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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
5787	Centers for Disease Control and Prevention	Html	en	Grain dust (oat, wheat, barley) - NIOSH Pocket Guide to Chemical Hazards	null	MPEG 0.378858 search 0.263099 PDF 0.261307 PPT 0.446092	DOC 0.368812 information 0.262482 different file formats 0.938484 page 0.276773	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
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
10203	Centers for Disease Control and Prevention	Html	en	Human Infection with Avian Influenza A (H5N1) Virus | Health Alert Network	Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC).	influenza diagnostic test 0.447049 CDC Health Alert 0.346709 diagnostic test result 0.364248 epidemiologic information 0.338878 avian influenza 0.913141 Human Influenza Virus 0.443196 potential human cases 0.343153 novel influenza 0.516558 avian influenza viruses 0.465244 H5N1 complications 0.385799 human cases 0.370198 recent travel 0.338603 negative rapid influenza 0.445815 infection control 0.439368 Public Health Agency 0.372465 exposure criteria 0.356195 North America 0.364896 respiratory distress syndrome 0.383132 local health department 0.368825 Clinical Illness Criteria 0.344368 additional guidance 0.347669 infection control precautions 0.400374 influenza illness onset 0.418806 animal influenza 0.398326	state health departments 0.371668 Canadian public health 0.342197 public health 0.41961 influenza A virus 0.489838 respiratory specimens 0.356684 acute respiratory illness 0.350801 virus subtypes 0.346458 (http://www.cdc.gov/flu/avianflu/healthprofessionals.htm). 0.350899 acute respiratory distress 0.345206 patients 0.353073 testing 0.350545 Canada technical briefing 0.340559 virus infection 0.663554 (http://www.cdc.gov/flu/avianflu/h5n1/case-definitions.htm). 0.347043 persons 0.34271 severe respiratory illness 0.386175 state public health 0.358191 respiratory failure 0.346646 appropriate infection control 0.371151 subsequent related cases 0.341562 human infection 0.447359 public health laboratory 0.358187 influenza diagnostic tests 0.414652	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
13188	Centers for Disease Control and Prevention	Html	en	Groups at Higher Risk for Hereditary Breast and Ovarian Cancer	Hereditary breast cancer means that breast cancer runs in your family, and could be caused by an inherited change in your genes.	higher risk 0.360958 health care provider 0.470676 change 0.232923 ovarian cancers 0.408003 breast cancer if— 0.634066 BRCA1 0.257787 strong family health 0.467134 genetic counseling 0.352543	hereditary breast cancers 0.775044 mutations 0.343727 hereditary breast cancer 0.987289 BRCA2 gene mutation 0.493223 family history 0.333938 person 0.229982 step 0.227987 information 0.227723	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