在Surabaya市对潜在危机事件的脆弱性绘制地图:基于GIS的方法
Ali E M Jarghon1, Nyoman Anita Damayanti1, Inge Dhamanti1
1Faculty of public Health, Airlangga University, Surabaya, East Java, 60114, Indonesia.
F1000Research
|August 21, 2024
概括
这项研究使用GIS和多标准决策分析 (MCDA) 绘制了苏拉巴亚的COVID-19脆弱性. 这些发现有助于针对性干预,并增强城市应对卫生紧急情况的弹性.
科学领域:
- 公共卫生 公共卫生
- 地理信息系统 (GIS) 是指地理信息系统.
- 流行病学 流行病学
背景情况:
- 评估城市对COVID-19等传染病的脆弱性对于公共卫生至关重要.
- 印度尼西亚主要城市苏拉巴亚需要定制策略来管理COVID-19风险.
研究的目的:
- 使用基于GIS的多标准决策分析 (MCDA) 开发苏拉巴雅的全面脆弱性地图.
- 确定和优先考虑最容易受到COVID-19影响的地区.
主要方法:
- 使用基于GIS的多标准决策分析 (MCDA) 进行漏洞映射.
- 利用分析层次过程 (AHP) 来确定六个关键漏洞因素的相对重要性.
- 将脆弱性分为五个不同的级别:非常低,低,中,高和非常高.
主要成果:
- 创建了苏拉巴亚的详细脆弱性地图,突出了高风险地区.
- 确定了需要优先关注的特定地理区域,以应对COVID-19.
- 为资源分配和干预计划提供数据驱动的见解.
结论:
- 开发的脆弱性地图是苏拉巴亚城市规划和公共卫生管理的关键工具.
- 加强准备和战略应对能力可以减轻未来卫生紧急情况的影响.
- 增强的弹性确保了苏拉巴亚人口的安全和福祉.
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