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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
4481	Centers for Disease Control and Prevention	Html	en	CDC A-Z Index - Z	CDC A-Z Index	MPEG 0.741242 site 0.541063 PDF 0.544429	PPT 0.837268 DOC 0.733754	CLICK HERE
4652	Centers for Disease Control and Prevention	Html	en	Measuring health behaviors in populations	null	health insurance providers 0.438009 data 0.818986 Risk Factor Surveillance 0.504279 National Health Nutrition 0.467469 health risk behaviors 0.70702 population health behaviors 0.559648 BRFSS data 0.445671 behavioral risk 0.480346 health behaviors 0.935319 sample size 0.594403 improved health outcomes 0.449762 health care access 0.448224 behavioral risk factors 0.463622 national health 0.506111 area surveillance data 0.476059 state health agencies 0.454446 data quality 0.449151 public health activities 0.448485 clinical preventive health 0.44404 Health Interview Survey 0.46645 data collection systems 0.497908 health care settings 0.524794 Behavioral Risk Factor 0.465122 telephone surveys 0.551361 Wisconsin County Health 0.45713	United States 0.671358 surveys 0.677118 sexual behaviors 0.464327 Multimode data collection 0.442213 critical health issues 0.445584 national health objectives 0.462523 surveillance systems 0.679409 behavioral surveillance surveys 0.455082 public health professionals 0.448148 physical examination data 0.447604 public health 0.615359 health care 0.535111 priority health-risk behaviors 0.509443 survey data 0.443539 public health need 0.453663 state-specific data 0.443735 data collection 0.658374 state health departments 0.452323 health surveys 0.457623 local level 0.597945 public health efforts 0.446025 health behavior data 0.50951 Public health campaigns 0.47173 Health Care Surveys 0.487687	CLICK HERE
6485	Centers for Disease Control and Prevention	Html	en	Implementing the MOVE! weight-management program in the Veterans Health Administration, 2007-2010: a qualitative study	One-third of US veterans receiving care at Veterans Health Administration (VHA) medical facilities are obese and, therefore, at higher risk for developing multiple chronic diseases.	resource availability 0.691782 program 0.888295 senior management support 0.661835 physician champion 0.740844 new program participants 0.634858 organizational factors 0.677993 service line chiefs 0.664568 facility chief nurse 0.65394 innovation champion 0.714888 evidence-based weight-management program 0.72913 interview participants 0.884816 medical center program 0.64103 holistic case study 0.638986 case study design 0.642816 Qualitative data analysis 0.642498 senior managers 0.679688 primary care physicians 0.829389 case study 0.707047 health care facilities 0.679466 different VHA facilities 0.641143 primary care service-line 0.64296 program implementation 0.72786 obesity screening rates 0.810744 innovation champions 0.64698 management support 0.7172	innovation implementation fosters 0.672981 service-line chief support 0.639389 case study research 0.665436 multidisciplinary weight-management program 0.681552 VHA medical facility 0.663766 health care 0.698156 VHA primary care 0.650866 innovation 0.8316 organizational readiness 0.662825 program activity 0.654868 weight-management program 0.768434 multidisciplinary team 0.689375 implementation 0.941356 VHA policy 0.698987 physical activity 0.644247 national program officials 0.67334 innovation implementation 0.698704 treatment options 0.680348 VHA facilities 0.729625 primary care 0.995444 Veterans Health Administration 0.696845 VHA medical facilities 0.838252 facilities 0.934053 facility 0.886055	CLICK HERE
