How much is 'enough'? Exploring the impact of volunteered dataset completeness upon healthcare accessibility modelling

Kirsty Watkinson; Jonny Huck; Angela Harris

doi:10.5281/zenodo.6410144

How much is 'enough'? Exploring the impact of volunteered dataset completeness upon healthcare accessibility modelling

Kirsty Watkinson, Jonny Huck, Angela Harris

Geography

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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Abstract

An inequality in access to healthcare exists globally, preventing many people from living long, healthy lives. Availability is an important component of access and is often used to inform healthcare policy. However, our ability to measure availability is impacted by the completeness of geographical datasets, in particular road and path datasets. This paper presents a novel sensitivity analysis whereby the completeness of a volunteered road and path dataset is incrementally downgraded and the change in distance to healthcare measured. In doing so we hope to answer “how much data is ‘enough’?” to enable reliable estimations of healthcare availability.

Original language	English
Title of host publication	30th Annual Geographical Information Science Research UK (GISRUK), Liverpool, United Kingdom
DOIs	https://doi.org/10.5281/zenodo.6410144
Publication status	Published - 1 Apr 2022

Keywords

Volunteered geographic information
mapping inequalities
access
healthcare

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.5281/zenodo.6410144Licence: CC BY

GISRUK_2022_paper_26Final published version, 457 KBLicence: CC BY

Cite this

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title = "How much is 'enough'? Exploring the impact of volunteered dataset completeness upon healthcare accessibility modelling",

abstract = "An inequality in access to healthcare exists globally, preventing many people from living long, healthy lives. Availability is an important component of access and is often used to inform healthcare policy. However, our ability to measure availability is impacted by the completeness of geographical datasets, in particular road and path datasets. This paper presents a novel sensitivity analysis whereby the completeness of a volunteered road and path dataset is incrementally downgraded and the change in distance to healthcare measured. In doing so we hope to answer “how much data is {\textquoteleft}enough{\textquoteright}?” to enable reliable estimations of healthcare availability.",

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AB - An inequality in access to healthcare exists globally, preventing many people from living long, healthy lives. Availability is an important component of access and is often used to inform healthcare policy. However, our ability to measure availability is impacted by the completeness of geographical datasets, in particular road and path datasets. This paper presents a novel sensitivity analysis whereby the completeness of a volunteered road and path dataset is incrementally downgraded and the change in distance to healthcare measured. In doing so we hope to answer “how much data is ‘enough’?” to enable reliable estimations of healthcare availability.

KW - Volunteered geographic information

KW - mapping inequalities

KW - access

KW - healthcare

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DO - 10.5281/zenodo.6410144

M3 - Conference contribution

BT - 30th Annual Geographical Information Science Research UK (GISRUK), Liverpool, United Kingdom

ER -

How much is 'enough'? Exploring the impact of volunteered dataset completeness upon healthcare accessibility modelling

Abstract

Keywords

UN SDGs

Access to Document

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Cite this