RPr-Chakraborty-2021

Reproduction of Chakraborty 2021 analysis of unequal distribution of COVID-19 for people with disabilities

Contributors

This compendium and version of the reproduction (partial reproduction) is a project for Open Source GIScience

Samuel Barnard (open Source GIScience student)

Abstract

The original paper is a national scale study of the relationship between COVID-19 incidence and disability characteristics (by demographic) in the United States. The paper aims to determine whether COVID-19 incidence is more significant in counties with larger proportions of socio-demographically disadvantaged people with disabilities, based on race, ethnicity, poverty status, and biological sex.

This study is a replication of:

Chakraborty, J. 2021. Social inequities in the distribution of COVID-19: An intra-categorical analysis of people with disabilities in the U.S. Disability and Health Journal 14:1-5. DOI:[10.1016/j.dhjo.2020.101007](DOI:%5B10.1016/j.dhjo.2020.101007){.uri}

Study Metadata

Key words: Comma-separated list of keywords (tags) for searchability. Geographers often use one or two keywords each for: theory, geographic context, and methods.
Subject: select from the BePress Taxonomy
Date created: date when project was started
Date modified: date of most recent revision
Spatial Coverage: Specify the geographic extent of your study. This may be a place name and link to a feature in a gazetteer like GeoNames or OpenStreetMap, or a well known text (WKT) representation of a bounding box.
Spatial Resolution: Specify the spatial resolution as a scale factor, description of the level of detail of each unit of observation (including administrative level of administrative areas), and/or or distance of a raster GRID size
Spatial Reference System: Specify the geographic or projected coordinate system for the study
Temporal Coverage: Specify the temporal extent of your study—i.e. the range of time represented by the data observations.
Temporal Resolution: Specify the temporal resolution of your study—i.e. the duration of time for which each observation represents or the revisit period for repeated observations

OSF Project: https://doi.org/10.17605/OSF.IO/S5MTQ
Pre-analysis Registration: https://doi.org/10.17605/OSF.IO/MJXHD
Post-analysis Report Registration: https://doi.org/10.17605/OSF.IO/647EX
Prior Study: https://doi.org/10.1016/j.dhjo.2020.101007

Metadata for access

Rights: LICENSE: BSD 3-Clause “New” or “Revised”
Resource type: Collection
Resource language: English
Conforms to: Template for Reproducible and Replicable Research in Human-Environment and Geographical Sciences version 1.0, DOI:[10.17605/OSF.IO/W29MQ](DOI:%5B10.17605/OSF.IO/W29MQ){.uri}

Compendium structure and contents

This research compendium is structured with four main directories:

data: contains subdirectories for raw data and derived data.
docs: contains subdirectories for manuscript, presentation, and report
procedure: contains subdirectories for code or software scripts, information about the computational environment in which the research was conducted, and non-code research protocols
results: contains subdirectories for figures, formatted data tables, or other formats of research results.

The data, procedures, and results of this repository are outlined in three tables:

Data: data/data_index.csv
Procedures: procedure/procedure_index.csv
Results: results/results_index.csv

Important local documents include:

Pre-analysis plan: docs/report/preanalysis.pdf
Study report: docs/report/report.pdf
Manuscript: docs/manuscript/manuscript.pdf
Presentation: docs/presentation/presentation.pdf

The template_readme.md file contains more information on structure and rationale of this research template repository, as well as important references and licenses.

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