8670	Centers for Disease Control and Prevention	Html	en	Cancer Prevention Among Youth	CDC's Division of Cancer Prevention and Control sponsored a supplemental issue of the Journal of Adolescent Health about ways to prevent cancer, with a focus on youth.	high school 0.48101 Biro FM 0.446708 Malarcher A. Pro-tobacco 0.479168 Journal 0.543743 intentional tanning 0.440106 -related cancer 0.459882 Southwell B. 0.440312 Deardorff J. Identifying 0.482109 Mahabir S. Association 0.48253 adolescent risk factors 0.574662 Rodriguez JL 0.497118 Dube SR 0.443652 Adolescent Health 0.929643 benign breast disease 0.47635 cervical cancer 0.455657 Arrazola RA 0.441641 Watson M. Correlates 0.478195 human papillomavirus 0.508114 adolescence 0.446329 Thomas TL 0.440953 human papillomavirus vaccine 0.483663 5S 0.685859 multi-method pilot study 0.475223 White MC 0.490503 cancer prevention 0.704455	HPV vaccination 0.442543 social changes 0.44921 United States 0.441033 Edelstein ZR 0.445412 Fried LP 0.441955 Yang GJ 0.440155 Peskin MF 0.441425 Jackson JM 0.440057 Bushkin-Bedient S. Exposure 0.478984 different professions 0.448419 Adolescent risk-taking 0.538416 adolescent indoor tanning 0.559115 breast cancer 0.457946 supplemental issue 0.448874 unique opportunities 0.449306 Applegate KE 0.441052 systematic review 0.440178 certain exposures 0.447122 Holman DM 0.4949 cancer risk 0.461601 M. An opportunity 0.440578 Cost NG 0.439942 high school girls 0.473143 Santelli JS 0.446163	CLICK HERE
8685	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Acute Pesticide-Related IllnessResulting from Occupational Exposure to Acrolein - Washington andCalifornia, 1993-2009	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.	mmwrq@cdc.gov. 0.702009 moderate phlegm production 0.767262 Human Services 0.753852 assistive technology 0.695664 Washington State Dept 0.765931 California Dept 0.736561 U.S. Department 0.752889 MMWR HTML versions 0.747895 impaired water flow 0.773963 Geoffrey M. Calvert 0.857713 electronic PDF version 0.748214 eye irritation 0.703677 pesticide application equipment 0.803453 skin irritation 0.704162 additional cases 0.835976 personal protective equipment 0.747455 right-sided facial droop 0.771351 epinephrine administration 0.69564 Washington State Department 0.898566 Pesticide Regulation 0.7914 irritation district 0.709115 aquatic pesticide applicator 0.805634 grand mal seizure 0.758383 original paper copy 0.741937	thermal skin sensitivity 0.756431 acrolein tank 0.707659 lateral medullary syndrome 0.762031 acrolein-related illness 0.948135 irrigation canal 0.725154 pesticide applicators 0.810292 irrigation district 0.801642 western United States 0.779581 California Department 0.707213 ongoing medical conditions 0.752202 facial droop 0.785047 United States 0.78019 extremely irritating vapor 0.749725 original MMWR paper 0.754242 U.S. Government Printing 0.74901 acute acrolein-related illness 0.920535 irrigation districts 0.780989 label-required respiratory protection 0.759913 ventricular fibrillation 0.780322 subject line 0.697029 low severity illness 0.773212 irrigation canals 0.799233 acrolein-induced catecholamine release 0.752378 right facial droop 0.77423	CLICK HERE
10581	Centers for Disease Control and Prevention	Html	en	Geographic Distribution | Chikungunya virus | CDC	Information on Chikungunya virus. Provided by the U.S. Centers for Disease Control and Prevention.	chikungunya virus outbreaks 0.911161 mosquitoes 0.369213 area 0.340771 Caribbean countries 0.529887 Americas 0.426393 cases 0.338871 United States 0.519116 Health website 0.50374 Europe 0.345797 Africa 0.345944 Click 0.34569	Pan American Health 0.707311 CDC’s Traveler 0.54331 people 0.340365 local transmission 0.820206 Updated data 0.521276 territories 0.43567 Asia 0.34587 current outbreaks 0.564344 Pacific Oceans 0.579546 information 0.366993	CLICK HERE
