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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
5618	Centers for Disease Control and Prevention	Html	en	Ethion - 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
6784	Centers for Disease Control and Prevention	Html	en	Outbreak of Cryptosporidiosis Associated with a Firefighting Response - Indiana and Michigan, June 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.	abdominal cramps 0.701337 probable case 0.57806 clinical case 0.769513 Cryptosporidium spp 0.612393 stool specimens 0.861776 Michigan local health 0.546228 gastrointestinal illness 0.744303 fecal contamination 0.587311 intestinal fluid 0.670781 Cryptosporidium species 0.614704 Cryptosporidium oocysts 0.611227 24-hour period 0.552881 Cryptosporidium parvum 0.820028 human stool specimens 0.699656 Cryptosporidium infection 0.597715 Michigan State University 0.579704 Zoonotic Infectious Diseases 0.578829 ill firefighters 0.590799 drinking water 0.575316 Community Health 0.637508 human stool specimen 0.585015 Joseph Community Health 0.590451 calf fecal specimens 0.558599 Cryptosporidium nucleic acid 0.672011	Local hydrant water 0.551226 Cryptosporidium 0.996604 calf fecal samples 0.805683 Michigan State 0.594036 pond water exposure 0.641735 Michigan State Univ 0.589993 positive laboratory confirmation 0.569866 confirmatory Cryptosporidium testing 0.676983 direct calf contact 0.595125 loose stools 0.55105 Community Health Agency 0.590443 water 0.769943 tissue samples 0.548077 firefighters 0.779778 thorough hygiene 0.551169 swimming pond 0.63293 Cryptosporidium organisms 0.715804 Indiana fire station 0.559721 swimming pond water 0.592005 pond water samples 0.582623 barn housing 0.55611 cryptosporidiosis 0.555496 pond water 0.769199	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
7535	Centers for Disease Control and Prevention	Html	en	Arthritis - Interventions - Self-Management	These physical activity programs are all approved evidence-based programs that are proven to improve the quality of life of people with arthritis.	trained leaders 0.210187 Arthritis Foundation Self-Help 0.441628 Spanish-speaking people 0.2177 Choices Better Health 0.221743 State health departments 0.213611 individualized self-management program 0.461468 6-week interactive workshop 0.242679 Arthritis intervention 0.280271 Leadership Council website 0.374406 CDSMP program 0.242363 CDC-Arthritis Program funding 0.233976 Arthritis Toolkit 0.370076 health departments 0.23033 chronic disease management 0.226075 weekly 2-hour sessions 0.223068 self-management education program 0.576465 health care providers 0.224764 CDC Arthritis Program 0.518152 health care 0.277123 Self-Management Resource Center 0.523715 health professionals 0.321226 appropriate exercises 0.244846 Stanford University 0.329258 culturally appropriate manner 0.25193	Disease Self-Management Program 0.62965 arthritis management skills 0.371913 Arthritis Self-Help book 0.358938 chronic diseases 0.353854 new treatments 0.322516 Dr. Kate Lorig 0.217752 non-health professionals 0.210161 robust science base 0.205082 community setting 0.204322 self-management education 0.57917 self-management education intervention 0.396585 chronic health problems 0.441493 self-management education programs 0.41162 Arthritis website 0.287394 appropriate exercise 0.269514 Program funding 0.249312 su Salud 0.228704 Arthritis Self-Management Program 0.901821 Evidence-Based Leadership Council 0.378084 internationally recognized Chronic 0.211186 Chronic Disease Self-Management 0.637599 effective self-management education 0.575801 Better Choices Better 0.307044	CLICK HERE
7961	Centers for Disease Control and Prevention	Html	en	Folic Acid Quiz - CDC - Features	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
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
8520	Centers for Disease Control and Prevention	Html	en	HAN Alert - Human Infections with Novel Influenza A H7N9 Viruses	Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC).	