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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
917	Centers for Disease Control and Prevention	Html	en	Declines in Student Obesity Prevalence Associated with aPrevention Initiative - King County, Washington, 2012	Eli Kern, MPH1, Nadine L. Chan, PhD1, David W. Fleming, MD1, James W.	reduced price lunch 0.378563 obesity rates 0.4329 youth obesity 0.68081 CPPW schools 0.352296 biennially administered Washington 0.358484 baseline obesity prevalence 0.466802 significant difference 0.347863 low-income school districts 0.435779 school districts obesity 0.440892 non-CPPW students 0.360987 Youth Risk Behavior 0.353432 obesity prevention 0.514594 obesity prevalence 0.896697 school districts 0.557129 school-based CPPW interventions 0.362298 CPPW students 0.356014 documents recent trends 0.350965 robust obesity prevention 0.459832 healthy eating 0.358698 Washington State Department 0.396554 obesity prevention initiatives 0.473804 youth obesity prevalence 0.619835 King County students 0.399036 baseline prevalence 0.357293 non-CPPW school districts 0.439057	Washington State 0.430846 population-wide obesity trends 0.422697 statistically significant decrease 0.471288 school-based policy 0.347335 baseТЌline obesity prevalence 0.448926 County youth obesity 0.468922 logistic regression analysis 0.383515 obesity trends 0.480287 State Healthy Youth 0.386542 obesity prevention initiative 0.446918 obesity prevention strategy 0.419945 non-CPPW districts 0.370309 statistically significant decline 0.396403 rest 0.364193 Washington State Healthy 0.387993 CPPW school district 0.362667 CPPW initiative 0.351325 CPPW districts 0.350979 Healthy Youth Survey 0.387275 school cafeteria staff 0.348285 self-reported youth obesity 0.47037 CPPW school districts 0.4618 Survey response rates 0.347498 King County 0.969447	CLICK HERE
6488	Centers for Disease Control and Prevention	Html	en	Promoting active communities in a culture of distracted driving	Efforts to improve health outcomes through behavioral modification are often complicated by external factors that may thwart success and introduce potential harm. Factors associated with traffic safety present a contemporary challenge to efforts to promote physical activity. One example is the difficulty of encouraging pedestrian-based physical activity because of the growing prevalence of distracted driving.	pedestrian-based physical activity 0.60409 communications technology sector 0.514475 active communities 0.531982 Texas A&M University 0.53029 environmental modifications 0.528527 monthly text messages 0.529517 Matthew Lee Smith 0.512769 Rural Public Health 0.639553 reduced collision claims 0.522761 commercial automotive industry 0.519177 portable technology device 0.527996 College Station 0.560722 Mark E. Benden 0.521829 Science Center School 0.617911 health outcomes 0.515245 bicycle lanes 0.550293 Traffic Safety Association 0.552938 active transportation 0.551606 roadway design accounts 0.546953 Healthy People 0.525273 markedly increased injuries 0.520261 public health 0.732922 street-scale environmental policies 0.543782 distracted driving 0.628849	overall roadway safety 0.554407 bicyclists 0.547642 mobile communication technology 0.532008 automobile-pedestrian interactions 0.530585 pedestrians 0.620233 street design features 0.537398 A&M Health Science 0.63285 road users 0.545912 Texas A&M Health 0.632675 traffic safety 0.617277 physical activity 0.995746 promotes physical activity 0.58713 public health movement 0.573079 Complete Streets initiative 0.655312 proper technological solutions 0.512361 Health Science Center 0.63436 hand-held cellular telephone 0.533732 Public Health Service 0.566616 physical activity opportunities 0.586768 unsafe street environments 0.532751 independently rising growth 0.518548 specifies active transportation 0.547873 modifiable public infrastructures 0.56629	CLICK HERE
