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Rachel A Hounsell

Biographic Data

ID9075157
NAMERachel A Hounsell
GIVEN NAMESRachel A
FAMILY NAMEHounsell
SIGNATUREHOUNSELL R A
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2023
H-INDEX0
  • The role of modelling and analytics in South African Covid-19 planning and budgeting

    Open Access•Gesine Meyer‐Rath, Rachel Hounsell et al.•ARTICLE•PLOS Global Public Health•2023

    Background The South African COVID-19 Modelling Consortium (SACMC) was established in late March 2020 to support planning and budgeting for COVID-19 related healthcare in South Africa. We developed several tools in response to the needs of decision makers in the different stages of the epidemic, allowing the South African government to plan several months ahead. Methods Our tools included epidemic projection models, several cost and budget impact…

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  • The role of modelling and analytics in South African Covid-19 planning and budgeting

    Open Access•Gesine Meyer‐Rath, Rachel Hounsell et al.•ARTICLE•PLOS Global Public Health•2023

    Background The South African COVID-19 Modelling Consortium (SACMC) was established in late March 2020 to support planning and budgeting for COVID-19 related healthcare in South Africa. We developed several tools in response to the needs of decision makers in the different stages of the epidemic, allowing the South African government to plan several months ahead. Methods Our tools included epidemic projection models, several cost and budget impact…

2019-20 coronavirus outbreak (1 work) · Analytics (1 work) · Business (1 work) · Computer Science (1 work) · COVID-19 epidemiological studies (1 work) · Data science (1 work) · Internal Medicine (1 work) · Medicine (1 work) · Vaccine Coverage and Hesitancy (1 work) · Viral Infections and Outbreaks Research (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae