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      COVID-19 INDUSTRIAL CLUSTER IN JOHOR, MALAYSIA

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            Abstract

            The Covid-19 pandemic is a global issue that has disrupted supply chains and slowed the global economy. Daily news of escalating illnesses and deaths generate public worry and force manufacturing sectors to adopt the required precautions to help prevent the disease. Over the last year, high-density workplaces have been linked to a higher risk of transmission of COVID-19. The case study is focused on Persiaran Agas Cluster which was related to a Factory in Johor, Malaysia. The objective of this study is to describe the prevalence and contributing factors of Covid-19 cluster in the Factory at Johor. A cross-sectional study was conducted in a factory with the secondary data source from E notification and Covid-19-line listing of Johor between 1 st July 2021 and 31th July 2021. Descriptive analysis was used study period July to August 2021. Out of 531 positive cases, 54% were Male and 46% were Female. 91% of the positive cases were identified via close contact surveillance, 3% were symptomatic surveillance, 5% were targeted surveillance and 2% were workplace surveillance. There were several issues identified in the factory during risk assessment by the district health office. The gathering of staff occurs during rest periods, smoking sessions and during prayers. No limitation of staff practised during toilet usage. Poor gatekeeping were practised. In conclusion, every industry company should create a health and safety plan based on a combination of preventative measures. Employers must take proactive actions to limit workplace risk to the lowest reasonably feasible level.

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            Author and article information

            Journal
            ScienceOpen Posters
            ScienceOpen
            24 June 2022
            Affiliations
            [1 ] Johor State Health Department Public Health Division, Malaysia
            Author notes
            Author information
            https://orcid.org/0000-0002-2942-2528
            https://orcid.org/0000-0001-6669-1850
            https://orcid.org/0000-0002-8805-1106
            https://orcid.org/0000-0001-5851-7887
            Article
            10.14293/S2199-1006.1.SOR-.PPIRLBO.v1
            124c78b9-9e65-4b83-a408-6c41b0cd560c

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

            History
            : 24 June 2022

            All data generated or analysed during this study are included in this published article (and its supplementary information files).
            Medicine,Statistics
            covid-19,Industry,Cluster,Safety

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