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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
524	Centers for Disease Control and Prevention	Html	en	The Dangers of Hookah Smoking	Hookah Smoking Just as Toxic as Cigarettes	1-hour-long hookah smoking 0.738656 Health organizations 0.373195 Future survey 0.368836 specially made tobacco 0.421419 periodontal disease 0.369415 cessation interventions 0.362715 lung cancer 0.36439 harmful health effects 0.431483 strong health warnings 0.4159 longer period 0.362689 cancer-causing chemicals 0.367491 Study Group 0.363292 hookah smoke 0.634049 health professionals 0.371454 typical hookah session 0.636702 hookah tobacco 0.624447 different names 0.370959 comprehensive tobacco control 0.453157 World Health Organization 0.431728 carbon monoxide 0.365063 average cigarette 0.402689 tobacco products 0.435323 harmful toxins 0.375546 12th grade students 0.430081 hookah smoking session 0.853413	Chronic Disease 0.366137 smoking session—hookah smokers 0.532522 Policy Interventions 0.364081 United States 0.501394 water pipes 0.372332 high levels 0.365816 cigarette smoke 0.491407 cigarette smoking 0.579248 hookah smokers 0.703285 tobacco smoking 0.494595 public health initiatives 0.420173 college students 0.373818 tobacco-related disease 0.370924 hookah smoking 0.966861 Youth Hookah Smoking 0.730175 middle school students 0.427734 addictive drug nicotine 0.438321 Current hookah 0.603515 high school students 0.512498 National Youth Tobacco 0.471265 potential health hazard 0.424637 health risks 0.435949 low birth weight 0.421788 high potential levels 0.412047	CLICK HERE
4763	Centers for Disease Control and Prevention	Html	en	The governance of standard-setting to improve health.	null	public health interventions 0.315714 American foreign policy 0.269687 review organizations 0.380693 health care policy 0.427043 european community atlas 0.23408 industrial countries 0.261744 National Health Service 0.250166 Nations Health Organization 0.261779 evidence-based health research 0.311449 global health 0.264067 health professionals 0.228556 British health official 0.265762 population health 0.513665 World Health Organization 0.247484 countries 0.287972 public health officials 0.296239 health expenditures 0.244303 standards 0.384124 health status 0.266418 dysfunctional health systems 0.243334 health care infrastructure 0.282945 public officials 0.2712 Health Protection Agency 0.245238 public health policy 0.359486 United States 0.319802	health districts 0.230729 national security policy 0.227956 conventional governance 0.274368 policy set standards 0.294363 multiple determinants 0.228509 health policy 0.372482 health improvement 0.227689 health services 0.392429 population health status 0.250121 Milbank Memorial Fund 0.267764 foreign policy 0.547237 health care 0.762323 public health 0.362213 advocacy groups 0.298127 global health evince 0.246937 health 0.911416 best available evidence 0.248352 policy making 0.235384 policy makers 0.687611 population health policy 0.327636 organizational governance 0.25399 systematic reviews 0.435301 health risks 0.227329 governance 0.712183	CLICK HERE
4809	Centers for Disease Control and Prevention	Html	en	Cardiovascular risk according to plasma apolipoprotein and lipid profiles in a Canadian First Nation	null	HDL profile 0.274538 particle size 0.403982 positive linear trend 0.275584 plasma HDL levels 0.371804 plasma triglyceride levels 0.288068 cardiovascular risk factors 0.658305 plasma HDL cholesterol 0.411472 higher cardiovascular risk 0.31347 total cholesterol 0.275906 apoB 0.321276 traditional cardiovascular risk 0.316371 diastolic blood pressure 0.412903 lipoprotein particle size 0.37861 lower apoA1 levels 0.300604 small HDL particles 0.428969 dense HDL particles 0.383378 cardiovascular disease risk 0.36236 large HDL particles 0.52862 study community 0.298184 HDL cholesterol levels 0.910827 HDL particle size 0.322962 lower HDL cholesterol 0.393424 aboriginal people 0.362012 LDL cholesterol levels 0.486617 low hdl cholesterol 0.53094	plasma LDL cholesterol 0.31468 women 0.345865 study 0.307774 higher HDL cholesterol 0.405999 beneficial large HDL 0.316579 Canadian Aboriginal people 0.296102 high-density lipoprotein levels 0.304578 high diabetes rates 0.304193 significantly higher apoA1 0.275712 apoA1 ratio 0.382722 high triglyceride levels 0.294151 cardiovascular risk 0.885696 insulin resistance 0.605458 Nation community 0.345707 cardiovascular disease 0.610123 high cardiovascular risk 0.311086 plasma lipid levels 0.351437 cardiovascular risk factor 0.310521 HDL cholesterol concentrations 0.389016 lipoprotein cholesterol measurements 0.31502 Manitoba Health Research 0.283045 coronary heart disease 0.28387 triglyceride levels 0.344847 diabetes 0.439368	CLICK HERE
