4.3 Article

Lessons learned from three Southeast Asian countries during the COVID-19 pandemic

Journal

JOURNAL OF POLICY MODELING
Volume 43, Issue 6, Pages 1354-1364

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jpolmod.2021.09.002

Keywords

Coronavirus; Singapore; Malaysia; Indonesia; Southeast Asia; COVID-19; SEIR model

Categories

Ask authors/readers for more resources

Malaysia managed to reduce coronavirus transmission through national lockdown despite low testing capacity, Singapore successfully contained the virus with lockdowns and better healthcare system, while Indonesia struggled due to partial lockdowns.
Several scholars have focused on the COVID-19 case studies in Europe and USA, leaving the people in Southeast Asia with little information about the lesson learned from their own case studies. This study aims to analyses case studies through the SEIR model in three Southeast Asia countries including Singapore, Malaysia, and Indonesia. The SEIR model incorporates two types measures including social behavior and lockdowns as well as hospital preparedness. The SEIR model reveals that Malaysia, despite its relatively low testing capacity but with the application of the national lockdown, can slash the coronavirus transmission while Indonesia has still struggled to contain the COVID-19 flow owing to partial lockdowns. Singapore, at one hand, can successfully contain the coronavirus due to the national lockdowns, and the better healthcare system. With this point in mind, it is not surprising that Singapore has very low fatality rates and signifi-cantly low cases after lockdowns. Better preparedness lockdowns, and sufficient testing capacity are keys to controlling the COVID-19 flow, especially if the development of vaccines or distribution of respective vaccines is under progress. (c) 2021 The Society for Policy Modeling. Published by Elsevier Inc. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available