A Preliminary Study About the Impact of Covid-19 on Mental Health and Depression of Swiss Population in 2020 Using Data Mining

The objective of the study was to investigate the impact of Covid-19 on mental health and specifically depression for the Swiss population. Data from Swiss Household Panel surveys from 2019 (no Covid) with 8841 individuals and from 2020 (Covid) with 15882 individuals about their life and health conditions, in addition to data from statistics on Income and living Conditions (SILC) conducted by Swiss Federal Statistical Office (FSO) from 2019 (no covid) and 2020 (covid) with approx. 18000 individuals along with Covid data from Swiss Surveillance Systems (CH-SUR) from 2020 were pre-processed, cleaned, transformed and finally integrated to a unique relational database. Apriori-algorithm for association analysis was applied and led to finding some interesting rules. The result of this study are 3 rules extracted from the database showing the correlation between Covid-19 and depression in the year of 2020 in Switzerland and compared with depression data in the year 2019 (before Covid-19). The found rules show that the Swiss population's life and health condition was not significantly impacted during the first year of Covid-19 in 2020. In our future work, we intend to use different data sources like social media instead of surveys to verify the gained results in this study.