Browse where type is Software and year is 2020
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Davies, NG (2020). nicholasdavies/covidm-alpha. [Data Collection]. Github. https://github.com/nicholasdavies/covidm-alpha
Fernandez, MAL, Zivich, P and Smith, MJ (2020). migariane/TutorialCausalInferenceEstimators: Computational Causal Inference for Applied Researchers. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4424912
Robert, A, Funk, S and Kucharski, AJ (2020). o2geosocial. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4317439
Besançon, L, Deforet, M, Leyrat, C, Segalas, C, Jiang, H and Masuzzo, P (2020). Open Science during the pandemic. [Data Collection]. OSF. https://osf.io/renxy/
Colbourn, T, Waites, W, Manheim, D, Sturniolo, S, Kerr, CC, Panovska-Griffiths, J and Colbourn, G (2020). ptti/ptti: Modelling the health and economic impacts of different testing and tracing strategies for COVID-19 in the UK. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4298798
Tazare, J (2020). johntaz/COVID-Collateral. [Data Collection]. Github. https://github.com/johntaz/COVID-Collateral
Masselot, P (2020). PierreMasselot/Sedimentation_analysis. [Data Collection]. Github. https://github.com/PierreMasselot/Sedimentation_analysis
Hellewell, J, Russell, TW, The SAFER Investigators and Field Study Team, The Crick COVID-19 Consortium, CMMID COVID-19 working group, Beale, R, Kelly, G, Houlihan, C, Nastouli, E and Kucharski, AJ (2020). cmmid/pcr-profile. [Data Collection]. Github. https://github.com/cmmid/pcr-profile
Gasparrini, A (2020). gasparrini/2019_vicedo-cabrera_Epidem_Rcodedata. [Data Collection]. Github. https://github.com/gasparrini/2019_vicedo-cabrera_Epidem_Rcodedata
Holt, KE, Lam, M and Wick, R (2020). Kleborate v2.0.0. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4923014
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
Page, AE, Emmott, EH and Myers, S (2020). Testing the buffering hypothesis: breastfeeding problems, cessation and social support. [Data Collection]. OSF. https://doi.org/10.17605/OSF.IO/74ERF
Clifford, S and Quilty, B (2020). cmmid/pcr_test_trace. [Data Collection]. Github. https://github.com/cmmid/pcr_test_trace
Checchi, F (2020). francescochecchi/aden_covid. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://github.com/francescochecchi/aden_covid
Sherratt, K (2020). epiforecasts/rt-comparison-uk-public: v1.0.0. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4029074
Thompson, J (2020). Comparison of small-sample standard-error corrections for generalised estimating equations in stepped wedge cluster randomised trials with a binary outcome: A simulation study. [Data Collection]. Zenodo. https://zenodo.org/10.5281/zenodo.4049828
Nash, S, Thompson, J and Leurent, B (2020). CLAN: Stata module to perform cluster-level analysis of cluster randomised trials. [Data Collection]. Statistical Software Components S458844, Boston College Department of Economics. https://ideas.repec.org/c/boc/bocode/s458844.html
Chapman, LAC (2020). LloydChapman/VLSpatiotemporalModelling. [Data Collection]. Github. https://github.com/LloydChapman/VLSpatiotemporalModelling
Yakob, L and Nightingale, E (2020). lwyakob/COVIDsaturates. [Data Collection]. Github. https://github.com/lwyakob/COVIDsaturates
Lopez-Bernal, J, Cummins, S and Gasparrini, A (2020). gasparrini/2017_lopezbernal_IJE_codedata. [Data Collection]. GitHub. http://www.ag-myresearch.com/2017_lopezbernal_ije.html
Liu, Y, Gong, W, Clifford, S, Sundaram, ME, CMMID COVID-19 Working Group, Jit, M, Flasche, S and Klepac, P (2020). yangclaraliu/covid_surveillance_strategy: WOR Submission. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4017353
