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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
6374	Centers for Disease Control and Prevention	Html	en	Prescription Painkiller Overdoses in the US - CDC Vital Signs	CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics.	nonmedical reasons 0.502643 emergency department visits 0.46451 health care provider 0.457768 rural counties 0.435364 state-run health plans 0.460332 prescription painkiller 0.767641 direct health care 0.465127 professional licensing boards 0.45697 effective treatment 0.435546 medical purpose 0.436852 prescription drug abuse 0.589904 big cities 0.434488 overdose deaths 0.472377 prescription painkillers* 0.558225 health care providers 0.4601 improper prescribing 0.435959 American adult 0.436325 doctor shopping 0.465558 pill mills 0.434233 prescription drug monitoring 0.557957 substance abuse treatment 0.498727 Store prescription painkillers 0.667511 way prescription painkillers 0.69743 20-year-old man 0.435682 car crash 0.43362	drug overdoses 0.434191 Prescription painkiller sales 0.580358 substance abuse problems 0.460939 West Virginia father 0.462159 health insurers 0.435731 prescription drug overdose 0.584988 secure place 0.432972 prescription claims 0.530236 large quantities 0.43338 effective pain treatment 0.45697 multiple prescribers 0.43527 prescription painkiller overdose 0.617148 health care 0.498649 Alaska Natives 0.464147 prescription painkillers—using drugs 0.589211 people 0.499317 powerful drugs 0.434944 prescription painkillers 0.986141 Middle-aged adults 0.436263 New Hampshire 0.434553 prescription painkiller abuse 0.574781 improper patient 0.436049 past decade 0.440268 epidemic levels 0.439747	CLICK HERE
6457	Centers for Disease Control and Prevention	Html	en	Metabolic syndrome among adults in New York City, 2004 New York City Health and Nutrition Examination Survey	The objective of this study was to describe the prevalence of and factors associated with metabolic syndrome among adult New York City residents.	high school 0.478831 MetS screening 0.523363 higher prevalence 0.489828 high LDL cholesterol 0.580341 Adult Treatment Panel 0.488016 NYC population 0.489089 NYC HANES 0.526438 New York City 0.926454 abdominal obesity 0.701893 CVD risk 0.500395 Nutrition Examination Survey 0.653333 alcohol 0.552091 blood pressure 0.60803 certain MetS components 0.544921 MetS abnormality 0.541419 waist circumference 0.494069 body mass index 0.666173 metabolic abnormalities 0.676366 elevated CVD risk 0.492718 oral hypoglycemic medication 0.482244 York City residents 0.493213 metabolic syndrome 0.788139 MetS 0.940762 age-adjusted MetS 0.528788	women 0.574927 blood glucose 0.762202 overall age-adjusted prevalence 0.487148 United States 0.499001 prevalence 0.622525 MetS prevalence 0.585153 men 0.54678 low HDL cholesterol 0.521258 high school degree 0.476423 NYC 0.554127 NYC adults 0.478853 participants 0.498003 York City Health 0.56147 fasting blood glucose 0.510804 Cholesterol Education Program 0.497489 age-adjusted prevalence 0.543554 MetS definition 0.554743 National Cholesterol Education 0.497689 people 0.514484 elevated blood pressure 0.56339 MetS risk 0.541509 York City adults 0.527524 elevated triglycerides 0.506746 confidence intervals 0.486567	CLICK HERE
6905	Centers for Disease Control and Prevention	Html	en	First H3N2 Variant Virus Infection Reported For 2012	First H3N2 Variant Virus Infection Reported For 2012 - CDC	variant influenza viruses 0.767721 CDC 0.379583 Cross-Reactive Antibodies 0.377276 H1N1 virus 0.451159 FluView influenza surveillance 0.572967 best protection 0.37298 young children 0.373742 clinical trials 0.374017 human-to-human transmission 0.448093 rare events 0.376386 routine surveillance 0.379861 influenza-positive sample 0.381484 influenza surveillance program 0.547968 H1N1 M gene 0.373641 Limited human-to-human transmission 0.432204 influenza virus infections 0.757262 public health investigations 0.455551 animal health officials 0.433048 Mortality Report Weekly 0.438813 state public health 0.582118 Variant Virus 0.450799 genetic markers 0.377351 Seasonal Influenza Vaccination 0.543078 influenza A H3N2v 0.511837	precautionary vaccine 0.37946 United States 0.63969 avian influenza viruses 0.685091 variant influenza virus. 0.588135 Follow-up testing 0.379563 West Virginia 0.455245 variant influenza virus 0.737936 possible variant influenza 0.591966 neuraminidase inhibitors 0.466931 Swine exposure 0.426749 additional human infections 0.477075 antiviral drugs 0.383656 H3N2v viruses 0.977767 H3N2v-specific influenza vaccine 0.54388 medical care 0.382907 human infections 0.604787 seasonal flu shot 0.568978 influenza viruses 0.794861 vaccine candidate virus 0.487116 medical visit 0.378195 United States Department 0.440384 additional human cases 0.456722 ongoing human-to-human transmission 0.428199 public health laboratory 0.586514	CLICK HERE
