优化农村居民点狂犬病疫苗接种计划

IF 2.1 2区 数学 Q3 GEOSCIENCES, MULTIDISCIPLINARY
Rian Botes , Inger Fabris-Rotelli , Kabelo Mahloromela , Ding-Geng Chen
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引用次数: 0

摘要

及时和有效地对农村动物进行狂犬病疫苗接种是实现群体免疫状态所必需的。对农村家庭进行有效抽样对于以最少的努力和最短的时间为最多的动物接种疫苗至关重要。本研究旨在优化用于对家庭进行抽样的空间抽样方案,以及进行挨家挨户接种疫苗的人员所经过的路线。以分钟为单位的步行时间被视为疫苗接种方案的成本,并在本文中最小化。乡村房屋的分布构成了R2中的空间点格局,因此在本研究中采用了空间点格局分析技术和一些空间采样方案。这项工作的第二个目标是为决策者提供防治狂犬病的额外工具,这种疾病在西非和中非以及亚洲的一些国家仍然流行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An optimised rabies vaccination schedule for rural settlements
The timely and efficient administration of rabies vaccinations to animals in rural villages is necessary to attain a state of herd immunity. Efficient sampling of households in a rural village is of utmost importance in reaching the most animals for vaccination, with the least effort, and in the lowest time. This research seeks to both optimise the spatial sampling scheme used to sample households, as well as the route travelled by persons performing door-to-door vaccinations. The walking time in minutes is regarded as the cost of a vaccination scheme and is minimised in this paper. The distribution of houses in a rural village constitutes a spatial point pattern in R2, and as such, spatial point pattern analysis techniques as well as some spatial sampling schemes are applied throughout this research. The penultimate aim of this work is to provide policy makers with additional tools to combat rabies, a disease which remains endemic to some countries in West and Central Africa, and Asia.
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来源期刊
Spatial Statistics
Spatial Statistics GEOSCIENCES, MULTIDISCIPLINARY-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
4.00
自引率
21.70%
发文量
89
审稿时长
55 days
期刊介绍: Spatial Statistics publishes articles on the theory and application of spatial and spatio-temporal statistics. It favours manuscripts that present theory generated by new applications, or in which new theory is applied to an important practical case. A purely theoretical study will only rarely be accepted. Pure case studies without methodological development are not acceptable for publication. Spatial statistics concerns the quantitative analysis of spatial and spatio-temporal data, including their statistical dependencies, accuracy and uncertainties. Methodology for spatial statistics is typically found in probability theory, stochastic modelling and mathematical statistics as well as in information science. Spatial statistics is used in mapping, assessing spatial data quality, sampling design optimisation, modelling of dependence structures, and drawing of valid inference from a limited set of spatio-temporal data.
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