.500739 public health surveillance 0.446815 youth audience composition 0.4074 local television markets* 0.394065 largest television markets 0.517958 Alcohol Alcohol 0.502701 industry standard 0.436095 total youth exposure 0.463776 broadcast network nonsports 0.402315 major metropolitan areas 0.39983 adolescent alcohol 0.410452 television universe estimates 0.400248 television advertising 0.433959 Advertising exposure 0.390237 Local People Meters 0.386034	youth exposure 0.795962 alcohol marketing 0.536589 Local People Meter 0.403121 local market television 0.382318 largest number 0.381762 United States 0.44202 program categories 0.388962 National Research Council/Institute 0.450595 cable sports 0.387005 local media markets 0.456237 Excessive alcohol consumption 0.453264 television programs 0.643044 total alcohol advertisements 0.461485 Federal Trade Commission 0.395595 New York 0.501289 national television advertisements 0.393321 alcohol outlet density 0.43188 alcohol companies 0.415185 national television programs 0.525586 alcohol industry 0.636089 alcohol excise taxes 0.432814 industry threshold 0.379584 David H. Jernigan 0.393135 cable television programs 0.399436	CLICK HERE
12957	Centers for Disease Control and Prevention	Html	en	Bacterial Enteric Infections Detected by Culture-IndependentDiagnostic Tests - FoodNet, United States, 2012-2014	Martha Iwamoto, MD1, Jennifer Y. Huang, MPH1, Alicia B. Cronquist, MPH2, Carlota Medus, PhD3, Sharon Hurd, MPH4, Shelley Zansky, PhD5, John Dunn, DVM6, Amy M.	negative culture 0.284687 Shiga toxin 0.342127 commercial antigen-based tests 0.483542 stool specimens 0.297489 clinical diagnostic testing 0.292019 positive CIDT reports 0.943886 surveillance catchment area 0.289592 enteric pathogens 0.353248 public health surveillance 0.471808 support public health 0.283375 STEC 0.313486 Enteric Diseases Laboratory 0.285053 commercial DNA-based syndrome 0.527114 clinical culture 0.282949 clinical laboratory 0.304818 surveillance data 0.286622 bacterial enteric diseases 0.285122 enhanced surveillance methods 0.296736 Foodborne Diseases Active 0.327493 clinical laboratories 0.706956 public health laboratory.§ 0.290182 FoodNet sites 0.290327 enhance surveillance methods 0.284537 public health laboratories 0.506274 culture-independent diagnostic tests 0.3308	bacterial enteric infections 0.363284 foodnet surveillance 0.387375 single clinical laboratory 0.291647 bacterial enteric pathogens 0.341204 CIDT methods 0.28653 bacterial enteric pathogen 0.295479 clinical laboratory practices 0.284809 specific public health 0.283306 FoodNet Clinical Laboratories 0.358791 culture-confirmed infections 0.347957 DNA-based syndrome panels 0.531123 public health 0.726729 Campylobacter 0.350106 surveillance area populations 0.285985 FoodNet surveillance area 0.381118 STEC infections 0.297132 positive CIDT result 0.286408 health surveillance programs 0.293865 CIDTs 0.407538 culture 0.461328 Diseases Active Surveillance 0.344429 positive CIDT report 0.337094 Active Surveillance Network 0.34374 public health laboratory 0.329275	CLICK HERE
13560	Centers for Disease Control and Prevention	Html	en	Assessing a Public Health Intervention for Children in Barbados, 2003–2008	Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention.	pediatric preventable conditions 0.305596 Public health agencies 0.301164 public health intervention 0.29782 data 0.381057 boys 0.357402 girls 0.320762 fewer asthma hospitalizations 0.313708 Data source 0.292546 Barbados Census 0.390015 children 0.362633 health care providers 0.290428 results 0.293426 health care professionals 0.290008 asthma hospitalization rate 0.346098 health services researchers 0.287349 preventable hospitalizations 0.503599 health educators 0.309314 preventable hospitalization indicator 0.508967 public health education 0.307215 Barbados residents 0.294879 asthma 0.397598 Public Health Sciences 0.288814 public health officials 0.327733 Barbados Strategic Plan 0.624727 universal health care 0.435642	health care costs 0.296989 public health educators 0.298764 asthma hospitalization 0.384047 Queen Elizabeth Hospital 0.42441 preventable hospitalization 0.946344 preventable hospitalization rates 0.427828 potentially preventable hospitalization 0.413858 study 0.350157 average annual increase 0.413677 Barbados Statistical Services 0.314605 preventable hospitalization diagnoses 0.37822 Public health professionals 0.307015 public health 0.797211 health care 0.621383 public health care 0.312989 chronic diseases 0.339953 health data 0.292994 primary health care 0.512759 Barbados such data 0.29939 children’s health 0.312922 ambulatory care-sensitive conditions 0.620402 Barbados Ministry 0.293175 Barbados 0.630194 asthma hospitalization rates 0.351075	CLICK HERE
15945	Centers for Disease Control and Prevention	Html	en	Real-Time Monitoring of Vaccination Campaign PerformanceUsing Mobile Phones - Nepal, 2016 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	supplementary immunization activities 0.718761 SIA administrative coverage 0.670274 data 0.763443 vaccination campaigns 0.687667 mobile phones 0.833936 Global Positioning 0.672236 RCM mechanism 0.648463 service delivery coverage 0.626003 Mobile data collection 0.642047 RCM-MP 0.669978 district supervisors 0.711528 World Health Organization 0.841476 rapid convenience monitoring 0.810884 Measles elimination strategies 0.643138 immunization service delivery 0.693139 SIA 0.744974 mobile networks 0.626576 real-time data visualization 0.631102 RCM results 0.68033 public health practice 0.633659 SIA coverage 0.720774 nationwide catch-up SIA 0.649913 high risk 0.663333 rubella elimination worldwide 0.624909 monitors 0.68375	national supervisors 0.944621 paper-based RCM 0.927606 corrective vaccination activities 0.754097 overall SIA performance 0.660299 mass vaccination campaigns 0.654506 measles-rubella vaccination campaign 0.755586 unvaccinated children 0.715482 electronic data collection 0.63724 phone screen size 0.723002 public health 0.635001 small phone screen 0.723011 mop-up vaccination activities 0.739136 SIA quality 0.66763 out-of-house RCM form§§ 0.708011 data collection forms 0.635097 Future RCM implementation 0.699539 faster data transmission 0.727305 Electronic data visualization 0.631222 data collection 0.665009 SIA implementation performance 0.665653 nationwide measles-rubella vaccination 0.644494 paper reporting systems 0.625449 follow-up sias 0.639595 paper-based RCM data 0.739213	CLICK HERE