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

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

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