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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
543	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Community Size as a Factor in Health Partnerships in Community Parks and Recreation, 2007 - CDC	Although partnerships between park and recreation agencies and health agencies are prevalent, little research has examined partnership characteristics and effectiveness among communities of different sizes. The objective of this study was to determine whether park and recreation leaders’ perceptions of partnership characteristics, effectiveness, and outcomes vary by community size.	partnership effectiveness items 0.390861 public health issues 0.380894 recreation agencies 0.557441 significantly fewer partnerships 0.42517 agencies given health 0.395214 partnership decision making 0.416019 mission statement 0.408318 nonprofit health promotion 0.514421 senior services 0.41266 5-point Likert-type scale 0.428157 effective partnerships 0.426177 small rural communities 0.430238 rural areas 0.389848 large communities 0.605919 Laura L. Payne 0.393695 partnership practices 0.419199 health insurance companies 0.415123 health promotion agencies 0.517489 health partnership decision 0.437996 additional resources 0.424013 medium communities 0.491153 formal partnerships 0.398878 decision making 0.45613 community parks 0.394661 public health agencies 0.468343	partnership outcomes 0.396651 community health concerns 0.392722 partnership characteristics 0.403597 interagency health partnerships 0.451337 inclusive decision making 0.381643 partnerships 0.773001 different health/wellness partnerships 0.419588 larger communities 0.393161 Interorganizational partnerships 0.401711 agency partnership practices 0.383553 public health 0.49754 park 0.421456 National Recreation 0.38666 Pennsylvania State University 0.389397 size shapes partnership 0.396303 transportation agencies 0.385369 community size 0.922679 partnership effectiveness 0.444263 community park 0.38596 Geoffrey C. Godbey 0.397304 organizations 0.400541 small communities 0.530692 health partnerships 0.738089 smaller communities 0.408423	CLICK HERE
1180	Centers for Disease Control and Prevention	Html	en	Smokeless Tobacco Use Among Working Adults - United States,2005 and 2010	Jacek M. Mazurek, MD1, Girija Syamlal, MPH1, Brian A. King, PhD2, Robert M.	increased tobacco prices 0.495625 employer-sponsored health insurance 0.44036 U.S. civilian population 0.438951 tobacco-free workplace policies 0.439206 complex sample design 0.438745 National Health Interview 0.449849 randomly selected adult 0.439784 high school education 0.508599 combustible tobacco 0.48126 reliable estimates 0.45882 self-reported smokeless tobacco 0.554815 tobacco control programs 0.541239 current cigarette smokers 0.47548 Current smokeless tobacco 0.609662 tobacco use prevalence 0.503026 groups.§ Current cigarette 0.450395 dissolvable tobacco 0.482941 current cigarette smoking 0.514929 comprehensive tobacco control 0.510863 comprehensive state tobacco 0.496445 smokeless tobacco marketing 0.558298 certain smokeless tobacco 0.549762 Jacek M. Mazurek 0.480865 survey response rates 0.439263 smokeless tobacco promotes 0.556378	cigarette smoking status 0.449323 Tobacco industry 0.484394 workplace-based tobacco cessation 0.50106 adults 0.453218 smokeless tobacco users 0.589688 novel smokeless tobacco 0.55855 industry groups 0.440295 dual users 0.455114 cigarette smoking cessation 0.453842 cigarette smoking 0.542961 occupation groups 0.441674 Respiratory Disease Studies 0.461788 non-Hispanic whites 0.463497 Brian A. King 0.443799 tobacco use information 0.479919 response rates 0.440691 cigarette smoking prevalence 0.495491 cigarette smokers 0.483498 smokeless tobacco products 0.588935 Chronic Disease Prevention 0.461193 smokeless tobacco 0.938669 employee health insurance 0.445248 statistically significant change 0.441801 effective employer interventions 0.439926	CLICK HERE
