Dynamical Analysis of Universal Masking on the Pandemic
Bibliographic Data
| ID | 15514255 |
|---|---|
| Authors | Brandon Kaiheng Tay (0000-0001-6056-3751, Singapore University of Technology and Design), Carvalho Andrea Roby (Singapore University of Technology and Design), Jodi Wenjiang Wu (Singapore University of Technology and Design), Da Yang Tan (0000-0002-4824-1060, Singapore University of Technology and Design, corresponding author) |
| Year | 2021 |
| Volume | 18 |
| Issue | 17 |
| Pages | 9027-9027 |
| Publication date | 2021-08-27 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph18179027 |
| PMID | 34501616 |
| OpenAlex | W3197534486 |
| Language | EN |
| Citations received | 2 |
| References cited | 23 |
We investigate the impact of the delay in compulsory mask wearing on the spread of COVID-19 in the community, set in the Singapore context. By using modified SEIR-based compartmental models, we focus on macroscopic population-level analysis of the relationships between the delay in compulsory mask wearing and the maximum infection, through a series of scenario-based analysis. Our analysis suggests that collective masking can meaningfully reduce the transmission of COVID-19 in the community, but only if implemented within a critical time window of approximately before 80-100 days delay after the first infection is detected, coupled with strict enforcement to ensure compliance throughout the duration. We also identify a delay threshold of about 100 days that results in masking enforcement having little significant impact on the Maximum Infected Values. The results therefore highlight the necessity for rapid implementation of compulsory mask wearing to curb the spread of the pandemic
Context (archaeology · Coronavirus disease 2019 (COVID-19 · Duration (music · Enforcement · Environmental health · Geography · Masking (illustration · Pandemic · Physics · Political science · Population · Set (abstract data type · Telecommunications · Transmission (telecommunications · Computer Science · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Infection Control and Ventilation · Medicine
| Citations per year | 0.4 |
|---|---|
| Citation span | 2021 - 2021 (1) |
| Highly cited | No |