Preparing for a burn disaster in Brazil: Geospatial modelling to inform a coordinated response

Abstract

Introduction: To optimize the early care of burned patients, protocols were developed that guide pre-hospital care and the need to transfer to a specialized burn treatment unit. Burn disasters are an important public health concern in developed and developing nations. Among the early steps in disaster preparedness is the understanding of geographic locations and capacity of burn care facilities. We aimed to map and classify medical facilities that provide burn care in Brazil and to undertake a location-allocation analysis to identify which could be targeted to increase capacity.

Methods: A review of burn hospitalizations was conducted using Brazilian Ministry of Health data. Capacity was defined by number of burn patients admitted each year and bed type. Spatial population data per one-square kilometer were obtained from World Pop as a raster dataset. A road network dataset using Open Street Map data was created to conduct the drive time analysis. Location/allocation analysis was conducted to identify the proportion of Brazil's population living within 2- and 6-hours' drive time of a burn care capable hospital, stratified by the level of hospital capacity. Hospitals were ranked according to number of additional people served.

Results: We found 26.471 burn admissions. Of these, 3.508(13,2 %) were ICU admissions. A total of 735(2,7 %) hospital deaths occurred under the selected burn codes. In all, 1.273 facilities admitted burn patients, and 263(20,7 %) reported ICU admissions of burn patients. Seventeen hospitals were classified as maximum capacity facilities. Additional 23 hospitals were identified as potential targets for capacity building. Most maximum capacity hospitals are clustered in the Southeast of Brazil. Currently, 40.8 % of the Brazilian population live within 2 h of a maximum capacity facility. A large part of the population lives farther than 6 h away from a maximum capacity hospital. Most of the potential targets for capacity building are located near the coast of Brazil.

Discussion: We mapped and classified facilities that provide public burn care in Brazil. We identified public facilities that could be targeted to increase capacity to improve access for patients in the event of a burn disaster. Mapping, planning, and coordinating response is key for optimal outcomes in Mass Casualties Incidents. Cataloging and understanding local resources is a crucial first step in disaster management. Inequality in profiles can determine specific regional needs. Specialized burn centers are rare in regions other than the southeast. Health equity should be considered when planning disaster preparedness initiatives. Location-allocation modelling may assist in universal and equitable burn care service offerings.

Conclusion: This study proposes an initial step in the classification and mapping of available burn treatment centers and population coverage in Brazil.

Keywords: Brazil; Burn Disaster; Burn treatment centers; Coordinated response; Geospatial modelling.