论文标题
锁定后，南非的Covid-19的空间分析和预测在南非传播
Spatial analysis and prediction of COVID-19 spread in South Africa after lockdown
论文作者
论文摘要
Covid-19对南非有什么影响？本文设想协助研究人员和决策者与Covid-19的大流行作斗争，重点是南非。本文通过应用热点区域的热图检索来关注疾病的传播，并使用MORAN指数进行空间分析。为了捕获南非各省之间的空间自相关，相邻以及地理距离测量方法被用作绝对计数和相对计数的权重矩阵。此外，将广义的逻辑生长曲线建模用于预测Covid-19扩散。我们期望这种数据驱动的建模可以为控制病毒传播的热点识别和时间动作提供一些见解。
What is the impact of COVID-19 on South Africa? This paper envisages assisting researchers and decision-makers in battling the COVID-19 pandemic focusing on South Africa. This paper focuses on the spread of the disease by applying heatmap retrieval of hotspot areas and spatial analysis is carried out using the Moran index. For capturing spatial autocorrelation between the provinces of South Africa, the adjacent, as well as the geographical distance measures, are used as a weight matrix for both absolute and relative counts. Furthermore, generalized logistic growth curve modeling is used for the prediction of the COVID-19 spread. We expect this data-driven modeling to provide some insights into hotspot identification and timeous action controlling the spread of the virus.
