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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
956	Centers for Disease Control and Prevention	Html	en	Impact of Requiring Influenza Vaccination for Children inLicensed Child Care or Preschool Programs - Connecticut, 2012-13Influenza Season	Please note: An erratum has been published for this article. To view the erratum, please click here.	child care centers 0.403125 influenza vaccination coverage 0.550704 different influenza strains 0.458398 influenza-associated hospitalization 0.442719 influenza circulation 0.426224 national vaccination level 0.409377 seasonal influenza vaccination 0.546116 New York City 0.386049 children 0.554321 Connecticut influenza vaccination 0.535095 FluView catchment area 0.37887 New Haven County 0.436689 influenza vaccine 0.561122 influenza-associated hospitalization rate 0.395362 Congregate child care 0.380211 EIP sites 0.375968 influenza hospitalizations 0.433623 annual influenza vaccination 0.525735 vaccination data 0.394238 influenza-associated hospitalization rates 0.402428 Connecticut child care 0.384908 child care attendance 0.392968 licensed child care 0.984705 influenza subtype 0.437835	age group 0.374267 Emerging Infections Program 0.38617 influenza transmission 0.48178 influenza vaccination rate 0.519895 recent influenza seasons 0.456195 influenza hospitalization rate 0.466805 influenza vaccination requirement 0.559414 vaccination levels 0.414285 influenza exposure 0.430997 2012-13 influenza seasons 0.438214 child care programs 0.417951 child care program 0.403846 influenza season 0.687072 child care survey 0.398876 severe influenza-related illness 0.385327 child care settings 0.407026 influenza vaccination rates 0.525779 influenza vaccination 0.90235 preschool-aged children 0.387268 influenza complications 0.425142 EIP site 0.385528 influenza seasons 0.481828 influenza-associated hospitalizations 0.381451 high vaccination rates 0.406244	CLICK HERE
7300	Centers for Disease Control and Prevention	Html	en	Take Action to Prevent the Spread of Flu Between Pigs and People | Swine/Variant Influenza (Flu)	Take Action to Prevent the Spread of Flu Between People and Pigs - CDC	Animal Exhibits 0.490399 long-term health conditions 0.575278 influenza antiviral drugs 0.599287 health care provider 0.559479 swine flu viruses 0.783353 lung disease 0.49617 pigs 0.9208 pregnant women 0.499514 strollers 0.41953 Disease Control 0.500504 different settings 0.501105 contact 0.570266 immune systems 0.498963 personal protective equipment 0.583187 pig barn 0.511837 water 0.429482 human flu viruses 0.735547 exposure 0.43295 high risk 0.737572 soap 0.430324 flu symptoms 0.642712 neurodevelopmental conditions 0.501798 swine barns 0.547922 Centers 0.417403 infection 0.43348	similar items 0.497284 alcohol-based hand rub 0.575011 baby bottles 0.495827 H3N2v flu viruses 0.674597 pacifiers 0.425771 flu complications 0.674836 Prevention 0.417385 following actions 0.495927 CDC’s recommendations 0.488351 heart disease 0.497686 high risk factor 0.562761 close contact 0.50461 high risk factors 0.562127 protective actions 0.49629 illness 0.456594 pig areas 0.67206 Dr. Lyn Finelli 0.572909 protective measures 0.504466 protective clothing 0.504169 seasonal flu vaccine 0.642178 flu viruses 0.805622 people 0.580703 visit Stay 0.485954 mouth 0.437819	CLICK HERE
