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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
577	Centers for Disease Control and Prevention	Html	en	Prevent Carbon Monoxide (CO) Poisoning | CDC Features	When you set your clocks backward one hour Sunday, November 6, 2016, remember to check the batteries in your CO detector.	gas ranges 0.534544 door 0.375229 water heater 0.536582 great time 0.557969 back-up CO alarm 0.61539 emergencies 0.343932 camper 0.342247 wood 0.341729 animals 0.375193 heating 0.38129 Poisoning website 0.62195 carbon monoxide 0.572979 prompt medical attention 0.707675 furnaces 0.342584 lanterns 0.348649 clocks 0.46495 hurricanes 0.342106 Sunday 0.345871 back-up CO detector 0.839345 spaces 0.394404 gas oven 0.516402 basement 0.340354 coal burning appliances 0.718276 charcoal grill 0.526471 daylight savings time 0.992237	United States 0.545879 vehicles 0.341895 alternative sources 0.52991 power outages 0.544109 gasoline 0.340089 battery 0.513044 house 0.376741 fireplace 0.343255 power outage 0.526489 winter storms 0.539608 poisoning prevention tips 0.805359 Prepare 0.344662 portable generators 0.539027 visit CDC 0.511176 charcoal-burning device 0.507822 stoves 0.344628 batteries 0.401788 breathing 0.342332 garage 0.44727 camp stove 0.536794 technician 0.341407 people 0.420193 home 0.512293 additional languages 0.517366	CLICK HERE
5416	Centers for Disease Control and Prevention	Html	en	Using small-area estimation method to calculate county-level prevalence of obesity in Mississippi, 2007-2009.	null	county obesity rates 0.554959 adult obesity prevalence 0.628246 obesity rates 0.630334 state-level obesity rate 0.547968 obesity control programs 0.563209 Risk Factor Surveillance 0.491375 fixed-effect parameter estimates 0.499932 state-level model estimates 0.500368 design-based direct estimates 0.497369 public health problems 0.500648 obesity map 0.529855 county-level estimates 0.569973 highest obesity rates 0.564445 direct estimates 0.592612 BRFSS data 0.515668 small-area estimates 0.49401 education level 0.491039 obesity prevalence 0.921383 estimates 0.603126 obesity prevention policies 0.564234 Mississippi counties 0.523634 respective direct estimates 0.495827 county-level obesity prevalence 0.735228 obesity estimates 0.576501	Mississippi 0.564774 Mississippi BRFSS data 0.509211 Mississippi State Department 0.558524 lower obesity rates 0.546149 higher obesity rates 0.553229 model-generated parameter estimates 0.496378 Behavioral Risk Factor 0.492709 county-level prevalence 0.506324 state obesity prevalence 0.600585 reliable county-level estimates 0.526598 Introduction Obesity 0.553804 model estimates 0.519951 small-area county-level estimates 0.519717 random-effect parameter estimates 0.533966 county prevalence 0.500516 reliable prevalence estimates 0.54662 child obesity crisis 0.539917 obesity status 0.527945 obesity epidemic 0.618814 obesity prevention campaigns 0.542819 employment status 0.498534 small-area estimation 0.57477 small-area estimation method 0.553213 linear mixed model 0.523482	CLICK HERE
7057	Centers for Disease Control and Prevention	Html	en	Global Health - Guinea-Bissau	null	Content source 0.892652 HHS 0.699811 endorsement 0.682673 CDC 0.617915	non-federal site 0.998525 Notice 0.617482 sponsors 0.49087 information 0.490002	CLICK HERE
7663	Centers for Disease Control and Prevention	Html	en	Off the Beaten Path: Violence, Women, and Art	David J. Sencer CDC Museum	storytelling 0.445367 better understanding 0.636715 project 0.475839 girls 0.476495 hope 0.43815 issues 0.477657 executive director 0.648156 cutting-edge art 0.672441 themes 0.437328 basic human rights 0.879973 Yoko Ono 0.720253 awareness 0.475565 action 0.44052 nonprofit group Art 0.856013 Culture 0.436962 Beaten Path 0.994825 Randy Jayne Rosenberg 0.895216 important social messaging 0.862091 goal 0.43886 Japan 0.442771 important topic 0.633104 feeling 0.451033 countries 0.442893 Individual 0.437232 various definitions 0.630715	actions 0.437668 Hank Willis Thomas 0.907078 Wangechi Mutu 0.665496 women 0.476572 abuse 0.437851 contemporary artists 0.667916 inspiration 0.442344 world 0.441913 new conversation 0.645776 Art Works 0.845575 audiences 0.44218 France 0.442628 violence 0.797955 exhibition 0.43803 USA 0.44224 address systems 0.653492 positive social change 0.862909 Kenya 0.448942 beliefs 0.437531 secure life 0.660021 Palestine 0.455024 Family 0.437136 Mona Hatoum 0.68242 Community 0.437039	CLICK HERE
