Evidence map›Paper›PMID 34043676›Full record

ArticlePloS one2021

A data driven change-point epidemic model for assessing the impact of large gathering and subsequent movement control order on COVID-19 spread in Malaysia.

Sarat C Dass, Wai M Kwok, Gavin J Gibson, Balvinder S Gill, Bala M Sundram, Sarbhan Singh

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 20% of its field
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

10 citing papers in PubMed, 17 citations in OpenAlex.

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  9. COVID-19 in Malaysia: Descriptive Epidemiologic Characteristics of the First Wave.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

6 authors at 3 institutions in 2 countries.

Sarat C DassSchool of Mathematical and Computer Sciences, Heriot-Watt University Malaysia, Putrajaya, Wilayah Persekutuan Putrajaya, Malaysia.ORCID 0000-0002-7376-0436
Wai M KwokSchool of Mathematical and Computer Sciences, Heriot-Watt University Malaysia, Putrajaya, Wilayah Persekutuan Putrajaya, Malaysia.
Gavin J GibsonSchool of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, Scotland, United Kingdom.
Balvinder S GillInstitute for Medical Research, Ministry of Health, Shah Alam, Selangor, Malaysia.
Bala M SundramInstitute for Medical Research, Ministry of Health, Shah Alam, Selangor, Malaysia.
Sarbhan SinghInstitute for Medical Research, Ministry of Health, Shah Alam, Selangor, Malaysia.
Ministry of Health · MYHeriot-Watt University Malaysia · MYHeriot-Watt University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The second wave of COVID-19 in Malaysia is largely attributed to a four-day mass gathering held in Sri Petaling from February 27, 2020, which contributed to an exponential rise of COVID-19 cases in the country. Starting from March 18, 2020, the Malaysian government introduced four consecutive phases of a Movement Control Order (MCO) to stem the spread of COVID-19. The MCO was implemented through various non-pharmaceutical interventions (NPIs). The reported number of cases reached its peak by the first week of April and then started to reduce, hence proving the effectiveness of the MCO. To gain a quantitative understanding of the effect of MCO on the dynamics of COVID-19, this paper develops a class of mathematical models to capture the disease spread before and after MCO implementation in Malaysia. A heterogeneous variant of the Susceptible-Exposed-Infected-Recovered (SEIR) model is developed with additional compartments for asymptomatic transmission. Further, a change-point is incorporated to model disease dynamics before and after intervention which is inferred based on data. Related statistical analyses for inference are developed in a Bayesian framework and are able to provide quantitative assessments of (1) the impact of the Sri Petaling gathering, and (2) the extent of decreasing transmission during the MCO period. The analysis here also quantitatively demonstrates how quickly transmission rates fall under effective NPI implementation within a short time period. The models and methodology used provided important insights into the nature of local transmissions to decision makers in the Ministry of Health, Malaysia.

Indexed as

EpidemicsModels, BiologicalSARS-CoV-2COVID-19HumansMalaysiaQuarantine

Identifiers

PMID34043676
PMCPMC8158983
OpenAlexW3164165053

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.