8897	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Community-Generated Recommendations Regarding the Urban Nutrition and Tobacco Environments: A Photo-Elicitation Study in Philadelphia - CDC	Overweight, obesity, and tobacco use are major preventable causes of disability, disease, and death. In 2010, 25% of Philadelphia adults smoked, and 66% were overweight or obese. To address these health threats, the Philadelphia Department of Public Health launched Get Healthy Philly...	different potential interventions 0.340037 potential interventions 0.359028 tobacco use interventions 0.366515 major health concerns 0.326493 Philadelphia Department 0.333827 multilevel interventions 0.336734 tobacco 0.698629 early participants 0.40525 youth participant 0.340343 Healthy Philly 0.406021 individual participants 0.40059 white male youth 0.360333 related health concerns 0.324804 Public health researchers 0.318448 Terry E. Johnson 0.3507 nutrition 0.429311 prevention strategies 0.328283 Lorraine T. Dean 0.347722 Recent tobacco control 0.337886 tobacco sales 0.337461 health threats 0.345847 adults 0.319345 negative health effects 0.397649 illegal tobacco sales 0.334794	African American men 0.338247 public health community 0.329058 lay epidemiologic perspectives 0.335688 tobacco environments 0.515345 Healthy Philly interventions 0.355783 health behavior 0.325008 public health professionals 0.322656 ecological model 0.740754 public health 0.493581 participants 0.99402 Elizabeth A. FitzGerald 0.34725 youth participants 0.475757 public health concerns 0.34378 health concerns 0.416093 health 0.581219 physical activity 0.800237 Carolyn C. Cannuscio 0.353787 tobacco interventions 0.366209 interventions 0.526626 Multiple participants 0.398622 Health Belief Model 0.334398 Public Health Service 0.321066 adult participants 0.534014 healthful foods 0.346177	CLICK HERE
10264	Centers for Disease Control and Prevention	Html	en	Information for Workers | Lightning	CDC provides lightning information and steps to protect yourself while working outside or engaging in outdoor recreational activities.	average 0.25313 list Skip 0.72381 United States 0.42455 page options Skip 0.942919 mold 0.252047 thunder 0.255266 insects 0.249259 navigation Skip 0.731772 disaster 0.244593 lightning strike injuries 0.791929 times 0.241753	Illnesses 0.252101 cleanup 0.258289 earth 0.241937 carbon monoxide poisoning 0.650553 environmental concerns 0.425608 warning 0.257512 consequences 0.256428 risk 0.239677 animals 0.237091 family 0.242511	CLICK HERE
11607	Centers for Disease Control and Prevention	Html	en	Recommendations for Breastfeeding/Infant Feeding in the Context of Ebola	null	Ebola haemorrhagic fever 0.437557 Infectious Diseases. 0.364498 Infection Control 0.337811 Dowell SF 0.333582 safe ways 0.333291 Ebola virus transmission 0.483364 case-by-case basis 0.338291 death overall3 0.334048 breastfeeding mother 0.394925 infant 0.362587 ill mother 0.349917 ebola virus 0.904023 Bausch DG 0.333891 Ebola Virus–Positive Mother 0.453754 lactating woman 0.337052 resource-limited settings 0.333563 Emerg Infect Dis. 0.358302 Obstetric Services 0.332207 Peacock G. Live 0.356259 acceptable substitute 0.335562 Infant Formula 0.344929 Jamieson DJ 0.329939 ebola virus disease 0.578641 body fluids 0.338346 best choice 0.336313	Vega M-A 0.333766 symptoms 0.311876 EVD 0.378192 different lactating women 0.359419 high risk 0.356235 Epub 0.314563 Towner JS 0.333555 Twin Babies 0.329777 Ebola virus infection 0.572981 United States 0.331971 infant care 0.350191 signs 0.31188 safe alternatives 0.36898 close contact 0.447147 decisions 0.312471 genetic material 0.366151 known risk 0.333827 World Health Organization. 0.356891 bodily fluids 0.332069 breast milk 0.610406 Donor breast milk 0.382551 et al 0.396149 breastfeeding status 0.375286 baby 0.333346	CLICK HERE
