Prioritizing the location of vaccination centres during the COVID-19 pandemic by bike in the Netherlands.

IF 1 4区 医学 Q4 HEALTH CARE SCIENCES & SERVICES
Geospatial Health Pub Date : 2025-01-23 Epub Date: 2025-03-03 DOI:10.4081/gh.2025.1293
Adel Al-Huraibi, Sherif Amer, Justine Blanford
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引用次数: 0

Abstract

Once a vaccine against COVID-19 had been developed, distribution strategies were needed to vaccinate large numbers of the population as efficiently as possible. In this study we explored the geographical accessibility of vaccination centres and examined their optimal location. To achieve this, we used open-source data. For the analysis we assessed the centre-to-population ratio served to assess inequalities and examined the optimal number and location of centres needed to serve 50%, 70% and 85% of the population, while ensuring physical accessibility using a common mode of transportation, the bicycle. The Location Set Covering Problem (LSCP) model was used to determine the lowest number of vaccination centres needed and assess where these should be located for each Municipal Health Service (GGD) region in The Netherlands. Our analysis identified an unequal distribution of health centres by GGD region, with a primary concentration of vaccination locations in the central region of the Netherlands. GGD Region Noord en Oost Gelderland (N=34), Utrecht (N=29) and Hollands-Midden (N=26) had the highest numbers, while the lowest were found in West-Brabant (N=1), Brabant-Zuidoost (N=2), with Kennemerland, Hollands-Noorden, Groningen and Flevoland (N=3) each. The centre-to-population ratio ranged from 1 centre serving 22,000 people (Noord en Oost Gelderland) to 1 centre serving 672,000 people (West Brabant region). The location-allocation analysis identified several regions that would benefit by adding more centres, most of which would serve densely populated regions previously neglected by the existing vaccination strategy. The number of centres needed ranged from 110 to 322 to achieve 50% and 85% population coverage respectively. In conclusion, location-allocation models coupled with Geographic Information Systems (GIS) can aid decision-making efforts during mass vaccination efforts. To increase effectiveness, a nuanced distribution approach considering accessibility and coverage would be useful. The methodology presented here is valuable for aiding decisionmakers in providing optimized locally adapted crucial health services accessible for the population, such as vaccination centres.

COVID-19 疫苗研制成功后,需要制定分配策略,以便尽可能高效地为大量人口接种疫苗。在这项研究中,我们探讨了疫苗接种中心的地理可达性,并研究了其最佳位置。为此,我们使用了公开来源的数据。在分析中,我们评估了中心与人口的比例,以评估不平等现象,并研究了为 50%、70% 和 85% 的人口提供服务所需的中心的最佳数量和位置,同时确保使用自行车这一常见交通方式的实际可达性。我们采用了 "位置集合覆盖问题"(LSCP)模型来确定所需的最低疫苗接种中心数量,并评估荷兰各市卫生局(GGD)地区的疫苗接种中心位置。我们的分析发现,各 GGD 地区的医疗中心分布不均,疫苗接种地点主要集中在荷兰中部地区。GGD地区中,Noord en Oost Gelderland(34个)、Utrecht(29个)和Hollands-Midden(26个)的数量最多,而数量最少的是West-Brabant(1个)、Brabant-Zuidoost(2个)以及Kennemerland、Hollands-Noorden、Groningen和Flevoland(各3个)。中心与人口的比例从 1 个中心服务 22,000 人(Noord en Oost Gelderland)到 1 个中心服务 672,000 人(West Brabant 地区)不等。位置分配分析确定了几个可通过增设更多中心而受益的地区,其中大多数中心将服务于人口稠密地区,而这些地区以前曾被现有疫苗接种战略所忽视。要实现 50% 和 85% 的人口覆盖率,所需的中心数量分别为 110 至 322 个不等。总之,地点分配模型与地理信息系统(GIS)相结合,可以帮助大规模疫苗接种工作中的决策制定。为了提高效率,考虑到可达性和覆盖率的细致分配方法将非常有用。本文介绍的方法对于帮助决策者提供适合当地情况的优化关键医疗服务(如疫苗接种中心)很有价值。
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
Geospatial Health
Geospatial Health 医学-公共卫生、环境卫生与职业卫生
CiteScore
2.40
自引率
11.80%
发文量
48
审稿时长
12 months
期刊介绍: The focus of the journal is on all aspects of the application of geographical information systems, remote sensing, global positioning systems, spatial statistics and other geospatial tools in human and veterinary health. The journal publishes two issues per year.
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