Browse where type is Software and year is 2022
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Data Collection
Weerasuriya, C and Clark, R (2022). lshtm-tbmg/tbvax-pub. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6421372
Parker, E and Horne, E (2022). opensafely/ckd-coverage-ve. [Data Collection]. Github. https://github.com/opensafely/ckd-coverage-ve
Keddie, S (2022). shk313/diagnostic-test-metaanalysis/CrAg. [Data Collection]. GitHub. https://github.com/shk313/diagnostic-test-metaanalysis/tree/main/CrAg
Simons, D (2022). DidDrog11/scoping_review. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4718374
Bosse, N, Abbott, S and Funk, S (2022). epiforecasts/covid.german.forecasts. [Data Collection]. Github. https://github.com/epiforecasts/covid.german.forecasts
Gruson, H and Grenié, M (2022). fundiversity: Easy Computation of Functional Diversity Indices. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4761754
Butcher, RMR, Mccormick, I and RAAB Team (2022). raabteam/raab7-analysis. [Data Collection]. Github. https://github.com/raabteam/raab7-analysis
Masselot, P (2022). PierreMasselot/Paper--2022--Biostatistics--CGAIM. [Data Collection]. Github. https://github.com/PierreMasselot/Paper--2022--Biostatistics--CGAIM
Ling, S (2022). supingling/CancerInDiabetes. [Data Collection]. GitHub. https://github.com/supingling/cancerindiabetes
Simons, D (2022). DidDrog11/lassa_underreporting. [Data Collection]. Github. https://github.com/DidDrog11/lassa_underreporting
Abbott, S and Bosse, N (2022). epiforecasts/simplified-forecaster-evaluation. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7189308
Abbott, S and Sherratt, K (2022). seabbs/ecdc-weekly-growth-forecasts. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7189620
Atkins, KE and Hodgson, D (2022). katiito/rsvvaccines_amr. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7185501
Gruson, H and actions-user (2022). Bisaloo/asymptor. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4326986
Sbarra, AN, Mosser, JF, Jit, M, Ferrari, M, Ramshaw, RE, O'Connor, P, Krause, LK, Rogowski, EL and Portnoy, A (2022). Estimating national-level measles case–fatality ratios in low-income and middle-income countries: an updated systematic review and modelling study. [Data Collection]. Zenodo. https://zenodo.org/record/7633577
Wick, R, kelwyres, Pan, A, Stanton, T, Watts, S and Lee, T (2022). kelwyres/Kaptive-Web. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7039364
Benest, J (2022). ISIDLSHTM/CoBeDOA. [Data Collection]. GitHub. https://github.com/ISIDLSHTM/CoBeDOA
Roberts, C, Stott, C, Lal, S, Marks, M, Shawe-Taylor, M and Chaudhry, Z (2022). Biometric linkage of longitudinally collected electronic case report forms and confirmation of subject identity: An open framework for Open Data Kit (ODK) and related tools. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003115.
Grenié, M, Gruson, H, Silge, J and Tucker, C (2022). Rekyt/funrar. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.596011
Avoka, CK, Banke-Thomas, A, Beňová, L, Radovich, E and Campbell, OMR (2022). Use of motorised transport and pathways to childbirth care in health facilities: Evidence from the 2018 Nigeria Demographic and Health Survey. S1 Data. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000868.s009
Jombart, T, actions-user, Gruson, H and Pavlich-Mariscal, J (2022). epiverse-trace/blueprints: 0.0.2. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7062318
Napier, G (2022). GaryNapier/comp_mut. [Data Collection]. https://github.com/GaryNapier/comp_mut
Masselot, P (2022). PierreMasselot/Paper--2017--Nonparametric-L-moment-homogeneity-test. [Data Collection]. Github. https://github.com/PierreMasselot/Paper--2017--Nonparametric-L-moment-homogeneity-test
Waterlow, N (2022). NaomiWaterlow/NextGenFlu_Kenya. [Data Collection]. GitHub. https://github.com/NaomiWaterlow/NextGenFlu_Kenya
Thompson, JA, Leyrat, C, Fielding, KL and Hayes, RJ (2022). Additional file 2 of Cluster randomised trials with a binary outcome and a small number of clusters: comparison of individual and cluster level analysis method. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.20484843.v1
Kopec-Harding, K and Costello, R (2022). ARUKCFE/BmiAlgorithm. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.797044
