Log In Sign Up

Are We There Yet? Big Data Significantly Overestimates COVID-19 Vaccination in the US

by   Valerie C. Bradley, et al.

Public health efforts to control the COVID-19 pandemic rely on accurate surveys. However, estimates of vaccine uptake in the US from Delphi-Facebook, Census Household Pulse, and Axios-Ipsos surveys exhibit the Big Data Paradox: the larger the survey, the further its estimate from the benchmark provided by the Centers for Disease Control and Prevention (CDC). In April 2021, Delphi-Facebook, the largest survey, overestimated vaccine uptake by 20 percentage points. Discrepancies between estimates of vaccine willingness and hesitancy, which have no benchmarks, also grow over time and cannot be explained through selection bias on traditional demographic variables alone. However, a recent framework on investigating Big Data quality (Meng, Annals of Applied Statistics, 2018) allows us to quantify contributing factors, and to provide a data quality-driven scenario analysis for vaccine willingness and hesitancy.


page 1

page 2

page 3

page 4


Big data, big problems: Responding to "Are we there yet?"

Bradley et al. (arXiv:2106.05818v2), as part of an analysis of the perfo...

Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts

The very first infected novel coronavirus case (COVID-19) was found in H...

Micro-Estimates of Wealth for all Low- and Middle-Income Countries

Many critical policy decisions, from strategic investments to the alloca...

Twitter Subjective Well-Being Indicator During COVID-19 Pandemic: A Cross-Country Comparative Study

This study analyzes the impact of the COVID-19 pandemic on the subjectiv...

Big Data and model-based survey sampling

Big Data are huge amounts of digital information that are automatically ...