On timeline of enhancing testing-capacity of COVID-19: A case study via an optimal replacement model.

R G U I Meththananda, N C Ganegoda, S S N Perera, K K W H Erandi, Y Jayathunga, H O W Peiris

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Article in Journal of process control, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

R G U I MeththanandaDepartment of Spatial Sciences, General Sir John Kotelawala Defence University, Southern Campus, Sooriyawewa, Sri Lanka.

N C GanegodaDepartment of Mathematics, University of Sri Jayewardenepura, Nugegoda, Sri Lanka.

S S N PereraDepartment of Mathematics, University of Colombo, Sri Lanka.

K K W H ErandiDepartment of Mathematics, University of Colombo, Sri Lanka.

Y JayathungaDepartment of Mathematics, University of Colombo, Sri Lanka.

H O W PeirisDepartment of Mathematics and Computer Science, Open University of Sri Lanka, Nawala, Sri Lanka.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Process of enhancing testing-capacity regarding COVID-19 is a topic of interest. This task of enhancing is constrained by socio-economic background of a country either in favorable or unfavorable ways. In this paper, we investigate timing of enhancing testing-capacity as an optimal problem, where the enhancement is quantified via number of tests as an instant measure and recovered portion as a long-term measure. The proposed work is structured analogous to an optimal machine replacement model based on a non-linear integral equation. Overall model is partially identifiable and compatible parameter estimations are carried out for a specific case study covering an early stage scenario. In addition, scenario development criteria on demand and effort for enhancing testing-capacity are introduced for predictions. In one numerical experiment, it is observed that frequency of enhancing testing-capacity starts decreasing after two increments indicating a favorable direction amidst effort constraints.

Indexed as

COVID-19Fuzzy operatorIntegral equationOptimal replacementParameter estimationTesting-capacity

Identifiers

PMID34539099

DOI10.1016/j.jprocont.2021.08.002

PMCPMC8438793

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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.