# Early Detection and Surveillance of Infectious Disease Outbreaks in Nigeria : Integrating Nigerian Pidgin English (NPE) into the EPIWATCH® Platform

**Authors:** Omolara Kolawole, Ashley Quigley, Abrar A. Chughtai, Chandini R. MacIntyre

PMC · DOI: 10.1007/s10916-026-02340-1 · Journal of Medical Systems · 2026-02-13

## TL;DR

This paper shows how adding Nigerian Pidgin English to an AI system improves disease outbreak detection in Nigeria by boosting communication and surveillance.

## Contribution

The novel integration of Nigerian Pidgin English into the EPIWATCH® platform enhances infectious disease surveillance in local communities.

## Key findings

- A 315% increase in outbreak reports was observed after integrating NPE into EPIWATCH®.
- NPE integration improved interaction and communication across Nigerian communities.
- The study highlights the potential of OSINT and linguistic diversity in public health surveillance.

## Abstract

This study aimed to integrate Nigerian Pidgin English (NPE) into the Artificial Intelligence system EPIWATCH®, with the aim of providing early detection and enhanced surveillance of infectious disease outbreaks in Nigeria. The widespread use of NPE as a lingua franca, spoken by over 75 million people in Africa, improves interaction and communication within communities across Nigeria. Key search terms were translated into NPE and incorporated into EPIWATCH® for surveillance. Using publicly available outbreak reports collected by EPIWATCH® from Nigeria between 2018 and 2023, we conducted a descriptive analysis to compare outbreak detection patterns before and after the integration of NPE into the system. We observed a 315% increase in EPIWATCH® outbreak reports in March 2024 compared to the March median across 2018 to 2023, following NPE language integration. This study demonstrates the potential of leveraging technology and linguistic diversity to improve disease surveillance using open source intelligence (OSINT) and response efforts in Nigeria. Findings should be interpreted in light of the short prospective time frame, scope, contextual factors, and public source constraints, which may limit generalisability and nuance in assessing the impact of NPE integration.

The online version contains supplementary material available at 10.1007/s10916-026-02340-1.

## Full-text entities

- **Diseases:** Infectious Disease (MESH:D003141)

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12901078/full.md

## References

33 references — full list in the complete paper: https://tomesphere.com/paper/PMC12901078/full.md

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Source: https://tomesphere.com/paper/PMC12901078