12321	Centers for Disease Control and Prevention	Html	en	Comprehensive Clinic Assessment Software Application - Vaccines	COCASA Home Page (Comprehensive Clinical Assessment Software Application) for Immunizations	adolescent coverage 0.350135 coverage assessment purposes 0.608227 provider clinic 0.373891 IIS data 0.371083 CoCASA 0.221129 individual immunization provider 0.85471 diagnostic childhood report 0.618051 AFIX 0.312662	invalid dose 0.474611 import capabilities 0.347237 data analysis capabilities 0.606231 Software Application 0.389939 different reports 0.325369 immunization coverage 0.697279 Comprehensive Clinic Assessment 0.716628	CLICK HERE
12887	Centers for Disease Control and Prevention	Html	en	Trucker Safety | 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.	Bus Crash Facts 0.408308 handheld cell 0.591628 company safety policies 0.423981 Mortality Weekly Report 0.407212 truck crash 0.399655 large-truck crashes 0.399073 truck drivers 0.962197 federal regulations 0.371197 vehicle safety matters 0.425517 large trucks 0.802156 employer safety programs 0.447798 text messaging 0.587197 passengers 0.41938 work 0.371469 seat belt laws 0.634043 Signs Issue details 0.407305 Carrier Safety Administration 0.420186 truck driver safety 0.45942 carrier safety inspectors 0.420582 primary enforcement seat 0.600077 seat belts 0.683125 motor carrier safety 0.514717 Vital Signs 0.446168 truck driver education 0.446941	speed limits 0.419434 driver education manuals 0.420706 unbelted truck drivers 0.495725 motor vehicle crash 0.431562 motor vehicle 0.4959 long-haul truck drivers 0.548458 large truck 0.543395 belt use requirements 0.404728 Coordinate enforcement measures 0.408236 large-truck driver 0.377721 trucker safety 0.476316 Motor Vehicle Safety 0.426995 bus drivers 0.386909 large-truck drivers 0.394483 Fatal crashes 0.398794 reliable vehicle 0.372723 distracted driving 0.423687 police officer 0.417759 trucking safety 0.373382 seat belt 0.954432 handheld cell phone 0.519179 Educate drivers 0.382701 enforcement seat belt 0.635463 motor vehicle crashes 0.477174	CLICK HERE
12984	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Listeriosis Associated with StoneFruit - United States, 2014	Brendan R. Jackson, MD1, Monique Salter, MPH2, Cheryl Tarr, PhD1, Amanda Conrad, MPH1,3, Emily Harvey4, Lisa Steinbock5, Amy Saupe, MPH6, Alida Sorenson, MPH7, Lee Katz, PhD1, Steven Stroika1, Kelly A. Jackson, MPH1, Heather Carleton, PhD1, Zuzana Kucerova, MD, PhD1, David Melka2, Errol Strain, PhD2, Mickey Parish, PhD2, Rajal K.	single nucleotide polymorphism 0.681525 stone fruit consumption 0.785671 Brendan R. Jackson 0.765801 human isolates 0.721666 WGS results 0.701987 Zuzana Kucerova 0.651885 pregnant women 0.703206 fresh stone fruits 0.703069 Zoonotic Infectious Diseases 0.67436 foodborne disease surveillance 0.682342 Listeria Initiative exposure 0.690843 packing company 0.658261 Kelly A. Jackson 0.691478 Amy Saupe 0.651106 Listeria monocytogenes 0.695386 stone fruit 0.953575 stone fruits 0.839501 organic nectarine consumption 0.687468 initial recall 0.669242 L. monocytogenes 0.829484 automated telephone calls 0.683217 Monique Salter 0.650788 PFGE patterns 0.680228 internal company testing 0.702303	two-enzyme pulsed-field gel 0.682951 Minnesota patient 0.656773 United States 0.650997 human listeriosis 0.66375 peaches 0.660177 Drug Administration 0.687322 South Carolina 0.734585 David Melka 0.650427 shopper card data 0.755617 Listeriosis Associated 0.682255 Alida Sorenson 0.652613 ready-to-eat fresh fruit 0.699678 recall 0.683468 possible L. monocytogenes 0.706381 food exposure interviews 0.680633 local health departments 0.685979 Massachusetts patient 0.659512 Illinois patient 0.654142 higher risk 0.670791 whole-genome multilocus sequence 0.679833 Rajal K. Mody 0.697779 CDC Listeria website 0.69717 Northampton Health Department 0.67901 national molecular subtyping 0.685583	CLICK HERE
