Evidence map›Paper›PMID 36907932›Full record

ArticleBulletin of mathematical biology2023

Reframing Optimal Control Problems for Infectious Disease Management in Low-Income Countries.

Morganne Igoe, Renato Casagrandi, Marino Gatto, Christopher M Hoover, Lorenzo Mari, Calistus N Ngonghala, Justin V Remais, James N Sanchirico, Susanne H Sokolow, Suzanne Lenhart and 1 more

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Article in Bulletin of mathematical biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

3 citing papers in PubMed.

  1. Article
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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

11 authors.

Morganne IgoeDepartment of Mathematics, University of Tennessee, Knoxville, TN, USA. migoe@utk.edu.ORCID http://orcid.org/0000-0001-9766-4230
Renato CasagrandiDipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy.
Marino GattoDipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy.
Christopher M HooverDivision of Environmental Health Sciences, University of California, Berkeley, Berkeley, CA, USA.
Lorenzo MariDipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy.
Calistus N NgonghalaDepartment of Mathematics, University of Florida, Gainesville, FL, USA.
Justin V RemaisDivision of Environmental Health Sciences, University of California, Berkeley, Berkeley, CA, USA.
James N SanchiricoEnvironmental Science and Policy, University of California, Davis, Davis, CA, USA.
Susanne H SokolowStanford Program for Diseases Ecology, Health and the Environment, Stanford University, Pacific Grove, CA, USA.
Suzanne LenhartDepartment of Mathematics, University of Tennessee, Knoxville, TN, USA.
Giulio de LeoDepartment of Earth System Science and Department of Oceans, Hopkins Marine Station, Stanford Doerr School of Sustainability, Stanford University, Pacific Grove, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optimal control theory can be a useful tool to identify the best strategies for the management of infectious diseases. In most of the applications to disease control with ordinary differential equations, the objective functional to be optimized is formulated in monetary terms as the sum of intervention costs and the cost associated with the burden of disease. We present alternate formulations that express epidemiological outcomes via health metrics and reframe the problem to include features such as budget constraints and epidemiological targets. These alternate formulations are illustrated with a compartmental cholera model. The alternate formulations permit us to better explore the sensitivity of the optimal control solutions to changes in available budget or the desired epidemiological target. We also discuss some limitations of comprehensive cost assessment in epidemiology.

Indexed as

InfectionsCholeraDeveloping CountriesHumansTreatment OutcomeEpidemiological management goalsOptimal control of differential equations

Identifiers

PMID36907932
PMCPMC10008208

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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.