Gibbs, H, Abbott, S and Funk, S (2020). RtD3. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4011841
Greener, R (2020). Machine learning methods to investigate segments of the British consumer food market and to predict weight status: Source code. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3992349
Tsang, KK (2020). karatsang/rulesbased_logisticregression. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3988479
Herrett, E (2020). emilyherrett/qrisk_cprd_gold: QRISK bundle version 2.0. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3981237
Sumner, T (2020). tomsumner/Latency_Model_Comparison_Public. [Data Collection]. Github. https://github.com/tomsumner/Latency_Model_Comparison_Public
Jombart, T, Nouvellet, P, Bhatia, S, Kamvar, ZN, Taylor, T and Ghozzi, S (2020). projections: Project Future Case Incidence. [Data Collection]. The Comprehensive R Archive Network. https://cran.r-project.org/package=projections
Scortichini, M, Schneider dos santos, R, De' Donato, De Sario, M, Michelozzi, P, Davoli, M, Masselot, P, Sera, F and Gasparrini, A (2020). gasparrini/ItalyCOVIDdeath. [Data Collection]. Github. https://github.com/gasparrini/ItalyCOVIDdeath
Clifford, S, Quilty, BJ, Russell, TW, Liu, Y, Chan, YD, Pearson, CAB, Eggo, RM, Endo, A, CMMID COVID-19 Working Group, Flasche, S and Edmunds, WJ (2020). cmmid/travel_screening_strategies. [Data Collection]. Github. https://github.com/cmmid/travel_screening_strategies
Russell, TW, Golding, N, Hellewell, J, Abbott, S, Pearson, CAB, Van zandvoort, K, Jarvis, CI, Gibbs, H, Liu, Y, Eggo, RM, Edmunds, WJ, Kucharski, AJ and CMMID COVID-19 working group (2020). Reconstructing the global dynamics of unreported COVID-19 cases and infections. [Data Collection]. Github. https://github.com/thimotei/covid_underreporting
Russell, TW, Wu, JT, Clifford, S, CMMID COVID-19 working group, Edmunds, WJ, Kucharski, AJ and Jit, M (2020). thimotei/covid_travel_restrictions. [Data Collection]. Github. https://github.com/thimotei/covid_travel_restrictions
Funk, S and Finger, F (2020). sbfnk/rbi.helpers. [Data Collection]. Github. https://github.com/sbfnk/rbi.helpers
Abbott, S and Endo, A (2020). idmodelr: Infectious Disease Model Library and Utilities. [Data Collection]. The Comprehensive R Archive Network. https://cran.r-project.org/package=idmodelr
Abbas, KM (2020). vaccine-impact/epi_covid. [Data Collection]. Github. https://github.com/vaccine-impact/epi_covid
Jombart, T and Schumacher, D (2020). trendbreaker 0.1.0: Detect Changes in Temporal Trends. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3888493
Quaife, M (2020). mquaife/kenya_mixing. [Data Collection]. Github. https://github.com/mquaife/kenya_mixing
Abbott, S, Sherratt, K, Funk, S and Hellewell, J (2020). epiforecasts/covid: Submission release. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3746396
Gibbs, H, CMMID nCov Working Group, Eggo, RM, Grundy, C and Kucharski, AJ (2020). UK Colocation Dashboard. [Data Collection]. Github. https://cmmid.github.io/colocation_dashboard_cmmid/
Jombart, T, Kamvar, ZN, Collins, C, Luštrik, R, Beugin, M, Knaus, BJ, Solymos, P, Mikryukov, V, Schliep, K, Maié, T, Morkovsky, L, Ahmed, I, Cori, A, Calboli, F, Ewing, R, Michaud, F, DeCamp, R and Courtiol, A (2020). adegenet: Exploratory Analysis of Genetic and Genomic Data. [Data Collection]. The Comprehensive R Archive Network. https://cran.r-project.org/web/packages/adegenet/
Abbott, S, Bosse, N, DeWitt, M, Rau, A, Chateigner, A, Mareschal, S and Hellewell, J (2020). epiforecasts/EpiSoon. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3746394
Abbott, S, Sherratt, K, Gibbs, H, Finger, F, Campbell, P, Hellewell, J, Barks, P, Meakin, S and Lee, H (2020). epiforecasts/NCoVUtils. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3635417
