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Group by: Data Creators(s) | Item Type | No Grouping
Number of items: 7.

Data Collection

Abbott, S and Fyles, M (2021). martyn1fyles/HouseholdContactTracing. [Data Collection]. Github. https://github.com/martyn1fyles/HouseholdContactTracing

Endo, A and Kucharski, AJ (2020). akira-endo/COVID19_backwardtracing. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4050267

Hellewell, J, Abbott, S, Gimma, A, Bosse, N, Jarvis, C, Russell, T, Munday, J, Kucharski, A, Edmunds, WJ, Funk, S, Eggo, R, Sun, F, Flasche, S, Quilty, B, Davies, N, Liu, Y, Clifford, S, Klepac, P, Jit, M, Diamond, C, Gibbs, H and Van Zandvoort, K (2020). Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts. [Data Collection]. Github. https://github.com/cmmid/ringbp/

Hellewell, J, Lucas, T, Davis, E, Abbott, S, Gimma, A and Thompson, R (2020). timcdlucas/ringbp: Code as used in the paper "Engagement and adherence trade-offs for SARS-CoV-2 contact tracing". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4221774

Marshall, G, Skeva, R, Jay, C and Fearon, E (2022). Interview summary data supporting "Public involvement in pandemic modelling: a qualitative study of Test, Trace and Isolate practices in the UK and implications for modelling". [Data Collection]. Zenodo. https://doi.org/10.6084/m9.figshare.15067119.v2

Pung, R, Clapham, HE, Russell, TW, Lee, VJ and Kucharski, AJ (2023). Relative role of border restrictions, case finding and contact tracing in controlling SARS-CoV-2 in the presence of undetected transmission: a mathematical modelling study. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7538040

Quilty, B (2021). cmmid/quar_test_contact_tracing. [Data Collection]. Github. https://github.com/cmmid/quar_test_contact_tracing

This list was generated on Mon Nov 4 02:32:37 2024 GMT.