| dbo:abstract |
Real-time outbreak and disease surveillance system (RODS) is a syndromic surveillance system developed by the University of Pittsburgh, Department of Biomedical Informatics. It is "prototype developed at the University of Pittsburgh where real-time clinical data from emergency departments within a geographic region can be integrated to provide an instantaneous picture of symptom patterns and early detection of epidemic events." RODS uses a combination of various monitoring tools. 1. * The first tool is a moving average with a 120-day sliding phase-I-window. 2. * The second tool is a nonstandard combination of CUSUM and EWMA, where an EWMA is used to predict next-day counts, and a CuSum monitors the residuals from these predictions. 3. * The third monitoring tool in RODS is a recursive least squares (RLS) algorithm, which fits an autoregressive model to the counts and updates estimates continuously by minimizing prediction error. A Shewhart I-chart is then applied to the residuals, using a threshold of 4 standard deviations. 4. * The fourth tool in RODS implements a wavelet approach, which decomposes the time series using Haar wavelets, and uses the lowest resolution to remove long-term trends from the raw series. The residuals are then monitored using an ordinary Shewhart I-chart with a threshold of 4 standard deviations. (en) |
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| dbo:wikiPageWikiLink |
dbr:Epidemic dbr:Moving_average dbc:Epidemiological_study_projects dbr:University_of_Pittsburgh dbc:Medical_statistics dbc:Public_health dbr:Haar_wavelet dbc:Epidemics dbr:EWMA dbr:Wavelet dbr:Standard_deviations dbr:Autoregressive_model dbr:CUSUM dbr:Informatics_(academic_field) dbr:Syndromic_surveillance dbr:Recursive_least_squares dbr:Prediction_error |
| dbp:date |
December 2010 (en) |
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"" (en) |
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wikilink for this? (en) |
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dbt:Clarify dbt:Reflist dbt:Epidemic-stub dbt:U.S._biological_defense |
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dbc:Epidemiological_study_projects dbc:Medical_statistics dbc:Public_health dbc:Epidemics |
| gold:hypernym |
dbr:System |
| rdfs:comment |
Real-time outbreak and disease surveillance system (RODS) is a syndromic surveillance system developed by the University of Pittsburgh, Department of Biomedical Informatics. It is "prototype developed at the University of Pittsburgh where real-time clinical data from emergency departments within a geographic region can be integrated to provide an instantaneous picture of symptom patterns and early detection of epidemic events." RODS uses a combination of various monitoring tools. (en) |
| rdfs:label |
Real-time outbreak and disease surveillance (en) |
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freebase:Real-time outbreak and disease surveillance wikidata:Real-time outbreak and disease surveillance https://global.dbpedia.org/id/4u3cw |
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