Page 10 - NIH Bulletin Vol. 16 December 2020
P. 10

Bulletin National Institutes of Health, Malaysia  Vol 16 • 2020




















                  DATA MANAGEMENT

                  OF COVID-19 CASES IN

                  SELANGOR STATE HEALTH

                  DEPARTMENT



                  COVID-19 has rapidly spread across the globe since its first reported
                  case in late 2019. In Malaysia, till 12 May 2020, there were 6,726 cases
                  recorded with 109 deaths reported (1.62% mortality rate – lower than
                  worldwide mortality rate). The Malaysian government had activated
                  initial Movement Control Order (MCO) on 18 March 2020 with
                  2-weekly extension till 12 May 2020, and then extended with 1-month
                  extension  till  9  June  2020,  considering  major  celebrations  among
                  Malaysian population in May 2020 including Wesak Day and Eidul Fitri.

                  Selangor  state  became  the  initial  epicenter  of  COVID-19  in  Malaysia
                  with the highest number of recorded cases, mostly from Petaling and
                  Hulu Langat districts, due to Executive Cluster and Sri Petaling Tabligh
                  Cluster.

                  Considering the rapid spread in Selangor area, a team from Institute
                  for Public Health (IPH), National Institutes of Health (NIH) Malaysia,
                  which was led by Dr. Shubash Shander and Dr. Chong Zhuo Lin (NIH
                  team) had offered to help on data management of COVID-19 cases
                  in Petaling District Health Office. The NIH team developed a data
                  capture system that enabled ongoing descriptive analysis of variables
                  of interest to assist local management of cases and clusters. All cases
                  and data reported were cleaned, and any discrepancy was verified with
                  the district health office, to ensure quality data.
                  Based on the collected data, the team produced the demographic
                  (nationality, sex, age, ethnicity) and clinical characteristics (symptoms
                  of the patients, co-morbidities, severity). The incubation period was
                  calculated and the epidemic curve plotted based on date of onset of
                  symptoms. This information was crucial to the district health office to
                  decide their strategies to contain the disease.
















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