Do Network Centrality Predict Overall Depression Symptom Reduction With Lifting of Social Distancing Protocols?

The aim of the study is to identify symptom-level intervention targets for depression related to the COVID-19 outbreak. First, we will assess centrality indices of the network of depression symptoms plus mechanism variables derived from the metacognitive model of psychopathology measured at a period of strict social distancing protocols (T1). Then, we will examine whether change in the most central symptom and metacognitive variables are more related to overall symptom reduction from the period of strict (T1) to a period of lifted social distancing protocols (T2) three months later. On the basis of the results, interventions can be suggested that protect the general public against increased psychological suffering and dysfunction during society's handling of pandemics.