5225	Centers for Disease Control and Prevention	Html	null	Lymphatic Filariasis in the Americas	Lymphatic filariasis (LF) is a disabling parasitic disease caused by worms that are spread from person-to-person by the bite of infected mosquitoes.			CLICK HERE
7871	Centers for Disease Control and Prevention	Html	en	Malaria and International Travel - Health Communication	Malaria and International Travel - Gateway to Health Communication - CDC	South America 0.559986 Insect repellents 0.549816 high school 0.54369 graduation present 0.546918 health care provider 0.683632 longer length 0.539362 extensive testing 0.546865 malaria-risk area 0.679982 antimalarial drugs 0.585499 Indian subcontinent 0.564138 malaria-risk areas 0.575952 cerebral malaria 0.770167 malaria drug 0.791604 DEET concentration 0.570947 prompt medical attention 0.673631 life-threatening infectious disease 0.722754 infected female Anopheles 0.738693 protective immunity 0.581071 Time-release products 0.548151 Malaria symptoms 0.867712 Yes. Malaria 0.803557 new cases 0.561564 North Americans 0.555911 Early diagnosis 0.551041 malaria causes 0.822469	United States 0.737111 kidney failure 0.56564 long-sleeved shirts 0.542584 malaria 0.97225 Untreated malaria 0.855641 repeated attacks 0.557503 Middle East 0.559472 initial onset 0.564107 sub-Saharan Africa 0.562819 Southeast Asia 0.55772 medical attention 0.689145 muscle aches 0.58577 clinic physician 0.545327 flu-like symptoms 0.605393 modern housing 0.541446 health insurance plans 0.678919 malaria transmission 0.807359 international travelers 0.590415 antimalarial drug 0.581504 risk area 0.55949 Indira 0.56044 window screens 0.537909 mosquito net 0.583287 sub-tropical countries 0.570136	CLICK HERE
8054	Centers for Disease Control and Prevention	Html	en	Preconception Care, Show Your Love Campaign - Buttons, Press Releases, E-Cards, Strategies	null	CDC Foundation 0.574681 best way 0.568552 iOS 0.363726 body 0.351064 web address 0.555317 Insert your organization 0.531557 number 0.354391 priorities 0.356626 pages 0.345875 awareness 0.354428 app 0.356016 press release 0.718478 images 0.383281 web site 0.557179 campaign logo 0.558357 Pregnancy Important 0.539129 main messages 0.543015 couples 0.347845 Android 0.359003 materials 0.410181 Future Health 0.527716 women 0.97292 checklists 0.404654 code 0.388196	Anthem 0.354861 paste 0.403507 printable formats 0.551322 button 0.501925 Pregnancy Benefits Moms 0.723695 local community 0.527416 trifold version 0.846706 target specific groups 0.835111 preconception health 0.575923 Love campaign 0.549628 Talking Points 0.542969 web page 0.735323 resources 0.354367 photo 0.34776 people 0.348353 doctor 0.346303 simple steps 0.568339 healthcare provider 0.55681 partners 0.401841 organization’s goals 0.569223 Women’s Health 0.555818 time 0.351192 health plan 0.549537 family 0.353098	CLICK HERE
8851	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Using Geographic Information Systems to Compare Municipal, County, and Commercial Parks Data - CDC	Parks are an integral part of a favorable built environment, and several studies have found a positive association between a favorable built environment and physical activity.	North Carolina 0.868901 municipal/county parks data 0.608124 commercial parks data 0.660381 municipal/county data 0.712583 commercial data source 0.512617 Internet searches 0.542171 parks 0.986204 Maryland parks 0.552724 Prev Med 0.503507 sq mi 0.728326 parks data 0.714689 data sources 0.940405 mobile home parks 0.589366 absolute proportion difference 0.496501 local parks data 0.584687 commercial sources 0.571926 municipal/county park data 0.541568 York study area 0.497976 New York study 0.498475 commercial data sources 0.644029 private parks 0.551072 state parks 0.52833 municipal/county GIS data 0.504323 commercial park data 0.530856 telephone inquiries 0.522857	Maryland study area 0.497086 different parks 0.523029 national parks 0.528914 favorable built environment 0.514456 large metropolitan areas 0.494121 secondary parks data 0.612961 study 0.537338 study area 0.528025 comprehensive parks 0.521374 municipal/county sources 0.579317 municipal/county data sources 0.699217 private neighborhood parks 0.566758 commercial source 0.510189 public health 0.491164 New York 0.795475 regional parks 0.532724 commercial data 0.679537 North Carolina parks 0.586301 physical activity 0.834555 New York parks 0.604277 Introduction Parks 0.546592 park data sources 0.533538 facilities 0.49105 new parks 0.554188	CLICK HERE