Endo, A, Van leeuwen, E and Jomaba, M (2022). akira-endo/Intro-PMCMC. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6984353
Endo, A, Murayama, H, Abbott, S, Ratnayake, R, Pearson, CAB, Edmunds, WJ, Fearon, E and Funk, S (2022). akira-endo/monkeypox_heavytail: Heavy-tailed sexual contact networks and the epidemiology of monkeypox outbreak in non-endemic regions. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6984337
Pearson, CAB, Russell, TW and Kucharski, AJ (2022). cmmid/SA2UK: CEA submission. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6979557
Gibbs, H, Waterlow, NR, Cheshire, J, Danon, L, Liu, Y, Grundy, C, Kucharski, AJ and Eggo, RM (2022). hamishgibbs/facebook_population_2020_2021. [Data Collection]. Github. https://github.com/hamishgibbs/facebook_population_2020_2021
Greener, R (2022). ragreener1/deliveroo-scraper. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6961922
Greener, R (2022). ragreener1/justeat-scraper. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6962017
Muzambi, R (2022). RutendoMuzambi/InfectionsCognitionNeuroimaging. [Data Collection]. Github. https://github.com/RutendoMuzambi/InfectionsCognitionNeuroimaging
Koltai, M and Krauer, F (2022). mbkoltai/RSV-resurgence-model. [Data Collection]. Github. https://github.com/mbkoltai/RSV-resurgence-model
Sherratt, K and Funk, S (2022). covid19-forecast-hub-europe/euro-hub-ensemble: Zenodo release. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6895699
Burke, R (2022). rachaelmburke/tbacf. [Data Collection]. Github. https://github.com/rachaelmburke/tbacf
Nigri, A, Aburto, JM, Basellini, U and Bonetti, M (2022). Code: Evaluation of age-specific causes of death in the context of the Italian longevity transition. [Data Collection]. OSF. https://osf.io/yr92s/?view_only=a899e63ae7274374b23aecd457edf425
Masselot, P (2022). PierreMasselot/cirls. [Data Collection]. Github. https://github.com/PierreMasselot/cirls
Masselot, P (2022). cgaim: Constrained Groupwise Additive Index Models. [Data Collection]. The Comprehensive R Archive Network. https://cran.r-project.org/package=cgaim
Checchi, F, Frison, S and Warsame, A (2022). francescochecchi/acute_malnutrition_predictive_models. [Data Collection]. Github. https://github.com/francescochecchi/acute_malnutrition_predictive_models
Masselot, P (2022). PierreMasselot/cgaim. [Data Collection]. Github. https://github.com/PierreMasselot/cgaim
Barnard, RC (2022). rosannaclairebarnard/covidm-mtd-Omi. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6806636
Higgins, M (2022). MatthewHiggins2017/bioconda-PrimedRPA. [Data Collection]. Github. https://github.com/MatthewHiggins2017/bioconda-PrimedRPA
Huang, S and Libiseller-Rgger, J (2022). ShujiaHuang/qmplot. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6776156
Checchi, F (2022). francescochecchi/mortality_capture_recapture_analysis. [Data Collection]. Github. https://github.com/francescochecchi/mortality_capture_recapture_analysis
Vallat, R, Appelhoff, S, Spaak, E, JElfner, systole-docs, Tan, G, Paulino, A, Dominic C., Leicas, Nárai, Ádám, Wallan, S, Barthélemy, Q, Weixin, J, Singaravelan, K, Crabtree, KN, Punčochář, M, Legrand, N, Jolly, E, Cederstrand, E, To, I, Hale, J, Kahle, M, Mathot, S, Wase, V, Filipec, V, gedeck, Libiseller-Egger, J and xfz329 (2022). raphaelvallat/pingouin. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.1491783
Thindwa, D, Jambo, KC, Ojal, J, MacPherson, P, Dennis Phiri, M, Pinsent, A, Khundi, M, Chiume, L, Gallagher, KE, Heyderman, RS, Corbett, EL, French, N and Flasche, S (2022). deusthindwa/social.contact.rates.estimation.hiv.malawi. [Data Collection]. Github. https://github.com/deusthindwa/social.contact.rates.estimation.hiv.malawi
Cerqueira-Silva, T, de Araujo Oliveira, V, Paixão, ES, Júnior, JB, Penna, GO, Werneck, GL, Pearce, N, Barreto, ML, Boaventura, VS and Barral-Netto, M (2022). Duration of protection of CoronaVac plus heterologous BNT162b2 booster in the Omicron period in Brazil. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6657862
Krauer, F (2022). fkrauer/RSV-seasonality-public. [Data Collection]. Github. https://github.com/fkrauer/RSV-seasonality-public
O'Reilly, KM (2022). kath-o-reilly/wbe_prevalence_england_python. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6674384
Roberts, C (2022). chrissyhroberts/OMR_LSHTM. [Data Collection]. Github. https://github.com/chrissyhroberts/OMR_LSHTM
