How do Google searches for symptoms, news and unemployment interact during Covid-19? A Lotka–Volterra analysis of google trends data

Datos Bibliográficos

ID21378366
AutoresChiara Sotis (0000-0001-9367-0932, London School of Economics and Political Science, autor de correspondencia)
Año2021
Volumen55
Número6
Páginas2001-2016
Fecha de publicación2021-12-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaQuality & Quantity (JOURNAL)
Identificadores de la revistaISSN: 0033-5177 • E-ISSN: 1573-7845
EditorialSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11135-020-01089-0
PMID33551494
OpenAlexW3128348331
IdiomaEN
Citas recibidas3
Referencias citadas38

In this paper I exploit Google searches for the topics “symptoms”, “unemployment” and “news” as a proxy for how much attention people pay to the health and economic situation and the amount of news they consume, respectively. I then use an integrable nonautonomous Lotka–Volterra model to study the interactions among these searches in three U.S. States (Mississippi, Nevada and Utah), the District of Columbia and in the U.S. as a whole. I find that the results are very similar in all areas analyzed, and for different specifications of the model. Prior to the pandemic outbreak, the interactions among health searches, unemployment searches and news consumption are very weak, i.e. an increase in searches for one of these topics does not affect the amount of searches for the others. However, from around the beginning of the pandemic these interactions intensify greatly, suggesting that the pandemic has created a tight link between the health and economic situation and the amount of news people consume. I observe that from March 2020 unemployment predates searches for news and for symptoms. Consequently, whenever searches for unemployment increase, all the other searches decrease. Conversely, when searches for any of the other topics considered increase, searches for unemployment also increase. This underscores the importance of mitigating the impact of COVID-19 on unemployment to avoid that this issue swallows all others in the mind of the people

Advertising · Business · Computer security · Coronavirus disease 2019 (COVID-19) · Demographic economics · Economic growth · Economics · Exploit · Pandemic · Political science · Proxy (statistics) · Unemployment · Computer Science · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Data-Driven Disease Surveillance · Medicine