Evidence map›Paper›PMID 38230253›Full record

ArticleWestern Pacific surveillance and response journal : WPSAR

COVID-19 clusters in Malaysia: characteristics, detection methods and modes of early transmission.

Zen Yang Ang, Nur Zahirah Balqis-Ali, Anis-Syakira Jailani, Yuke-Lin Kong, Shakirah Md Sharif, Weng Hong Fun

Abstract read
In one paragraph

Article in Western Pacific surveillance and response journal : WPSAR. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing 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.

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Zen Yang AngInstitute for Health Systems Research, National Institutes of Health, Ministry of Health, Selangor, Malaysia.
Nur Zahirah Balqis-AliInstitute for Health Systems Research, National Institutes of Health, Ministry of Health, Selangor, Malaysia.
Anis-Syakira JailaniInstitute for Health Systems Research, National Institutes of Health, Ministry of Health, Selangor, Malaysia.
Yuke-Lin KongInstitute for Health Systems Research, National Institutes of Health, Ministry of Health, Selangor, Malaysia.
Shakirah Md SharifInstitute for Health Systems Research, National Institutes of Health, Ministry of Health, Selangor, Malaysia.
Weng Hong FunInstitute for Health Systems Research, National Institutes of Health, Ministry of Health, Selangor, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Effective prevention and control measures are essential to contain outbreaks of infectious diseases, such as coronavirus disease (COVID-19). Understanding the characteristics of case clusters can contribute to determining which prevention and control measures are needed. This study describes the characteristics of COVID-19 case clusters in Malaysia, the method used to detect a cluster's index case and the mode of early transmission, using the seven cluster categories applied in Malaysia. Methods: This cross-sectional study collected publicly available data on COVID-19 clusters occurring in Malaysia from 1 March 2020 to 31 May 2021. The characteristics of cases were described by category, and their associations with several outcomes were analysed. Descriptive analyses were performed to explore the method used to detect the index case and the mode of early transmission, according to cluster category. Results: A total of 2188 clusters were identified. The workplace cluster category had the largest proportion of clusters (51.5%, 1126/2188 clusters), while the custodial settings category had the largest median cluster size (178 cases per cluster) and longest median duration of cluster (51 days). The high-risk groups category had the highest mortality. There were significant differences in cluster size, duration and rate of detection across the categories. Targeted screening was most commonly used to detect index cases, especially in custodial settings, and in imported and workplace clusters. Household-social and social-workplace contacts were the most common modes of early transmission across most categories. Discussion: Targeted screening might effectively reduce the size and duration of COVID-19 clusters. Measures to prevent and control COVID-19 outbreaks should be continually adjusted based on ongoing assessments of the unique context of each cluster.

Indexed as

COVID-19Cross-Sectional StudiesDisease OutbreaksHumansMalaysiaSARS-CoV-2

Identifiers

PMID38230253
PMCPMC10789722

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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.