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Public Health Measures in Managing COVID-19 At Seksyen 6 Bandar Baru Bangi

Authors: Aniz Nor Sofia Mohamed; Norfazillah Binti Ab Manan; Hadita Binti Sapari; Muhammad Akram Bin Abd Kadir; Hafizan Abd Hadi; Farahana Binti Muhammad Pilus; Wan Ming Keong; +2 Authors

Public Health Measures in Managing COVID-19 At Seksyen 6 Bandar Baru Bangi

Abstract

Introduction COVID-19 is an infectious disease caused by a novel coronavirus, a type of virus known to cause respiratory infections in humans. It cause a significant threat to public health. Hulu Langat District Health Office has the highest number of confirmed cases of COVID-19 in Selangor. Until 15th August 2020, Hulu Langat District Health Office received 20,500 notifications with 634 confirmed cases. Two notifications of positive COVID-19 infection were received by Hulu Langat District Heath Office on 20th March 2020. Subsequently, Rapid Assesment Team (RAT) and Rapid Response Team (RRT) was mobilized to investigate the outbreak and implementing a control measure. The objective of this study is to describe sociodemographic characteristic ans public health measures for a cluster in Seksyen 6 Bandar Baru Bangi. Material and Methods A retrospective cross-sectional study was carried out. Data from Active Case Detection and Passive Case Detection was collected from 20th March 2020 - 16th May 2020 which involves all positive COVID-19 cases in Puncak Bangi and Bangi Lake Villa that were tested with RT PCR. Demographic, risk factors, clinical manifestations, were analysed using SPSS Version 25. Results [Refer to Poster]. Discussion Rapid interagency collaboration in response has significantly helps in breaking the chain of transmission Seksyen 6 Bandar Baru Bangi. Public health measures were effective that no further cases notified after two incubation period.

Keywords

Coronavirus, COVID-19, Public Health, Measures, Bandar Baru Bangi, Managing, Seksyen 6

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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