13381	Centers for Disease Control and Prevention	Html	en	Opioid Overdose Prevention Programs Providing Naloxone toLaypersons - United States, 2014	Please note: An erratum has been published for this article. To view the erratum, please click here.	opioid drug overdose 0.423422 number 0.373936 organizations provided naloxone 0.410381 reduces overdose deaths 0.393158 prescription opioid analgesics 0.392876 family members 0.374914 heroin overdoses 0.361109 opioid overdose 0.498448 naloxone kit provision 0.372639 teaching laypersons 0.384571 community-based organizations 0.365062 persons 0.404025 health care facilities 0.39735 opioid antagonist naloxone 0.420002 local opioid overdose 0.436609 survey 0.365841 Naloxone Network 0.38375 Naloxone Network members 0.371071 opioid overdose prevention 0.489663 overdose prevention services 0.412514 intranasal naloxone 0.402471 local sites 0.40836 overdose reversals 0.612835 potential overdose bystanders 0.39278	substance use treatment 0.373813 Veterans Administration health 0.39316 naloxone distribution programs 0.372229 international health organizations 0.366045 naloxone vials 0.397766 overdose death rates 0.392554 opioid overdose training 0.440588 Opioid Safety 0.399486 Law enforcement organizations 0.370198 health departments 0.379993 health care 0.400092 public health 0.370784 community-based naloxone program 0.370983 drug overdose deaths 0.491517 health care systems 0.394257 Harm Reduction Coalition 0.430891 injectable naloxone 0.366412 statewide naloxone programs 0.380239 service providers 0.411355 organizations 0.58741 Administration health care 0.393005 naloxone kits 0.943473 laypersons 0.602237 opioid overdose mortality 0.440133	CLICK HERE
15320	Centers for Disease Control and Prevention	Html	en	Suicide Rates by Occupational Group - 17 States, 2012 |MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	Violent Death Reporting 0.657646 national Standard Occupational 0.482243 data 0.485631 Suicide prevention activities 0.665956 Census occupation code 0.533288 mental health 0.522145 major occupational groups 0.489718 library occupational group 0.49162 highest suicide rates 0.649563 suicide deaths 0.551117 SOC codes 0.548897 highest rate 0.534167 mental health services 0.505759 potential suicide prevention 0.542442 Workplace Suicide Prevention 0.53717 suicide 0.899123 usual occupation 0.491576 suicide prevention strategies 0.678592 forestry occupational group 0.507441 SOC major groups 0.453005 different occupational groups 0.492878 National Suicide Prevention 0.549431 persons 0.52483 protective service occupations 0.62821 suicides 0.486777	Census occupation codes 0.485274 NVDRS Occupation Title 0.511021 suicide prevention 0.88783 occupation text fields 0.580934 United States 0.492932 occupation fields 0.450024 service occupational group 0.511697 higher suicide risk 0.526578 SOC code 0.483535 Current Population Survey 0.488344 U.S. Census occupation 0.587533 suicide prevention training 0.542317 occupation codes 0.541997 law enforcement 0.481319 occupational group 0.907332 Occupation Computerized Coding 0.492224 suicide prevention efforts 0.574121 occupational groups 0.974797 higher suicide rates 0.629476 Evidence-based suicide prevention 0.536638 occupation classification 0.463896 SOC occupational groups 0.525829 suicide decedent 0.526106 National Violent Death 0.652397	CLICK HERE