SCHOOL RE-OPENING SIMULATIONS WITH COVID-19 AGENT-BASED MODEL FOR QUEZON CITY, PHILIPPINES
The COVID-19 pandemic prompted schools to close in 2020, and with its negative impact on the quality of learning, the conversation shifts to the re-opening scenarios. In this study, we coupled a COVID-19 agent-based model (ABM) with social contact probabilities from pre-pandemic estimates. We then s...
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| Autores principales: | , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Copernicus Publications
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/b98ec0f4825448309797c55108e14ea1 |
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| Sumario: | The COVID-19 pandemic prompted schools to close in 2020, and with its negative impact on the quality of learning, the conversation shifts to the re-opening scenarios. In this study, we coupled a COVID-19 agent-based model (ABM) with social contact probabilities from pre-pandemic estimates. We then simulated school re-opening and vaccination scenarios in Quezon City, Philippines using our ABM. Our toy simulations suggest that the city could already re-open schools with 50% vaccination coverage. However, we suggest that students shall be vaccinated first, mask-wearing and physical distance shall be strictly observed, and schools shall only be re-opened by 25% as a precaution. Policymakers may take insights from the study. |
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