Modelagem Computacional e Tecnologia Industrial (PPG MCTI), Centro Universitário SENAI CIMATEC, Av. Orlando Gomes, 1845-Piatã, Salvador 41650-010, Brazil.
Department of Computer Science, Federal Institute of Bahia, Rua São Cristóvão, s/n-Novo Horizonte, Lauro de Freitas 42700-000, Brazil.
Int J Environ Res Public Health. 2022 Mar 24;19(7):3872. doi: 10.3390/ijerph19073872.
To effectively combat the COVID-19 pandemic, countries with limited resources could only allocate intensive and non-intensive care units to a low number of regions. In this work, we evaluated the actual displacement of infected patients in search of care, aiming to understand how the networks of planned and actual hospitalizations take place. To assess the flow of hospitalizations outside the place of residence, we used the concepts of complex networks. Our findings indicate that the current distribution of health facilities in Bahia, Brazil, is not sufficient to effectively reduce the distances traveled by patients with COVID-19 who require hospitalization. We believe that unnecessary trips to distant hospitals can put both the sick and the healthy involved in the transport process at risk, further delaying the stabilization of the COVID-19 pandemic in each region of the state of Bahia. From the results found, we concluded that, to mitigate this situation, the implementation of health units in countries with limited resources should be based on scientific methods, and international collaborations should be established.
为了有效应对 COVID-19 大流行，资源有限的国家只能将重症和非重症监护病房分配给少数地区。在这项工作中，我们评估了受感染患者实际寻找护理的转移情况，旨在了解计划和实际住院网络是如何发生的。为了评估居住地以外的住院人数流动情况，我们使用了复杂网络的概念。我们的研究结果表明，巴西巴伊亚州目前的卫生设施分布不足以有效减少需要住院治疗的 COVID-19 患者的旅行距离。我们认为，前往遥远医院的不必要旅行可能会使参与运输过程的患者和健康人面临风险，并进一步延迟巴伊亚州每个地区 COVID-19 大流行的稳定。根据发现的结果，我们得出结论，为了缓解这种情况，资源有限的国家应根据科学方法实施卫生单位，并建立国际合作。
