Travel Time to Health Facilities as a Marker of Geographical Accessibility Across Heterogeneous Land Coverage in Peru

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To better estimate the travel time to the most proximate health care facility (HCF) and determine differences across heterogeneous land coverage types, this study explored the use of a novel cloud-based geospatial modeling approach. Geospatial data of 145,134 cities and villages and 8,067 HCF were g...

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Detalles Bibliográficos
Autores: Carrasco-Escobar G., Manrique E., Tello-Lizarraga K., Miranda J.J.
Formato: artículo
Fecha de Publicación:2020
Institución:Consejo Nacional de Ciencia Tecnología e Innovación
Repositorio:CONCYTEC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.concytec.gob.pe:20.500.12390/2486
Enlace del recurso:https://hdl.handle.net/20.500.12390/2486
https://doi.org/10.3389/fpubh.2020.00498
Nivel de acceso:acceso abierto
Materia:travel time
geographic accessibility
health care accesibility
healthcare delivery
inequality
spatial analysis
http://purl.org/pe-repo/ocde/ford#3.03.01
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dc.title.none.fl_str_mv Travel Time to Health Facilities as a Marker of Geographical Accessibility Across Heterogeneous Land Coverage in Peru
title Travel Time to Health Facilities as a Marker of Geographical Accessibility Across Heterogeneous Land Coverage in Peru
spellingShingle Travel Time to Health Facilities as a Marker of Geographical Accessibility Across Heterogeneous Land Coverage in Peru
Carrasco-Escobar G.
travel time
geographic accessibility
health care accesibility
healthcare delivery
inequality
spatial analysis
http://purl.org/pe-repo/ocde/ford#3.03.01
title_short Travel Time to Health Facilities as a Marker of Geographical Accessibility Across Heterogeneous Land Coverage in Peru
title_full Travel Time to Health Facilities as a Marker of Geographical Accessibility Across Heterogeneous Land Coverage in Peru
title_fullStr Travel Time to Health Facilities as a Marker of Geographical Accessibility Across Heterogeneous Land Coverage in Peru
title_full_unstemmed Travel Time to Health Facilities as a Marker of Geographical Accessibility Across Heterogeneous Land Coverage in Peru
title_sort Travel Time to Health Facilities as a Marker of Geographical Accessibility Across Heterogeneous Land Coverage in Peru
author Carrasco-Escobar G.
author_facet Carrasco-Escobar G.
Manrique E.
Tello-Lizarraga K.
Miranda J.J.
author_role author
author2 Manrique E.
Tello-Lizarraga K.
Miranda J.J.
author2_role author
author
author
dc.contributor.author.fl_str_mv Carrasco-Escobar G.
Manrique E.
Tello-Lizarraga K.
Miranda J.J.
dc.subject.none.fl_str_mv travel time
topic travel time
geographic accessibility
health care accesibility
healthcare delivery
inequality
spatial analysis
http://purl.org/pe-repo/ocde/ford#3.03.01
dc.subject.es_PE.fl_str_mv geographic accessibility
health care accesibility
healthcare delivery
inequality
spatial analysis
dc.subject.ocde.none.fl_str_mv http://purl.org/pe-repo/ocde/ford#3.03.01
description To better estimate the travel time to the most proximate health care facility (HCF) and determine differences across heterogeneous land coverage types, this study explored the use of a novel cloud-based geospatial modeling approach. Geospatial data of 145,134 cities and villages and 8,067 HCF were gathered with land coverage types, roads and river networks, and digital elevation data to produce high-resolution (30 m) estimates of travel time to HCFs across Peru. This study estimated important variations in travel time to HCFs between urban and rural settings and major land coverage types in Peru. The median travel time to primary, secondary, and tertiary HCFs was 1.9-, 2.3-, and 2.2-fold higher in rural than urban settings, respectively. This study provides a new methodology to estimate the travel time to HCFs as a tool to enhance the understanding and characterization of the profiles of accessibility to HCFs in low- and middle-income countries. © Copyright © 2020 Carrasco-Escobar, Manrique, Tello-Lizarraga and Miranda.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.available.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.issued.fl_str_mv 2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.citation.none.fl_str_mv Carrasco-Escobar G, Manrique E, Tello-Lizarraga K and Miranda JJ (2020) Travel Time to Health Facilities as a Marker of Geographical Accessibility Across Heterogeneous Land Coverage in Peru. Front. Public Health 8:498. doi: 10.3389/fpubh.2020.00498
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12390/2486
dc.identifier.doi.none.fl_str_mv https://doi.org/10.3389/fpubh.2020.00498
dc.identifier.scopus.none.fl_str_mv 2-s2.0-85091827040
identifier_str_mv Carrasco-Escobar G, Manrique E, Tello-Lizarraga K and Miranda JJ (2020) Travel Time to Health Facilities as a Marker of Geographical Accessibility Across Heterogeneous Land Coverage in Peru. Front. Public Health 8:498. doi: 10.3389/fpubh.2020.00498
2-s2.0-85091827040
url https://hdl.handle.net/20.500.12390/2486
https://doi.org/10.3389/fpubh.2020.00498
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv Frontiers in Public Health
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0/
dc.publisher.none.fl_str_mv Frontiers Media S.A.
publisher.none.fl_str_mv Frontiers Media S.A.
