Mpox
G.h Code: GHL2022.D11.1E71
A line list outbreak identifier is of the following form:GHLYYYY.D11.CODE, comprising of these parts:
GHL: indicating this is a Global.health line list
YYYY: Year the outbreak began
D11: indicating that we are using ICD-11 codes for the rest of the identifier
ICD-11 CODE: Four letter alphanumeric code representing the pathogen. For a full list see: https://icd.who.int
Affected Area: Global
Affected Area provides the spatial reach of the outbreak.
Timespan: April 2022 - September 2022 (ongoing data available from WHO)
Timespan provides the start and end date for data related to this outbreak.
Status: Inactive
Status refers to the status for data curation as Inactive or Active. Active outbreaks are currently being updated. Inactive outbreaks are no longer being updated.The repository contains dated records of curated mpox cases from the 2022 global outbreak.
In May 2022, Clade II mpox began spreading rapidly beyond historically endemic regions, prompting international alerts. Global.health integrated fragmented data sources into a standardized digital stream—manually curating over 63,000 confirmed cases across 112 countries and territories. This dataset enabled real-time monitoring through our line list, interactive map, and briefing report, and was used by Our World in Data and others for outbreak visualization and analysis.
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OnTheDot
Tracking the 2022 Monkeypox Outbreak: Completing Our 100 Days Mission
The Global.health (G.h) team completed a 100 days mission to provide decision-makers, researchers, and the public with timely and accurate, openly accessible global line-list data for the 2022 monkeypox (MPX) outbreak. (…)
OnTheDot
Curator Review for 2022: Reflecting on the mpox and Ebola outbreaks
In 2022, the Global.health (G.h) team completed our 100 Days Mission for two emerging infectious disease outbreaks – mpox (formerly named monkeypox, May – September) and Ebola (September – December). (…)
OnTheDot
Tracking the 2022 Monkeypox Outbreak: Challenges in Data Curation
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We create data. Lots of data. The Global.health COVID-19 dataset now contains detailed information on over 100 million individual, de-identified cases from over 100 countries, including 60+ fields of metadata, comprising over 1 billion unique data points. (…)