9029	Centers for Disease Control and Prevention	Video	en	A Time To Act | Fire-Related Injury and Death	Deaths from fires and burns are one of the most common causes of unintentional injury deaths in the United States. There are several steps you can take to reduce the risk of fire-related injury and death in the home. These include installing and regularly testing smoke alarms and practicing a fire escape plan at least twice a year. Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html This video can also be viewed at http://www.cdc.gov/cdctv/	Act 0.365045	Time 0.367813	CLICK HERE
10105	Centers for Disease Control and Prevention	Html	en	NIOSH-Solid Waste: Publications-Workplace Safety and Health Topic	null	waste industry workers 0.635803 solid waste industry 0.954108 NIOSH Alert 0.726885 death 0.329248 injuries 0.369079 illnesses 0.333828 adjacent area 0.474183 Tennessee 0.331267 densifier blade 0.491096 Occupational Research Agenda 0.608968 Fatality Assessment 0.559412 recommendations 0.411883 safe work procedures 0.629958 Compacting 0.382462 Baling Refuse Material 0.688126 hazards 0.330633 Plastics Recycling Plant 0.676267 Control Evaluation 0.491009 contact 0.329136 Deaths 0.334793 worker organizations 0.469296 operating 0.327439	respiratory protection 0.469381 air sampling 0.465614 Services Sector goals 0.602524 government agencies 0.467822 fatality statistics 0.530426 labor unions 0.469259 energy control programs 0.631055 airborne microbiologic aerosols 0.626749 air-cleaning devices 0.503665 safety program 0.486072 energy lockout procedures 0.663317 personal breathing zone 0.609964 NIOSH staff 0.674639 landfill compactors 0.542299 industry associations 0.482985 Rumpke 0.32902 county health district 0.608786 equipment inspection 0.486525 waste industry fact 0.64145 Colerain Township 0.503508 fatalities 0.359201 appropriate safety devices 0.631732	CLICK HERE
11639	Centers for Disease Control and Prevention	Html	en	Men Living with Diagnosed HIV Who Have Sex with Men:Progress Along the Continuum of HIV Care - United States,2010	Sonia Singh, PhD1, Heather Bradley, PhD1, Xiaohong Hu, MS1, Jacek Skarbinski, MD1, H. Irene Hall, PhD1, Amy Lansky, PhD1 (Author affiliations at end of text).	National HIV/AIDS Strategy 0.428978 new HIV infections 0.482691 data 0.406237 United States population 0.369126 black/african american msm 0.955048 Hispanic/Latino MSM 0.489386 health outcomes 0.431572 older MSM 0.521598 HIV-related health disparities 0.424346 viral suppression 0.695973 Health care providers 0.377775 Diagnosed HIV 0.429072 viral suppression §§ 0.387893 H. Irene Hall 0.367958 lowest percentage 0.420578 ART prescription 0.460812 persons 0.386858 lower levels 0.362294 undetectable viral load 0.381014 HIV transmission categories 0.427628 health care settings 0.376754 human immunodeficiency virus 0.365699 white MSM 0.598051 recent viral load 0.366851	care 0.513991 Medical Monitoring Project 0.362633 Puerto Rico 0.438219 United States 0.597808 HIV-negative MSM 0.472225 MSM access 0.474129 National HIV Surveillance 0.432144 HIV Care Continuum 0.471651 MSM account 0.471261 highest percentage 0.365441 Sonia Singh 0.368226 unknown HIV status 0.413515 HIV Behavioral Surveillance 0.463193 HIV prevention efforts 0.41469 consistent viral suppression 0.379446 lowest level 0.390431 HIV incidence 0.390124 younger msm 0.52255 National HIV Behavioral 0.464932 medical care 0.376 routine HIV screening 0.414152 HIV 0.775392 HIV testing 0.409633 young MSM 0.47364	CLICK HERE
11669	Centers for Disease Control and Prevention	Html	en	Ebola Virus Disease Outbreak - Nigeria, July-September2014	On September 30, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr).	