8128	Centers for Disease Control and Prevention	Html	en	CDC - Sodium Reduction Resources for Everyone -DHDSP	null	list Skip 0.625394 sodium intake 0.94477 health e-card 0.378843 page options Skip 0.884253 resources 0.213579 steps 0.253112	navigation Skip 0.630528 excess sodium 0.951254 diet 0.207591 sodium reduction tools 0.889688 health effects 0.560248 public health 0.347697	CLICK HERE
9110	Centers for Disease Control and Prevention	Html	en	Exchange Transfusion - Malaria	Malaria is a mosquito-borne disease caused by a parasite. CDC provides scientific leadership in fighting malaria at home and around the globe.	severe malaria 0.953733 CDC 0.369135 fact 0.315352 intravenous quinidine 0.388233 evidence 0.349888 data 0.314688 United States 0.384968 portion 0.3169 antimalarials 0.315514 significant association 0.377859 respiratory distress syndrome 0.595819 renal compromise 0.388435 survival outcome 0.382603 antimalarial drugs 0.400915 Adverse events 0.378162 exchange transfusion 0.481979 infected cells 0.390146 comprehensive study 0.378625 published literature 0.376539	adjunct ET 0.509269 cerebral malaria 0.465888 adjunct treatment 0.406439 toxic byproducts 0.392081 hypotension 0.319437 ventricular fibrillation 0.384234 acute respiratory distress 0.600148 complications 0.315577 entirety 0.319241 high parasite loads 0.454134 patients 0.330635 countries 0.315553 procedure 0.315485 National Malaria Surveillance 0.524225 rationale 0.318754 efficacy 0.317835 ET 0.787431 infected patient 0.392683	CLICK HERE
11321	Centers for Disease Control and Prevention	Html	en	Disseminate	The disciplines of communication and social marketing, as well as translational research, could contribute significantly to more effective dissemination.	effective research 0.450844 habits 0.234764 NIH Program Announcement 0.7288 NIH Annual Conferences 0.744745 Science 0.229755 research findings 0.47673 health literacy research 0.682956 NIH National Cancer 0.927447 social marketing 0.402969 Advances 0.235635 Effective Promotion 0.392461 R01 0.262484 AHRQ Recovery Act 0.615339 pages 0.230767 Kaiser Permanente Colorado 0.56541 KB 0.243397 National Cancer Institute 0.546218 translational research 0.46751 communication 0.232106 Health Research 0.448309 Healthcare Research 0.56251 Original research 0.474488	public health 0.467111 health care 0.453414 prevention 0.235743 effective dissemination 0.625935 goal 0.259745 HHS Agency 0.631586 Public Awareness 0.399199 National Cancer Institutes 0.54698 large segments 0.426279 resources 0.231524 Dissemination model 0.586402 Awards 0.230293 Public Reporting No. 0.55896 Region Institute 0.383156 failure 0.233764 evidence-based interventions 0.419114 AHRQ Best Practices 0.609439 complete text 0.395553 decades 0.240223 information 0.231003 Comparative Quality Reports 0.549819 National Action Plan 0.56323	CLICK HERE
13429	Centers for Disease Control and Prevention	Html	en	Use of Aspirin for Prevention of Recurrent AtheroscleroticCardiovascular Disease Among Adults - 20 States and the District ofColumbia, 2013	Jing Fang, MD1; Mary G. George, MD1; Yuling Hong, MD, PhD1; Fleetwood Loustalot, PhD1 (Author affiliations at end of text).	