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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
8370	Centers for Disease Control and Prevention	Html	en	Evaluation and Management of Suspected Outbreaks of Meningococcal Disease - APPENDIX B, March 22, 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.	mass vaccination campaign 0.732613 meningococcal disease outbreak 0.794174 organization-based outbreaks 0.835155 routine vaccination coverage 0.726595 outbreak settings 0.669537 common affiliation 0.677789 large outbreaks 0.681721 meningococcal disease outbreaks 0.818059 geographically contiguous population 0.709169 Public health personnel 0.673992 case 0.705881 additional cases 0.696776 substantial populations 0.698617 vaccination group 0.823185 general U.S. population 0.7109 public health officials 0.730929 age groups 0.7102 population 0.786544 meningococcal disease 0.977688 persons 0.709024 mass chemoprophylaxis 0.695367 certain organization-based outbreaks 0.714991 serogroup B outbreaks 0.73342 primary attack rate 0.728013	vaccination campaign comprise 0.71158 attack rates 0.772561 probable case 0.703939 community-based outbreak 0.677845 meningococcal outbreaks 0.772077 mass vaccination campaigns 0.721695 early case recognition 0.674333 community-based outbreaks 0.719126 general population 0.673991 clinically compatible illness 0.708595 disease attack rate 0.708361 massive public health 0.677284 case vaccination 0.69309 public health 0.759014 outbreak strain 0.672346 highest attack rates 0.678918 attack rate 0.77349 cases 0.791923 Age-specific attack rates 0.680798 mass vaccination 0.773721 geographically delineated community 0.67576 close contacts 0.704658 available vaccines 0.671321 risk 0.742174	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
9907	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Stakeholders™ Interest in and Challenges to Implementing Farm-to-School Programs, Douglas County, Nebraska, 2010"2011 - CDC	Schools are uniquely positioned to influence the dietary habits of children, and farm-to-school programs can increase fruit and vegetable consumption among school-aged children. We assessed the feasibility of, interest in, and barriers to implementing farm-to-school activities in 7 school districts in Douglas County, Nebraska.	F2S activities 0.584609 local producers 0.628819 County Health Department 0.526709 local food hub 0.486253 Douglas County 0.68945 vegetable consumption 0.50418 local products 0.529169 food safety standards 0.489075 postassessment survey 0.484869 piloted F2S program 0.532342 FSDs 0.545958 school districts 0.656614 new F2S program 0.547981 previous F2S studies 0.524351 F2S coordinator 0.506314 distributors 0.489843 F2S 0.76229 F2S programming 0.519036 school food service 0.489831 food service directors 0.660896 schools 0.547371 F2S programs 0.738615 F2S portion 0.506733 stakeholder groups 0.488737 smaller school districts 0.531181	local food practices 0.51899 Nebraska Medical Center 0.492886 local food 0.774804 larger school districts 0.529163 local foods 0.900337 local food events 0.492418 F2S program 0.618752 mean score 0.55911 local food producers 0.557712 preassessment 0.597817 County school districts 0.481084 Douglas County Health 0.491353 Forty-one local producers 0.495279 procurement-based F2S programs 0.535588 willingness 0.491437 F2S education 0.507687 producers 0.635346 food safety 0.53175 barriers 0.528473 discusses general F2S 0.542432 County F2S program 0.553949 postassessment 0.603423 preassessment survey 0.488308 local food procurement 0.561068	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
13654	Centers for Disease Control and Prevention	Html	en	Disparities in Patterns of Health Care Travel Among Inpatients Diagnosed With Congestive Heart Failure, Florida, 2011	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.	hospitals 0.486195 inpatients 0.399208 actual travel time 0.42421 care travel patterns 0.407233 no-charge patients 0.491322 privately insured patients 0.385579 distant hospitalization 0.533721 shortest excess travel 0.395027 HSAs influence patients 0.401865 different travel patterns 0.407488 individual discharge records 0.4012 median household income 0.466136 travel distance 0.3944 population-weighted centroid 0.402583 logistic models 0.491858 patients 0.831823 secondary road network 0.397301 large metropolitan patients 0.389455 local hospital supply 0.423159 linear regression models 0.581108 travel time 0.944499 HSAs 0.433759 large metropolitan areas 0.404067 hospital patients 0.385794	self-pay patients 0.407874 Congestive heart failure 0.410739 local patients 0.396948 major public health 0.41275 local/distant hospitalization 0.387294 CHF patients 0.528353 postal zone 0.428104 increased travel time 0.408688 shorter excess travel 0.390227 local hospitals 0.388228 large metropolitan area 0.458777 health care 0.412667 local hospital resources 0.468398 multiple logistic regression 0.406172 small metropolitan area 0.459226 local hospitalization 0.863129 travel patterns 0.771854 excess travel time 0.921337 Long travel distance 0.38677 linear models 0.403321 public health problem 0.412746 policy makers 0.388804 logistic regression models 0.412228 continuous travel time 0.394126	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