A systems view of responding to the Covid‐19 pandemic
A causal loop model for Taiwan's approach
Bibliographic Data
| ID | 21651903 |
|---|---|
| Authors | Chih‐Tung Hsiao (Department of Economics Tunghai University Taichung City Taiwan), Chun‐Cheng Chen (Department of Business Administration National Central University Taoyuan City Taiwan), Lee-Kai Lin (0000-0002-8161-755X), Chung‐Shu Liu (Department of Economics Tunghai University Taichung City Taiwan) |
| Year | 2023 |
| Volume | 40 |
| Issue | 1 |
| Pages | 194-206 |
| Publication date | 2023-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Systems Research and Behavioral Science (JOURNAL) |
| Journal identifiers | ISSN: 1092-7026 • E-ISSN: 1099-1743 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/sres.2831 |
| OpenAlex | W4205629999 |
| Language | EN |
| Citations received | 3 |
| References cited | 35 |
Since the worldwide outbreak of the COVID‐19 pandemic in December 2019, Taiwan has successfully stopped the spread of COVID‐19. The policies and works of the epidemic control are a complex and dynamic process. This study applied the methodology of system dynamics to explore the structure of the COVID‐19 epidemic control system in Taiwan and analysed its system behaviours. The results show that the system is composed of key subsystems, such as national health insurance and quarantine, combined with government policies. Joint efforts among the central and local governments and the general public have been made to strengthen the quarantine of border entrants, encourage the public to wear masks and employ technology for contact tracing and tracking down those being tested positive with COVID‐19. Together with the efficient increase in the capacity of testing and medical treatments, these measures can effectively reach a balance between epidemic control and economic activities
Business · Causal loop diagram · Contact tracing · Economic growth · Economics · Pandemic · Public health · Quarantine · System dynamics · Computer Science · COVID-19 epidemiological studies · Disaster Management and Resilience · Influenza Virus Research Studies · Medicine · Artificial Intelligence
| Citations per year | 1 |
|---|---|
| Citation span | 2023 - 2025 (3) |
| Highly cited | No |