Accepted for/Published in: JMIR Public Health and Surveillance
Date Submitted: Jun 15, 2022
Date Accepted: Dec 16, 2022
Identifying Hotspots of Tuberculosis in Nigeria using Early Warning Outbreak Recognition System: Retrospective Analysis of Implications for Active Case Finding Interventions
ABSTRACT
Background:
Undiagnosed tuberculosis (TB) cases are the major challenge to TB control in Nigeria. Though the Early Warning Outbreak Recognition System (EWORS) is primarily used to detect infectious disease outbreaks, it can be used as a case-based geospatial tool for the real-time identification of hotspot areas with TB patients' residence in clusters. TB screening targeted at such hotspot wards should yield more TB cases when compared to non-hotspot areas.
Objective:
To demonstrate the effectiveness of EWORS TB hotspot mapping as a tool for detecting areas with increased TB case yields in high TB burden States of Nigeria.
Methods:
KNCV Nigeria deployed EWORS to the 14 high burden States of Nigeria. The system used an advanced surveillance mechanism to identify TB patients’ residences in clusters, enabling it to identify areas with elevated disease spread (hotspots) at the ward level. TB screening outreach using the WHO-four-symptom screen was conducted in 175 hotspot wards and 173 non-hotspot wards selected from the same communities. Presumptive cases identified were evaluated for TB using the GeneXpert instrument or chest x-ray. Confirmed TB cases from both areas were linked to treatment. Data from the hotspot and non-hotspot wards were analyzed retrospectively for this study.
Results:
A total of 1,962,042 persons (37.4% males, 62.6% females) versus 2,025,286 persons (34.6% males, 65.4% females) participated in the community TB screening outreaches in the hotspot and non-hotspot areas, respectively. Presumptive cases among all clients screened were 268,264 (6.7%) and confirmed TB cases were 22,618 (8.4%). The number needed to screen for the hotspot and non-hotspot areas was 146.22 versus 193.44 per 10,000 population, respectively.
Conclusions:
Active TB case finding in EWORS-mapped hotspot areas yielded higher TB cases than the non-hotspot areas of 14 high burden States of Nigeria. After the intervention of EWORS, the precision to diagnose TB from presumptive increased from 0.077 to 0.103. The number of presumptive needed to diagnose a TB case decreased from 14.047 to 10.255 per 10,000 population.
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