タイにおけるCOVID-19ワクチン接種範囲の説明的な空間モデル化:公平な配給のための政策的影響
Kittipong Sornlorm1, Sarayu Muntaphan2
1Faculty of Public Health, Khon Kaen University, Khon Kaen Province, Thailand.
BMC public health
|September 2, 2025
まとめ
タイのCOVID-19ワクチン接種は,人口密度や医療従事者などの要因が配給に影響を及ぼし,地域的なクラスタリングを示した. これらのパターンを理解することは ワクチンの公平なアクセスを達成するための鍵です
科学分野:
- エピデミオロジー
- 公衆衛生
- 空間分析
背景:
- COVID-19 パンデミックは,世界的なワクチン配給の課題を強調しました.
- タイは,目標を達成したにもかかわらず,ワクチン接種率の地域格差を経験しました.
研究 の 目的:
- タイにおけるCOVID-19 ワクチン接種率の地域格差を調査する.
- ワクチン接種率の社会経済的,人口的,医療的決定要因を特定する.
主な方法:
- 横断的な生態学的研究は,タイの76の州からの二次データを利用した.
- 空間的自己相関 (モランのI,LISA) と空間的回帰モデル (OLS,SLM,SEM) を採用した.
- 空間的誤差モデル (SEM) は,空間的変動を説明するのに最も適したモデルとして選択されました.
主要な成果:
- 2021年と2022年のワクチン接種で,有意なポジティブな空間的自己相関が観察されました.
- 高度なカバーが東部に集中していた.
- 2021年には,人口密度,NTL,収入,医療従事者と相関し,2022年には,高齢者人口,NTL,インターネットアクセス,医療従事者と相関した.
結論:
- 2021年のワクチンの不均等な配給は,COVID-19の発生率が高く,医療従事者がいる経済的に発展した地域を好みました.
- 2022年に改善されたワクチンの利用可能性と対象化されたコミュニティサービスにより,特に脆弱なグループへの対応が強化されました.
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