Estimating the effect of COVID-19 on mental health: Linguistic indicators of depression during a global pandemic
This preliminary analysis uses a deep LSTM neural network with fastText embeddings to predict population rates of depression on Reddit in order to estimate the effect of COVID-19 on mental health. We find that year over year, depression rates on Reddit are up 50{\%} , suggesting a 15-million person increase in the number of depressed Americans and a {\$}7.5 billion increase in depression related spending. This finding suggests that utility in NLP approaches to longitudinal public-health surveillance.
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