Inferring the effective reproductive number from deterministic and semi-deterministic compartmental models using incidence and mobility data

Jair Andrade; Benjamin Althouse; Jim Duggan

doi:10.1371/journal.pcbi.1010206

Inferring the effective reproductive number from deterministic and semi-deterministic compartmental models using incidence and mobility data

Jair Andrade, Benjamin Althouse (Editor), Jim Duggan

Data Science Institute

Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review

Original language	Undefined/Unknown
Journal	PLOS Computational Biology
DOIs	https://doi.org/10.1371/journal.pcbi.1010206
Publication status	Published - 27 Jun 2022

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10.1371/journal.pcbi.1010206

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title = "Inferring the effective reproductive number from deterministic and semi-deterministic compartmental models using incidence and mobility data",

author = "Jair Andrade and Benjamin Althouse and Jim Duggan",

year = "2022",

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day = "27",

doi = "10.1371/journal.pcbi.1010206",

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journal = "PLOS Computational Biology",

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T1 - Inferring the effective reproductive number from deterministic and semi-deterministic compartmental models using incidence and mobility data

AU - Andrade, Jair

AU - Duggan, Jim

A2 - Althouse, Benjamin

PY - 2022/6/27

Y1 - 2022/6/27

UR - https://doi.org/10.1371/journal.pcbi.1010206

U2 - 10.1371/journal.pcbi.1010206

DO - 10.1371/journal.pcbi.1010206

M3 - Article

JO - PLOS Computational Biology

JF - PLOS Computational Biology

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Inferring the effective reproductive number from deterministic and semi-deterministic compartmental models using incidence and mobility data

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