Abstract

Hospital systems play a critical role in treating injuries during disaster emergency responses. Simultaneously, natural disasters hinder their ability to operate at full capacity. Thus, cities must develop strategies that enable hospitals’ effective disaster operations. Here, we present a methodology to evaluate emergency response based on a model that assesses the loss of hospital functions and quantifies multiseverity injuries as a result of earthquake damage. The proposed methodology can design effective plans for patient transfers and allocation of ambulances and mobile operating rooms. This methodology is applied to Lima, Peru, subjected to a disaster scenario following a magnitude 8.0 earthquake. Our results show that the spatial distribution of healthcare demands mismatches the post-earthquake capacities of hospitals, leaving large zones on the periphery significantly underserved. This study demonstrates how plans that leverage hospital-system coordination can address this demand-capacity mismatch, reducing waiting times of critically injured patients by factors larger than two.

Hospital systems are critical, especially in providing healthcare services after disasters. Here, the authors revealed that in Lima the spatial distribution of health service demands mismatches the capacities of hospitals after earthquakes, leaving large zones on the periphery significantly underserved.

Details

Title
Effective plans for hospital system response to earthquake emergencies
Author
Ceferino Luis 1   VIAFID ORCID Logo  ; Mitrani-Reiser, Judith 2 ; Kiremidjian, Anne 3 ; Deierlein, Gregory 3 ; Bambarén Celso 4 

 Stanford University, Department of Civil and Environmental Engineering, Stanford, USA (GRID:grid.168010.e) (ISNI:0000000419368956); Princeton University, The Andlinger Center for Energy and the Environment, Princeton, USA (GRID:grid.16750.35) (ISNI:0000 0001 2097 5006) 
 National Institute of Standards and Technology, Materials and Structural Systems Division, Engineering Laboratory, Gaithersburg, USA (GRID:grid.94225.38) (ISNI:000000012158463X) 
 Stanford University, Department of Civil and Environmental Engineering, Stanford, USA (GRID:grid.168010.e) (ISNI:0000000419368956) 
 Universidad Peruana Cayetano Heredia, School of Public Health and Administration, Lima, Peru (GRID:grid.11100.31) (ISNI:0000 0001 0673 9488) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2438129288
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.