Epidemiological characteristics of 1212 COVID-19 patients in Henan, China

Pei Wang; Junan Lu; Yanyu Jin; Mengfan Zhu; Lingling Wang; Shunjie Chen

From the 1212 patients, we constructed a heterogeneous network and performed some analysis on such network (Fig.5 ). The network contains 1105 patients that have been treated in 248 hospitals, 123 interhospital transfer relationships that involved 206 patients, and 208 patients that were clustering infected. Nodes in the network include patients and hospitals. Edges among patients represent relationship between relatives, friends or colleagues; Edges between patients and hospitals denote the patients were treated in the related hospitals; while edges among hospitals indicate the inter-hospital transfer treatments. Sizes of nodes were proportional to nodes' degree. Thickness of edges was proportional to the numbers of patients. From Fig.5 , we see that a few hospitals encompass a large number of patients in treatments, and the aggregate outbreak phenomena were ubiquitous. For example, the five patients that are treated in Zhengzhou Jinshui General Hospital are relatives to each other, they were successively infected. Similarly, 12 patients in Kaifeng are also relatives to each other. In fact, totally 208 patients were clustering infected, and Zhengzhou, Shangqiu, Zhoukou, Xuchang and Luoyang encompassed the most aggregative outbreak patients. Among the designated hospitals in Henan province, people's hospitals in different cities encompass a great number of patients. Xinyang Fifth People's Hospital received the most patients in Henan, followed by the Zhengzhou Sixth People's Hospital and the Luoshan County People's Hospital. Network analysis can provide us important information about patients, hospitals and their relationships; it can also provide valuable guidance for the distribution of epidemic prevention materials.