Discretized malaria cases (Debre Zeit)

The monthly epidemiological data (falciparum malaria cases) from 159 kebeles in Ethiopia were discretized into a set of finite levels by putting all zeros in the lowest level and then dividing the remaining data into observed quantiles of cases per capita. Three levels are considered here: no cases (0), cases below the median (1), and cases above the median (2). These format of the data are used in the grouping algorithm applied in Figure 1 to identify groups of administrative units (kebeles) with similar temporal dynamics. See Method and associated references in the Supplementary Information of the paper.

埃塞俄比亚159个克贝莱（kebele）的月度流行病学数据（恶性疟确诊病例数）被离散化为若干有限层级：首先将所有零值归入最低层级，随后将剩余数据按照人均病例数的观测分位数进行划分。本次研究共设置三个离散层级：无病例（编码为0）、病例数低于中位数（编码为1）以及病例数高于中位数（编码为2）。该数据格式被应用于图1中的分组算法，用于识别具有相似时间动态特征的行政单位（克贝莱）群组。详细方法及相关参考文献详见论文补充材料。