ISI Foundation, Turin, Italy.
Department of Global Health, School of Public Health, Boston University, Boston, MA, USA.
Nat Commun. 2022 May 24;13(1):2897. doi: 10.1038/s41467-022-30688-8.
The COVID-19 pandemic has highlighted how structural social inequities fundamentally shape disease dynamics, yet these concepts are often at the margins of the computational modeling community. Building on recent research studies in the area of digital and computational epidemiology, we provide a set of practical and methodological recommendations to address socioeconomic vulnerabilities in epidemic models.
新冠疫情凸显了结构性社会不平等如何从根本上影响疾病动态，但这些概念在计算建模界往往处于边缘地位。本文基于数字和计算流行病学领域的最新研究，提出了一系列实用的方法学建议，以解决传染病模型中的社会经济脆弱性问题。
