dc.contributor.author |
Meththananda, R.G.U.I |
|
dc.contributor.author |
Ganegoda, N.C. |
|
dc.contributor.author |
Perera, S.S.N. |
|
dc.contributor.author |
Erandi, K.K.W.H. |
|
dc.contributor.author |
Jayathunga, Y. |
|
dc.contributor.author |
Peiris, H.O.W. |
|
dc.date.accessioned |
2023-03-28T04:14:27Z |
|
dc.date.available |
2023-03-28T04:14:27Z |
|
dc.date.issued |
2022 |
|
dc.identifier.citation |
Meththananda, R.G.U.I , et al. (2022). On timeline of enhancing testing-capacity of COVID-19: A case study via an optimal replacement model. Journal of Process Control 105 (2021) 204–213. |
en_US |
dc.identifier.uri |
http://dr.lib.sjp.ac.lk/handle/123456789/12609 |
|
dc.description.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. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Elsevier |
en_US |
dc.subject |
COVID-19 Integral equation Optimal replacement Testing-capacity Fuzzy operator Parameter estimation |
en_US |
dc.title |
On timeline of enhancing testing-capacity of COVID-19: A case study via an optimal replacement model |
en_US |
dc.type |
Article |
en_US |