How Spatial Epidemiology Helps Understand Infectious Human Disease Transmission

Chia Hsien Lin*, Tzai Hung Wen

*此作品的通信作者

研究成果: 雜誌貢獻回顧評介論文同行評審

17 引文 斯高帕斯(Scopus)

摘要

Both directly and indirectly transmitted infectious diseases in humans are spatial-related. Spatial dimensions include: distances between susceptible humans and the environments shared by people, contaminated materials, and infectious animal species. Therefore, spatial concepts in managing and understanding emerging infectious diseases are crucial. Recently, due to the improvements in computing performance and statistical approaches, there are new possibilities regarding the visualization and analysis of disease spatial data. This review provides commonly used spatial or spatial-temporal approaches in managing infectious diseases. It covers four sections, namely: visualization, overall clustering, hot spot detection, and risk factor identification. The first three sections provide methods and epidemiological applications for both point data (i.e., individual data) and aggregate data (i.e., summaries of individual points). The last section focuses on the spatial regression methods adjusted for neighbour effects or spatial heterogeneity and their implementation. Understanding spatial-temporal variations in the spread of infectious diseases have three positive impacts on the management of diseases. These are: surveillance system improvements, the generation of hypotheses and approvals, and the establishment of prevention and control strategies. Notably, ethics and data quality have to be considered before applying spatial-temporal methods. Developing differential global positioning system methods and optimizing Bayesian estimations are future directions.

原文英語
文章編號164
期刊Tropical Medicine and Infectious Disease
7
發行號8
DOIs
出版狀態已發佈 - 2022 8月

ASJC Scopus subject areas

  • 一般免疫學和微生物學
  • 公共衛生、環境和職業健康
  • 傳染性疾病

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