Preprints are early versions of research articles that have not been peer reviewed. They should not be regarded as conclusive and should not be reported in news media as established information.
The Association Between New COVID-19 Cases and Google Searches for Mental Health
preprintposted on 09.06.2020, 23:02 by Patrick Tennant, Jennifer GonzalezJennifer Gonzalez, Melissa Rowan, Catie Hilbelink, Quianta Moore
Mental health concerns related to the COVID-19 pandemic and the resulting economic and societal changes are an important matter of public health. We examined the state-level association between new cases of COVID-19 reported and mental health, as measured through Google search trends, on a daily basis. Our analyses indicate a significant positive association, such that increases in mental health Google searches should be expected on days when relatively more new cases of COVID-19 are announced. The overall effect and state-level variation were analyzed via a multi-level model and full results are included here. Implications and public policy suggestions are discussed.
No funding was received to support this work.
Declaration of conflicts of interestThe authors have no conflicts of interest to disclose.
Corresponding author email@example.com
Lead author countryUnited States
Lead author job roleIndependent researcher
Lead author institutionRice University's Baker Institute for Public Policy
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