Institute for Applied Economic Research - Ipea, Brazil.
Institute for Applied Economic Research - Ipea, Brazil.
Soc Sci Med. 2021 Mar;273:113773. doi: 10.1016/j.socscimed.2021.113773. Epub 2021 Feb 12.
The rapid spread of COVID-19 across the world has raised concerns about the responsiveness of cities and healthcare systems during pandemics. Recent studies try to model how the number of COVID-19 infections will likely grow and impact the demand for hospitalization services at national and regional levels. However, less attention has been paid to the geographic access to COVID-19 healthcare services and to hospitals' response capacity at the local level, particularly in urban areas in the Global South. This paper shows how transport accessibility analysis can provide actionable information to help improve healthcare coverage and responsiveness. It analyzes accessibility to COVID-19 healthcare at high spatial resolution in the 20 largest cities of Brazil. Using network-distance metrics, we estimate the vulnerable population living in areas with poor access to healthcare facilities that could either screen or hospitalize COVID-19 patients. We then use a new balanced floating catchment area (BFCA) indicator to estimate spatial, income, and racial inequalities in access to hospitals with intensive care unit (ICU) beds and mechanical ventilators while taking into account congestion effects. Based on this analysis, we identify substantial social and spatial inequalities in access to health services during the pandemic. The availability of ICU equipment varies considerably between cities, and it is substantially lower among black and poor communities. The study maps territorial inequalities in healthcare access and reflects on different policy lessons that can be learned for other countries based on the Brazilian case.
COVID-19 在全球范围内的迅速传播引发了人们对城市和医疗保健系统在大流行期间反应能力的担忧。最近的研究试图建立模型,预测 COVID-19 感染的数量将如何增长,并对国家和地区层面的住院服务需求产生影响。然而,对于 COVID-19 医疗服务的地理可及性以及医院在当地层面的应对能力,特别是在全球南方的城市地区,关注较少。本文展示了交通可达性分析如何提供可行的信息,以帮助改善医疗保健的覆盖范围和反应能力。它以巴西最大的 20 个城市为例,以高空间分辨率分析 COVID-19 医疗保健的可达性。使用网络距离指标,我们估计了居住在医疗设施可达性较差地区的脆弱人群,这些地区要么可以筛查 COVID-19 患者,要么可以对其进行住院治疗。然后,我们使用新的平衡浮动集水区 (BFCA) 指标来估计在考虑拥堵效应的情况下,拥有 ICU 床位和机械呼吸机的医院的空间、收入和种族可达性不平等。基于这一分析,我们发现,在大流行期间,获取医疗服务存在着显著的社会和空间不平等。各城市 ICU 设备的可用性差异很大,黑人和贫困社区的 ICU 设备数量明显较低。该研究还绘制了医疗保健获取方面的地域不平等情况,并反思了可以从巴西案例中吸取的不同政策教训,以供其他国家参考。