Madaniyazi, L, Tobias, A, Kim, Y, Chung, Y, Armstrong, B and Hashizume, M (2022). LinaMadaniyazi/Assessing-seasonality-and-the-role-of-its-potential-drivers-in-environmental-epidemiology-a-tutorial. [Data Collection]. Github. https://github.com/LinaMadaniyazi/Assessing-seasonality-and-the-role-of-its-potential-drivers-in-environmental-epidemiology-a-tutorial
Sumner, T (2022). tomsumner/Variance_SA_TB. [Data Collection]. GitHub. https://github.com/tomsumner/Variance_SA_TB
Colelli, FP, Emmerling, J, Mistry, M, Marangoni, G and De Cian, E (2022). Additional Data and Code from "Increased energy use for adaptation significantly impacts mitigation pathways". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6603718
Wick, R, kelwyres and Holt, KE (2022). katholt/Kaptive. [Data Collection]. Github. https://github.com/katholt/Kaptive
Clark, R, Mukandavire, C, Weerasuriya, C, Bakker, R and White, RG (2022). TBVAX Model. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6421372
Dyson, ZA (2022). zadyson/SNV_Stats_Generator. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6581275
Courtin, E (2022). emiliecourtin/maternityleave. [Data Collection]. Github. https://github.com/emiliecourtin/maternityleave
Bosse, N, Abbott, S, Reich, NG and Funk, S (2022). epiforecasts/scoringutils. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4618017
Jombart, T (2022). epiverse-trace/linelist. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6532786
Allel, K (2022). kasimallel/Modelling-analysing-GN-ABR-for-transmission-in-a-Chilean-semi-rural-community. [Data Collection]. Github. https://github.com/kasimallel/Modelling-analysing-GN-ABR-for-transmission-in-a-Chilean-semi-rural-community
Eletti, A, Marra, G, Quaresma, M, Radice, R and Rubio, FJ (2022). FJRubio67/LBANS/. [Data Collection]. Github. https://github.com/FJRubio67/LBANS/
Masselot, P (2022). PierreMasselot/Paper--2022--EE--Heat_climate. [Data Collection]. Github. https://github.com/PierreMasselot/Paper--2022--EE--Heat_climate
Robert, A (2022). alxsrobert/evd-transmission-trees. [Data Collection]. Github. https://github.com/alxsrobert/evd-transmission-trees
Morris, TP, Walker, AS, Williamson, EJ and White, IR (2022). Additional file 1 of Planning a method for covariate adjustment in individually randomised trials: a practical guide. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19613608.v1
Morris, TP, Walker, AS, Williamson, EJ and White, IR (2022). Additional file 2 of Planning a method for covariate adjustment in individually randomised trials: a practical guide. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19613611.v1
Messenger, LA and Pelloquin, B (2022). Code for analysis of mosquito microbiota data. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4548775
Gasparrini, A (2022). gasparrini/Extended2stage. [Data Collection]. Github. https://github.com/gasparrini/Extended2stage
d-j-e, Holt, KE and Wyres, KL (2022). katholt/RedDog. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6460229
Endo, A (2022). akira-endo/reanalysis_Fukumoto2021: 'Not finding causal effect' is not 'finding no causal effect' of school closure on COVID-19. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6457915
Liu, Y (2022). yangclaraliu/COVID_Vac_Delay. [Data Collection]. Github. https://github.com/yangclaraliu/COVID_Vac_Delay
actions-user, Sherratt, K, Gruson, H, Funk, S, Bracher, J, BIOCOM-SC, Walraven, R, miraanto, h-veronika, Rodiah, I, gr3gr3, Kraus, D, hgurung-iem, epiforecasts-bot, Xu, FT, Heyder, S, aniruddhadiga, Abbott, S, Sun, T, Mingio, M, Deuschel, J, pmontman, janezz25, neele-itwm, Gibson, G, EpiGraph, Tarantino, B, Karlen, D, Bhatia, S and borjarv (2022). covid19-forecast-hub-europe/covid19-forecast-hub-europe. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6401421
Leclerc, QJ (2022). qleclerc/mrsa_phage_dynamics. [Data Collection]. Github. https://github.com/qleclerc/mrsa_phage_dynamics
Martin, JL, Messenger, LA, Mosha, FW, Lukole, E, Mosha, JF, Kulkarni, M, Churcher, TS, Sherrard-Smith, E, Manjurano, A, Protopopoff, N and Rowland, M (2022). Supporting files for: "Durability of three types of dual active ingredient long-lasting insecticidal net compared to a pyrethroid-only LLIN in Tanzania: methodology for a prospective cohort study nested in a cluster randomized controlled trial". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002833.
