Monte Carlo Regression for Evaluating Children’s Role in the Pandemic Spread on the Example of Delta COVID-19 Wave

Abstract

Background: The children’s role in transmitting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the familial settings is uncertain. We aimed to assess how often children were the index cases transmitting SARS-CoV-2 into their households during the Delta wave, and to identify risk factors of children being the index case. Methods: In this prospective survey study, we collected information regarding household members of SARS-CoV-2-positive children tested in a single tertiary hospital. Some patients were tested with polymerase chain reaction and those samples were typed and classified as Delta or non-Delta variant. We have used the Monte Carlo approach to assess predictors of children being the index case in the household. Results: We surveyed 629 families and 515 of them fulfilled inclusion criteria. The child was the index case in 359 (69.71%) households. Attending childcare facilities in all age groups was positively associated with being the index case in the household [nursery, estimate = 1.456, 95% confidence interval (CI): 1.456–1.457, P < 0.001; kindergarten, estimate = 0.899, 95% CI: 0.898–0.900, P = 0.003; school, estimate = 1.23, 95% CI: 1.229–1.231, P = 0.001]. The same association was present in the subgroup of the families with the predominant Delta variant, but not in the subgroup with the predominant non-Delta variant. Conclusions: Attending childcare and educational facilities might be a significant predictor of a child being the SARS-CoV-2 index case in their household. Children’s role in driving the SARS-CoV-2 pandemic changes in consecutive waves. The Monte Carlo approach can be applied to assess risk factors of infectious agents’ spread in future epidemics.