量化对间日疟原虫干预措施的影响:针对具体国家的使用模式

IF 3 3区 医学 Q2 INFECTIOUS DISEASES Epidemics Pub Date : 2024-02-05 DOI:10.1016/j.epidem.2024.100747
C. Champagne , M. Gerhards , J.T. Lana , A. Le Menach , E. Pothin
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引用次数: 0

摘要

为了评估各种干预策略对低流行率环境中无显着季节性模式的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、大规模用药和反应性病例检测等干预措施,可在确定性和随机性框架内实施。该模型以 R 软件包的形式提供,用户可以使用自己的数据对其进行校准和模拟。虽然我们仅在虚构数据上说明了其用途,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,该模型可以成为战略规划、实施和资源调动的有用工具。
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Quantifying the impact of interventions against Plasmodium vivax: A model for country-specific use

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.

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来源期刊
Epidemics
Epidemics INFECTIOUS DISEASES-
CiteScore
6.00
自引率
7.90%
发文量
92
审稿时长
140 days
期刊介绍: Epidemics publishes papers on infectious disease dynamics in the broadest sense. Its scope covers both within-host dynamics of infectious agents and dynamics at the population level, particularly the interaction between the two. Areas of emphasis include: spread, transmission, persistence, implications and population dynamics of infectious diseases; population and public health as well as policy aspects of control and prevention; dynamics at the individual level; interaction with the environment, ecology and evolution of infectious diseases, as well as population genetics of infectious agents.
期刊最新文献
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