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.
摘要：
本系统综述,遵循PRISMA指南，仔细检查拉沙热研究中使用的数学模型。分析揭示了模型和数据中固有的异质性，对参数估计提出了重大挑战。虽然健康和行为干预在减轻疾病传播方面表现出希望，它们的功效取决于上下文因素。通过这次审查发现了关键的差距，局限性,以及未来研究的途径，需要增加建模方法的协调和标准化。对季节和空间变化的考虑是需要进行针对性调查的关键因素。新出现的疾病的永久威胁，再加上拉沙热对公众健康的持久影响，强调了对数学建模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，它的最佳利用要求多学科合作，完善的数据收集方法，以及对复杂疾病动态的丰富理解。这种全面的方法对于有效减轻拉沙热的负担和保护弱势群体的健康至关重要。
