2020/05/15 by Alan Wilson, Wilson, Alan
Economics, Econometrics and Finance · Environmental Science · Mathematics · #COVID-19 epidemiological studies #FOS: Biological sciences #FOS: Physical sciences #Land Use and Ecosystem Services #Physics and Society (physics.soc-ph) #Populations and Evolution (q-bio.PE) #Spatial and Panel Data Analysis
paper · pdf · doi:10.48550/arxiv.2005.07673
openalex publication_date 2020/05/15 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Most epidemic models are spatially aggregate and the index which is most used for planning and policy numbers, the r number, typically refers to a single system of interest. Even if r numbers are calculated for each of adjacent areas, regions or countries for example, there is no interaction between them. Here we aim to offer a fine-grained geography: models of epidemics in spatially disaggregated systems with interactions. This offers the possibility of new insights into the dynamics of epidemics and of policies aimed at mitigation and control.