Description
Dataset to accompany the publication "The potential impact of declining development assistance for healthcare on population health in Malawi: a modelling study" by Margherita Molaro, Paul Revill, Martin Chalkley, Sakshi Mohan, Tara Mangal, Tim Colbourn, Joseph H. Collins, Matthew M. Graham, William Graham, Eva Janoušková, Gerald Manthalu, Emmanuel Mnjowe, Watipaso Mulwafu, Rachel E. Murray-Watson, Pakwanja D. Twea, Andrew N. Phillips, Bingling She, Asif U. Tamuri, Dominic Nkhoma, Joseph Mfutso-Bengo, and Timothy B. Hallett.
The Thanzi La Onse model (www.tlomodel.org) is open source and available for review and usage at https://github.com/UCL/TLOmodel. In particular, the outputs analysed in this study can be reproduced from model tag "Molaro_et_al_2025_Impact_of_Declining_DAH" (accessible at https://github.com/UCL/TLOmodel/tags) using the scenario file scenario_impact_of_capabilities_expansion_scaling.py. All plots can be reproduce from the analysis file analysis_impact_of_capabilities_expansion_scaling.py in the same directory.
This repository contains all the data required to reproduce the figures in the manuscript. The file included have the following structure:
"Draw": Represents a specific scenario
"Run": Represents a single simulation instance of a draw. Each draw was simulated 10 times, each with independent random sampling, resulting in 10 "runs" per draw.
The data files included in this repository are: DALYs_with_time_by_cause.csv:
DALYs (as defined in the publication) incurred on a given year due to each of the causes of DALYs considered. LifeExpectancy.csv: Life expectancy averaged over 2-year periods.
External deposit with Zenodo.
The Thanzi La Onse model (www.tlomodel.org) is open source and available for review and usage at https://github.com/UCL/TLOmodel. In particular, the outputs analysed in this study can be reproduced from model tag "Molaro_et_al_2025_Impact_of_Declining_DAH" (accessible at https://github.com/UCL/TLOmodel/tags) using the scenario file scenario_impact_of_capabilities_expansion_scaling.py. All plots can be reproduce from the analysis file analysis_impact_of_capabilities_expansion_scaling.py in the same directory.
This repository contains all the data required to reproduce the figures in the manuscript. The file included have the following structure:
"Draw": Represents a specific scenario
"Run": Represents a single simulation instance of a draw. Each draw was simulated 10 times, each with independent random sampling, resulting in 10 "runs" per draw.
The data files included in this repository are: DALYs_with_time_by_cause.csv:
DALYs (as defined in the publication) incurred on a given year due to each of the causes of DALYs considered. LifeExpectancy.csv: Life expectancy averaged over 2-year periods.
External deposit with Zenodo.
| Date made available | 16 May 2025 |
|---|---|
| Publisher | Zenodo |