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On stay at home orders: Using the power of data science for spatial and temporal modeling and visualization of COVID-19

2021-02-25

Abstract excerpt

Coronavirus disease 2019 dominated and augmented many aspects of life beginning in early 2020. Related research and data generation developed alongside its spread. We developed a Bayesian spatio-temporal Poisson disease mapping model for estimating real-time characteristics of the coronavirus disease in the United States. We also created several dashboards for visualization of the statistical model for fellow rese...

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Literature Corpus work
bddcc092-fb83-5951-8b3a-ec65ff504177
DOI
10.21203/rs.3.rs-275352/v1
Open publication

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On stay at home orders: Using the power of data science for spatial and temporal modeling and visualization of COVID-19DOI 10.21203/rs.3.rs-275352/v1
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