Evidence map›Paper›PMID 34976564›Full record

ArticleIEEE access : practical innovations, open solutions2020

Optimized Lockdown Strategies for Curbing the Spread of COVID-19: A South African Case Study.

Laurentz E Olivier, Stefan Botha, Ian K Craig

Abstract read
In one paragraph

Article in IEEE access : practical innovations, open solutions, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  4. Quantifying Social Interventions for Combating COVID-19 via a Symmetry-Based Model.International journal of environmental research and public health · 2022
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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

3 authors.

Laurentz E OlivierTechnology ServicesMoyo Africa Centurion 0157 South Africa.ORCID https://orcid.org/0000-0002-9367-7517
Stefan BothaAdvanced Process ControlSasol Synfuels (Pty) Ltd. Secunda 2302 South Africa.ORCID https://orcid.org/0000-0003-4135-9485
Ian K CraigDepartment of Electrical, Electronics and Computer EngineeringUniversity of Pretoria Pretoria 0002 South Africa.ORCID https://orcid.org/0000-0001-7437-3983

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To curb the spread of COVID-19, many governments around the world have implemented tiered lockdowns with varying degrees of stringency. Lockdown levels are typically increased when the disease spreads and reduced when the disease abates. A predictive control approach is used to develop optimized lockdown strategies for curbing the spread of COVID-19. The strategies are then applied to South African data. The South African case is of interest as the South African government has defined five distinct levels of lockdown, which serves as a discrete control input. An epidemiological model for the spread of COVID-19 in South Africa was previously developed, and is used in conjunction with a hybrid model predictive controller to optimize lockdown management under different policy scenarios. Scenarios considered include how to flatten the curve to a level that the healthcare system can cope with, how to balance lives and livelihoods, and what impact the compliance of the population to the lockdown measures has on the spread of COVID-19. The main purpose of this article is to show what the optimal lockdown level should be given the policy that is in place, as determined by the closed-loop feedback controller.

Indexed as

COVID-19epidemiologygenetic algorithmhybrid systemsmodel predictive controlSARS-CoV-2SEIQRDP model

Identifiers

PMID34976564
PMCPMC8675548

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.