Evidence map›Paper›PMID 37861753›Full record

ArticleJournal of mathematical biology2023

The effect of governance structures on optimal control of two-patch epidemic models.

Emily Howerton, Kyle Dahlin, Christina J Edholm, Lindsey Fox, Margaret Reynolds, Brandon Hollingsworth, George Lytle, Melody Walker, Julie Blackwood, Suzanne Lenhart

Abstract read
In one paragraph

Article in Journal of mathematical biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Emily HowertonDepartment of Biology and Center for Infectious Disease Dynamics, Pennsylvania State University, University Park, PA, USA.ORCID 0000-0002-0639-3728
Kyle DahlinCenter for the Ecology of Infectious Diseases, Odum School of Ecology, University of Georgia, Athens, GA, USA. kyle.dahlin@uga.edu.ORCID 0000-0002-1116-8074
Christina J EdholmMathematics Department, Scripps College, Claremont, CA, USA.ORCID 0000-0001-7922-7758
Lindsey FoxMathematics Discipline, Eckerd College, Saint Petersburg, FL, USA.ORCID 0000-0001-6252-5839
Margaret ReynoldsDepartment of Mathematical Sciences, United States Military Academy, West Point, NY, USA.ORCID 0000-0002-9762-8851
Brandon HollingsworthDepartment of Entomology, Cornell University, Ithaca, NY, USA.ORCID 0000-0002-1772-8191
George LytleDepartment of Biology, Chemistry, Mathematics, and Computer Science, University of Montevallo, Montevallo, AL, USA.ORCID 0000-0002-8290-3021
Melody WalkerDepartment of Medicine, University of Florida, Gainesville, FL, USA.
Julie BlackwoodDepartment of Mathematics and Statistics, Williams College, Williamstown, MA, USA.
Suzanne LenhartDepartment of Mathematics, University of Tennessee, Knoxville, TN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infectious diseases continue to pose a significant threat to the health of humans globally. While the spread of pathogens transcends geographical boundaries, the management of infectious diseases typically occurs within distinct spatial units, determined by geopolitical boundaries. The allocation of management resources within and across regions (the "governance structure") can affect epidemiological outcomes considerably, and policy-makers are often confronted with a choice between applying control measures uniformly or differentially across regions. Here, we investigate the extent to which uniform and non-uniform governance structures affect the costs of an infectious disease outbreak in two-patch systems using an optimal control framework. A uniform policy implements control measures with the same time varying rate functions across both patches, while these measures are allowed to differ between the patches in a non-uniform policy. We compare results from two systems of differential equations representing transmission of cholera and Ebola, respectively, to understand the interplay between transmission mode, governance structure and the optimal control of outbreaks. In our case studies, the governance structure has a meaningful impact on the allocation of resources and burden of cases, although the difference in total costs is minimal. Understanding how governance structure affects both the optimal control functions and epidemiological outcomes is crucial for the effective management of infectious diseases going forward.

Indexed as

CholeraCommunicable DiseasesEpidemicsHemorrhagic Fever, EbolaDisease OutbreaksHumansCholeraEbolaGovernanceODE modelOptimal controlSpatial movement

Identifiers

PMID37861753
PMCPMC10589198

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.