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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
4862	Centers for Disease Control and Prevention	Html	en	The prevalence of multiple sclerosis in 3 US communities: the role of vitamin D [letter].	null	William B. Grant 0.536393 Photochem Photobiol 0.549027 recent article 0.452554 United States 0.713164 ultraviolet-B irradiance 0.474576 excellent findings 0.467198 antiendotoxin effects 0.433813 solar UV irradiance 0.581179 new dietary reference 0.564259 prevalence data 0.521653 viral infections 0.562641 dashed line 0.436674 later military service 0.526198 Nutr Rev 0.431635 estimated economic burdens 0.533642 previous studies 0.450992 Epstein-Barr virus 0.439689 solar ultraviolet irradiance 0.571366 risk factors 0.430555 highest rate 0.429823 Vitamin D Society 0.549439 quadratic fit 0.780345 multiple sclerosis 0.994928 Ann Neurol 0.42884	25-hydroxyvitamin D levels 0.430856 lowest levels 0.4424 Australian health officials 0.53618 possible risk factor 0.564057 Grant WB 0.549514 likely role 0.433089 UV radiation 0.457159 Munger K. Epidemiology 0.523849 Kurtzke JF 0.432606 vitamin D. 0.56222 Page WF 0.434445 MS prevalence 0.541413 National Academies 0.432122 strong support 0.429455 Sunlight Research Forum 0.546657 Canada). 0.429533 Figure. Prevalence 0.49622 solid line 0.436344 wintertime solar UVB 0.603061 UV Foundation 0.44061 Health Research Center 0.534249 beneficial properties 0.43338 Holick MF 0.428747	CLICK HERE
5211	Centers for Disease Control and Prevention	Html	en	Additional $34.2 Million for Public Health Improvement Programs through Affordable Care Act - Press Release: March 25, 2011	Additional $34.2 Million for Public Health Improvement Programs through Affordable Care Act	Centers 0.517654 better health outcomes 0.697892 health threats 0.625445 accreditation standards 0.590455 M.D. 0.530291 safe water 0.591517 territorial health departments 0.783951 strong public health 0.716881 Improvement Initiative 0.622919 behalf 0.516274 public health problems 0.730674 National Public Health 0.754338 Prevention 0.517628 new money 0.588826 CDC Director Thomas 0.692292 Disease Control 0.606662 U.S. DEPARTMENT 0.587229 health departments 0.851963 M.P.H 0.523798 ability 0.529952 additional funds 0.596377 Healthy People 0.583758 public health services 0.755777 additional Affordable Care 0.692418	public health 0.952857 visit http://www.cdc.gov/ostlts/NPHII/nphiifoa.html 0.58607 disasters 0.516184 Public Health Infrastructure 0.70331 timely detection 0.593069 Judith A. Monroe 0.661782 investment 0.517613 R. Frieden 0.605964 tribal 0.527519 adhere 0.521111 financial challenges 0.591129 national performance 0.587241 Territorial Support 0.609767 agents 0.517228 general public health 0.735064 public health capacity 0.71492 health reform efforts/projects 0.684437 Act 0.516346 limited resources 0.584814 HUMAN SERVICES 0.586131 Safe food 0.591603 outbreaks 0.518337 system-wide performance improvement 0.672399	CLICK HERE
7986	Centers for Disease Control and Prevention	Html	en	Binge Drinking Among Women and High School Girls: Vital Signs - United States, 2011	Background: Excessive alcohol use accounted for an estimated average of 23,000 deaths and 633,000 years of potential life lost (YPLL) among women and girls in the United States each year during 2001–2005. Binge drinking accounted for more than half of those deaths and YPLL. Binge drinking also is a risk factor for many health and social problems among women and girls, including unintended and alcohol-exposed pregnancy, sexually transmitted diseases, and breast cancer.	