<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>50(1)</volume><submitter>Kolawole O</submitter><pubmed_abstract>This study aimed to integrate Nigerian Pidgin English (NPE) into the Artificial Intelligence system EPIWATCH&lt;sup>®&lt;/sup>, 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&lt;sup>®&lt;/sup> for surveillance. Using publicly available outbreak reports collected by EPIWATCH&lt;sup>®&lt;/sup> 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&lt;sup>®&lt;/sup> out</pubmed_abstract><journal>Journal of medical systems</journal><pagination>22</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12901078</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Early Detection and Surveillance of Infectious Disease Outbreaks in Nigeria  : Integrating Nigerian Pidgin English (NPE) into the EPIWATCH&amp;lt;sup&amp;gt;®&amp;lt;/sup&amp;gt; Platform.</pubmed_title><pmcid>PMC12901078</pmcid><pubmed_authors>Kolawole O</pubmed_authors><pubmed_authors>Chughtai AA</pubmed_authors><pubmed_authors>MacIntyre CR</pubmed_authors><pubmed_authors>Quigley A</pubmed_authors></additional><is_claimable>false</is_claimable><name>Early Detection and Surveillance of Infectious Disease Outbreaks in Nigeria  : Integrating Nigerian Pidgin English (NPE) into the EPIWATCH&amp;lt;sup&amp;gt;®&amp;lt;/sup&amp;gt; Platform.</name><description>This study aimed to integrate Nigerian Pidgin English (NPE) into the Artificial Intelligence system EPIWATCH&lt;sup>®&lt;/sup>, 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&lt;sup>®&lt;/sup> for surveillance. Using publicly available outbreak reports collected by EPIWATCH&lt;sup>®&lt;/sup> 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&lt;sup>®&lt;/sup> out</description><dates><release>2026-01-01T00:00:00Z</release><publication>2026 Feb</publication><modification>2026-07-06T03:21:50.344Z</modification><creation>2026-07-06T03:11:06.452Z</creation></dates><accession>S-EPMC12901078</accession><cross_references><pubmed>41680559</pubmed><doi>10.1007/s10916-026-02340-1</doi></cross_references></HashMap>