small Ebola outbreak 0.617412 Ebola contact 0.580656 national EOC 0.486177 Lagos 0.567174 Ebola contacts 0.583422 public health assets 0.492773 Ebola virus 0.794652 Ebola laboratory diagnosis 0.617561 Lagos State 0.536458 Ebola transmission 0.566949 Ebola treatment facilities 0.615964 Lagos University Teaching 0.502015 quality Ebola treatment 0.578065 World Health Organization 0.508271 contact tracing 0.465695 National Polio EOC 0.48873 available public health 0.496817 EOC response teams 0.506169 Ebola EOC IM 0.704003 Port Harcourt 0.499994 Ebola patients 0.557251 Lagos State Ministry 0.501633 Ebola 0.905522 Ebola virus disease 0.647052	state Ebola response 0.651876 Ebola emergency 0.613393 Incident Management Center 0.491797 Ebola virus infection 0.617335 possible Ebola 0.587783 Ebola exposure 0.577975 community Ebola assessment 0.583531 Lagos State government 0.512486 public health threats 0.477949 EOC Deputy IM 0.474327 index patient 0.474101 health care workers 0.466557 Ebola Incident Management 0.655041 public health emergency 0.490038 Nigeria 0.469669 public health 0.697718 Ebola symptom development 0.608393 Ebola EOC response 0.725774 laboratory-confirmed Ebola cases 0.725065 Ebola responses 0.586111 Ebola signs 0.556087 EOC case-management team 0.503717 case management team 0.518412 subsequent Ebola cases 0.601322	CLICK HERE
13955	Centers for Disease Control and Prevention	Html	en	Weight Outcomes of Latino Adults and Children Participating in the Y Living Program, a Family-Focused Lifestyle Intervention, San Antonio, 2012–2013	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.	health education 0.726742 YMCA staff members 0.796032 healthy lifestyle program 0.703512 education materials 0.637886 program 0.894946 group health education 0.630091 Texas Health Science 0.695756 body composition 0.652933 children 0.849618 body composition measures 0.629822 YMCA staff member 0.675813 healthy lifestyle 0.822148 family members 0.714261 family members share 0.628704 entire family 0.699713 Greater San Antonio 0.694269 waist circumference 0.675759 body mass index 0.672242 percentage change 0.623037 baseline 0.627586 median BMI percentile 0.626668 education sessions 0.731867 chronic disease 0.65563 adult family members 0.627514 group education sessions 0.685315	percentage body fat 0.728174 household members 0.627957 excess weight gain 0.789804 adults 0.751716 living program 0.693885 twice-weekly group education 0.683225 child family members 0.678809 disproportionately higher rates 0.63656 high-risk Latino families 0.639393 BMI percentile 0.717125 adult program participants 0.664646 participants 0.802626 San Antonio 0.944654 body fat percentage 0.640224 staff members 0.802053 annual household income 0.708495 families 0.757277 physical activity 0.625128 child participants 0.684929 Health Science Center 0.694496 12-week program 0.681662 Latino families 0.67521 3-month YMCA family 0.633307 adult participants 0.659503	CLICK HERE
15295	Centers for Disease Control and Prevention	Html	en	Making a Candidate Vaccine Virus (CVV) for a HPAI (Bird Flu) Virus	This factsheet describes how candidate vaccine viruses are made for use in highly pathogenic avian influenza (HPAI) 'bird flu' vaccines.	protective immune response 0.264093 CDC 0.26139 USDA Select Agent 0.267086 pathogenic bird flu 0.412735 type bird flu 0.457304 flu vaccine production 0.392728 domestic poultry 0.2702 human flu virus 0.408932 human health 0.271674 trypsin dependent plaque 0.262119 novel bird flu 0.420888 flu vaccines 0.348495 candidate vaccine virus 0.350163 bird flu viruses 0.541736 final step 0.264764 animal flu surveillance 0.370995 good laboratory practice 0.264371 polybasic cleavage site. 0.266397 cause severe illness 0.265863 specific flu viruses 0.37976 corresponding wild-type bird 0.27289 public health partner 0.27173 wild-type bird flu 0.415374 particular bird flu 0.373147 wild type 0.421698	polybasic cleavage site 0.262328 bird flu CVV 0.459143 CVV 0.532935 pandemic preparedness activities 0.273916 wild type bird 0.373322 virus stock 0.281394 virus stocks 0.303496 novel avian influenza 0.272213 chicken eggs 0.501331 immune response 0.26992 wild type virus 0.356295 agricultural interests 0.269387 Flu experts 0.351807 Highly pathogenic bird 0.324502 vaccine development 0.273915 seasonal flu CVV 0.393913 virus attenuation verification 0.30736 bird flu virus 0.982022 flu disease 0.312496 Select Agent 0.333856 egg-based vaccine production 0.275944 vaccine manufacturers 0.34615 severe illness 0.32487 polybasic cleavage 0.272901	CLICK HERE
15949	Centers for Disease Control and Prevention	Html	en	South Florida Maps | Zika Virus | CDC	Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention.	yellow area designation 0.999572 CDC 0.572143 4.5-square-mile area 0.206318 CDC updated guidance 0.508209 mosquito-borne spread 0.790095 Miami-Dade County 0.782181 South Miami Beach 0.350952 1.5-square-mile section 0.211836 Wynwood-designated area 0.215592	1-square-mile area 0.366482 locally transmitted cases 0.7812 incubation periods 0.24012 red area designation 0.743783 Little River 0.353516 Little River area 0.32504 Florida Department 0.235235 Wynwood neighborhood 0.275123 Miami Beach area 0.624778	CLICK HERE