6603	Centers for Disease Control and Prevention	Html	en	Prevalence and risk of homelessness among US veterans.	Understanding the prevalence of and risk for homelessness among veterans is prerequisite to preventing and ending homelessness among this population. Homeless veterans are at higher risk for chronic disease; understanding the dynamics of homelessness among veterans can contribute to our understanding of their health needs.	additional homeless people 0.411016 data 0.516153 homeless assessment report 0.440857 homeless people 0.434811 homeless status 0.416076 Veterans Affairs records 0.426861 black male veterans 0.411157 homeless services 0.417295 HMIS data 0.503831 Homelessness Among Veterans 0.473099 homeless veterans 0.563221 risk ratios 0.51341 homeless populations 0.438997 poverty populations 0.409185 poverty 0.541436 service-using homeless population 0.444353 End Homelessness 0.412655 black female veterans 0.410051 male veterans 0.477297 highest risk 0.415325 CoC 0.408096 black race 0.424472 Homelessness status 0.445474 homelessness services 0.555039 federal poverty threshold 0.492806	women 0.42905 veterans 0.803558 study 0.407969 Urban Development 0.415526 United States 0.45043 age group 0.486551 National Center 0.406514 54-year-old age group 0.485448 general population 0.531321 Annual Homelessness Assessment 0.436098 poverty population 0.505363 female veterans 0.43495 American Community Survey 0.543893 New York 0.492006 homelessness series 0.412789 veteran status 0.957401 Homeless Management Information 0.51699 ACS 0.443507 annual homeless assessment 0.440861 Veterans Affairs 0.498674 homeless population 0.713158 veteran homelessness 0.4435 risk 0.54657 ACS data 0.421639	CLICK HERE
7992	Centers for Disease Control and Prevention	Html	es	Preventing Chronic Disease - CDC: Volume 10, 2013: 12_0088	Volumen 10 — el 10 de enero de 2013.	Enfoques Alimentarios 0.956592 Dietary Approaches 0.61862 Leng I 0.622559 mm hg 0.591024 Foy CG 0.63017 Hunter JC 0.590463 largo plazo 0.52644	Quandt SA 0.629556 Vitolins MZ 0.625988 Whitt-Glover MC 0.593949 pequeña muestra 0.518417 estudio piloto 0.812556 bajos recursos 0.813051 Stop Hypertension 0.625834	CLICK HERE
8269	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Outbreak of Infections Caused byShigella sonnei with Decreased Susceptibility to Azithromycin - LosAngeles, California, 2012	Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov.	underwent pulsed-field gel 0.668515 mmwrq@cdc.gov. 0.607105 multidrug-resistant Shigella 0.684218 Los Angeles County 0.703164 stool specimens 0.611373 Human Services 0.662652 outbreak PFGE pattern 0.706336 club members 0.615789 public health authorities 0.675853 U.S. Department 0.659746 MMWR HTML versions 0.655572 Anna Bowen 0.652322 electronic PDF version 0.656267 parenteral antimicrobial medications 0.661802 Zoonotic Infectious Diseases 0.65896 Environmental Health 0.621897 general U.S. population 0.662857 Acute Communicable Disease 0.844173 National Antimicrobial Resistance 0.674792 original paper copy 0.649779 Infectious Diseases 0.661777 azithromycin susceptibility testing 0.772793 Shigella strains 0.689895 Thirty-nine cases 0.606971	additional isolates 0.661807 United States 0.778239 original MMWR paper 0.662175 U.S. Government Printing 0.660107 Elk Grove Village 0.648263 Disease Control Unit 0.842674 azithromycin treatment failure 0.754301 Shigella species 0.683065 elevated azithromycin minimum 0.763924 Shigella infections 0.692875 plasmid-encoded macrolide resistance 0.673593 bridge club 0.924571 indistinguishable patterns 0.609792 public health 0.773783 Shigella sonnei 0.779029 Antimicrob Agents Chemother 0.655335 stool specimen 0.612132 shigellosis patients 0.622795 azithromycin MICs 0.707932 Communicable Disease Control 0.849374 Maria Sjolund Karlsson 0.661666 private bridge club 0.717821 health facility 0.612799 Los Angeles 0.848294	CLICK HERE
9132	Centers for Disease Control and Prevention	Html	en	Asthma - State Data Profiles	National Asthma Control Program State Profiles	CDC National Asthma 0.704331 Technical Notes 0.244398 Puerto Rico 0.274055 State Contacts 0.253009 visit https://www.cdc.gov/asthma/nacp.htm 0.266751 asthma patient education 0.651413 state partners 0.253563 Select state profiles 0.380136	previous funding cycle 0.433435 current information 0.2607 U.S. Statistical data 0.383744 Asthma Control Program 0.924017 Asthma State Profiles 0.857316 Program grantee states 0.419611 National Asthma Control 0.924709 asthma prevalence 0.550177	CLICK HERE