annual telephone survey 0.573014 fatal coronary events 0.587123 myocardial infarction 0.584564 National Health Interview 0.577235 Associated Risk Factors 0.57189 Public health practitioners 0.573907 optional BRFSS modules 0.575419 cardiovascular disease event 0.585497 data collection methods 0.585132 health care providers 0.575125 secondary prevention 0.582521 health care services 0.575267 ASCVD risk factors 0.688772 hemorrhagic stroke accounts 0.59184 BRFSS cardiovascular health 0.593758 ischemic vascular disease 0.596618 sociodemographic characteristics 0.587699 different risk groups 0.574014 regular aspirin therapy 0.798941 Behavioral Risk Factor 0.581202 current guidelines 0.573845 heart attack 0.813753 median state response 0.574291 ASCVD risk status 0.604103	atherosclerotic cardiovascular disease 0.659529 eligible respondents 0.604806 State Public Health 0.583994 secondary ASCVD prevention 0.706398 states 0.607439 acute coronary syndrome 0.585298 ASCVD risk factor 0.595999 heart attack prevention 0.656305 risk factors management 0.572083 cardiovascular health module 0.707928 pain relief 0.615364 ischemic stroke 0.603925 cardiovascular disease 0.705769 Million Hearts initiative 0.609187 antiplatelet medications 0.592662 Promote School Health 0.577212 regular aspirin 0.980409 stroke 0.668975 Chronic Disease Prevention 0.624592 Mary G. George 0.577922 cardiovascular disease events 0.5898 coronary heart disease 0.731429 stroke prevention 0.657322 cardiovascular disease prevention 0.609005	CLICK HERE
13864	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Meningococcal Disease Among Men WhoHave Sex with Men - United States, January 2012-June 2015	Hajime Kamiya, MD, PhD1; Jessica MacNeil, MPH2; Amy Blain, MPH2; Manisha Patel, MD2; Stacey Martin, MS2; Don Weiss, MD3; Stephanie Ngai, MPH3; Ifeoma Ezeoke, MPH3; Laurene Mascola, MD4; Rachel Civen, MD4; Van Ngo, MPH4; Stephanie Black, MD5; Sarah Kemble, MD5; Rashmi Chugh, MD6; Elizabeth Murphy, MPH6; Colette Petit6; Kathleen Harriman, PhD7; Kathleen Winter, MPH7; Andrew Beron, MPH8; Whitney Clegg, MD8; Craig Conover MD8; Lara Misegades, PhD2.	County Health Department 0.482633 CDC 0.451882 Los Angeles County 0.664581 City health department 0.494643 greater Chicago area 0.473735 meningococcal case report 0.541175 MSM populations 0.573681 New York City 0.746339 Chicago Department 0.474363 4Los Angeles County 0.462394 state health departments 0.563543 HIV status 0.505816 meningococcal infection 0.529221 risk factors 0.459189 case report form 0.460734 Meningococcal vaccination status 0.548151 public health officials 0.481368 Chicago cases 0.450909 gel electrophoresis data 0.459267 meningococcal disease 0.969429 3New York City 0.464166 Angeles County Department 0.527076 public health response 0.485065 human immunodeficiency virus 0.464911 national meningococcal case 0.552799	York City cases 0.481445 1Epidemic Intelligence Service 0.459082 meningococcal surveillance 0.514171 HIV-infected MSM 0.578327 United States 0.506987 meningococcal disease cases 0.670649 secure communications network 0.464143 National Notifiable Disease 0.475356 Jessica MacNeil 0.472149 state health department 0.489146 health departments 0.60493 meningococcal disease rates 0.551163 MSM status 0.705738 public health 0.614785 quadrivalent meningococcal vaccine 0.54182 sporadic cases 0.477549 individual e-mail correspondence 0.461951 MSM 0.843446 Angeles County cases 0.479573 meningococcal serogroup 0.54996 York City Department 0.52783 potential risk factors 0.456455 Rashmi Chugh 0.442203 case review period 0.46427	CLICK HERE
14282	Centers for Disease Control and Prevention	Html	en	Opioid Overdose State Data	null	drug overdose deaths 0.651659 North Carolina 0.200873 Rhode Island 0.400119 New York 0.208425 drug overdose death 0.825415 Multiple Cause Mortality 0.356814 statistically significant increases 0.428164 main driver 0.232302 significant increases 0.438163 drug overdose 0.971761 National Vital Statistics 0.351366 highest rates 0.215317	Wide-ranging Online Data 0.359936 New Jersey 0.208693 West Virginia 0.397181 overdose death rates 0.828677 South Census Regions 0.375626 opioid overdoses 0.262924 New Hampshire 0.386334 nonfatal injury 0.215231 public health professionals 0.348666 Epidemiologic Research 0.208003 public health information 0.341414	CLICK HERE