Davidson, J (2022). jenAdavidson/sccs_fluvacc_cvd. [Data Collection]. Github. https://github.com/jenAdavidson/sccs_fluvacc_cvd
Kiniry, SJ and Judge, C (2022). skiniry/Trips-Viz. [Data Collection]. Github. https://github.com/skiniry/Trips-Viz
Hodgson, D and Abbott, S (2022). dchodge/hero-study: Version submitted with WOR reviewers comments. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5215671
Melendez-Torres, GJ, Warren, E, Ukoumunne, OC, Viner, R and Bonell, C (2022). Additional file 1 of Locating and testing the healthy context paradox: examples from the INCLUSIVE trial. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19246465.v1
Sudharsanan, N, Aburto, JM, Riffe, T and van Raalte, A (2022). Omran revisited. [Data Collection]. OSF. https://osf.io/vwd37
Sweeney, S (2022). Stata Do Files for pooling and analysis. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/9XZBGE
Barrott, I, Barrett, J, Keogh, R, Sweeting, M and Stevens, D (2022). Landmarking: Analysis using Landmark Models. [Data Collection]. Comprehensive R Archive Network. https://cran.r-project.org/package=Landmarking
Foster, N, Nguyen, HV, Nguyen, NV, Nguyen, HB, Cobelens, F, Tiemersma, EW, Quaife, M and Houben, R (2022). Viet Nam tuberculosis prevalence survey: equity analysis code. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002373.
Williams, J (2022). jackrdwilliams/CRASH-Mild-Model. [Data Collection]. Github. https://github.com/jackrdwilliams/CRASH-Mild-Model
Greener, R, Lewis, D, Reades, J, Miles, S and Cummins, S (2022). Software and results for: Incorporating social norms into a configurable agent-based model of commuting behaviour. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4916753
Mulick, A (2022). amulick/MCEE-u5mort2019. [Data Collection]. Github. https://github.com/amulick/MCEE-u5mort2019
Coll, F (2022). francesccoll/powerbacgwas. [Data Collection]. Github. https://github.com/francesccoll/powerbacgwas/
Schwarzer, G, Carpenter, JR and Rücker, G (2022). metasens: Statistical Methods for Sensitivity Analysis in Meta-Analysis. [Data Collection]. The Comprehensive R Archive Network.
Knight, G and Baede, VO (2022). gwenknight/strain_growth. [Data Collection]. Github. https://github.com/gwenknight/strain_growth
Meakin, S and Abbott, S (2022). epiforecasts/covid19-hospital-activity. [Data Collection]. Github. https://github.com/epiforecasts/covid19-hospital-activity
Weerasuriya, CK (2022). weerasuriya/tbconvax-pcb. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5902656
Nightingale, E (2022). esnightingale/covid_deaths_spatial. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5763663
Spadar, A (2022). AntonS-bio/entropy. [Data Collection]. GitHub. https://github.com/AntonS-bio/entropy
Davidson, J, Herrett, E, Strongman, H and Gadd, S (2022). emilyherrett/qrisk_cprd_aurum: QRISK Aurum bundle version 2.0. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5822520