Published October 21, 2020
| Version v3.0
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goldsteinepi/covid_spatial: A Bayesian Approach to Improving Spatial Estimates of Prevalence of COVID-19 After Accounting for Misclassification Bias in Surveillance Data in Philadelphia, PA.
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Description
Goldstein ND, Wheeler DC, Gustafson P, Burstyn I. A Bayesian Approach to Improving Spatial Estimates of Prevalence of COVID-19 After Accounting for Misclassification Bias in Surveillance Data in Philadelphia, PA. Manuscript in preparation.
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goldsteinepi/covid_spatial-v3.0.zip
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(19.8 kB)
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Related works
- Is supplement to
- https://github.com/goldsteinepi/covid_spatial/tree/v3.0 (URL)