How Do Southeast Asia Countries Respond and Mitigate to Novel Coronavirus Pandemic? A Lesson From Malaysia

Radzi, Siti Fairuz Mohd; Hassan, Mohd Sayuti; Radzi, Muhammad Abdul Hadi Mohd

doi:10.1177/1010539520962970

Cited by 5 publications

(4 citation statements)

References 9 publications

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“…The public health response between March and May 2020 was largely considered to be successful in reducing incidence within Malaysia. [33][34][35][36] However, a total of 562,938 cases have been reported since 6 September 2020. This outbreak of infections was initially triggered by a series of outbreaks amongst institutionalised and incarcerated populations in Sabah.…”

Section: The Malaysian Response From March 2020 To May 2021mentioning

confidence: 99%

The Epidemiology of COVID-19 in Malaysia

Jayaraj

Rampal

et al. 2021

The Lancet Regional Health - Western Pacific

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Background: COVID-19 has rapidly spread across the globe. Critical to the control of COVID-19 is the characterisation of its epidemiology. Despite this, there has been a paucity of evidence from many parts of the world, including Malaysia. We aim to describe the epidemiology of COVID-19 in Malaysia to inform prevention and control policies better. Methods: Malaysian COVID-19 data was extracted from 16 March 2020 up to 31 May 2021. We estimated the following epidemiological indicators: 7-day incidence rates, 7-day mortality rates, case fatality rates, test positive ratios, testing rates and the time-varying reproduction number (Rt). Findings: Between 16 March 2020 and 31 May 2021, Malaysia has reported 571,901 cases and 2,796 deaths. Malaysia's average 7-day incidence rate was 26 • 6 reported infections per 10 0,0 0 0 population (95% CI: 17 • 8, 38 • 1). The average test positive ratio and testing rate were 4 • 3% (95% CI: 1 • 6, 10 • 2) and 0 • 8 tests per 1,0 0 0 population (95% CI: < 0 • 1, 3 • 7), respectively. The case fatality rates (CFR) was 0 • 6% (95% CI: < 0 • 1, 3 • 7). Among the 2,796 cases who died, 87 • 3% were ≥ 50 years. Interpretation: The public health response was successful in the suppression of COVID-19 transmission or the first half of 2020. However, a state election and outbreaks in institutionalised populations have been the catalyst for more significant community propagation. This rising community transmission has continued in 2021, leading to increased incidence and strained healthcare systems. Calibrating NPI based on epidemiological indicators remain critical for us to live with the virus. (243 words) Funding: This study is part of the COVID-19 Epidemiological Analysis and Strategies (CEASe) Project with funding from the Ministry of Science, Technology and Innovation (UM.0 0 0 0245/HGA.GV).

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Section: The Malaysian Response From March 2020 To May 2021mentioning

confidence: 99%

The Epidemiology of COVID-19 in Malaysia

Jayaraj

Rampal

et al. 2021

The Lancet Regional Health - Western Pacific

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“…This is due to the rapid rise in the number of infected cases from one-digit to two-digit numbers [23]. This rise is often contributed by travelers coming from outside the country who did not abide by the decision to homequarantine [24]. Therefore, the authorities had to place these travelers in designated quarantine centers [25], in order to ensure that they do not mix with their relatives and the public [26].…”

Section: Travel Restrictionmentioning

confidence: 99%

COVID-19 Tracking Applications Acceptance among General Populace: An Overview in Malaysia

et al. 2023

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The COVID-19 pandemic forced governments to implement strategies for contact tracing due to the disease’s ease of spread. The Malaysian government has sought to develop and implement a digital contact-tracking application to make it easier and faster to detect the spread; the system has become an integral part of the exit strategy from mandated lockdowns. These applications keep track of the user’s proximity with others who are in the system to inform them early on if they are at a risk of infection. The effectiveness of these applications depends on the willingness of users to install and allow the application to track their location at all times. Therefore, this research aims to identify the factors that would stimulate or slow down the adoption of contact-tracing apps.

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“…To assess the study hypotheses, the structural model uses the PLS technique to estimate the path coefficients, t-statistics, standard errors, and R 2 The route coefficients indicated the strength and direction of the relationships, while the t-statistics and standard errors indicated the magnitude of the effect. The R 2 value indicated the amount of variance explained.…”

Section: Structural Model Significance Assessmentmentioning

confidence: 99%

“…Cases have increased unexpectedly since the first detection of this epidemic. Government and health authorities have tried to mobilize all health and safety measures to alleviate the spread of the epidemic, including hand washing, wearing masks, social distancing, and lockdown [2]. Traditional measures in the field of public health may not be enough to avoid the spread of the virus in a population, in the long term, which requires more effective preventive measures [3].…”

Section: Introductionmentioning

confidence: 99%

Extending the Unified Theory of Acceptance and Use of Technology for COVID-19 Contact Tracing Application by Malaysian Users

2022

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The Malaysian government has mobilized its strength to confront the current COVID-19 pandemic and has sought to develop and implement a digital contact tracking application, making it an integral part of the exit strategy from the lockdown. These applications record which users have been near one another. When a user is confirmed with COVID-19, app users who have recently been near this person are notified. The effectiveness of these applications is determined by the users’ willingness to install and use them. Therefore, this research aims at identifying the factors that would stimulate or slow down the adoption of a contact-tracing app. It proposes solutions to mitigate the impact of the factors affecting the user’s acceptance of COVID-19 Digital Contact Tracing Apps. A quantitative approach was followed in this research, where an electronic survey was spread in Malaysia, for the objective of data collection, considering the previous discussion of the results. Then, using PLS-SEM, the collected data were analyzed statistically. The findings of this study indicate that the unified theory of acceptance and use of technology (UTAUT) factors (Performance Expectancy, Effort Expectancy, Social Influence, Facilities Condition) were significant predictors of MySejahtera application adoption among citizens in Malaysia. On the other hand, the factors of app-related privacy concern were found to be insignificant for MySejahtera application adoption.

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How Do Southeast Asia Countries Respond and Mitigate to Novel Coronavirus Pandemic? A Lesson From Malaysia

Cited by 5 publications

References 9 publications

The Epidemiology of COVID-19 in Malaysia

The Epidemiology of COVID-19 in Malaysia

COVID-19 Tracking Applications Acceptance among General Populace: An Overview in Malaysia

Extending the Unified Theory of Acceptance and Use of Technology for COVID-19 Contact Tracing Application by Malaysian Users

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