Fig. 2
Admissions by place of death: How did the pandemic impact the trend? Predicted number of monthly admissions to the Institute of Legal Medicine categorized by place of death if the pandemic had never occurred (blue) or if the pandemic had already existed prior to the actual onset (red), analyzed in a Poisson regression using the number of monthly admissions in each category as the dependent variable and the respective month, the pandemic dummy variable and the multiplicative interaction term of both as independent variables. (a) Significant impact on category “residential address”: Increasing the value of the time variable by one standard deviation from its mean increases the number of predicted monthly admissions by 18.6% under the pandemic scenario, while we would have expected a decrease by 5.8% under a non-pandemic scenario. (b) Significant impact on category „retirement/care facility”: Increasing the value of the time variable by one standard deviation from its mean increases the number of predicted monthly admissions by 13.2% under the pandemic scenario, while we would have expected an increase by only 4.0% under a non-pandemic scenario. (c) Significant impact on category “public”: Increasing the value of the time variable by one standard deviation from its mean increases the number of predicted monthly admissions by 15.1% under the pandemic scenario, while we would have expected a decrease by 8.6% under a non-pandemic scenario. (d) For the category “University Medical Center”, a slightly significant positive impact of the pandemic on admissions can only be detected in the early phase of the pandemic, with trends converging over the course of the observation period.