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spelling Publicationrp01113600rp06351600rp06352600rp00670600Carrasco-Escobar G.Manrique E.Tello-Lizarraga K.Miranda J.J.2024-05-30T23:13:38Z2024-05-30T23:13:38Z2020Carrasco-Escobar G, Manrique E, Tello-Lizarraga K and Miranda JJ (2020) Travel Time to Health Facilities as a Marker of Geographical Accessibility Across Heterogeneous Land Coverage in Peru. Front. Public Health 8:498. doi: 10.3389/fpubh.2020.00498https://hdl.handle.net/20.500.12390/2486https://doi.org/10.3389/fpubh.2020.004982-s2.0-85091827040To better estimate the travel time to the most proximate health care facility (HCF) and determine differences across heterogeneous land coverage types, this study explored the use of a novel cloud-based geospatial modeling approach. Geospatial data of 145,134 cities and villages and 8,067 HCF were gathered with land coverage types, roads and river networks, and digital elevation data to produce high-resolution (30 m) estimates of travel time to HCFs across Peru. This study estimated important variations in travel time to HCFs between urban and rural settings and major land coverage types in Peru. The median travel time to primary, secondary, and tertiary HCFs was 1.9-, 2.3-, and 2.2-fold higher in rural than urban settings, respectively. This study provides a new methodology to estimate the travel time to HCFs as a tool to enhance the understanding and characterization of the profiles of accessibility to HCFs in low- and middle-income countries. © Copyright © 2020 Carrasco-Escobar, Manrique, Tello-Lizarraga and Miranda.Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - ConcytecengFrontiers Media S.A.Frontiers in Public Healthinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/travel timegeographic accessibility-1health care accesibility-1healthcare delivery-1inequality-1spatial analysis-1http://purl.org/pe-repo/ocde/ford#3.03.01-1Travel Time to Health Facilities as a Marker of Geographical Accessibility Across Heterogeneous Land Coverage in Peruinfo:eu-repo/semantics/articlereponame:CONCYTEC-Institucionalinstname:Consejo Nacional de Ciencia Tecnología e Innovacióninstacron:CONCYTECORIGINALTravel Time - Frontiers in Public Health.pdfTravel Time - Frontiers in Public Health.pdfapplication/pdf1817402https://repositorio.concytec.gob.pe/bitstreams/ac78767d-4f9b-4228-91f1-6a8868ffca87/downloada217a7bfc28ddaa6ccf53ba7974538a9MD51TEXTTravel Time - Frontiers in Public Health.pdf.txtTravel Time - Frontiers in Public Health.pdf.txtExtracted texttext/plain43862https://repositorio.concytec.gob.pe/bitstreams/3f761702-e63c-4da5-855e-c3641c106d57/download6410b1937796f7c67c9cca743e817d7eMD52THUMBNAILTravel Time - Frontiers in Public Health.pdf.jpgTravel Time - Frontiers in Public Health.pdf.jpgGenerated Thumbnailimage/jpeg5712https://repositorio.concytec.gob.pe/bitstreams/44c9e74b-33bc-41e1-8d8d-ad30eb1df3f9/download5fccd37795e774f338f84c8bc535918bMD5320.500.12390/2486oai:repositorio.concytec.gob.pe:20.500.12390/24862025-01-17 22:00:17.894https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessopen accesshttps://repositorio.concytec.gob.peRepositorio Institucional CONCYTECrepositorio@concytec.gob.pe#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="351474a1-18fc-42bb-8676-a9be90f898f8"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Travel Time to Health Facilities as a Marker of Geographical Accessibility Across Heterogeneous Land Coverage in Peru</Title> <PublishedIn> <Publication> <Title>Frontiers in Public Health</Title> </Publication> </PublishedIn> <PublicationDate>2020</PublicationDate> <DOI>https://doi.org/10.3389/fpubh.2020.00498</DOI> <SCP-Number>2-s2.0-85091827040</SCP-Number> <Authors> <Author> <DisplayName>Carrasco-Escobar G.</DisplayName> <Person id="rp01113" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Manrique E.</DisplayName> <Person id="rp06351" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Tello-Lizarraga K.</DisplayName> <Person id="rp06352" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Miranda J.J.</DisplayName> <Person id="rp00670" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Frontiers Media S.A.</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>https://creativecommons.org/licenses/by/4.0/</License> <Keyword>travel time</Keyword> <Keyword>geographic accessibility</Keyword> <Keyword>health care accesibility</Keyword> <Keyword>healthcare delivery</Keyword> <Keyword>inequality</Keyword> <Keyword>spatial analysis</Keyword> <Abstract>To better estimate the travel time to the most proximate health care facility (HCF) and determine differences across heterogeneous land coverage types, this study explored the use of a novel cloud-based geospatial modeling approach. Geospatial data of 145,134 cities and villages and 8,067 HCF were gathered with land coverage types, roads and river networks, and digital elevation data to produce high-resolution (30 m) estimates of travel time to HCFs across Peru. This study estimated important variations in travel time to HCFs between urban and rural settings and major land coverage types in Peru. The median travel time to primary, secondary, and tertiary HCFs was 1.9-, 2.3-, and 2.2-fold higher in rural than urban settings, respectively. This study provides a new methodology to estimate the travel time to HCFs as a tool to enhance the understanding and characterization of the profiles of accessibility to HCFs in low- and middle-income countries. © Copyright © 2020 Carrasco-Escobar, Manrique, Tello-Lizarraga and Miranda.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1
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Travel Time to Health Facilities as a Marker of Geographical Accessibility Across Heterogeneous Land Coverage in Peru
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