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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
643	Centers for Disease Control and Prevention	Html	en	Smoke-Free Policies Improve Air Quality - Smoking & Tobacco Use	Secondhand Smoke Fact Sheets.	Aberdeenshire council regions 0.569373 Smoke-Free Legislation 0.606039 Public Places Law 0.592644 Smoking Ban 0.754663 Secondhand Smoke Levels 0.619632 Second-Hand Smoke Exposure 0.630983 respirable suspended particulates 0.585889 Delaware Hospitality Venues 0.571781 Irish Smoking Ban 0.626593 Smoking Ban Measure 0.585533 secondhand smoke 0.797368 air quality 0.705022 Indoor Air 0.596033 Hospitality Venues 0.608373 Western New York 0.576584 pubs 0.57965 American Journal 0.574878 Ontario Smoke-Free Legislation 0.577956 average PM2.5 levels 0.721189 Indoor Particle Levels 0.592156 Juan metropolitan area 0.628549 restaurants 0.587634 fast food restaurants 0.585377 video game parlors 0.571976	Health Science Journal 0.58044 English Smoke-Free Legislation 0.576365 MacCalman L. Changes 0.567505 Mar 0.621965 Secondhand Smoke Exposure 0.606959 Hawaii Medical Journal 0.580268 Paul metropolitan area 0.577861 Workplace Smoking Ban 0.588429 smokefree law 0.955162 Breathing secondhand smoke 0.622024 public places 0.662435 Hawaii Air Quality 0.582548 Smoke-Free Workplace Policy 0.577192 New York 0.62192 San Juan 0.60733 Repace J. Respirable 0.577447 Indoor Air Law—Western 0.580144 bars 0.58782 Spanish Smoking Ban 0.587907 comprehensive smokefree laws 0.665768 Indoor Air Quality 0.583507 Health Sciences Journal 0.579617 Enclosed Public Places 0.570596 reduction 0.635911	CLICK HERE
5042	Centers for Disease Control and Prevention	Html	en	Healthy Weight: Causes of Overweight and Obesity: Other Factors	There are a variety of factors that play a role in obesity – behavior, environment, and genetics may have an effect in causing people to be overweight and obese. Learn more.	healthy diet 0.412658 illnesses 0.261354 obesity – behavior 0.706323 research priorities 0.393379 Page 0.296007 large increase 0.388862 genetic composition 0.386467 psychological factors 0.397196 obese 0.248579 positive environment 0.39571 major changes 0.392841 workplaces 0.23996 Public Health Perspective 0.529177 healthy lifestyle 0.401459 healthy living 0.407385 weight loss 0.384128 James O. 0.391709 non-genetic factors 0.434051 person 0.266507 abundant food supply 0.536613 Community Physical Activity 0.567039 future health 0.386096 L. Childhood obesity 0.790658 strong genetic determinants 0.557478 Drugs 0.257673	role 0.270003 weight gain 0.51748 obesity visit Obesity 0.98917 Bardet-Biedl syndrome 0.405222 environmental opportunities 0.39751 specific disorders 0.386735 polycystic ovary syndrome 0.543563 sidewalks 0.261034 multiple genes 0.439972 genetics 0.279707 health decisions 0.40531 future directions 0.387684 fitness centers 0.399496 Science shows 0.388189 overweight 0.262894 Prader-Willi syndrome 0.395606 civic participation 0.391005 antidepressants 0.239333 people 0.30508 physical activity 0.895191 malls 0.239214 best source 0.38338 little physical activity 0.540913 information 0.292672	CLICK HERE
7188	Centers for Disease Control and Prevention	Html	en	National Prevention Council Action Plan: Implementing the National Prevention Strategy | CDC Features	Read the National Prevention Council Action Plan to learn about the three commitments the National Prevention Council has made to accelerate prevention, and 200+ actions Council departments are undertaking to implement the National Prevention Strategy.	specific prevention 0.249015 federal level 0.239922 productive lives 0.230336 Council Action Plan 0.662775 Dr. Regina Benjamin 0.261386 private partners 0.23304 federal departments 0.264031 health disparities 0.240161 federal government 0.236245 landmark National Prevention 0.292858 evidence-based recommendations 0.230176 local governments 0.234708 Prevention Council commitments 0.290294 goal 0.229811 federal implementation 0.235865 U.S. Surgeon General 0.268653 Americans 0.241547 Human Services Secretary 0.257804 Affordable Care Act 0.268965 chronic disease 0.233086 prevention-oriented society 0.232328 major illness 0.231521 Priorities 0.239589 National Prevention 0.97862 unique department actions 0.266983	Strategic Directions 0.331209 National Prevention Strategy 0.830376 wellness efforts 0.237455 General Regina Benjamin 0.332148 comprehensive federal approach 0.259131 wellness 0.251669 preventable death 0.233535 federal agencies 0.2344 Surgeon General Regina 0.332426 health care systems 0.266667 better health 0.236087 nonprofit organizations 0.235545 chronic diseases 0.230235 council’s commitment 0.237359 health 0.285969 wellness actions 0.239554 comprehensive plan 0.23888 health promotion practices 0.27469 Kathleen Sebelius 0.231458 ongoing leadership 0.230911 multiple sectors 0.263462 National Prevention Council 0.936478 effective implementation 0.232133 Prevention Council Action 0.628856	CLICK HERE
