Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1289/EHP8690 |
The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring County-Level Vulnerability Using Visualization, Statistical Modeling, and Machine Learning | |
Skylar W. Marvel; John S. House; Matthew Wheeler; Kuncheng Song; Yi-Hui Zhou; Fred A. Wright; Weihsueh A. Chiu; Ivan Rusyn; Alison Motsinger-Reif; David M. Reif | |
2021-01-05 | |
发表期刊 | Environmental Health Perspectives |
出版年 | 2021 |
领域 | 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/310353 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Skylar W. Marvel,John S. House,Matthew Wheeler,et al. The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring County-Level Vulnerability Using Visualization, Statistical Modeling, and Machine Learning[J]. Environmental Health Perspectives,2021. |
APA | Skylar W. Marvel.,John S. House.,Matthew Wheeler.,Kuncheng Song.,Yi-Hui Zhou.,...&David M. Reif.(2021).The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring County-Level Vulnerability Using Visualization, Statistical Modeling, and Machine Learning.Environmental Health Perspectives. |
MLA | Skylar W. Marvel,et al."The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring County-Level Vulnerability Using Visualization, Statistical Modeling, and Machine Learning".Environmental Health Perspectives (2021). |
条目包含的文件 | 条目无相关文件。 |
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