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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
1137	Centers for Disease Control and Prevention	Html	en	Expanding Primary Care Capacity to Treat Hepatitis C VirusInfection Through an Evidence-Based Care Model - Arizona and Utah,2012-2014	Kiren Mitruka, MD1, Karla Thornton, MD2, Susanne Cusick3, Christina Orme3, Ann Moore4, Richard A. Manch, MD4, Terry Box, MD3, Christie Carroll2, Deborah Holtzman, PhD1, John W. Ward, MD1 (Author affiliations at end of text).	primary care providers 0.369506 treatment 0.267371 Project ECHO 0.713995 chronic HCV infection 0.356934 HCV infection 0.941631	primary care 0.826029 teleECHO clinics 0.280125 rural settings 0.209845 primary care clinicians 0.745976	CLICK HERE
1311	Centers for Disease Control and Prevention	Html	en	Mumps | CDC Features	Mumps vaccine is the best way to protect your child against mumps, a contagious disease that can cause serious complications.	college 0.233111 health insurance 0.380947 best way 0.430966 insurance provider 0.296669 program 0.233109 children 0.321615 long-lasting problems 0.305609 highly vaccinated U.S. 0.418681 swollen jaw 0.313968 long-term health problems 0.398518 rubella 0.25424 diseases 0.239648 puffy cheeks 0.319614 effects 0.237217 viral encephalitis 0.316183 mumps vaccine 0.821166 rare cases 0.298914 high vaccination coverage 0.392112 mumps 0.987273 child 0.39332 doses 0.250447 mumps outbreaks 0.701938 vaccines 0.313758 fever 0.238637 cause 0.224854	sudden deafness 0.314551 immunization records 0.323964 MMRV vaccine 0.420166 trade school 0.301263 muscle aches 0.315344 combination vaccine 0.517956 healthcare professionals 0.298044 eligible children 0.304683 higher risk 0.295749 health insurance plans 0.374364 salivary glands 0.319639 mumps cases 0.572791 Talk 0.241521 varicella 0.223804 doctor 0.253158 rash 0.223153 MMR vaccine.  Learn 0.435683 state VFC coordinator 0.377972 close-contact settings 0.30226 international travelers 0.299874 appetite 0.222208 measles 0.252434 MMR vaccine 0.678751 contagious disease 0.421704	CLICK HERE
4596	Centers for Disease Control and Prevention	Image	null	Photograph of lobster tank (700W x 933H)	null			CLICK HERE
7121	Centers for Disease Control and Prevention	Html	en	CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0311	The objective of this study was to identify the number of people with diabetes from a diabetes DataLink developed as part of the SUPREME-DM (SUrveillance, PREvention, and ManagEment of Diabetes Mellitus) project, a consortium of 11 integrated health systems that use comprehensive EHR data for research.	diabetes identification 0.765247 Kaiser Permanente Hawaii 0.550204 data 0.799193 multiple health systems 0.577056 diabetes DataLink 0.791154 diabetes mellitus 0.751003 EHR data 0.609631 Henry Ford Health 0.611646 health administrative data 0.554313 accurate diabetes registries 0.719193 laboratory test results 0.603154 diabetes cases 0.68164 possible diabetes 0.655968 care management studies 0.542253 diabetes prevalence 0.690503 health care delivery 0.575476 SUPREME-DM DataLink criteria 0.545175 Kaiser Permanente Colorado 0.613122 gestational diabetes 0.741736 diabetes registries 0.736427 laboratory results data 0.541177 incident diabetes 0.737534 comparative effectiveness research 0.654371 complete EHR data 0.549935	administrative data 0.64788 Kaiser Permanente regions 0.559555 diabetes database 0.645217 health care systems 0.635698 diabetes incidence 0.682673 health systems 0.670621 true diabetes incidence 0.679103 Diabetes Care 0.645917 diabetes case status 0.695494 diabetes duration 0.683337 integrated health systems 0.653062 health 0.743001 diabetes surveillance 0.650956 diabetes diagnosis 0.717072 incident cases 0.699994 diabetes researchers 0.664847 comprehensive EHR data 0.609401 multisite diabetes registries 0.721459 SUPREME-DM DataLink 0.73137 Geisinger Health 0.541014 health plan 0.542056 diabetes 0.905873 adult diabetes prevalence 0.672867	CLICK HERE
7415	Centers for Disease Control and Prevention	Html	en	Emergency and Environmental Health Services: Improving the Practice of Environmental Health	NCEH provides leadership to promote health & quality of life by preventing or controlling those diseases or disabilities resulting from interaction between people and the environment. Site has information/education resources on a broad range of topics, including asthma, birth defects, radiation, sanitation, lead in blood, and more.	cruise ship industry 0.582846 Health Services advances 0.641406 Technical expertise 0.446088 Surveillance data 0.439076 sanitation inspections 0.470169 chemical warfare agents 0.997802 environmental health programs 0.604549 Monitors gastrointestinal illnesses 0.569315 highest risk children 0.552676 Safe Water 0.442415 foodborne illnesses 0.455429 National Center 0.461629 cruise ship 0.604093 construction inspections 0.436695 Vessel Sanitation Program 0.588778 U.S. disposal facility 0.573039 emergency preparedness 0.461868 chemical weapons elimination 0.853621 safe disposal 0.459915 Blue Grass 0.43691 response efforts 0.453888 practice-based research 0.447491 limited resources 0.439847 lead exposure 0.448234 Poisoning Prevention Program 0.614092	highly hazardous chemicals 0.559811 environmental public health 0.680933 Control Communicable Diseases 0.541855 Environmental Health/Division 0.486092 United States 0.461337 prevents childhood 0.459838 program’s resources 0.460408 Weapons Elimination team 0.58017 health departments 0.473101 funded program 0.477027 U.S. Army 0.445945 public health 0.796779 Lead surveillance 0.464119 recreational water 0.437027 cruise ships 0.465012 nonstockpile chemical warfare 0.614546 environmental health practitioners 0.602843 Healthy community design 0.582912 public health practices 0.588732 Public Health Service 0.583703 childhood lead poisoning 0.86423 independent oversight 0.446432 lead poisoning prevention 0.852702 technical guidance 0.458386	CLICK HERE
