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原文連結
論文資訊
- 類型：已發表論文
- 日期：2022-01-27
摘要
We aim to identify those measures that effectively control the spread of SARS-CoV-2 in Austrian schools. Using cluster tracing data we calibrate an 智能體-based 流行病學ological model and consider situations where the B1.617.2 (delta) 病毒 strain is dominant and parts of the 族群 are vaccinated to quantify the impact of non-pharmaceutical interventions (NPIs) such as room ventilation, reduction of class size, wearing of masks during lessons, 疫苗接種s, and school entry testing by SARS-CoV2-antigen tests. In the data we find that 40% of all clusters involved no more than two cases, and 3% of the clusters only had more than 20 cases. The model shows that combinations of NPIs together with 疫苗接種s are necessary to allow for a controlled opening of schools under sustained community 傳播 of the SARS-CoV-2 delta v
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