Unconventional data, unprecedented insights: leveraging non-traditional data during a pandemic.

ABSTRACT:

Introduction

The COVID-19 pandemic prompted new interest in non-traditional data sources to inform response efforts and mitigate knowledge gaps. While non-traditional data offers some advantages over traditional data, it also raises concerns related to biases, representativity, informed consent and security vulnerabilities. This study focuses on three specific types of non-traditional data: mobility, social media, and participatory surveillance platform data. Qualitative results are presented on the successes, challenges, and recommendations of key informants who used these non-traditional data sources during the COVID-19 pandemic in Spain and Italy.

Methods

A qualitative semi-structured methodology was conducted through interviews with experts in artificial intelligence, da

SUBMITTER: Bolt K 

PROVIDER: S-EPMC10986850 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature