PatchFlow is a set of precalculated networks for simulating the metapopulation SEIR model at a global level. For the current version, using openly available datasets on population sizes [1] at the resolution of administrative regions (admin2 and admin3) [2] and age mixing matices [3], we construct country specific mobility networks based on a radiational model [4,5]. These networks are constructed to be compatible with open source metapopulation simulation engine, PatchSim [6].

This project is supported by the National Science Foundation under the NSF RAPID: COVID-19 Response Support: Building Synthetic Multi-scale Networks (PI: Madhav Marathe, Co-PIs: Henning Mortveit, Srinivasan Venkatramanan; Fund Number: OAC-2027541).

Relevant resources / literature

1. GPW, https://sedac.ciesin.columbia.edu/data/set/gpw-v4-admin-unit-center-points-population-estimates-rev11, used under CC BY 4.0 license.
2. GADM, https://gadm.org/
3. Prem K, Cook AR, Jit M "Projecting social contact matrices in 152 countries using contact surveys and demographic data". PLOS Computational Biology 2019; 13(9): e1005697.
4. Simini, F, et al. "A universal model for mobility and migration patterns." Nature 484.7392 (2012): 96-100
5. scikit-mobility, https://github.com/scikit-mobility/scikit-mobility, Pappalardo, L, et al. "scikit-mobility: a Python library for the analysis, generation and risk assessment of mobility data", 2019, https://arxiv.org/abs/1907.07062
6. PatchSim, https://github.com/NSSAC/patchsim, Venkatramanan S, et al. "Optimizing spatial allocation of seasonal influenza vaccine under temporal constraints" PLoS Computational Biology, 2019 Sep 16;15(9):e1007111.