influenza diagnostic test 0.462014 influenza diagnostic testing 0.429839 human influenza 0.433587 avian influenza 0.930526 United States 0.353084 novel influenza 0.694993 avian influenza viruses 0.45942 negative rapid influenza 0.459532 influenza A viruses 0.459105 novel avian influenza 0.491065 H7N9 virus infections 0.320224 local health department 0.303558 influenza virus infection 0.493258 novel influenza viruses 0.467995 influenza antiviral medications 0.432104 influenza illness onset 0.416548 positive test result 0.298531 pathogenic avian influenza 0.530649 possible novel influenza 0.432117 local health 0.303789 CDC avian influenza 0.434624 variant influenza 0.469876 virulent influenza viruses 0.442492	test result 0.306521 public health 0.414184 Variant Virus Cases 0.305932 influenza A virus 0.518111 virus infections 0.324895 virus subtypes 0.30047 unsubtypeable influenza 0.3882 typical influenza season 0.423796 cases 0.350621 avian influenza virus 0.523184 public health officials 0.315503 H7N9 avian influenza 0.435002 virus infection 0.596873 influenza viruses 0.572082 Suspected Influenza 0.391884 severe respiratory illness 0.440767 state public health 0.345803 appropriate infection control 0.335233 Chinese public health 0.316418 Enhanced Influenza Surveillance 0.402617 human infection 0.35802 public health laboratory 0.300911	CLICK HERE
8817	Centers for Disease Control and Prevention	Html	en	Value of Pharmacy-Based Influenza Surveillance - Ontario,Canada, 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.	local health authority 0.853296 symptom onset 0.680109 antiviral dispensing data 0.536284 absolute prescription counts 0.494188 Public Health Agency 0.54506 dispensed prescription medications 0.50384 influenza laboratory confirmations 0.562868 public health authority 0.495424 Public Health Ontario 0.493638 public health authorities 0.683908 positive influenza laboratory 0.607926 weekly influenza 0.57487 pandemic influenza 0.542484 real-time prescription data 0.497789 antiviral prescription 0.691621 Ontario influenza 0.537596 dispensed prescriptions 0.505479 case onset trend 0.591475 influenza laboratory reports 0.556198 public health surveillance 0.520624 illness onset date 0.528546 prescription dispensing dates 0.499782 public health 0.79595 onset dates 0.584602	pharmacy prescription data 0.514164 real-time pharmacy-based surveillance 0.4957 influenza pandemic 0.515294 antiviral prescriptions 0.648425 Weekly antiviral prescriptions 0.549286 date laboratory results 0.498165 health authority level 0.857474 individual-level prescription data 0.508704 onset date 0.553689 Prescription medication data 0.506373 influenza surveillance strategy 0.565483 symptom onset dates 0.532815 local influenza activity 0.57937 influenza laboratory results 0.568419 influenza surveillance 0.681666 pharmacy-based surveillance 0.597406 laboratory reports 0.55711 prescription data 0.529687 case onset date 0.531456 antiviral prescription proportions 0.553963 onset trend line 0.591464 antiviral medications 0.506941 antiviral prescription trend 0.608992	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
11384	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Rural"Urban Differences in Objective and Subjective Measures of Physical Activity: Findings From the National Health and Nutrition Examination Survey (NHANES) 2003"2006 - CDC	Lower levels of physical activity among rural relative to urban residents have been suggested as an important contributor to rural–urban health disparity; however, empirical evidence is sparse.	self-reported physical activity 0.355495 high school 0.374398 rural residents 0.566102 urban physical activity 0.369911 high-intensity long-bout activity 0.353045 physical activity threshold 0.360942 rural–urban differences 0.437454 physical activity measurement 0.364857 high-intensity physical activity 0.393367 physical activity data 0.385302 physical activity differences 0.38909 subjective measures 0.386322 micropolitan rural tracts 0.383437 household physical activity 0.442481 transportation physical activity 0.368138 nonmicropolitan rural tracts 0.36593 adult physical activity 0.35995 low-intensity physical activity 0.396353 rural–urban physical activity 0.356885 nonmicropolitan rural residents 0.40167 threshold physical activity 0.368185 micropolitan rural residents 0.374437 valid accelerometer data 0.356012 urban residents 0.503778	physical activity disparity 0.35925 accelerometer data 0.365331 objective physical activity 0.520734 total physical activity 0.446094 Physical Activity Guidelines 0.359202 bout length 0.43307 leisure physical activity 0.370396 Weekly physical activity 0.358619 nationally representative sample 0.391776 physical activity measure 0.377474 daily physical activity 0.358329 micropolitan residents 0.368737 objective–subjective physical activity 0.367594 household activity 0.35693 physical activity literature 0.356224 different physical activity 0.361678 rural–urban difference 0.361062 physical activity 0.936674 subjective physical activity 0.508586 leisure-time physical activity 0.353194 short-bout physical activity 0.358924 accelerometer-measured physical activity 0.365265 time 0.357138 physical activity measures 0.437119	CLICK HERE