11519	Centers for Disease Control and Prevention	Html	en	NCIRD | DBD Bulletin Fall 2011 | Meetings and Epi-AIDs | CDC	Division of Bacterial Diseases Bulletin Fall	pneumococcal conjugate vaccines 0.505724 infant pertussis 0.345698 Respiratory Infections 0.343875 vaccine schedules 0.363197 Smart Program 0.301048 Laboratory diagnostics 0.302447 Invasive group 0.317077 Respiratory Surveillance sites 0.406749 Severe Pertussis 0.365133 streptococcal disease 0.366108 Infectious Diseases Society 0.36329 pneumococcal conjugate vaccine 0.507283 Southern Africa meeting 0.38999 historical reasons 0.303972 49th Annual Meeting 0.377416 Asian countries 0.306518 Chris Van Beneden 0.980895 meningococcal disease 0.346227 acute care hospital 0.353494 invasive pneumococcal infections 0.460966 streptococcal infections 0.33724 South Africa 0.366314 Infectious Disease Societies 0.410856 Vaccines Surveillance Meeting 0.406154 Faso meningitis surveillance 0.384173	United States 0.399195 invasive disease 0.356681 invasive pneumococcal disease 0.440958 International Emerging Infections 0.403921 U.S. overview 0.367621 Legionellosis outbreak 0.30905 disease outbreak 0.401314 Hib disease 0.362802 Tom Clark 0.380256 streptococcal strain 0.324113 DBD/RDB 0.351229 Meningococcal conjugate vaccine 0.498257 Antimicrobial Agents 0.299476 National Pertussis Workshop 0.452298 Bob Pinner 0.3033 conjugate vaccine 0.529271 term care facility 0.363725 XVIII Lancefield International 0.394725 International Symposium 0.395393 California pertussis vaccine 0.484464 Vaccine efficacy 0.36319 Fabiana Pimenta 0.429026 Hubei Province 0.306002 universal vaccine introduction 0.465866	CLICK HERE
13704	Centers for Disease Control and Prevention	Html	en	Ebola Virus Disease in Health Care Workers - Guinea,2014	Please note: An erratum has been published for this article. To view the erratum, please click here.	total Ebola cases 0.422642 Ebola treatment unit 0.415797 Ebola infections 0.693026 symptom onset 0.236618 comprehensive infection prevention 0.208509 Ebola case notifications 0.406789 Ebola infection 0.770393 HCW patients 0.202245 Ebola cases 0.689166 Ebola outbreak 0.36162 continuous infection prevention 0.205754 probable Ebola infections 0.43542 non-HCW Ebola patients 0.404168 intense Ebola transmission 0.384213 Ebola case investigation 0.38076 HCWs 0.464165 Guinea Ebola Response 0.41884 HCW infections 0.222586	health care 0.309707 Ebola surveillance purposes 0.368426 inadequate infection control 0.229718 health care workforce 0.226901 surveillance data 0.20096 probable Ebola cases 0.593477 specific HCW groups 0.217596 Ebola exposures 0.478743 infection prevention 0.313776 HCW denominators 0.208871 HCW case counts 0.230693 potential Ebola exposures 0.439391 HCW risks factors 0.214373 HCW cases 0.252316 infection control training 0.20711 Ebola patients 0.439562 Guinea MOH 0.24833 Ebola 0.927307	CLICK HERE
14317	Centers for Disease Control and Prevention	Image	null	How Potassium Iodide (KI) Works| Infographic	null			CLICK HERE
15628	Centers for Disease Control and Prevention	Html	en	US States' Childhood Obesity Surveillance Practices andRecommendations for Improving Them, 2014-2015	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.	BMI surveillance programs 0.44805 school-based BMI measurement 0.46716 BMI surveillance program 0.456058 conduct BMI surveillance 0.448621 childhood obesity epidemic 0.431021 Pediatric Nutrition Surveillance 0.32893 childhood obesity interventions 0.324886 BMI surveillance laws 0.457452 high BMI 0.34092 public health surveillance 0.400308 school-based BMI surveillance 0.468195 obesity surveillance practices 0.364933 state surveillance 0.365614 BMI data collection 0.391418 body mass index 0.396834 state BMI measurement 0.39291 statewide school-based BMI 0.377459 population-level BMI 0.338517 child health surveillance 0.359794 BMI records 0.341877 BMI surveillance systems 0.532169 child BMI measurement 0.376167 childhood obesity surveillance 0.429269 controversial school-based BMI 0.389315 representative child BMI 0.372487	state surveillance legislation 0.349082 school-based BMI 0.49457 child bmi surveillance 0.922319 state-level child BMI 0.434585 states 0.438826 exemplary surveillance programs 0.322696 BMI screening programs 0.403881 BMI surveillance practices 0.512871 EHR-based child BMI 0.41922 child BMI data 0.613188 public health 0.530264 surveillance purposes 0.322096 state BMI surveillance 0.456109 BMI surveillance 0.949965 BMI measurement program 0.409462 school-based BMI screening 0.407749 states operating surveillance 0.342898 BMI surveillance data 0.527044 childhood obesity 0.611718 weight surveillance data 0.387939 Risk Behavior Surveillance 0.329241 cost-efficient surveillance approach 0.318093 BMI data 0.618271 local child BMI 0.374222	CLICK HERE