Evidence map›Paper›PMID 35126889›Full record

ArticleJournal of public health in Africa2021

The contribution of reduced COVID-19 test time in controlling the spread of the disease: A simulation-based approach.

Youness Frichi, Abderrahmane Ben Kacem, Fouad Jawab, Said Boutahari, Oualid Kamach, Samir Chafik

Abstract read
In one paragraph

Article in Journal of public health in Africa, 2021. 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

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

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

6 authors.

Youness FrichiIndustrial Services and Technologies, High School of Technology, Sidi Mohamed Ben Abdellah University, Fez.
Abderrahmane Ben KacemLaboratory of Innovative Technologies, Abdelmalek Essaadi University, Tangier.
Fouad JawabIndustrial Services and Technologies, High School of Technology, Sidi Mohamed Ben Abdellah University, Fez.
Said BoutahariIndustrial Services and Technologies, High School of Technology, Sidi Mohamed Ben Abdellah University, Fez.
Oualid KamachLaboratory of Innovative Technologies, Abdelmalek Essaadi University, Tangier.
Samir ChafikMultidisciplinary Research and Innovation Laboratory, EMSI, Casablanca, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The novel coronavirus COVID-19 has known a large spread over the globe threatening human health. Recommendations from WHO and specialists insist on testing on a mass scale. However, health systems do not have enough resources. The current process requires the isolation of testees in the hospitals' isolation rooms for several hours until the test results are revealed, limiting hospitals' capacities to test large numbers of cases. The aim of this paper was to estimate the impact of reducing the COVID-19 test time on controlling the pandemic spread, through increasing hospitals' capacities to test on a mass scale. First, a discrete-event simulation was used to model and simulate the COVID-19 testing process in Morocco. Second, a mathematical model was developed to demonstrate the effect of accurate identification of infected cases on controlling the disease's spread. Simulation results showed that hospitals' testing capacities could be increased six times if the test duration fell from 10 hours to 10 minutes. The reduction of test time would increase testing capacities, which help to identify all the infected cases. In contrast, the simulation results indicated that if the infected population is not accurately identified and no precautionary measures are taken, the virus will continue to spread until it reaches the total population. Reducing test time is a vital component of the response to the COVID-19 pandemic. It is essential for the effective implementation of policies to contain the virus.

Indexed as

COVID-19discreteevent simulationmathematical modelsimulationtest time

Identifiers

PMID35126889
PMCPMC8791018

What OpenQuestion holds

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LicenceCC BY-NC
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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.