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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
640	Centers for Disease Control and Prevention	Html	en	Smoke-Free Policies Improve Health - Smoking & Tobacco Use	Secondhand Smoke Fact Sheets.	smokefree laws 0.885425 Comprehensive Smoke-Free Legislation 0.395549 Smoking Ban 0.414755 A. Hospital Admissions 0.361925 Human Services 0.344758 Comprehensive Smoke-Free Laws 0.415013 U.S. Department 0.342432 health outcomes 0.378098 Health Promotion 0.343437 workplaces 0.340016 Irish Smoking Ban 0.375404 Comprehensive Smoking Bans 0.401131 medicare beneficiaries 0.340113 rating scale 0.350593 local smokefree laws 0.515966 Pell JP 0.394321 Legislative Smoking Bans 0.37649 medicare enrollees 0.345666 county smokefree laws 0.516653 smokefree legislation 0.507828 Comprehensive Statewide Smoking 0.39442 American Journal 0.510291 monthly hospital admissions 0.381875 highest level 0.343147 nonsmoking bar workers 0.694997	indoor areas 0.672484 International Agency 0.42055 Secondhand Smoke Exposure 0.415759 heart attacks 0.421278 Public Health 0.413834 Comprehensive Smoking Ban 0.396912 respiratory health 0.487293 respiratory symptoms 0.439393 acute coronary syndrome 0.478661 hospital admissions 0.983719 public places 0.349722 population Substantial health 0.362353 heart disease morbidity 0.36522 New York 0.340463 acute coronary events 0.709172 throat irritations 0.341545 heart attack admissions 0.364769 health 0.500998 national smokefree law 0.97677 smoke-free legislation 0.58956 comprehensive smokefree laws 0.669386 state smokefree law 0.713321 New England Journal 0.414647 acute myocardial infarction 0.726204	CLICK HERE
4684	Centers for Disease Control and Prevention	Html	en	Residence in a distressed county in Appalachia as a risk factor for diabetes, Behavioral Risk Factor Surveillance System, 2006-2007	null	nondistressed Appalachian counties 0.460635 high rates 0.437471 tool kit 0.378416 Risk Factor Surveillance 0.419109 self-reported diabetes 0.465323 competitive counties 0.367941 Appalachian county 0.444877 Disease Control 0.375172 undiagnosed diabetes 0.401619 Self-reported diabetes status 0.456866 obesity 0.403083 risk factors 0.47803 diabetes risks 0.401605 Appalachian people 0.3854 distressed Appalachian counties 0.775934 Appalachian participants 0.378571 physical activity level 0.382507 residents 0.433393 Behavioral Risk Factor 0.417557 United States 0.389138 distressed counties 0.760114 culturally sensitive programs 0.405877 Appalachian Mountains 0.394957 cigarette smoking 0.380781 diabetes cases 0.403018	unadjusted prevalence 0.384107 diabetes prevalence 0.44123 Family Matter program 0.387032 isolated counties 0.370969 3-year unemployment rate 0.412172 rural Appalachian society 0.401109 self-reported diagnosed diabetes 0.504628 health care 0.408596 higher risk 0.407971 New York 0.367512 classifies Appalachian counties 0.451965 national median prevalence 0.370917 Appalachian Regional Commission 0.414375 Appalachian traditions 0.377703 Appalachian Diabetes Control 0.501321 Appalachian population 0.379878 physical activity 0.675532 leisure-time physical activity 0.375243 non-Appalachian counties 0.546401 attainment counties 0.382323 diabetes 0.78391 diabetes educator 0.401513 Diabetes Translation 0.403338 physical inactivity 0.382868	CLICK HERE
5792	Centers for Disease Control and Prevention	Html	en	Cyanogen chloride - 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
7263	Centers for Disease Control and Prevention	Html	en	Lexicon, Definitions, and Conceptual Framework for PublicHealth Surveillance	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.	