Universidad Peruana Cayetano Heredia

Geospatial mapping of surgical systems for earthquake emergency planning in Guerrero, Mexico: an ecological study

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dc.contributor.author Campos, Letícia Nunes
dc.contributor.author Bryce Alberti, Mayte
dc.contributor.author Hill, Sarah K.
dc.contributor.author Del Valle, Diana D.
dc.contributor.author Zaigham, Mehreen
dc.contributor.author Rábago, Alberto de la Rosa
dc.contributor.author Dey, Tanujit
dc.contributor.author Juran, Sabrina
dc.contributor.author Uribe-Leitz, Tarsicio
dc.coverage.spatial Guerrero, México
dc.date.accessioned 2023-12-05T17:48:00Z
dc.date.available 2023-12-05T17:48:00Z
dc.date.issued 2023
dc.identifier.uri https://hdl.handle.net/20.500.12866/14633
dc.description.abstract Background: Accessibility to surgical services can impact earthquake preparedness and response. We aimed to estimate the population with timely access to surgical care in Guerrero, a Mexican state with high tectonic activity, and identify populations at risk in the event of an earthquake. Methods: We conducted an ecological study using open government data. We extracted data from Guerrero municipalities regarding their earthquake risk, social vulnerability, social inequality, marginalisation, and resilience indices. The latest combines municipalities’ resistance to unexpected events and capacity to maintain optimal functionality without immediate federal or international support. Geographical coordinates of active public and private surgical facilities in Guerrero were combined with ancillary spatial data on roads and municipalities' population density to estimate population coverage within 30-min and 1-h driving time to surgical facilities in Redivis. We built an ordered beta regression model for each driving time estimate. Findings: We identified 25 public and 16 private facilities capable of providing surgical care in Guerrero. The population with access to facilities with surgical capacity within 30 min and 1-h driving times were 48.4% and 69.1%, respectively. We found that municipalities with very high levels of earthquake risk, social vulnerability, social inequality, and marginalisation, and very low levels of resilience had decreased coverage. In the multivariable analysis, the resilience index was statistically significant only for the 30-min model, with an effect size of 0.524 (95% CI 0.082, 1.089). Interpretation: Access to surgical care remains unequally distributed in Guerrero municipalities at the highest risk for earthquakes. Municipalities' resilience was the most significant predictor of higher surgical care coverage in 30-min driving time. Our study provides insights on how surgical system strengthening can enhance earthquake emergency disaster planning. en_US
dc.language.iso eng
dc.publisher Elsevier
dc.relation.ispartofseries Lancet Regional Health - Americas
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject Disaster planning en_US
dc.subject Emergency service en_US
dc.subject Hospital en_US
dc.subject Geographic mapping en_US
dc.subject Global health en_US
dc.subject Health policy en_US
dc.subject Natural disasters en_US
dc.subject.mesh Planificación en Desastres
dc.subject.mesh Servicio de Urgencia en Hospital
dc.subject.mesh Hospitales
dc.subject.mesh Mapeo Geográfico
dc.subject.mesh Salud Global
dc.subject.mesh Política de Salud
dc.subject.mesh Desastres Naturales
dc.title Geospatial mapping of surgical systems for earthquake emergency planning in Guerrero, Mexico: an ecological study en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.1016/j.lana.2023.100586
dc.relation.issn 2667-193X


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