Browse where type is Software and year is 2020

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Number of items: 59.

Data Collection

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

This list was generated on Sun Nov 17 02:36:54 2024 GMT.