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Title: goldsteinepi/covid_spatial: A Bayesian Approach to Improving Spatial Estimates After Accounting for Misclassification Bias in Surveillance Data for COVID-19 in Philadelphia, PA.

Type Software Neal D. Goldstein (2020): goldsteinepi/covid_spatial: A Bayesian Approach to Improving Spatial Estimates After Accounting for Misclassification Bias in Surveillance Data for COVID-19 in Philadelphia, PA.. Zenodo. Software. https://zenodo.org/record/3972175

Author: Neal D. Goldstein ;

Links

Summary

Goldstein ND, Wheeler DC, Gustafson P, Burstyn I. A Bayesian Approach to Improving Spatial Estimates After Accounting for Misclassification Bias in Surveillance Data for COVID-19 in Philadelphia, PA. Manuscript in preparation.

More information

  • DOI: 10.5281/zenodo.3972175

Dates

  • Publication date: 2020
  • Issued: August 04, 2020

Rights

  • info:eu-repo/semantics/openAccess Open Access

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Format

electronic resource

Relateditems

DescriptionItem typeRelationshipUri
IsSupplementTohttps://github.com/goldsteinepi/covid_spatial/tree/v2.0
IsVersionOfhttps://doi.org/10.5281/zenodo.3929424
IsPartOfhttps://zenodo.org/communities/covid-19
IsPartOfhttps://zenodo.org/communities/zenodo