data 0.401547 public health interventions 0.278487 specific health events 0.272801 Risk Factor Surveillance 0.278074 health information 0.328757 health surveillance activities 0.351545 health policy information 0.261439 public health decision 0.272588 sentinel surveillance systems 0.282359 public health inquiry 0.272945 public health surveillance 0.994115 surveillance program 0.271442 disease surveillance 0.288227 health events 0.275718 public health decisions 0.265998 data sources 0.282958 surveillance data 0.313745 population health assessment 0.299727 traditional public health 0.271075 public health practice 0.324145 Surveillance Consultation 0.283541 health surveillance systems 0.359259 effective public health 0.268408 chronic disease surveillance 0.288111 health surveillance concepts 0.317292	public health threat 0.274805 valuable surveillance data 0.295355 public heath surveillance 0.301138 public health community 0.292284 specific public health 0.268793 21st century 0.265716 surveillance systems 0.38019 complex health events 0.263812 public health knowledge 0.275288 public health program 0.296523 surveillance purposes 0.272498 health information needs 0.269297 public health concerns 0.27261 health data 0.286029 Notifiable Diseases Surveillance 0.28594 appropriate health information 0.265551 public health programs 0.342195 national surveillance systems 0.282333 sentinel surveillance 0.283393 electronic health records 0.266348 data collection 0.390501 Electronic Disease Surveillance 0.2857 public health problem 0.290543 data collection activities 0.262182	CLICK HERE
7834	Centers for Disease Control and Prevention	Html	en	CDCynergy Lite - Interventions	Gateway to Health Communication and Social Marketing Practice - CDCynergy Lite, interventions	local service providers 0.8658 common goals 0.726347 marketing—like commercial marketing—is 0.845818 ultimate behavioral objective 0.85192 walking clubs 0.74995 Product interventions 0.846233 certain costs 0.76025 behavior change 0.983454 drug-free activities 0.764329 indirect costs 0.755961 organizational rulings 0.731864 time frame 0.736794 line items 0.72922 program priorities 0.726909 city funding 0.728888 target segment 0.73716 program plan 0.730891 Gantt chart 0.731403 male sex partners 0.848229 barber shops 0.730835 training classes 0.75732 Include key deadlines 0.848059 nicotine replacement device 0.837837 Policy interventions 0.844447 primary sections 0.725076	separate funding streams 0.818197 similar items 0.728914 strongest planning team 0.88701 creative contributions 0.747726 common understanding 0.727543 Service interventions 0.849015 Budget narratives 0.746873 screening clinic services 0.849555 specific activities 0.731572 bike lanes 0.733618 intervention activities 0.73838 community decisions 0.730383 long time 0.742364 influence individual 0.728954 enhances health 0.739998 specific population 0.736439 radio soap opera 0.842452 HIV testing 0.750827 Social Marketing interventions 0.968537 Communication interventions inform 0.951689 African-American men 0.735696 Include launch schedules 0.840119 ethical requirements 0.722147 outcome objective 0.759308	CLICK HERE
8199	Centers for Disease Control and Prevention	Html	en	Cereals containing Folic Acid	Folic acid is a B vitamin. Our bodies use it to make new cells. Everyone needs folic acid. CDC urges women to take 400 mcg of folic acid every day, starting at least one month before getting pregnant, to help prevent major birth defects of the baby's brain and spine.	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
8675	Centers for Disease Control and Prevention	Html	en	Triple A's of Healthy Swimming - Healthy Swimming & Recreational Water	null	Page Moved 0.633568		CLICK HERE
8961	Centers for Disease Control and Prevention	Html	en	Emergency Preparedness - Publications by Topic - Public Health Law	null	caregiver preparedness 0.465306 public health practitioners 0.511397 health officials 0.544715 emergency declarations 0.484926 Radiological Emergency Preparedness 0.514398 Court House Preparedness 0.48456 mid-tier public health 0.506223 Healthcare Emergency Preparedness 0.500697 legal issues 0.480492 public health emergencies 0.582627 Emergency Preparedness Law 0.517169 health emergency response 0.488935 public health officials 0.542446 legal preparedness 0.586112 public health investigations 0.487215 emergency preparedness practice 0.514191 emergency preparedness 0.578454 City Health Officials 0.519387 health emergency training 0.486657 Emergency Preparedness Training 0.504881 Hospital Legal Preparedness 0.528724 public health workforce 0.489794 all-hazards preparedness 0.466066 Center Environmental Health 0.46569 Educational Facilities Preparedness 0.49004	radiation legal preparedness 0.505315 Health Emergency Law 0.53143 Zika Preparedness 0.46486 Emergency Preparedness Web 0.499144 