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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Detalhes bibliográficos
Publicado no:PLoS Comput Biol
Main Authors: Cheng, Qu, Collender, Philip A., Heaney, Alexandra K., Li, Xintong, Dasan, Rohini, Li, Charles, Lewnard, Joseph A., Zelner, Jonathan L., Liang, Song, Chang, Howard H., Waller, Lance A., Lopman, Benjamin A., Yang, Changhong, Remais, Justin V.
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2020
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7744064/
https://ncbi.nlm.nih.gov/pubmed/33275606
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1008477
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