6404	Centers for Disease Control and Prevention	Html	en	National Diabetes Month - November 2011	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. 0.556902 CDC 0.623044 Human Services 0.756231 control programs 0.546142 assistive technology 0.558813 Fowler SE 0.531766 type 0.537739 Engl J Med 0.54924 MMWR HTML versions 0.640434 U.S. Department 0.622474 Native Diabetes Wellness 0.903234 private partners 0.54255 National Diabetes Prevention 0.925594 fact sheet 0.5366 electronic PDF version 0.629816 Contact GPO 0.553548 National Diabetes 0.931955 weight loss 0.543826 yearly influenza vaccine 0.646165 commercial sources 0.531632 cooperative agreements 0.536754 current prices 0.528638 national estimates 0.542594 diabetes control 0.791157	original paper copy 0.635366 Knowler WC 0.556918 new cases 0.542193 general information 0.539698 United States 0.676321 U.S. Government Printing 0.641992 original MMWR paper 0.636375 kidney failure 0.537489 nontraumatic lower-limb amputations 0.679132 MMWR readers 0.537339 character translation 0.525945 territorial diabetes prevention 0.924304 Alaska Native communities 0.656711 CDC. National 0.544263 format errors 0.525489 subject line 0.555907 evidence-based lifestyle interventions 0.652921 typeset documents 0.531994 trade names 0.531718 official text 0.524584 physical activity 0.676766 non-CDC sites 0.530403 traditional local foods 0.65641 et al 0.528805	CLICK HERE
6541	Centers for Disease Control and Prevention	Html	en	Working to Protect Against the Dangers of Dengue	CDC Works For You 24/7 Protecting People - Working to Protect Against the Dangers of Dengue - Dengue, a painful and sometimes deadly viral disease transmitted by mosquitoes, threatens more than 3.5 billion people worldwide. Dengue is endemic in at least 100 countries in Southeast Asia, the Pacific Islands, the Caribbean, Central America, South America, and parts of Africa. As many as 100 million people become infected yearly, and nearly 500,000, mostly children, develop the potentially deadly dengue hemorrhagic fever.	South America 0.575962 Central America 0.576208 Puerto Rico 0.571512 increasingly critical threat 0.731864 Large numbers 0.558335 United States 0.675047 changes 0.430314 example 0.429296 Republic 0.428966 Southeast Asia 0.584383 Marshall Islands 0.556528 children 0.431797 potentially deadly dengue 0.962387 public health worldwide 0.711949 locally acquired dengue 0.900054 possibility 0.433328 new problem 0.575984 mosquitoes 0.504308	cases 0.45354 hemorrhagic fever 0.596344 Pacific Islands 0.5767 epidemic 0.436659 Africa 0.432416 urban areas 0.564329 countries 0.432734 deadly viral disease 0.784938 Florida 0.429194 people 0.467859 travelers 0.432084 vectors 0.438516 epidemics 0.506723 dengue-endemic areas 0.557858 parts 0.462175 dengue viruses 0.750256 Caribbean 0.430544	CLICK HERE
8916	Centers for Disease Control and Prevention	Html	en	Vaccine Information Statement: Chickenpox - Vaccines - CDC	Chickenpox Vaccine Information Statement	Compensation Program 0.351848 blood products 0.355103 individual vaccines 0.366195 Page 0.392412 National Vaccine Injury 0.499549 severe skin infection 0.431303 nearest hospital 0.352116 severe allergic reaction 0.570558 Mild rash 0.373353 fast heartbeat 0.352919 chickenpox vaccine 0.983305 chickenpox vaccination 0.53644 chickenpox blisters 0.582459 severe brain reactions 0.410445 Vaccine Adverse Event 0.491699 Mild problems 0.362256 brain damage 0.360477 behavior changes 0.352611 varicella vaccines 0.363893 VAERS website 0.360718 life-threatening allergic reaction 0.420235 dose 0.408991 Pregnant women 0.354224 common childhood disease 0.414837	person 0.408155 previous dose 0.37756 difficulty breathing 0.350449 higher rates 0.351705 United States 0.411585 painful rash 0.380294 fever 0.37824 Severe problems 0.370676 medical advice 0.353925 fewer blisters 0.364021 MMRV vaccine 0.453417 state health department 0.396284 Current Edition Date 0.419214 young infants 0.36599 chickenpox virus 0.578975 MMR vaccines 0.370204 severe allergic reactions 0.426292 people 0.447389 certain vaccines 0.359437 doctor 0.371462 federal program 0.351805 chickenpox disease 0.541772 antibiotic neomycin 0.360483 Moderate problems 0.357296	CLICK HERE
