Kalla Mohammed Issam, Lahmar Belkacem, Geullouh Sami, Kalla Mahdi
Laboratory of Natural Hazards and Spatial Planning (LRNAT), University of Batna 2, 53, Route de Constantine, Fesdis, 05078 Batna, Algeria.
GeoJournal. 2022;87(5):3607-3620. doi: 10.1007/s10708-021-10449-8. Epub 2021 Jun 13.
The health systems in many countries are still unable to control the evolution and persistence of the COVID-19 pandemic despite the large mobilisation of national resources. International attention has focussed on finding a cure, and preventive measures and national and international strategies to be adopted and implemented with regard to other future pandemics have been neglected despite their predictability and high probability of occurrence. This work aims to anticipate a reading on experience feedback in light of the current pandemic situation, and to identify the main spatial elements of vulnerability in Batna, Algeria, which seems to control the ability of an urban area to prevent the spread of the COVID-19 virus. We used a digital model based on a multi-criteria approach implemented in a geo-decisional GIS database to serve as a decision support tool for dealing with an epidemiological situation as a preventive or curative action. The results from the model seem to adequately reflect the reality of confirmed incidents in Batna. In addition, the results of the analysis of the spatiotemporal evolution of the virus clearly confirm that the urban sectors characterised by high vulnerability are those that have recorded an increasing number of confirmed COVID-19 incidents since the start of the epidemic until December 2020.
尽管各国大量调动国家资源，但许多国家的卫生系统仍无法控制新冠疫情的发展和持续蔓延。国际社会的注意力集中在寻找治愈方法上，而针对未来其他大流行病应采取和实施的预防措施以及国家和国际战略，尽管具有可预测性和高发生概率，却被忽视了。这项工作旨在根据当前的疫情形势，对经验反馈进行前瞻性解读，并确定阿尔及利亚巴特纳市脆弱性的主要空间要素，这些要素似乎决定了一个城市地区预防新冠病毒传播的能力。我们使用了一个基于多标准方法的数字模型，该模型在地理决策GIS数据库中实施，作为应对流行病学情况的预防或治疗行动的决策支持工具。该模型的结果似乎充分反映了巴特纳市确诊病例的实际情况。此外，对病毒时空演变的分析结果清楚地证实，自疫情开始至2020年12月，以高脆弱性为特征的城市区域记录的新冠确诊病例数量一直在增加。