gastric alcohol dehydrogenase 0.449031 presumed alcohol consumption 0.455848 Binge drinking intensity 0.560954 legal drinking 0.457956 Risk Factor Surveillance 0.449861 binge drinking 0.979191 blood alcohol levels 0.470957 health risk behaviors 0.450795 alcohol advertising 0.446105 Risk Behavior Survey 0.4531 alcohol spectrum disorder 0.475274 Youth Risk Behavior 0.452576 Alcohol Alcohol 0.471335 Preventive Services Task 0.466604 Excessive alcohol use* 0.461019 alcohol 0.581973 response rate 0.457456 higher blood alcohol 0.451191 current alcohol 0.542593 U.S. high school 0.46277 heavy drinking 0.455256 fetal alcohol spectrum 0.474995 U.S. adult women 0.47918 Behavioral Risk Factor 0.449641 women 0.552422	high blood alcohol 0.480321 U.S. Preventive Services 0.468657 United States 0.453938 drinks 0.4688 alcohol consumption 0.54009 alcohol misuse 0.450749 adult drinking behavior 0.472333 national Youth Risk 0.452456 excessive alcohol 0.476421 U.S. state alcohol 0.45278 highest binge drinking 0.540225 B. Binge drinking 0.540116 excessive drinking 0.45946 alcohol outlet density 0.450072 Services Task Force 0.493611 high school students 0.455092 alcohol sales 0.458416 binge drinking prevalence 0.618189 Naimi TS 0.465341 Community Preventive Services 0.446536 blood alcohol concentrations 0.456526 high school girls 0.730349 binge drinking frequency 0.55607 excessive alcohol consumption 0.452831	CLICK HERE
8127	Centers for Disease Control and Prevention	Html	en	Stroke Conditions	Some medical conditions, including high blood cholesterol, increase your stroke risk. Learn about the conditions connected with the risk of stroke.	red blood cells 0.431484 plaque 0.313582 sickle cells 0.378602 arteries 0.417641 body 0.381044 sickle cell disease 0.541161 health care team 0.445761 atrial fibrillation 0.372107 abnormal sickle shape 0.43181 Work 0.314142 heart conditions 0.366505 flow 0.324454 National Heart 0.366114 Hispanic children 0.363693 liver 0.32482 blood vessels 0.388918 irregular heartbeat 0.371527 Blood Institute 0.381878 chances 0.335002 heart chambers 0.367255 heart valve defects 0.423351 blood vessel 0.376603 oxygen-rich blood 0.385445 insulin 0.344807	high levels 0.374739 various parts 0.366419 lifestyle changes 0.370926 Common heart disorders 0.425168 certain foods 0.368796 common medical conditions 0.4417 artery disease increases 0.428338 ischemic stroke 0.450488 glucose 0.315415 blood test 0.387004 blood disorder 0.379617 triglycerides 0.317347 brain 0.355478 stroke 0.696832 fat-like substance 0.371215 people 0.324126 doctor 0.324927 high blood pressure 0.926589 body needs 0.366593 blood clots 0.387453 risk 0.390972 main cause 0.376899 extra cholesterol 0.391655 waxy 0.316554	CLICK HERE
8234	Centers for Disease Control and Prevention	Html	en	VWD, Facts - NCBDDD	null	bleeding 0.537703 common bleeding events 0.468043 blood tests 0.358643 common bleeding disorder 0.485367 normal bleeding 0.45461 heavy menstrual bleeding 0.469331 type 0.452119 easy bruising 0.361462 small blood cells 0.426255 hard-to-stop bleeding 0.448901 heavy menstrual periods 0.401469 low levels 0.454643 spontaneous mutation 0.36 commonly used types 0.397069 VWD 0.946396 VWF 0.713216 high-strength nasal spray 0.398281 menstrual blood loss 0.409191 complete lack 0.36016 Von Willebrand disease 0.417024 VWF protein 0.474717 person 0.518769 menstrual periods 0.419006 unusual bruising 0.357461 bleeding symptoms 0.421082	specific problem 0.360476 United States 0.362148 von Willebrand factor 0.439208 Birth control pills 0.399139 factor 0.462723 milder forms 0.45969 mildest form 0.361789 normal amounts 0.360867 rarest type 0.36554 blood disorder 0.371961 blood-clotting protein 0.357059 people 0.547905 blood 0.499374 U.S. population 0.360312 recent bleeding 0.422364 nasal spray 0.401041 body stop 0.359633 missing factor 0.370672 blood clots 0.4072 low level 0.361744 Recombinant VWF 0.44883 major signs 0.356821 normal levels 0.398689 internal organs 0.361832	CLICK HERE
