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Developing a Data Set for Mpox Disease: A Scoping Review and Consensus-based Classification.

Azam Sabahi¹, Hamideh Ehtesham¹, Leila Ahmadian²

¹Department of Health Information Technology, Ferdows Faculty of Medical Sciences, Birjand University of Medical Sciences, Birjand, Iran.

Journal of Infection in Developing Countries

|July 10, 2026

Summary

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This study developed a standardized data set for Mpox (formerly Monkeypox) to improve disease management and control. The comprehensive 104-element dataset includes administrative and clinical data for better public health responses.

Area of Science:

Public Health
Epidemiology
Infectious Diseases

Background:

Mpox has emerged as a significant global public health concern.
Effective disease management and control require comprehensive data collection and analysis.
A standardized dataset is needed for consistent Mpox data reporting.

Purpose of the Study:

To create a standardized data set for Mpox.
To facilitate the collection, analysis, and reporting of critical Mpox data elements.
To support global efforts in disease surveillance and response.

Main Methods:

A scoping review was conducted following PRISMA-ScR guidelines.
Searches for "minimum data set" and "Monkeypox" were performed in PubMed, Scopus, and Web of Science.

Keywords:

Mpox core data elements data set extended data elements infectious disease data public health surveillance

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Data extraction and synthesis were performed by two independent researchers.

Main Results:

16 studies met the inclusion criteria, with most research originating from the Democratic Republic of the Congo.
A total of 104 data elements were identified and categorized into administrative and clinical data.
Administrative data include demographics and socioeconomic factors; clinical data cover exposure, symptoms, diagnostics, and vaccination.

Conclusions:

The developed Mpox data set is crucial for enhancing public health responses to outbreaks.
This standardized data set will improve global disease monitoring and control efforts.
Future research should focus on validating and integrating the data set into health information systems.