A systematic review of mathematical models of Lassa fever

IF 1.9 4区 数学 Q2 BIOLOGY Mathematical Biosciences Pub Date : 2024-06-04 DOI:10.1016/j.mbs.2024.109227
Praise-God Uchechukwu Madueme, Faraimunashe Chirove
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Abstract

This systematic review, conducted following the PRISMA guidelines, scrutinizes mathematical models employed in the study of Lassa fever. The analysis revealed the inherent heterogeneity in both models and data, posing significant challenges to parameter estimation. While health and behavioral interventions exhibit promise in mitigating the disease’s spread, their efficacy is contingent upon contextual factors. Identified through this review are critical gaps, limitations, and avenues for future research, necessitating increased harmonization and standardization in modeling approaches. The considerations of seasonal and spatial variations emerge as crucial elements demanding targeted investigation. The perpetual threat of emerging diseases, coupled with the enduring public health impact of Lassa fever, underscores the imperative for sustained research endeavors and investments in mathematical modeling. The conclusion underscored that while mathematical modeling remains an invaluable tool in the combat against Lassa fever, its optimal utilization mandates multidisciplinary collaboration, refined data collection methodologies, and an enriched understanding of the intricate disease dynamics. This comprehensive approach is essential for effectively reducing the burden of Lassa fever and safeguarding the health of vulnerable populations.

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拉沙热数学模型的系统回顾。
本系统综述遵循 PRISMA 指南,仔细研究了拉沙热研究中使用的数学模型。分析表明,模型和数据都存在固有的异质性,这给参数估计带来了巨大挑战。虽然健康和行为干预有望缓解疾病的传播,但其效果取决于具体情况。本综述指出了关键的差距、局限性和未来研究的途径,因此有必要加强建模方法的协调性和标准化。对季节和空间变化的考虑成为需要有针对性调查的关键因素。新出现疾病的长期威胁,加上拉沙热对公共卫生的持久影响,突出表明了在数学建模方面进行持续研究和投资的必要性。结论强调,尽管数学建模仍然是抗击拉沙热的宝贵工具,但要充分利用它,就必须开展多学科合作,改进数据收集方法,并丰富对错综复杂的疾病动态的了解。这种综合方法对于有效减轻拉沙热的负担和保障弱势群体的健康至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Mathematical Biosciences
Mathematical Biosciences 生物-生物学
CiteScore
7.50
自引率
2.30%
发文量
67
审稿时长
18 days
期刊介绍: Mathematical Biosciences publishes work providing new concepts or new understanding of biological systems using mathematical models, or methodological articles likely to find application to multiple biological systems. Papers are expected to present a major research finding of broad significance for the biological sciences, or mathematical biology. Mathematical Biosciences welcomes original research articles, letters, reviews and perspectives.
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