8972	Centers for Disease Control and Prevention	Html	en	June 2013 Edition - Public Health Law News	null	Health Insurance Marketplace 0.395743 public health interventions 0.415979 Health Aquatic Symposium 0.406994 broader health care 0.405882 health care delivery 0.562567 Health Law News 0.39982 naccho annual conference 0.395093 Senior Health Care 0.41232 Indiana State Health 0.402863 contributions public health 0.403571 public health partners 0.414548 State Health Officials 0.412804 public health emergencies 0.462109 health system transformation 0.406868 Health Laboratories Annual 0.401275 Affordable Care Act 0.411743 health law evaluations 0.402262 Public Health Initiative 0.412236 National Environmental Health 0.4289 health care transformation 0.426742 state health commissioner 0.413937 state public health 0.449112 public health laboratories 0.445371 public health agencies 0.439631 Public Health Future,which 0.423302	public health governance 0.422499 state health care 0.418708 territorial public health 0.41466 health care support 0.404987 Public Health Ethics 0.433243 health care marketplaces 0.41847 U.S. public health 0.415088 public health work 0.419657 CDC Public Health 0.486587 public health professionals 0.457558 state health 0.434922 public health 0.951112 health care 0.585632 better health care 0.402961 public health law 0.768377 Health Law Program 0.461135 health insurance plans 0.418403 health law research 0.559083 health care coverage 0.408035 local public health 0.455971 Model Aquatic Health 0.413761 new health insurance 0.40259 Health Association Annual 0.397219 Aquatic Health Code 0.409041	CLICK HERE
12900	Centers for Disease Control and Prevention	Html	en	Vital Signs: Seat Belt Use Among Long-Haul Truck Drivers -United States, 2010	On March 3, 2015 this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr).	logistic regression analysis 0.630632 nonfatal truck crashes 0.561054 speed limit 0.557662 United States 0.600726 primary seat belt 0.635329 vehicle crash fatalities 0.566919 comfortable seat belt 0.625351 motor vehicle crash 0.630861 motor vehicle 0.665749 long-haul truck drivers 0.623243 Transportation recordable crashes 0.551293 seat belt.** 0.571757 eligible drivers 0.557926 truck crashes 0.601232 primary belt law 0.594626 truck drivers 0.70642 LHTDs 0.592638 federal regulations 0.556799 seat belt nonuse 0.680082 seat belt.¶¶ Findings 0.580998 large trucks 0.570928 logistic regression 0.662926 belt positioning 0.564256 truck stops 0.547072	risk factors 0.655165 Primary state belt 0.597568 safety programs 0.590586 comprehensive safety programs 0.568054 seat belt systems 0.698567 body mass index 0.597446 seat belt laws 0.665959 motor vehicle safety 0.547489 female truck drivers 0.559836 fatal large-truck crashes 0.546798 belt design 0.566153 truck driver safety 0.577503 seat belt 0.945925 enforcement seat belt 0.68094 primary enforcement seat 0.636303 observed seat belt 0.629434 anthropometric data 0.557183 survey 0.556749 primary enforcement belt 0.58606 motor vehicle crashes 0.606716 seat belt law 0.646155 tractor-trailer truck drivers 0.567372 truck stop selection 0.54924	CLICK HERE