9577	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Disability, Health, and Multiple Chronic Conditions Among People Eligible for Both Medicare and Medicaid, 2005"2010 - CDC	People who are eligible for both Medicare and Medicaid (dual eligibles) and who have disabilities and multiple chronic conditions (MCC) present challenges for treatment, preventive services, and cost-effective access to care within the US health system.	Medical Expenditure Panel 0.368966 high school 0.398011 dual eligible population 0.477619 disability 0.501732 mental health 0.370199 functional limitations 0.417625 cognitive disabilities 0.386234 multiple chronic conditions 0.415244 high school education 0.357197 assistive device 0.365539 national health care 0.355329 poor health status 0.48842 daily living 0.367252 angina pectoris 0.36938 health care providers 0.355451 Expenditure Panel Survey 0.369308 age category 0.35839 health care services 0.378431 cognitive limitations 0.646022 Human Services Strategic 0.365363 physical disability 0.398585 health status 0.520935 dual eligible populations 0.388692 significant odds 0.356843	usual source 0.41414 disability category 0.401862 MEPS 0.381462 long-term need 0.381315 heart attack 0.364688 functional disability limitations 0.418447 physical disabilities 0.551844 long-term walking limitations 0.395756 health care 0.449938 dual eligibles accounts 0.39977 federal poverty guidelines 0.359654 health characteristics 0.367627 health 0.53696 cognitive limitation 0.477456 MCC 0.553736 health care coverage 0.355696 medical care 0.388813 people 0.379193 chronic conditions 0.793564 Services Strategic Initiative 0.364767 memory loss 0.370952 high school diploma 0.358356 coronary heart disease 0.418923 dual eligibles 0.984161	CLICK HERE
10113	Centers for Disease Control and Prevention	Html	en	CDC Global Health - South Africa - Associate Professor Before 29 Years	null	Nigerian community newspaper 0.670628 HIV pathogenesis 0.63661 Professor Thandi Puoane 0.626906 National Merit Certificate 0.62611 fewer new HIV 0.704303 chronic lifelong disease 0.623607 South Africa.To follow 0.681683 Public Health degree 0.675348 Disease Control 0.636834 Ehimario Uche Igumbor 0.680931 Ehimario Igumbor 0.653635 Nigerian Voice Newspaper 0.815805 Masters Degree course 0.647339 university academic career 0.673641 Zimbabwe Medical School 0.634004 African higher education 0.628668 Associate Professor 0.690244 academic excellence 0.633515 Western Cape 0.642708 Ehimario U. Igumbor 0.680111 South African institutions 0.662631 Strategic Information Branch 0.640596 prestigious competitive contests 0.631476 Nigerian High Commission 0.704655 masters degree 0.648729	Extraordinary Associate Professor 0.642596 South Africa 0.966283 South African AIDS 0.678506 Nigerian National Mathematical 0.692548 challenges public health 0.64911 Best Overall Academic 0.643591 Golden Key International 0.627812 Best Honors Research 0.63842 Nigerian Independence Celebrations 0.694326 increasingly HIV 0.64705 formidable health challenges 0.637143 currently mooted AIDS 0.642871 eligible infected patients 0.630995 chronic manageable disease 0.627413 public health 0.814013 on-going research projects 0.626191 University Book Prize 0.641896 Mr. Sam Igumbor 0.624369 Emeritus Professor David 0.625678 relevant HIV vaccines 0.69146 various sub-population groups 0.620715 HIV deaths 0.645419 Nigerian Community Award 0.70663 Professor Eunice Igumbor 0.644289	CLICK HERE
13005	Centers for Disease Control and Prevention	Html	en	Julia's Biography | Real Stories | Tips From Former Smokers	Julia smoked and got colorectal cancer. Her full story and her videos are part of CDC's Tips From Former Smokers campaign.	brothers 0.530586 cigarettes—her energy 0.640965 singing voice 0.638215 danger 0.532372 chemotherapy 0.532409 tiny camera 0.655643 strong voice 0.631534 ostomy bag 0.655503 healing process 0.645144 church choir 0.640592 narrow tube 0.654367 vomiting 0.535478 family members 0.769472 simple exam 0.656372 curiosity 0.538465 diarrhea 0.535185 pack 0.534394 young son 0.65208 adventure 0.533571 symptoms 0.531114 puff 0.538316 Mississippi 0.533591 child 0.529536 early twenties 0.684057 abdomen 0.537574	smokers 0.533335 life 0.635544 niece 0.534708 smoking 0.558666 gas 0.531088 hospital 0.562376 colonoscopy 0.5377 New York 0.676414 mind 0.535659 Mississippi—raising 0.530687 pain 0.529395 colostomy 0.534933 large family 0.667083 colon cancer 0.809523 sisters 0.530611 opportunities 0.533557 Julia 0.965244 doctor 0.530446 hole 0.529207 tumor 0.565041 intestines 0.540612 cramps 0.537937 age 0.531338 surgery 0.529771	CLICK HERE