Impact of COVID-19 on Children with ASD

The final raw data were downloaded from WJX Forms into a Microsoft Excel file for analysis using SPSS software. Descriptive statistics were used to provide baseline information concerning survey participants’ children with ASD. Logistic regressions were performed to investigate whether the socio-demographic or clinical characteristics of any individuals with ASD would predict a greater frequency and intensity of emotional and behavioral problems following the COVID-19 outbreak. Associations between predictors and independent variables were reported by odds ratios (ORs) and their 95% confidence intervals (CIs). All the estimated costs were converted to US dollar (US$) values in January 2021, when one US$ was equivalent to about 6.49 Chinese yuan. All statistical analyses were conducted using SPSS 22.0 for Windows (SPSS Inc., Chicago, IL, USA).