ReviewEcoHealth2026
Analysis of Lassa Fever Incidence in Nigeria Demonstrates a Clear Climate-Disease Interaction.
Review in EcoHealth, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lassa fever remains a major public health concern in Nigeria, where climatic variability, ecological dynamics, and socio-behavioral factors combine to influence transmission patterns. This review synthesizes current evidence on how atmospheric conditions shape Lassa fever incidence through their effects on ecosystems, rodent reservoirs, and human exposure pathways. Drawing on studies in epidemiology, disease ecology, climate science and remote sensing, the review highlights that temperature, rainfall, humidity, vegetation change and large-scale climatic oscillations all contribute to fluctuations in Mastomys natalensis populations which serve as the primary reservoir of Lassa virus. These climatic drivers modify food availability, breeding cycles and habitat suitability for rodents which in turn affect the probability of viral spillover. Modeling approaches including statistical regression, time series analysis, ecological niche modeling and spatiotemporal remote sensing demonstrate that environmental variables significantly improve predictions of disease risk. However, important gaps remain including limited long-term ecological data, underreporting in surveillance systems, insufficient integration of rodent ecology with climate data and a need for more comprehensive socio-behavioral studies. The review recommends future directions such as sustained monitoring of Mastomys populations, high-resolution climate-sensitive modeling, genomic analysis of Lassa virus across climatic gradients and multidisciplinary approaches that combine environmental science with public health research. Improving climate-informed surveillance and early warning systems is essential for strengthening preparedness and reducing the burden of Lassa fever in Nigeria.
Indexed as
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.