The DIOS framework for optimizing infectious disease surveillance: Numerical methods for simulation and multi-objective optimization of surveillance network architectures.

The DIOS framework for optimizing infectious disease surveillance: Numerical methods for simulation and multi-objective optimization of surveillance network architectures.

Infectious disease surveillance systems provide vital data for guiding disease prevention and control policies, yet the formalization of methods to optimize surveillance networks has largely been overlooked. Decisions surrounding surveillance design parameters-such as the number and placement of sur...

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Bibliographic Details
Main Authors: Qu Cheng, Philip A Collender, Alexandra K Heaney, Xintong Li, Rohini Dasan, Charles Li, Joseph A Lewnard, Jonathan L Zelner, Song Liang, Howard H Chang, Lance A Waller, Benjamin A Lopman, Changhong Yang, Justin V Remais
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-12-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1008477

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https://doi.org/10.1371/journal.pcbi.1008477

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