Shaver, J, Power, EA, Purzycki, BG, Shenk, MK, Bulbulia, JA, Sear, R, Sosis, R and Watts, J (2020). Religion, Cooperation, Fertility, and Child Outcomes. [Data Collection]. OSF. https://osf.io/4mt9y/
Flasche, S (2020). StefanFlasche/Pneumo_Trans_Inf. [Data Collection]. Github. https://github.com/StefanFlasche/Pneumo_Trans_Inf
Jombart, T, Clifford, S, Pearson, Carl A. B. Pearson, Rees, E, Nightingale, E, Procter, S and Knight, G (2020). thibautjombart/covid19_bed_occupancy: Second major release. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3746662
Endo, A, Abbott, S, Kucharski, AJ and Funk, S (2020). akira-endo/COVID19_clustersize: Estimating the amount of superspreading using outbreak sizes of COVID-19 outside China. [Data Collection]. Zenodo. http://doi.org/10.5281/zenodo.3741744
Davies, NG, Kucharski, AJ, Eggo, RM, Gimma, A, COVID-19 Working Group and Edmunds, WJ (2020). cmmid/covid-uk. [Data Collection]. Github. https://github.com/cmmid/covid-uk
Jombart, T, Abbott, S, Gimma, A, Van zandvoort, K and Jarvis, C (2020). Inferring COVID-19 cases from recent death. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3733046
Prem, K, Liu, Y, Russell, TW, Kucharski, AJ, Eggo, RM, Davies, NG, Jit, M, Klepac, P, Flasche, S, Clifford, S, Pearson, CAB, Munday, JD, Abbott, S, Gibbs, H, Rosello, A, Quilty, BJ, Jombart, T, Sun, F, Diamond, C, Gimma, A, Van zandvoort, K, Funk, S, Jarvis, CI, Edmunds, WJ, Bosse, NI and Hellewell, J (2020). Age-structured SEIR model for COVID-19 outbreak in Wuhan, China. [Data Collection]. Github. https://github.com/kieshaprem/covid19-agestructureSEIR-wuhan-social-distancing
Willem, L, Hoang, VT, Funk, S, Coletti, P, Beutels, P and Hens, N (2020). Social Contact Rates (SOCRATES) Data Tool. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3706787
Jombart, T, Abbott, S, Gimma, A, Zandvoort, K, Clifford, S, Jarvis, C, Russell, T, Funk, S, Gibbs, H, Eggo, RM, Kucharski, AJ, CMMID COVID-19 Working Group and Edmunds, WJ (2020). Inferring COVID-19 cases from deaths of confirmed cases. [Data Collection]. CMMID Repository. https://cmmid.github.io/visualisations/inferring-covid19-cases-from-deaths
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 (2020). cmmid/ringbp. [Data Collection]. Github. https://github.com/cmmid/ringbp
Parker, E (2020). Covid 2019 tracker. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://vac-lshtm.shinyapps.io/ncov_tracker/
Robert, A (2020). geosocial-outbreaker: Integrating geographical and social contact data to reconstruct transmission chains. [Data Collection]. Github. https://github.com/alxsrobert/o2geosocial
Keogh, R, Seaman, SR, Gran, JM and Vansteelandt, S (2020). Causal Sim code. [Data Collection]. Github. https://github.com/ruthkeogh/causal_sim
Willem, L, Xiao, L, Antillon, M, Bilcke, J, Jit, M and Beutels, P (2020). Multi-Country Model Application for RSV Cost-Effectiveness Policy (McMarcel). [Data Collection]. Zenodo. http://doi.org/10.5281/zenodo.3663447
Paradis, E, Kamvar, ZN, Jombart, T, Brian, K and Frederic, M (2020). pegas: Population and Evolutionary Genetics Analysis System. [Data Collection]. Zenodo. http://doi.org/10.5281/zenodo.3647668
Kucharski, AJ, Russell, TW, Diamond, C, CMMID nCoV working group, Funk, S and Eggo, RM (2020). Probability of a large 2019-nCoV outbreak following introduction of cases. [Data Collection]. Github. https://cmmid.github.io/visualisations/new-outbreak-probability
Clifford, S, Quilty, B, CMMID nCoV working group, Pearson, C, Flasche, S and Eggo, RM (2020). Effectiveness of airport-based interventions at detecting travellers and delaying an outbreak of COVID-19 (formerly 2019-nCoV). [Data Collection]. Github. https://github.com/cmmid/screening_outbreak_delay