Browsing by Author "Muhammad Haikal Ghazali"
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- PublicationCluster of COVID-19 Cases in a Workplace: the First Cluster of a Workplace-related Outbreak in Malaysia, 2020(2022)
;Noor Aliza Lodz ;Chong Zhuo Lin ;Wan Shakira Rodzlan Hasani ;Noor Ani Ahmad ;Fazila Haryati Ahmad ;Halizah Mat Rifin ;Shubash Shander Ganapathy ;Nur Liana Ab Majid ;Nik Adilah Shahein ;Muhd Hafizuddin Taufik Ramli ;Zazarida Zakiman ;Salina Md Talib ;Lee Soo Cheng ;Rama Krishna Supramaniam ;Muhammad Haikal GhazaliMohamed Paid YusofIn the early stages of the COVID-19 crisis, there was no specific guideline for handling an outbreak if it occurred in a workplace. This study aimed to describe the first and one of the largest clusters linked to a business corporate in Malaysia. A descriptive analysis was conducted using surveillance data from the Petaling District Health Office notified between 28 Feb and 22 Mar 2020. All cases and contacts were identified through surveillance, epidemiological investigation, and laboratory investigation. The total number of confirmed cases and close contacts were 63 and 1,536, respectively. The respondents were mainly Malay, male, and the mean age was 46 years. Of the 63 positive cases, 48 (76%) were reported to have symptoms during the investigation, while the remaining 15 cases (24%) were asymptomatic. The main clinical manifestations were fever (52%), cough (37%), sore throat (27%) and shortness of breath (27%). The mean incubation period was 3.5 days. Due to the timely prevention and control measures carried out by the Petaling District Health Office, the chain of transmission was interrupted as the last case was reported on 19 Mar 2020. - PublicationComorbidities and clinical features related to severe outcomes among COVID-19 cases in Selangor, Malaysia(2021)
;Wan Shakira Rodzlan Hasani ;Shubash Shander Ganapathy ;Chong Zhuo Lin ;Halizah Mat Rifin ;Mohammad Nazaruddin Bahari ;Muhammad Haikal Ghazali ;Noor Aliza Lodz ;Muhammad Hafizuddin Taufik Ramli ;Nur Liana Ab Majid ;Jane Ling Miaw Yn ;Muhammad Fadhli Mohd Yusoff ;Noor Ani Ahmad ;Anita Suleiman ;Ahmad Faudzi Yusoff ;Venugopalan BalanSha'ari NgadimanBackground: Pre-existing comorbidities are predictive of severe COVID-19 infection requiring intubation and mechanical ventilation. This study determined comorbidity and additional predictive factors for invasive ventilatory support among Malaysian COVID-19 patients. Method: Field data collected during COVID-19 outbreak in Selangor, Malaysia up to 13th April 2020 were used. It contained sociodemographic characteristics, comorbidities, and presenting symptoms of COVID-19 cases. Their medical records were traced for information on intensive care unit admission requiring intubation and mechanical ventilation. Results: A total of 1,287 COVID-19 positive cases were included in the analysis. The most common comorbidities among COVID-19 patients were hypertension (15.5%) and diabetes (11.0%). More than one third of symptomatic patients presented with fever (43.8) and cough (37.1%). Among all 25 intubated cases, 68.0% had hypertension, 88.0% had fever, 40.0% had dyspnoea and 44.0% was lethargic. Multivariable regression model showed that the odds of being intubated among COVID-19 patients were significantly higher among older person (aged ?60 years) [adjusted odd ratio (aOR=3.9)], those who had hypertension (aOR =5.7), presented with fever (aOR=9.8), dyspnoea (aOR=9.6), and lethargy (aOR = 7.9). Conclusion: Old age, hypertension, and several presenting symptoms were strong risk factors for invasive ventilatory support among COVID-19 patients. They must be diagnosed early and monitored closely to improve clinical outcome.