10865	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Impact of Data Editing Methods on Estimates of Smoking Prevalence, Global Youth Tobacco Survey, 2007–2009 - CDC	Accuracy of self-reported data may be improved by data editing, a mechanism to produce accurate information by excluding inconsistent data based on a set number of predetermined decision rules. We compared data editing methods in the Global Youth Tobacco Survey (GYTS) with other editing approaches and evaluated the effects of these on smoking prevalence estimates.	logic checks 0.538825 Data Edit ApproachDescription 0.453315 data 0.903478 inconsistent responses 0.731199 global approach 0.567732 GYTS data editing 0.524597 questions 0.453202 relative SE 0.479013 PreponderanceCurrent cigarette smoking 0.461479 weighted point estimates 0.532833 Disease Control 0.482697 Youth Tobacco Survey 0.796816 GYTS data 0.728056 preponderance approach 0.740352 GYTS data edits 0.625406 higher estimates 0.603761 current cigarette smoking 0.461489 estimates 0.824971 Global Tobacco Control 0.51339 data editing approaches 0.613601 cross-study comparability 0.526908 Herbst K. Data 0.4625 similar estimates 0.544107 data editing approach 0.569839 cigarette use status 0.471339	current cigarette 0.520451 preponderance approaches 0.484919 subsequent inconsistent responses 0.461771 2-stage cluster sample 0.574311 Self-reported cigarette smoking 0.489861 cigarette smoking status 0.796421 gatekeeper approaches 0.590335 decision rules 0.511736 sex groups 0.456627 data editing method 0.60671 cigarette smoking 0.808719 GYTS 0.76104 Saudi Arabia 0.728458 self-administered school-based survey 0.452659 smoking prevalence estimates 0.573688 Tobacco Control Branch 0.514881 data editing methods 0.692673 Global Youth Tobacco 0.65752 inconsistent data 0.623082 GYTS estimates 0.5431 point estimates 0.623501 Chronic Disease Prevention 0.516448 overall estimates 0.464747 data editing 0.874155	CLICK HERE
12428	Centers for Disease Control and Prevention	Html	en	Measles | Transmission | CDC	null	list Skip 0.489815 throat mucus 0.385496 infected surface 0.477636 true story 0.31772 page options Skip 0.6986 animal species 0.309477	navigation Skip 0.49026 infected person 0.71697 highly contagious virus 0.59354 Infected people 0.449487 measles 0.950635 measles virus 0.815531	CLICK HERE
12771	Centers for Disease Control and Prevention	Html	en	Q&A’s about the Transport of Pediatric Patients (< 18years of age) Under Investigation or with Confirmed Ebola | EbolaHemorrhagic Fever | CDC	null	CDC’s Waste 0.623798 group best-practice recommendations 0.585995 child restraint 0.569156 car seat 0.836692 durable medical equipment 0.802274 hospital-based transport teams 0.69977 PPE 0.594361 pediatric care 0.573335 agency’s car 0.523824 isolation transport units 0.670099 pediatric PUI 0.721566 pediatric transport 0.910713 appropriate CDC guidance 0.601945 waste management guidelines 0.791863 pediatric patients 0.689674 emergency medical services 0.793669 EMS agency 0.670221 Medical transport agencies 0.691203 ill child 0.539961 individual emergency 0.528715 standard ambulance cot 0.598345 medical equipment suppliers 0.650822 emergency ground ambulances 0.591916 Traffic Safety Administration 0.578811	medical services providers 0.647673 EMS transfer 0.572233 emergency medical technicians 0.649367 responder agencies 0.523762 personal protective equipment 0.784734 legal guardian 0.615058 law enforcement agencies 0.651939 safe pediatric transport 0.751373 EMS agencies 0.770674 EMS provider 0.563452 body fluids 0.678782 EMS units 0.572323 safe transport 0.640874 EMS systems 0.599825 Public Safety Answering 0.624429 transport vehicle 0.562452 decontamination team 0.538756 service agencies 0.548261 pediatric isolation transport 0.895478 advanced life support 0.598222 alternative adult caregiver 0.667556 equipment decontamination plan 0.668355 child 0.712897	CLICK HERE
15963	Centers for Disease Control and Prevention	Html	en	Zika Virus Infection and Microcephaly	Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention.	Zika Virus Infection 0.969937		CLICK HERE