ORIGINAL RESEARCH article
Front. Med.
Sec. Intensive Care Medicine and Anesthesiology
This article is part of the Research TopicSepsis Awareness Month 2024View all 8 articles
A data science-led strategy to assess the subnational burden of sepsis from official records: a longitudinal description and a cross-sectional demonstration in Chile
Provisionally accepted
- 1Universidad Santo Tomas, Santiago, Chile
- 2The University of British Columbia, Vancouver, Canada
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Sepsis is a life-threatening organ dysfunction caused by an aberrant host response to an infecting pathogen. Several international efforts have been launched to face its staggering burden and escalating costs. A disconnection manifests when translating current global, regional, and national estimations, into local, subnational, quantifications of its burden. For the level of completeness of civil registration and vital statistics in Chile an opportunity arose to calculate instead of estimating the burden of sepsis by subnational administrative division. Thus, a data science driven strategy to quantify sepsis-related incidence and mortality from official datasets in this country is presented for the first time. Moreover, given the high throughput potential of the analysis, areas where sepsis-related mortality exceeded its incidence were identified by administrative division, age group, and individual cause of death, and ranked by the magnitude of such excess. Thus, a strategy to guide public health resource deployment in an efficient manner by subnational burden is presented. Implementation of such strategy may represent the key to tackle sepsis with a local-to-global perspective, especially in low-and middle-income countries.
Keywords: burden of disease, data science, LMIC, Public Health, Public policies, Sepsis
Received: 22 Jul 2025; Accepted: 04 Dec 2025.
Copyright: © 2025 Gatica and Kissoon. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Sebastian Gatica
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