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量化针对间日疟原虫的干预措施的影响:一种供各国具体使用的模型。

Quantifying the impact of interventions against Plasmodium vivax: A model for country-specific use.

作者信息

Champagne C, Gerhards M, Lana J T, Le Menach A, Pothin E

机构信息

Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.

Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.

出版信息

Epidemics. 2024 Mar;46:100747. doi: 10.1016/j.epidem.2024.100747. Epub 2024 Feb 5.

Abstract

In order to evaluate the impact of various intervention strategies on Plasmodium vivax dynamics in low endemicity settings without significant seasonal pattern, we introduce a simple mathematical model that can be easily adapted to reported case numbers similar to that collected by surveillance systems in various countries. The model includes case management, vector control, mass drug administration and reactive case detection interventions and is implemented in both deterministic and stochastic frameworks. It is available as an R package to enable users to calibrate and simulate it with their own data. Although we only illustrate its use on fictitious data, by simulating and comparing the impact of various intervention combinations on malaria risk and burden, this model could be a useful tool for strategic planning, implementation and resource mobilization.

摘要

为了评估各种干预策略对无明显季节性模式的低流行地区间日疟原虫动态的影响,我们引入了一个简单的数学模型,该模型可轻松适用于与各国监测系统收集的病例数类似的报告病例数。该模型包括病例管理、病媒控制、大规模药物管理和反应性病例检测干预措施,并在确定性和随机性框架中实施。它作为一个R包提供,使用户能够用自己的数据对其进行校准和模拟。虽然我们仅用虚拟数据说明其用法,但通过模拟和比较各种干预组合对疟疾风险和负担的影响,该模型可能成为战略规划、实施和资源调动的有用工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73bb/10944169/1b7304ca3d41/gr1.jpg

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