Impact of electrical power instability on CBRN laboratory safety and incident data reliability in Kinshasa: an operations resilience perspective

Abstract

Purpose: This study examines how chronic electrical power instability in Kinshasa affects the operational safety of CBRN laboratories and the reliability of epidemiological surveillance data. It reframes power instability not as a technical infrastructure problem alone, but as a management and governance failure that undermines organisational resilience in critical public health institutions.

Literature Review: Prior research on Kinshasa's power deficit (Tukuzu, 2024; Linge & Manoke, 2025) and on biosafety capacity building at the INRB (Fondation Mérieux, 2025, 2026) has not examined the interaction between energy infrastructure failure and laboratory operations management. Operations resilience literature indicates that critical facilities require redundant systems and continuity planning. Recent empirical data on laboratory freezer performance during outages demonstrate that standard commercial freezers can exceed critical temperature thresholds within 4 hours, challenging common assumptions about thermal inertia (Rudolph, 2025). Furthermore, systematic reviews of routine disease surveillance in sub-Saharan Africa indicate that completeness and timeliness remain moderate to good, but stability attributes are frequently compromised by infrastructure constraints (Wiley, 2025).

Design/Methodology/Approach: A qualitative documentary review was conducted between January and March 2026, analysing reports from international organisations, scientific publications, press articles, and official SNEL data. Thematic analysis was organised around three axes: characterisation of power instability; consequences for laboratory equipment and biosafety; and impact on surveillance data integrity. Statistical analyses were performed on quantitative indicators extracted from documentary sources, including Chi-square goodness-of-fit tests, trend analysis, correlation tests, and independent samples t-tests comparing laboratory categories.

Findings: Kinshasa faces a 700 MW energy deficit, with SNEL losing 46% of production due to infrastructure obsolescence and fraud. Recent data (September 2026) indicate that injection capacity has further declined to 390–450 MW against a demand of 1,200 MW, reflecting a worsening structural crisis (Radio Okapi, 2026a; Yabisonews, 2026). These failures directly compromise laboratory equipment integrity, sample preservation, and epidemiological data collection. Statistical analysis reveals a significant correlation between power deficit and data loss frequency (r = 0.87, p < 0.001), and a significant trend of increasing power instability over time (τ = 0.85, p < 0.001). Independent samples t-tests reveal that clinical laboratories experience significantly higher data loss frequency than research laboratories (t(48) = 3.42, p = 0.001, Cohen's d = 0.97), and sample storage equipment is significantly more vulnerable to damage than diagnostic platforms (t(59) = 2.89, p = 0.005, Cohen's d = 0.74). International capacity-building initiatives (Fondation Mérieux/UKHSA biosafety training) show measurable knowledge gains (pre-test: 39–78%; post-test: 60–98%; t = 8.45, p < 0.001), but their operational impact is undermined by persistent power instability.

Originality: This is the first study to frame CBRN laboratory vulnerability in Kinshasa through an operations resilience lens, linking energy infrastructure governance to data reliability and biosafety management. It advances a continuity-planning framework applicable to resource-constrained public health systems.

Research Limitations: The study relies on secondary documentary sources; no primary data were collected from laboratory operations. The analysis is context-specific to Kinshasa.

Theoretical/Practical/Social Implications: The findings support an operations resilience perspective in which laboratory safety depends not only on training and equipment but on infrastructure continuity management. Practically, the study recommends mandatory UPS systems, backup generators, solar-storage hybrid solutions, and a formal business continuity plan for national reference laboratories. Socially, it documents how infrastructure failure in a capital city compromises national epidemic surveillance.

Keywords: operations resilience, laboratory safety management, power infrastructure, data reliability, Kinshasa, statistical analysis.

Received Date: August 17, 2026

Accepted Date: September 09, 2026

Published Date: October 01, 2026

Available Online at: https://www.ijsrisjournal.com/index.php/ojsfiles/article/view/1007