8492	Centers for Disease Control and Prevention	Html	en	Suzy's Story - Real Stories - Tips from Former Smokers - Smoking & Tobacco Use	The story of Suzy, a former smoker who suffered a stroke and is featured in CDC's Tips from Former Smokers campaign.	strokes 0.377785 United States 0.588373 Suzy 0.982813 TV ad 0.603602 partial paralysis 0.627925 husband 0.381262 Suzy talks 0.848 independence 0.464105 stroke 0.571603 eyes 0.367027	contributes 0.379435 doctors 0.368457 smoking 0.546304 Smokers® campaign 0.597544 cigarettes 0.389403 family 0.371882 exemplary entrepreneurs 0.679062 CDC’s Tips 0.612778 age 0.499114	CLICK HERE
8781	Centers for Disease Control and Prevention	Html	en	Assessment of Risk for Exposure to Bats in Sleeping QuartersBefore and During Remediation - Kentucky, 2012	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.	Ñ?ЛП Bats 0.454253 risk assessment 0.466276 Elizabeth S. Russell 0.405995 bat exposure 0.901545 sleeping quarters 0.679497 bat 0.955268 large bat populations 0.625114 direct contact 0.470449 bat colony size 0.515729 pest control 0.383468 female sleeping quarters 0.504238 volunteer facility 0.413081 multiple potential bat 0.594206 bat sightings 0.556808 potential mass bat 0.715515 persons 0.600363 Juvenile bats 0.404915 high risk 0.72877 bat bites 0.540744 low risk 0.404193 United States 0.392019 potential bat 0.634726 human rabies 0.567388 human contact 0.401928 rabid bat 0.462608	bats 0.888404 potential bat exposure 0.57038 local health department 0.408217 big brown bats 0.608626 human rabies fatality 0.446553 moderate risk 0.681534 bat exclusion efforts 0.574509 human rabies cases 0.502005 public health 0.463266 member sleeping quarters 0.398482 indoor bat sightings 0.508994 future bat sightings 0.517076 staff members 0.581614 rabies 0.595085 appropriate bat exclusion 0.510873 entry points 0.401444 bat bite 0.472012 domestic human rabies 0.408739 male sleeping quarters 0.464685 PEP 0.395458 bat infestation 0.576574 bat colony 0.558054 mass bat contacts 0.58435 facility 0.445544	CLICK HERE
12322	Centers for Disease Control and Prevention	Html	en	Opioid Prescription Claims Among Women of Reproductive Age -United States, 2008-2012	Elizabeth C. Ailes, PhD1, April L. Dawson, MPH1, Jennifer N.	opioid prescription rates 0.54536 opioid dispensing 0.450821 opioid prescription claims 0.907118 opioid prescribing practices 0.478325 earlier time periods 0.352967 white reproductive-aged women 0.31896 commonly prescribed opioids 0.329992 pregnant women 0.41454 opioid-containing medications 0.395039 outpatient prescription 0.333155 Meghan T. Frey 0.294966 Medicaid data 0.45396 Medicaid-enrolled women 0.815493 reproductive-aged women 0.694377 private insurance 0.48412 claims data 0.312684 prescription opioid claims 0.557263 opioid prescribing patterns 0.480802 privately insured claims 0.45994 outpatient pharmacies 0.348121 Medicaid sample 0.300276 women 0.895543 certain opioid medications 0.47619 Medicaid recipients 0.311189	safer alternative treatments 0.367258 United States 0.297809 specific opioid medication 0.507141 prescription medication claims 0.370604 opioid prescription 0.914926 privately insured women 0.761407 outpatient pharmacy 0.625868 frequently prescribed opioids 0.339882 prenatal opioid exposure 0.473108 Suzanne M. Gilboa 0.295148 prescription drug coverage 0.357593 privately insured populations 0.35237 Medicaid-enrolled reproductive-aged women 0.344337 health care 0.511434 opioid prescriptions 0.784467 Elizabeth C. Ailes 0.295061 MarketScan Commercial Claims 0.46755 Truven Health 0.342037 opioid exposure 0.579334 health care coverage 0.500363 prescription drug claims 0.374571 birth defects 0.367424 pure opioid antagonists 0.51022 opioid medication 0.560097	CLICK HERE
