On the public citation graph

Searching for the Peak Google Trends and the COVID-19 Outbreak in Italy

https://doi.org/10.2139/ssrn.3569909
0 signed · 23 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/jae.2476openalex-snapshot
Exponent of Cross‐Sectional Dependence: Estimation and Inference
inferredcites →https://doi.org/10.1007/s00181-020-01875-7openalex-snapshot
General diagnostic tests for cross-sectional dependence in panels
inferredcites →https://doi.org/10.1016/j.cgh.2020.06.058openalex-snapshot
Increased Internet Search Interest for GI Symptoms May Predict COVID-19 Cases in US Hotspots
inferredcites →https://doi.org/10.1016/j.jeconom.2015.03.007openalex-snapshot
Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors
inferredcites →https://doi.org/10.1038/d41586-020-01008-1openalex-snapshot
Why daily death tolls have become unusually important in understanding the coronavirus pandemic
inferredcites →https://doi.org/10.1038/nature07634openalex-snapshot
Detecting influenza epidemics using search engine query data
inferredcites →https://doi.org/10.1038/s41467-020-18050-2openalex-snapshot
The geography of COVID-19 spread in Italy and implications for the relaxation of confinement measures
inferredcites →https://doi.org/10.1038/s41598-020-77275-9openalex-snapshot
COVID-19 predictability in the United States using Google Trends time series
inferredcites →https://doi.org/10.1038/s41598-020-77316-3openalex-snapshot
Tracking COVID-19 using taste and smell loss Google searches is not a reliable strategy
inferredcites →https://doi.org/10.1073/pnas.1515373112openalex-snapshot
Accurate estimation of influenza epidemics using Google search data via ARGO
inferredcites →https://doi.org/10.1080/00343404.2017.1347612openalex-snapshot
Stochastic multi-attribute acceptability analysis (SMAA): an application to the ranking of Italian regions
inferredcites →https://doi.org/10.1111/j.1368-423x.2010.00330.xopenalex-snapshot
Weak and strong cross‐section dependence and estimation of large panels
inferredcites →https://doi.org/10.1111/j.1468-0084.2008.00513.xopenalex-snapshot
A Simple Test for Cointegration in Dependent Panels with Structural Breaks*
inferredcites →https://doi.org/10.1371/journal.pone.0023610openalex-snapshot
Assessing Google Flu Trends Performance in the United States during the 2009 Influenza Virus A (H1N1) Pandemic
inferredcites →https://doi.org/10.2139/ssrn.625981openalex-snapshot
Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.jbi.2021.103818openalex-snapshot
Population stratification enables modeling effects of reopening policies on mortality and hospitalization rates
inferred← citeshttps://doi.org/10.1038/s41598-020-77316-3openalex-snapshot
Tracking COVID-19 using taste and smell loss Google searches is not a reliable strategy
inferred← citeshttps://doi.org/10.1145/3524458.3547242openalex-snapshot
Tracking socio-economic activities in European countries with unconventional data
inferred← citeshttps://doi.org/10.2139/ssrn.3627754openalex-snapshot
Googling Unemployment During the Pandemic: Inference and Nowcast Using Search Data
inferred← citeshttps://doi.org/10.2196/26385openalex-snapshot
Interests, Motives, and Psychological Burdens in Times of Crisis and Lockdown: Google Trends Analysis to Inform Policy Makers
inferred← citeshttps://doi.org/10.3390/ijerph191912394openalex-snapshot
Forecasting and Surveillance of COVID-19 Spread Using Google Trends: Literature Review
inferred← citeshttps://doi.org/10.4995/carma2024.2024.19017openalex-snapshot
6th International Conference on Advanced Research Methods and Analytics - CARMA 2024
inferred← citeshttps://doi.org/10.7717/peerj.17455openalex-snapshot
Public transit mobility as a leading indicator of COVID-19 transmission in 40 cities during the first wave of the pandemic
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.