13295	Centers for Disease Control and Prevention	Html	en	Approaches for Controlling Illicit Tobacco Trade - NineCountries and the European Union	Hana Ross, PhD1; Muhammad Jami Husain, PhD2; Deliana Kostova, PhD2; Xin Xu, PhD2; Sarah M. Edwards, MSPH2; Frank J. Chaloupka, PhD3; Indu B.	EU action plan 0.292856 illicit trade 0.887343 common anti-illicit–trade measures 0.269873 multiple international sources 0.280396 illicit domestic movement 0.412362 track-and-trace systems 0.467235 illicit tobacco trade 0.915775 tobacco trade refers 0.38644 commonly identified approaches 0.287961 World Health Organization 0.344886 tobacco prevention 0.335944 Frank J. Chaloupka 0.281971 address illicit tobacco 0.470901 fully functioning track-and-trace 0.275603 countries 0.4236 tobacco industry 0.336419 tobacco products 0.658683 national recordkeeping 0.321215 global tobacco prevention 0.325471 global information sharing 0.271494 domestic illicit market 0.412134 Sarah M. Edwards 0.276776 Indu B. Ahluwalia 0.282361 commonly used approaches 0.283221 EU member states 0.296257	global capacity 0.311127 EU Tobacco Products 0.368081 Muhammad Jami Husain 0.351175 individual member states 0.277947 government tax revenue 0.286515 product markers 0.352019 U.S. tobacco market 0.326014 public awareness 0.27784 trade protocol 0.58557 tobacco taxes 0.296568 world cigarette market 0.280865 illicit trade incentives 0.437618 Tobacco Control 0.305761 standard track-and-trace model 0.27629 approaches 0.288852 tobacco companies 0.295927 member states 0.336371 Chronic Disease Prevention 0.313585 illicit trade protocol 0.503868 tax harmonization 0.319783 Illicit trade undermines 0.495288 illicit market 0.421118 tax evasion 0.283685 Public awareness programs 0.270661	CLICK HERE
15309	Centers for Disease Control and Prevention	Html	en	Data Sources, Methods, and Limitations	FluVaxView Interactive Data Sources, Methods, and Limitations - CDC	data sources 0.634432 seasons 0.214026 FluVaxView Interactive 0.726048	methods 0.210358 season 0.207856 trend report data 0.891596	CLICK HERE
16241	Centers for Disease Control and Prevention	Html	en	CDC Grand Rounds: Family History and Genomics as Tools forCancer Prevention and Control | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	risk assessment 0.630306 triple negative breast 0.586343 health care provider 0.648276 family cancer history 0.621535 Human Services 0.592182 Cancer Genomics Program 0.89218 public health genomics 0.674737 primary care providers 0.591374 hereditary cancer syndromes 0.653663 cancer genetic service 0.586601 colorectal cancer screening 0.58548 health care providers 0.721106 Preventive Services Task 0.668537 hereditary cancer syndrome 0.614378 cancer risk reduction 0.611113 cancer genetic literacy 0.584241 colorectal cancer 0.685513 population health 0.592979 ovarian cancer 0.759834 cancer risk assessment 0.596687 negative breast cancer 0.654607 family health history 0.787411 state public health 0.585595 U.S. Preventive Services 0.587663 cancer prevention 0.581474	Public health initiatives 0.633795 health history applications 0.609694 ovarian health basics 0.569225 ovarian cancers 0.57438 breast cancer susceptibility 0.61028 Michigan Cancer Genomics 0.843911 genetic counseling 0.952729 cancer genomics activities 0.618445 public health professionals 0.650549 public health 0.990146 health care 0.762889 Lynch syndrome 0.926295 Bright Pink 0.575511 Health Cancer Genomics 0.678197 colorectal cancer cases 0.572173 breast cancer 0.745933 public health programs 0.574505 Services Task Force 0.67161 hereditary cancers 0.575437 family history 0.779637 genetic testing 0.767315 et al 0.584913 health insurance providers 0.569549 ovarian cancer syndrome 0.662555	CLICK HERE