dchodge/rsvmabmat
Code to produce the figures in "Protecting infants against RSV disease: an impact and cost-effectiveness comparison of long-acting monoclonal antibodies and maternal vaccination". The code heavily depends on a package which runs the simulations and cost-effectiveness for user-defined parameters, rsvie. The information in data/, data-raw/, and datasource/ relate to the England and Wales-specific information parameterising the burden, risk of outcomes, costs and QALY loss. For more details on how this works, please see the rsvie package. The figs/ folder contains all the figures in the manuscript and supplementary. The outputs/ folder contains large RDS files that contain all the information about the impact and cost-effectiveness of each model after running the simulations via the 'rsvie`; package. The R/ folder contains all the code used to run the models, process the outputs and plot the figures.
Alternative Title
Code for a study assessing the impact and cost-effectiveness of maternal vaccination and long-acting monoclonal antibodies against RSV in England and Wales
Keywords
RSV; Cost-effectiveness; Mathematical modelling; Vaccination| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Software R script |
| Capture method | Unknown |
| Date | 16 January 2024 |
| Language(s) of written materials | English |
| Creator(s) |
Hodgson, D |
| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023) |
| Research Centre | Centre for the Mathematical Modelling of Infectious Diseases |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom; UK Health Security Agency, London, United Kingdom; Edinburgh Medical School, University of Edinburgh, United Kingdom |
| Funders |
Project Funder Grant Number Funder URI UNSPECIFIED UNSPECIFIED http://dx.doi.org/10.13039/501100000272 |
| Date Deposited | 30 Jan 2024 15:51 |
| Last Modified | 30 Jan 2024 15:51 |
| Publisher | GitHub |
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