COVID-19 Clusters in Malaysia

Mansor, Zawiah; Mokhtar, Siti Aisah

doi:10.2991/ahsr.k.220108.002

Cited by 3 publications

(6 citation statements)

References 6 publications

(6 reference statements)

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“…Besides, 6175 out of 7328 (or 84%) locations visited by COVID-19 patients in our extracted dataset fall under category of workplace and this is clearly depicted in Figure 6(a). This agrees with the finding that the workplace clusters represent the highest percentage of all clusters in Malaysia [28] and disease prevention measures have to be targeted on high-risk areas such as the workplace. It is also worth mentioning that the exposed locations listed under a division might go beyond the administrative boundary of that division, as depicted by several points outside Kuching Division in Figure 6(a).…”

Section: Results Of Geospatial Statistical Analysissupporting

confidence: 90%

Geo-visualization of Sarawak COVID-19 Publicly Available Data Employing Open-source Geospatial Software

Phang¹,

Yap²,

Zakaria³

et al. 2023

ujph

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The state government of Sarawak with the help of the Sarawak Disaster Management Committee (SDMC) has continuously made the updated information on the state COVID-19 situation and its ensuing control measures available to general public in the form of daily press statements. However, these statements are merely providing textual information on daily basis though the data are in fact rich in temporal and spatial properties. Since the onset of COVID-19 pandemic, spatiotemporal analysis becomes the key element to better understand the spread of COVID-19 in various spatial levels worldwide. Hence, there is an urgent need to convert this textual information into more valuable insights by applying geo-visualization techniques and geospatial statistics. The paper demonstrates the prospect of retrieving geospatial data from publicly available document to locate, map and analyze the spread of COVID-19 up to division level of Sarawak. Specifically, map visualization and geospatial statistical analysis are performed for the list of exposed locations, which are indeed locations visited by COVID-19 patients prior to being tested positive in Kuching division, using open-source geospatial software QGIS. It is found that these exposed locations concentrate on the build-up areas in the division and are in south-west to north-east direction of the center of Kuching in September and October 2021. Despite the number of exposed locations published is relatively small compared to the number of confirmed cases reported, both are nearly strongly correlated. The insights gained from such geospatial analysis may assist the local public health authorities to impose applicable disease control interventions at division level.

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Section: Results Of Geospatial Statistical Analysissupporting

confidence: 90%

Geo-visualization of Sarawak COVID-19 Publicly Available Data Employing Open-source Geospatial Software

Phang¹,

Yap²,

Zakaria³

et al. 2023

ujph

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“…The isolated conditions in custodial settings may also explain the relatively higher test positivity rate among clusters in these settings, as all suspected cases within the settings were screened. ( 11 ) Malaysia implemented several mitigation measures to reduce and contain the spread of COVID-19 within custodial settings, including setting up temporary detention centres, treatment centres in prisons and makeshift hospitals. ( 24 ) All new inmates were screened and isolated, if necessary, before being transferred to a permanent cell.…”

Section: Discussionmentioning

confidence: 99%

“…This is because comorbidities increase the risk of complications and death. 11 The analysis of detection methods showed that targeted screening was the most common detection method for custodial settings, and imported and workplace clusters. Symptomatic screening was the predominant method used for detecting cases in the community, in educational institutions and among high-risk groups.…”

Section: Discussionmentioning

confidence: 99%

“…Understanding the characteristics of the different categories is critical to ensuring that policy-makers can tailor preventive measures – such as vaccination programmes, targeted screening, and health promotion and education programmes – to contain the clusters of cases stage. ( 6 , 11 ) Knowing the origin of a cluster and how the infection was transmitted facilitates the selection of mitigation measures. It also serves as a learning point to strengthen the health system to respond to future outbreaks.…”

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confidence: 99%

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

Ang,

Balqis-Ali,

Jailani

et al. 2023

WPSAR

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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.

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“…Selangor was the state most affected by the COVID-19 pandemic. According to the number of new COVID-19 cases reported daily by the Ministry of Health (MOH) for the months of January and February 2022, Selangor was the state with the highest number of new cases (17,18). By December 2022, Selangor still had the third highest number of COVID-19 cases per 1000 people (19).…”

Section: Study Setting and Samplementioning

confidence: 99%

Quality of Sleep and Associated Factors Among Healthcare Providers During Covid-19 in Malaysia: A Web-based Cross-sectional Study

Ching,

Ismail,

Cheong

et al. 2023

MJMHS

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Introduction: COVID-19 has placed enormous strain on healthcare providers (HCPs). This study aimed to determine the quality of sleep (QoS), and associated factors, of HCPs in primary care clinics during the COVID-19 pandemic. Methods: This was a web-based cross-sectional study of HCPs from 30 primary care clinics in Malaysia. QoS was assessed using a validated single-item scale, and the response ranged from 0 (poor) to 10 (excellent). SPSS version 26 was used for the analysis. Results: Our study included 1280 respondents. The mean QoS score was 6.725 = 1.961. One demographic factor that was positively associated with QoS was age. Having one workplace, nurse, medical assistant, medical laboratory technician (or healthcare assistant compared to being a driver, were also significantly positively associated with QoS. Personality factors that were significantly positively associated with QoS were HCPs’ abilities to cope with work stress and be altruistic. There were negative correlations between QoS and being a male HCP, concern about COVID-19 mortality and perceived risk of exposure to COVID-19. Conclusion: HCPs with clinical roles who were older, had a single workplace, were altruistic and could cope with work stress had better QoS. To maintain the QoS of HCPs, healthcare organisations should promote regular activities supporting the staffs’ mental health and encourage compassion for the organisation and an altruistic work culture, especially among younger employees.

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COVID-19 Clusters in Malaysia

Cited by 3 publications

References 6 publications

Geo-visualization of Sarawak COVID-19 Publicly Available Data Employing Open-source Geospatial Software

Geo-visualization of Sarawak COVID-19 Publicly Available Data Employing Open-source Geospatial Software

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

Quality of Sleep and Associated Factors Among Healthcare Providers During Covid-19 in Malaysia: A Web-based Cross-sectional Study

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