利用尼日利亚高原北部地区的环境风险因素和空间多标准决策分析,对疟疾流行区进行空间分析和绘图。

IF 0.8 4区 医学 Q4 INFECTIOUS DISEASES
Nanlok H Nimlang, Gilles Dusserre, Sandrine Bayle, Kivanc Ertugay, Sebnem Duzgun, Janaqi Stefan
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引用次数: 0

摘要

背景目标:对疟疾易发风险点进行压缩绘图和深入分析是战略规划、病媒监测、实施必要干预措施和管理稀缺资源的重要工具,以应对尼日利亚疟疾感染带来的严峻挑战:研究利用环境风险因素和空间多标准决策分析技术,分析并绘制了高原州北部地区疟疾流行易发区的空间变化图:对环境风险因素的标准权重和疟疾风险脆弱性分层的分析表明,高风险地区的总面积为 4017.25 平方公里,低风险地区的总面积为 1294.83 平方公里,与相应的地面条件非常相似。研究结果表明,60% 的研究区域具有疟疾传播高风险的特征,尤其是在乔斯北部、乔斯南部和巴尔金拉迪地方政府辖区周围的大多数居民点。疟疾风险地图的预测能力表现出很高的准确性,曲线下面积得分为 0.989。此外,风险地图在识别疟疾热点方面表现出很高的灵敏度,灵敏度为 98%,熟练率为 54%,识别疟疾热点和冷点的统计显著性置信度为 90% 至 99%:对高原州北部地区疟疾流行易发区进行疟疾风险分析和绘图,不仅为决策者提供了识别疟疾病灶的有效工具,还能让他们更深入地了解应采取的适当干预措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial analysis and mapping of malaria endemic-prone areas using environmental risk factors and spatial multi criteria decision analysis in the Northern Zone of Plateau State, Nigeria.

Background objectives: Compressive mapping and in-depth analysis of malaria vulnerability risk foci are important tools for strategic planning, vector surveillance, implementing necessary interventions, and managing scarce resources to combat the daunting challenges of malaria infections in Nigeria.

Methods: The study utilized environmental risk factors and spatial multi-criteria decision analysis techniques to analyze and map the spatial variations in malaria-endemic prone areas within the Northern Zone of Plateau State.

Results: Analysis of the criteria's weights of environmental risk factors and the stratification of the malaria risk vulnerability revealed that high-risk areas covered a total of 4017.25 Km2, while low-risk areas covered 1294.83Km2, having a close resemblance to the corresponding ground conditions. The results showed that a significant 60% of the study areas were characterized by high risk of malaria transmission, particularly in most settlements around the Jos North, Jos South and Barkin Ladi Local Government Areas. The malaria risk map's predictive abilities demonstrated a high level of accuracy, as indicated by the area under the curve score of 0.989. Furthermore, the risk map demonstrates a high-performance rate in identifying malaria hotspots, with a sensitivity of 98%, a proficiency rate of 54%, and a statistical significance confidence level ranging from 90% to 99% for identifying malaria hotspots and coldspots.

Interpretation conclusion: The malaria risk analysis and mapping within the endemic prone areas of the Northern Zone of Plateau State not only equips policymakers with effective tools for identifying malaria foci but also offers a deeper comprehension of the appropriate intervention measures to be implemented.

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来源期刊
Journal of Vector Borne Diseases
Journal of Vector Borne Diseases INFECTIOUS DISEASES-PARASITOLOGY
CiteScore
0.90
自引率
0.00%
发文量
89
审稿时长
>12 weeks
期刊介绍: National Institute of Malaria Research on behalf of Indian Council of Medical Research (ICMR) publishes the Journal of Vector Borne Diseases. This Journal was earlier published as the Indian Journal of Malariology, a peer reviewed and open access biomedical journal in the field of vector borne diseases. The Journal publishes review articles, original research articles, short research communications, case reports of prime importance, letters to the editor in the field of vector borne diseases and their control.
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