COVID-19第二波:印度地区级研究印度确诊病例和死亡人数的集中情况
Dr Debarshi Ghosh1, Apurba Sarkar2, Dr Pradip Chouhan3
1Department of Geography, Dhupguri Girl's College, PO. Dhupguri, Jalpaiguri, PIN-735210, WB, India.
Environmental challenges (Amsterdam, Netherlands)
|April 15, 2024
概括
这项研究利用地区数据绘制了印度各地的COVID-19病例度和死亡率. 在西部和北部地区发现了高病例集群,在第二波期间,孟买和德里附近的死亡热点.
科学领域:
- 流行病学 流行病学
- 空间分析 空间分析
- 公共卫生 公共卫生
背景情况:
- COVID-19的第二波严重影响了印度,需要对病例分布和死亡率进行详细的空间分析.
- 了解疾病传播和死亡率的地理模式对于有针对性的公共卫生干预至关重要.
研究的目的:
- 为了揭示COVID-19确诊病例的空间模式,集中.
- 通过使用病例死亡率 (CFR) 在地区一级分析大流行病的传播.
- 在第二波疫情期间确定高病例度和死亡率的地理集群.
主要方法:
- 利用印度的地区级数据.
- 采用全球和本地莫兰的I统计数据来分析空间自相关性.
- 应用于确诊病例度和分析的CFR模式的位置系数 (LQ).
主要成果:
- 在研究期间,在孟买 - 普纳地区,喀拉拉 - 卡纳塔卡,加尔瓦尔 - 希马切尔,德里的NCT和拉达克 - 克什米尔 - 希马切尔邦观察到高确诊病例度 (LQ).
- 在2021年5月,病例度显示印度中部更多的随机聚类.
- 在第二波高峰期间,在孟买城市和德里 (包括旁遮普邦和哈里亚纳邦) 的NCT周围确定了高病例死亡率 (CFR) 集群.
结论:
- 空间分析揭示了COVID-19病例度和传播的不同地理模式.
- 该研究强调了高病例和死亡率的特定地区,为有针对性的公共卫生战略提供了信息.
- 了解这些空间动态对于有效管理未来的流行病浪潮至关重要.
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