泰国2021年和2022年COVID-19疫苗覆盖率的空间自相关模式
Sarayu Muntaphan1, Kittipong Sornlorm1
1Faculty of Public Health, Khon Kaen University, Khon Kaen.
Geospatial health
|May 13, 2025
概括
泰国的COVID-19疫苗覆盖率集中在特定地区,并与感染率,经济活动 (夜间照明) 和医疗人员积极相关. 政策制定者应该针对服务不足的地区进行公平的疫苗分配.
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:
- 接种疫苗对于泰国在2021-2022年的COVID-19复苏至关重要.
- 了解疫苗覆盖的空间模式及其决定因素对于有效的公共卫生战略至关重要.
研究的目的:
- 确定泰国COVID-19传播,疫苗覆盖率和社会经济/卫生服务因素之间的空间关联.
- 分析疫苗接种范围的地理分布及其与流行病指标和资源的相关性.
主要方法:
- 单变量分析 (Getis-Ord GI*) 用于疫苗覆盖范围的聚类.
- 两变空间相关性分析 (莫兰的I) 将疫苗覆盖率与COVID-19病例,夜间照明 (NTL) 和医疗人员联系起来.
- 空间协会的局部指标 (LISA) 用于识别高高的集群.
主要成果:
- 在东部,中部和南部 (安达曼海岸) 地区观察到疫苗覆盖率的强烈聚类.
- 在2021年和2022年疫苗覆盖率与COVID-19患者,NTL和医疗人员之间发现了显著的积极空间相关性.
- 疫苗覆盖率高高的群体主要位于东部和中部地区.
结论:
- 高经济增长 (高NTL) 的地区由于更好的信息获取和运输,COVID-19疫苗覆盖率更高.
- 高感染率可能增加了公众的意识,推动了更好的接种疫苗.
- 在高风险,服务不足的地区优先分配疫苗,加强卫生工作人员对于公平获取和未来疫情准备至关重要.
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