Nightingale, E, Waterlow, N, Clifford, S and Rees, E. 2020. COVID-19 length of hospital stay. [Online]. Github. Available from: https://github.com/esnightingale/los_review
Nightingale, E, Waterlow, N, Clifford, S and Rees, E. COVID-19 length of hospital stay [Internet]. Github; 2020. Available from: https://github.com/esnightingale/los_review
Nightingale, E, Waterlow, N, Clifford, S and Rees, E (2020). COVID-19 length of hospital stay. [Data Collection]. Github. https://github.com/esnightingale/los_review
Alternative Title
esnightingale/los_review
Description
This repository contains the data and code used to produce the results presented in "COVID-19 length of hospital stay: a systematic review and data synthesis". A pre-print of the manuscript is available here: https://www.medrxiv.org/content/10.1101/2020.04.30.20084780v1
The main analysis dataset can be found in data/LOS analysis dataset.csv. This contains all LoS estimates extracted from the included studies, along with data describing the study and the patient population.
These data are summarised in code/los_summary.R to produce the figures included in the manuscript.
The extracted estimates are combined into summary distributions using the script code/comb_dists.R. A function to sample from the obtained summary distributions for setting = China/Other and type = general/ICU can be found in code/los_create_distributions.R. This function returns a set of sample_size samples from the specified summary distribution, the fitted Weibull parameters of each individual study distribution and the errors between the observed and fitted quantiles.
Keywords
Data capture method | Unknown |
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Date (Date published in a 3rd party system) | 20 May 2020 |
Language(s) of written materials | English |
Data Creators | Nightingale, E, Waterlow, N, Clifford, S and Rees, E |
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LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology Faculty of Public Health and Policy > Dept of Global Health and Development |
Research Centre | Centre for the Mathematical Modelling of Infectious Diseases |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
Date Deposited | 20 Aug 2020 16:43 |
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Last Modified | 08 Jul 2021 12:50 |
Publisher | Github |