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原文連結
論文資訊
- 類型：已發表論文
- 日期：2025-02-21
摘要
The SARS-CoV-2 病毒 is primarily transmitted through in-person interactions, and so its growth in 城市 space is a complex function of human mobility behaviors that cannot be adequately explained by standard 流行病學ological models. Recent studies leveraged fine-grained 城市 mobility data to accurately model the viral spread, but such data pose privacy concerns and are often difficult to collect, especially in low- and middle-income countries (LMICs). Here, we show that the meta族群 流行病學ological model incorporated with a simple gravity mobility model can be sufficient to capture most of the complex 流行病學c dynamics in 城市 space, largely reducing the need for empirical mobility data. Extensive experiments on 30 cities in the United States, India and Brazil show that our model consistently reproduces comple
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