9010	Centers for Disease Control and Prevention	Video	en	Director's Briefing: Talk to Your Doc About Quitting Smoking	In this Director's Briefing video, CDC Director Dr. Tom Frieden talks about how two-thirds of tobacco users want to quit, but fewer than one in ten succeed each year; however, advice from doctors can double or triple the odds that someone will quit for good. Doctors, pharmacists, physician assistants, nurses, and all healthcare providers need to play a critical role in helping tobacco users quit. For more information on CDC's Tips from Former Smokers campaign 2013, visit www.cdc.gov/tips. 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://streaming.cdc.gov/vod.php?id=a3fd6e7afbd3dd72d2f27a4011198d4220130514133811240	Director 0.345555 Talk 0.343898	Doc About Quitting 0.966112 YouTube 0.63058	CLICK HERE
10130	Centers for Disease Control and Prevention	Html	en	Global Health - Global Health Security - Prevent	null	endorsement 0.282622 CDC 0.261195 institutional factors 0.552576 supply chains 0.540718 Promote safe practices 0.767667 minimal number 0.510735 responsible conduct 0.498205 infection control 0.494301 effort 0.25287 epidemic-prone diseases 0.481205 research 0.250211 Content source 0.508551 HHS 0.289022 ways 0.250539 Notice 0.25823 novel zoonotic diseases 0.881873 antimicrobial resistance 0.591719 dangerous microbes 0.569856 early detection 0.526106 animals 0.307619 surveillance 0.255805	drug-resistant microorganisms 0.608341 disease threats 0.563113 settings 0.256009 development 0.250599 emergence 0.278559 strategies 0.251283 livestock production 0.518466 diagnosis 0.250271 biosurveillance 0.250122 countries 0.250479 food safety 0.509984 biological materials 0.505122 marketing 0.252275 non-federal site 0.535025 zoonotic diseases 0.951589 safely monitoring 0.515269 effective programs 0.48883 facilities 0.249061 employees 0.248225 antibiotics 0.275006 humans 0.262839	CLICK HERE
10959	Centers for Disease Control and Prevention	Html	en	Decoding MERS Coronavirus: AMD provides quick answers	To decode the 2014 Middle East Respiratory Syndrome (MERS-CoV), CDC used advanced molecular detection (AMD) methods.	CDC 0.784477 new sequence information 0.565427 traveler 0.234564 nation 0.232614 rapid pace 0.379031 Respiratory Syndrome Coronavirus 0.600642 public health investigators 0.812259 funded work 0.408066 emergent threats 0.393171 far-reaching effort 0.428435 number 0.23306 lower airways 0.399334 serum specimen 0.444247 AMD 0.540147 stronger safeguards 0.409148 case 0.269333 infectious disease outbreaks 0.594276 Indiana State Department 0.575975 additional sputum 0.402224 mucus 0.256356 timeliness 0.245394 person 0.255206 East Respiratory Syndrome 0.954251 positive result 0.420351 Action 0.235846	United States 0.596467 AMD methods 0.477474 Advanced Molecular Detection 0.562293 scientific community 0.387478 significant changes 0.38065 bioinformatics capabilities 0.424276 parallel work 0.377288 Saudi Arabia 0.626885 Major changes 0.391272 complete virus genome 0.62684 patient 0.269213 genetic sequencing methods 0.648119 Middle East Respiratory 0.954449 cases 0.233042 infectious disease outbreak 0.621648 unknown agents 0.386162 positive laboratory result 0.592779 GenBank 0.242779 AMD funding 0.527522 significant leap 0.43059 infectious disease 0.623945 AMD program 0.53947 responses 0.235918 MERS-CoV sequences 0.382228	CLICK HERE
12824	Centers for Disease Control and Prevention	Image	null	Protect Your Child From Measles (725W x 380H)	null			CLICK HERE
13899	Centers for Disease Control and Prevention	Html	en	Final Cumulative Maps & Data for 1999-2014 | West Nile Virus | CDC	Information on West Nile Virus. Provided by the U.S. Centers for Disease Control and Prevention.	North Carolina 0.87528 Vermont 0.57611 Puerto Rico 0.938142 Indiana 0.583067 Maine 0.581301 Tennessee 0.577166 Dist. 0.586532 Alabama 0.593276 Arkansas 0.592172 South Carolina 0.867726 Utah 0.576461 Washington 0.575407 Nebraska 0.578494 West Virginia 0.908651 Colorado 0.591438 Massachusetts 0.580597 Missouri 0.579194 Alaska 0.592908 North Dakota 0.874321 Arizona 0.59254 Nevada 0.578144 Rhode Island 0.938849 New York 0.879197	Montana 0.578844 Kentucky 0.582007 South Dakota 0.866775 Hawaii 0.584131 Minnesota 0.579895 California 0.591805 Kansas 0.58236 Delaware 0.590705 Florida 0.589955 New Jersey 0.881132 Michigan 0.580246 Iowa 0.582713 Mississippi 0.579544 Columbia 0.586514 New Mexico 0.890167 Illinois 0.583421 Texas 0.576814 New Hampshire 0.892145 Connecticut 0.591071 Louisiana 0.581654 Ohio 0.575656 Georgia 0.58959 Maryland 0.580949	CLICK HERE