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Peer reviewedOpen accessLassaCOVID-19

Temporal dynamics, climate associations, and surveillance performance of Lassa fever in Nigeria, 2020–2025: a national longitudinal analysis

Osong Public Health and Research Perspectives·

Ayokunle John Tadema, Faith Mmesoma Nwosu, Oluwatumilara Ayokunle Abimbola

DOI
10.24171/j.phrp.2026.0226
PMID
PMCID
OpenAlex
Study type
Ecological study
Publisher
Korea Disease Control and Prevention Agency
Article type
journal-article
Integrity
current

Why this research matters now

The observed decline in diagnostic verification alongside sustained mortality suggests potential gaps in current monitoring frameworks. Recognizing environmental drivers and integrating cross-sectoral health approaches could strengthen future outbreak preparedness and response strategies.

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Structured evidence summary

Research question

What temporal patterns, diagnostic verification rates, environmental correlations, and pandemic-related disruptions characterized national Lassa fever reporting in Nigeria between 2020 and 2025?

Study design

Researchers applied an ecological framework to analyze nearly six years of continuous national surveillance records using regression, correlation, and interrupted time-series modeling techniques.

Population and setting

Aggregated national-level data encompassing all reported Lassa fever incidents across Nigeria throughout the specified five-year window.

Main findings

Laboratory confirmation rates decreased significantly over time, while the case fatality proportion remained stable near fifteen percent. Weekly rainfall showed an inverse relationship with case volumes, whereas warmer conditions correlated positively with transmission increases. Seasonal peaks demonstrated substantially higher incidence than quieter periods, and pandemic movement restrictions temporarily lowered confirmed reports without altering initial suspicion volumes.

Public-health relevance

The observed decline in diagnostic verification alongside sustained mortality suggests potential gaps in current monitoring frameworks. Recognizing environmental drivers and integrating cross-sectoral health approaches could strengthen future outbreak preparedness and response strategies.

Important limitations

The ecological methodology explicitly prevents definitive causal conclusions regarding the observed associations. Variations in patient demographics and testing practices may also influence reported mortality figures. Because this evaluation relies exclusively on the provided abstract and metadata, comprehensive methodological details and raw datasets require consultation of the complete publication.

GIDS interpretation

This publication offers historical context regarding reporting trends and environmental correlates for Lassa fever in West Africa. It functions as reference material for understanding regional epidemiological behavior rather than indicating any active or emerging detection event.

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Related GIDS surveillance

Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.

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Evidence relationships

This article has 7 auditable classifier relationships to diseases, places, topics, and study design.

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