12387	Centers for Disease Control and Prevention	Image	en	Injury - The #1 Killer of Children in the US (298W x 801H)	null	tEXtSoftware Adobe ImageReadyqЩЅ 0.992625		CLICK HERE
14125	Centers for Disease Control and Prevention	Html	en	Diabetes Status and Being Up-to-Date on Colorectal Cancer Screening, 2012 Behavioral Risk Factor Surveillance System	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.	logistic regression model 0.322837 CRC risk 0.267589 health insurance 0.29065 routine checkup 0.74674 Risk Factor Surveillance 0.293339 diabetes mellitus 0.330664 South Carolina 0.263511 health insurance status 0.263813 diabetes care 0.538829 American Cancer Society 0.308056 diabetes prevalence 0.346226 BRFSS respondents 0.362319 CRC screening behavior 0.38962 screening age 0.262702 marital status 0.268672 diabetes-related visits 0.311847 colorectal cancer screening 0.660217 recent routine checkup 0.482582 Nutrition Examination Survey 0.263489 borderline diabetes 0.32021 A. Diabetes mellitus 0.325484 up-to-date status 0.266776 colorectal cancer 0.889755 multivariable logistic regression 0.422847	up-to-date screening status 0.386882 Pennsylvania State University 0.282827 CRC screening 0.767242 up-to-date colorectal cancer 0.36976 cervical cancer screening 0.301546 health 0.390241 diagnosed diabetes 0.288648 diabetes specialist 0.30693 respondents 0.507776 health care visits 0.292899 CRC screening providers 0.365432 National Colorectal Cancer 0.260621 self-reported diabetes status 0.448356 CRC screening status 0.38677 et al 0.259154 primary care 0.26334 Behavioral Risk Factor 0.339317 preventive services 0.336847 diabetes 0.919242 up-to-date CRC screening 0.568731 diabetes care visits 0.403381 5-year CRC survival 0.278927 diabetes status 0.529256	CLICK HERE
15345	Centers for Disease Control and Prevention	Html	en	The Community Guide - Evidence Gaps	With each systematic review, the Task Force identifies critical evidence gaps - areas where information is lacking. This is an index page of all Evidence Gaps by topic.	force evidence-based recommendations 0.543671 CDC 0.243519 findings 0.239263 stakeholders 0.252111 constraints 0.244446 task force 0.955793 tab 0.245896 options 0.231164 Preventive Services Task 0.979595 evidence base 0.420419 Task Force highlights 0.655725 Evidence gaps 0.466409 preferences 0.246959 website 0.235925 quick survey 0.415583	available resources 0.38397 conclusions 0.249727 Services Task Force 0.904823 decision makers 0.391581 mandates 0.2561 systematic review 0.411531 Disclaimer 0.25977 finding 0.234183 spending 0.249473 Community Preventive Services 0.887303 information 0.231214 Community Guide 0.422111 page 0.279465 programs 0.23089	CLICK HERE
16496	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Detection of Sabin-Like Type 2Poliovirus from Sewage After Global Cessation of Trivalent OralPoliovirus Vaccine - Hyderabad and Ahmedabad, India,August-September 2016 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	vaccine manufacturer 0.573493 medical association 0.55262 polioviruses 0.725009 sewage samples 0.559626 small clinics 0.553736 cold chain storage 0.808362 flaccid paralysis cases 0.648539 private health facilities 0.83021 private vaccine retailer 0.768981 vaccine cold store 0.648229 Sabin-like type 0.757131 large health facilities 0.570435 Human Services 0.536112 U.S. Department 0.536175 World Health Organization 0.673469 private vaccine retailers 0.89642 private clinics 0.635302 Enterovirus Research Centre 0.536665 immunization program stakeholders 0.692364 tOPV vials 0.9722 S. Prasanna Kumari 0.537515 district vaccine cold 0.658758 vaccine-derived polioviruses 0.654617 New Delhi 0.569595	private sector 0.540404 responsible immunization officer 0.563262 isolated polioviruses 0.652117 professional health associations 0.556872 3World Health Organization 0.567195 National Polio Surveillance 0.535063 polio vaccine 0.631394 bulk type 0.554168 oral poliovirus vaccine 0.673297 original MMWR paper 0.533627 chain storage points 0.66791 Gujarat state officials 0.550909 surveillance sewage samples 0.536908 main district vaccine 0.771448 Asia Regional Office 0.532001 immunization program officers 0.555905 2Global Immunization Division 0.55948 vaccine cold chain 0.633762 global poliovirus containment 0.556379 gujarat state 0.565505 tOPV withdrawal 0.533671 cold chain officers 0.540999 acute flaccid paralysis 0.643978 903-nucleotide VP1 region 0.560861	CLICK HERE