Comparing Pregnancy and Childbirth-Related Hospital Visits in Arizona Before and during COVID-19 Using Network Analysis

Jinhang Jiang, Karthik Srinivasan
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Abstract

The COVID-19 pandemic has had a severe effect on all facets of human society, including healthcare. One of the primary concerns in healthcare is understanding and mitigating the impact of the pandemic on pregnancy and childbirth. While several studies have looked at challenges such as contract tracing of positive cases, predicting confirmed cases and deaths in individuals and communities, few studies have examined differences in hospitalization and treatment of pregnant mothers and infant care in large populations. In this study, the prevalence and co-occurrence of pregnancy and childbirth-related diagnoses reported in Arizona State hospitals for three sixth-month periods - before COVID-19 (second half of 2019), COVID-19 onset (first half of 2020), and COVID-19 (second half of 2020) are analyzed using network analysis. The results show that there are considerable differences in ego networks of few diagnoses during these time periods warranting further investigation into the causality of such population changes.
使用网络分析比较亚利桑那州在COVID-19之前和期间与妊娠和分娩相关的医院就诊情况
COVID-19大流行对人类社会的各个方面都产生了严重影响,包括医疗保健。卫生保健方面的主要关切之一是了解和减轻大流行对妊娠和分娩的影响。虽然有几项研究关注了诸如追踪阳性病例的合同、预测个人和社区的确诊病例和死亡等挑战,但很少有研究调查了大量人群中孕妇住院和治疗以及婴儿护理方面的差异。在本研究中,使用网络分析分析了亚利桑那州州立医院报告的三个六个月期间- COVID-19之前(2019年下半年),COVID-19发病(2020年上半年)和COVID-19(2020年下半年)的患病率和妊娠和分娩相关诊断的共发率。结果表明,在这些时间段内,少数诊断的自我网络存在相当大的差异,需要进一步调查这种人口变化的因果关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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