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Group by: Data Creators(s) | Item Type | No Grouping
Jump to: A | E | H | M | P | Q
Number of items: 7.

A

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

E

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

H

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

M

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

P

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

Q

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

This list was generated on Sat Jun 22 02:30:18 2024 BST.