Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel.
Department of Sociology and Anthropology, Tel Aviv University, Tel Aviv, Israel.
Int J Equity Health. 2020 Sep 9;19(1):153. doi: 10.1186/s12939-020-01269-2.
The first wave of the Covid-19 pandemic hit Israel in late February 2020. The present study examines patterns of the first wave of Covid-19 morbidity in Israel at the macro level, during the period of late February to early June 2020, when the first wave has faded out. The analysis focuses on the significance of four sociodemographic variables: socioeconomic status, population density, rate of elderly population and minority status (Jewish / Arab identity) of the population in cities with 5000 residents or more. Additionally, we take a closer look into the association between morbidity rates and one SES component - home Internet access.
The article is a cross sectional study of morbidity rates, investigated on a residential community basis. Following the descriptive statistics, we move on to present multivariate analysis to explore associations between these variables and Covid-19 morbidity in Israel.
Both the descriptive statistics and regressions show morbidity rates to be positively associated with population density. Socioeconomic status as well as the size of elderly population were both significantly related to morbidity, but only in Jewish communities. Interestingly, the association was inverse in both cases. i.e., the higher the SES the lower the morbidity and the larger the elderly population, the lower the community's morbidity. Another interesting result is that overall, morbidity rates in Jewish cities were consistently higher than in Arab communities.
We attribute the low morbidity rates in communities with relatively small elderly populations to the exceptionally high fertility rates in ultra-orthodox communities that sustained increased rates of morbidity; the lower morbidity in Arab communities is attributed to several factors, including the spatial Jewish-Arab segregation.
2020 年 2 月下旬,Covid-19 疫情的第一波袭击了以色列。本研究在 2020 年 2 月下旬至 6 月初第一波疫情消退期间,从宏观层面上考察了以色列第一波 Covid-19 发病率的模式。该分析主要集中在四个社会人口统计学变量的重要性上:社会经济地位、人口密度、老年人口比例和 5000 名以上居民城市的人口中的少数民族地位(犹太/阿拉伯身份)。此外,我们还仔细研究了发病率与社会经济地位的一个组成部分(家庭互联网接入)之间的关联。
本文是对发病率进行的横断面研究,在居住社区的基础上进行调查。在描述性统计之后,我们继续进行多元分析,以探索这些变量与以色列 Covid-19 发病率之间的关联。
描述性统计和回归都表明发病率与人口密度呈正相关。社会经济地位以及老年人口规模都与发病率显著相关,但仅在犹太社区中。有趣的是,在这两种情况下,这种关联都是相反的。即,社会经济地位越高,发病率越低,老年人口越多,社区的发病率越低。另一个有趣的结果是,总的来说,犹太城市的发病率始终高于阿拉伯社区。
我们将老年人口比例相对较小的社区发病率较低归因于超正统社区异常高的生育率,这维持了发病率的增加;阿拉伯社区发病率较低归因于包括犹太-阿拉伯空间隔离在内的多种因素。