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原文連結
論文資訊
- 類型：已發表論文
- 日期：2021
摘要
With the continued spread of corona病毒, the task of forecasting distinctive COVID-19 growth curves in different cities, which remain inadequately explained by standard 流行病學ological models, is critical for medical supply and treatment1,2. Predictions must take into account non-pharmaceutical interventions to slow the spread of corona病毒, including stay-at-home orders, 社會 distancing, quarantine and compulsory mask-wearing, leading to reductions in intra-city mobility and viral 傳播3. Moreover, recent work associating corona病毒 with human mobility4,5 and detailed movement data6,7 suggest the need to consider 城市 mobility in 疾病 forecasts8,9. Here we show that by incorporating intra- city mobility and policy adoption into a novel meta族群 SEIR model, we can accurately predict complex COVID-19 growth pa
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