public health professionals 0.504269 public health emergency 0.607144 health legal preparedness 0.524519 law enforcement 0.472029 public health 0.904754 public health law 0.727248 Public Health Association 0.492042 Health Law Program 0.594603 competency-based preparedness 0.46806 Territorial Health Officials 0.490196 Health Lawyers Association 0.481152 Disaster Preparedness 0.465189 public health workers 0.491279 local public health 0.507463 Public Health Preparedness 0.605659 health law bench 0.493746 tribal emergency preparedness 0.514736 public health problem 0.48495 American Health Lawyers 0.477769 federal public health 0.5028	CLICK HERE
9133	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Improving Quality of Cause-of-Death Reporting in New York City - CDC	Letter to the Editor	Electronic Death Registration 0.53516 NYC hospitals 0.505814 hospital staff 0.516996 hospital staff training 0.503798 self-reported beliefs 0.475443 examiner’s office 0.502345 medical examiner 0.571785 cause-of-death reporting 0.811298 York City Resident 0.547959 New York City 0.956774 excessive reporting 0.481559 medical residents 0.469453 resident physicians 0.582084 resident respondents 0.470299 Survey authors 0.471862 intermediate cause 0.476784 Wexelman et 0.469913 public health statistics 0.616867 similar successful results 0.503959 poor cause-of-death reporting 0.548426 data check 0.516247 additional case examples 0.51775 Survey 0.47432 cause-of-death screening 0.469062 septic shock 0.572505	cause-of-death data 0.471986 conference calls 0.520803 correct cause 0.492219 Luke’s–Roosevelt hospitals 0.515292 previous US-wide 0.470461 inadvertent negative effect 0.505317 heart disease 0.473947 in-service trainings 0.53567 NYC 0.606222 poor cause-of death 0.527676 cardiovascular disease death 0.546826 City Health Information 0.531546 inaccurate cause 0.543494 health department 0.523131 poor quality cause-of-death 0.543348 cause-of-death messaging 0.469351 York City Department 0.710343 teaching hospitals 0.473767 Public Health Service 0.516672 cause-of-death reporting practices 0.538831 successful quality-improvement efforts 0.514068 initial conference calls 0.5061 additional explanatory condition 0.509196 urinary tract infection 0.506392	CLICK HERE
9848	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Look Local: The Value of Cancer Surveillance and Reporting by American Indian Clinics - CDC	Cancer incidence and mortality rates for American Indians in the Northern Plains region of the United States are among the highest in the nation. Reliable cancer surveillance data are essential to help reduce this burden; however, racial data in state cancer registries are often misclassified, and cases are often underreported.	Health Problems cancer 0.399517 Indian Cancer Surveillance 0.421129 American Indian cases 0.466271 Comprehensive Cancer Control 0.403764 Great Lakes 0.43327 Wisconsin Carbone Cancer 0.542759 new cancer cases 0.403594 state-level cancer registry 0.395714 AI/AN cancer data 0.536738 AI/AN cancer burden 0.393922 urban Indian clinics 0.597786 high-quality cancer data 0.409763 AI/AN cancer 0.629617 cancer registry capture 0.422263 AI/AN cancer case 0.421117 comprehensive cancer center 0.443318 AI/AN cancer cases 0.605166 cancer surveillance 0.48176 Great Lakes Inter-Tribal 0.420254 state registry 0.652533 cancer case records 0.407018 cancer health disparities 0.398904 cancer prevention 0.401464 Washington State Cancer 0.393549 cancer registry data 0.513012	Indian cancer data 0.439239 local cancer data 0.479848 state cancer surveillance 0.409329 quality cancer data 0.410402 Carbone Cancer Center 0.597629 Indian cancer conference 0.393698 Wisconsin AI/AN cancer 0.424311 local cancer registry 0.418027 AI/AN cancer patients 0.403475 cancer cases 0.783065 cancer data 0.606714 cancer burden 0.420145 cancer surveillance data 0.468302 community-based participatory research 0.413093 american indian cancer 0.522179 Indian Health Service 0.660978 cancer case misclassification 0.394122 cancer disparities 0.433497 state registry data 0.456747 Wisconsin Comprehensive Cancer 0.415328 prematched AI/AN cancer 0.393283 Native cancer data 0.411206 state cancer registries 0.524725 Wisconsin Cancer Reporting 0.913532	CLICK HERE