7999	Centers for Disease Control and Prevention	Html	en	South Africa - FELTP Graduates Are Ready to Serve Public Health in South Africa	CDC partners in South Africa with government and parastatal agencies, private institutions, universities and non-governmental organizations to improve the country’s public health foundation, to prevent transmission of HIV, to provide care and treatment for those who are already infected with HIV, and to strengthen laboratory capacity.	typhoid fever 0.565286 Laboratory Training Program 0.642786 multidrug-resistant hospital-acquired infections 0.63682 Communicable Diseases 0.568359 Sub-Saharan Africa 0.585447 data gathering 0.572414 South Africa Field 0.666202 National Health Laboratory 0.64806 Seymour Williams 0.574151 North West 0.688392 surveillance data 0.566084 graduate Thejane Motladiile 0.617089 SA-FELTP residents 0.584345 Gauteng province 0.569271 North West Provincial 0.619784 SA-FELTP graduates 0.640915 Southern African Journal 0.615652 Western Cape provinces 0.618197 SA-FELTP work 0.570924 nosocomial outbreaks 0.587838 new MPH diploma 0.611626 Resident Advisor 0.570084 South Africa 0.840127 well-functioning public health 0.666203	public health awareness 0.681702 MDR Acinetobacter baumannii 0.618824 hospital-acquired infections 0.643063 public health policy 0.678924 public health priorities 0.661294 multi-pathogen diarrheal disease 0.624686 important work 0.568469 Limpopo province 0.572865 important health messages 0.63699 regional public health 0.65191 synthesis skills 0.571735 national departments 0.566806 public health professionals 0.650388 public health 0.904961 National Institute 0.570315 multi-drug resistant TB 0.630761 critical data 0.575659 North West province 0.621628 hospital’s ICU 0.564097 n’t respect boundaries 0.636631 non-federal site 0.566538 infection control procedures 0.613671 Free State province 0.624464 CDC South Africa 0.652492	CLICK HERE
9329	Centers for Disease Control and Prevention	Html	es	Integración de un diseño multimodal a la Encuesta Nacional Telefónica de Marcación Aleatoria	null	múltiples métodos 0.902521 Salud Pública 0.773353	estudio piloto 0.833604	CLICK HERE
11762	Centers for Disease Control and Prevention	Html	en	2014 Ebola Outbreak in West Africa - Outbreak Distribution Map	null	World Health Organization 0.386427 Ebola virus transmission 0.551441 Sierra Leone 0.215804 countries 0.250096 large proportion 0.203997 public health authorities 0.71591 Ebola cases 0.275819	country classification 0.532038 widespread transmission 0.983761 incubation periods 0.204118 international air travel 0.358638 control measures 0.865347 new cases 0.205876 active surveillance 0.216651	CLICK HERE
13263	Centers for Disease Control and Prevention	Html	en	The Immunization Baby Book (4:16)	For parents there's no greater joy then watching your child grow up happy and healthy. That's why most parents choose the safe, proven protection of vaccines.	National Center 0.51992 baby book 0.522184 Immunization 0.441879 vaccines babies 0.579397 greater joy 0.547986 childhood diseases 0.517617 protection 0.345664 visit https://www.cdc.gov/vaccines/parents 0.524881 feedback 0.342894 preparedness topics 0.794775 variety 0.394424	children 0.392653 safety 0.394208 Respiratory Diseases 0.51405 safe 0.345741 different audiences 0.779248 public health professionals 0.976221 CDC-TV videos 0.679996 comment 0.34489 information 0.342774 power 0.343494 age 0.343218	CLICK HERE
15857	Centers for Disease Control and Prevention	Html	en	Association Between User-Generated Commuting Data andPopulation-Representative Active Commuting Surveillance Data - FourCities, 2014-2015 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	transportation officials 0.494218 active transportation programs 0.560702 U.S. cities 0.523482 higher block group 0.497114 GPS-based commuting data 0.495315 rank block groups 0.496131 number 0.487534 population density 0.593834 GPS-tracked data sources 0.50622 active transportation data 0.667143 non-work active transportation 0.499146 active transportation 0.953258 public health surveillance 0.572828 ACS samples 0.500699 block group estimates 0.500222 User-generated GPS data 0.504512 block group level 0.504577 user-generated active transportation 0.65995 block groups 0.795709 population-representative active transportation 0.513961 general U.S. population 0.482884 census block groups 0.517093 population-representative commuting data 0.495192 public health practice 0.479923 ACS active commuters 0.800198	ACS commuter variables 0.502229 application users 0.509091 GPS-tracked active commuters 0.547925 traditional active transportation 0.559652 active transportation surveillance 0.640386 GPS-tracked commuters 0.628709 GPS-tracked commuting data 0.497135 ACS cycles 0.495666 GPS-tracked active transportation 0.52346 general population 0.493775 higher population density 0.476658 block group 0.770412 user-generated data 0.482316 public health 0.609312 block group population 0.548516 data collection 0.506339 in-person data collection 0.480745 physical activity 0.51674 Census block group 0.508739 San Francisco 0.579883 user-generated GPS-tracked 0.502146 ACS respondents 0.484546 transportation surveillance systems 0.500767 public health priority 0.477993	CLICK HERE