Use of geospatial analysis for priority setting in surgical system investment in Guatemala

Buda, Alexandra; Truché, Paul; Izquierdo, Erick David Murguía; Izquierdo, Sandra de; Asturias, Sabrina; Stankey, Makela; Park, Kee B.; Peck, Gregory; Juran, Sabrina; Evans, Faye M.

doi:10.1016/j.lana.2021.100145

Cited by 5 publications

(3 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…29 This percentage represents the population that can access a surgical facility either within their municipality or by commuting to a neighbouring municipality within the specified travel time threshold. 30 …”

Section: Methodsmentioning

confidence: 99%

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

Campos,

Bryce-Alberti,

Hill

et al. 2023

The Lancet Regional Health - Americas

View full text Add to dashboard Cite

Section: Methodsmentioning

confidence: 99%

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

Campos,

Bryce-Alberti,

Hill

et al. 2023

The Lancet Regional Health - Americas

View full text Add to dashboard Cite

“…Therefore, a slight decline increases the speed of movement, and an increase in slope leads to slower movement along a surface (Tobler 1993). These values have been scrutinized and adjusted for different studies, including sports performance, modern transport and access, and archaeological modeling (Buda et al 2022; Goodchild 2020; Márquez Pérez et al 2017; White and Barber 2012). Recognizing that there are many unknowns—including past vegetation dynamics, human performance, a need for stealth, navigation around barriers, and access to trails—we simply used the current version of Tobler's hiking function using Distance Accumulation (Spatial Analyst toolbox) in ArcGIS Pro (Kwon and Graham 2021).…”

Section: Gis Analysismentioning

confidence: 99%

Striking distance: Investigating the epigraphy and geography of a Late Classic Maya war

2023

View full text Add to dashboard Cite

We present a photogrammetric model and new line drawing of Sacul Stela 3 at the ancient Maya site of Sacul 1, Guatemala. Although virtually illegible in person and from photographs, the inscription on the eroded stela can largely be read or reconstructed in the 3D model. Our reading confirms a previous argument that the kingdom based at Sacul 1 was attacked in A.D. 779 by forces from the site of Ucanal. Traveling by night, warriors from Sacul retaliated with a raid at dawn next day on an unidentified site and, months later, followed up with an attack on Ucanal itself. The same narrative appears substantially on a well-known monument, Ixkun Stela 2, but there are differences between the two texts which suggest that Sacul and Ixkun had their own sculptors and record-keepers and which offer insights into the implications of verbs (pul, “to burn” and ch'ak, “to chop”) commonly attested in Classic Maya accounts of war. We then present the results of GIS analysis which suggests that the site area of El Rosario (between Sacul 1 and Ucanal) is an appealing candidate for the unidentified site mentioned in the stela text.

show abstract

“…Prior research looking at the impact of increasing geographic access concluded that building more clinics would only alleviate a small part of the access problem (Quattrochi et al, 2020). In addition, Buda et al (2022) used geospatial analysis to understand the current and potential increase in surgical coverage rates by hospitals in Guatemala, which turned out to be minimal if only geographic access were to be increased. Therefore, with limited resources and competition for funding, expanding geographic access alone, may not appear as the most efficient option to assure access to care.…”

Section: Articlementioning

confidence: 99%

Exploring the distribution of risk factors for drop-out from Ponseti treatment for clubfoot across Bangladesh using geospatial cluster analysis

Pigeolet,

Kucchal,

Hey

et al. 2023

Geospat Health

Self Cite

View full text Add to dashboard Cite

Clubfoot is a congenital anomaly affecting 1/1,000 live births. Ponseti casting is an effective and affordable treatment. About 75% of affected children have access to Ponseti treatment in Bangladesh, but 20% are at risk of drop-out. We aimed to identify the areas in Bangladesh where patients are at high or low risk for drop-out. This study used a cross-sectional design based on publicly available data. The nationwide clubfoot program: ‘Walk for Life’ identified five risk factors for drop-out from the Ponseti treatment, specific to the Bangladeshi setting: household poverty, household size, population working in agriculture, educational attainment and travel time to the clinic. We explored the spatial distribution and clustering of these five risk factors. The spatial distribution of children <5 years with clubfoot and the population density differ widely across the different sub-districts of Bangladesh. Analysis of risk factor distribution and cluster analysis showed areas at high risk for dropout in the Northeast and the Southwest, with poverty, educational attainment and working in agriculture as the most prevalent driving risk factor. Across the entire country, twenty-one multivariate high-risk clusters were identified. As the risk factors for drop-out from clubfoot care are not equally distributed across Bangladesh, there is a need in regional prioritization and diversification of treatment and enrolment policies. Local stakeholders and policy makers can identify high-risk areas and allocate resources effectively.

show abstract

Use of geospatial analysis for priority setting in surgical system investment in Guatemala

Cited by 5 publications

References 26 publications

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

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

Striking distance: Investigating the epigraphy and geography of a Late Classic Maya war

Exploring the distribution of risk factors for drop-out from Ponseti treatment for clubfoot across Bangladesh using geospatial cluster analysis

Contact Info

Product

Resources

About