Constructing a global human epidemic database using open-source digital biosurveillance

doi:10.1038/s41597-025-04663-z

Constructing a global human epidemic database using open-source digital biosurveillance

2025-02-26

0

OA

AI

DOI：10.1038/s41597-025-04663-z

Original

Original request for help

Save

Abstract

En 中文

We developed a dataset consisting of outbreak data collected from official, open-source surveillance reports representing more than 170 pathogens, 237 countries and territories, and more than 3300 events that occurred primarily between 1963 and 2023. Here we present and analyze a subset of these data, comprising a dataset of human epidemic events with onset between 2015 and 2020. Structuring of epidemiological data in the dataset follows a specific methodology to ensure consistency across all events. This methodology has been designed to produce the most reliable spatiotemporal view of an outbreak as possible. To ensure data are true-to-source, the structured data undergoes multiple rounds of both manual and automated review and validation. The extensive and standardized nature of the dataset makes it well-suited for both descriptive epidemiology and exploring outbreak dynamics and disease emergence.

Constructing a global human epidemic database using open-source digital biosurveillance

Abstract

Journal

Organization