利用多变量环境变化对拉各斯州疟疾患病率进行建模

Olusola Gabriel Omogunloye, O. Abiodun, O. A. Olunlade, E. E. Epuh, Ifidon Asikolo, J. Odumosu
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引用次数: 1

摘要

本研究的目的是确定环境因素对拉各斯州地方政府区域内疟疾流行率的显著影响。所使用的方法是利用2009-2013年同一时间段内环境数据记录的疟疾流行病例的5年数据,对拉各斯州记录的这些不同环境因素与疟疾流行病例进行统计分析,并进一步利用GIS显示疟疾高严重病例和低疟疾病例的各个地方政府区域。该分析结果表明,疟疾流行病例与降雨、温度和相对湿度等环境因素之间存在显著关系,这有助于建立预测模型。这项研究工作的成果可以帮助政府、拉各斯州卫生部以及当地和国际捐助机构了解该州最易受疟疾流行影响的地方政府区域,并进一步帮助它们制定政策、规划和实施战略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling Malaria Prevalence Rate in Lagos State Using Multivariate Environmental Variations
The aim of this research is to establish the significant effect of environmental factors on malaria prevalence rate within the Local Government Areas of Lagos State. The methodology used was to carry out a statistical analysis of these various environmental factors with the malaria prevalence cases that was recorded in Lagos State using a 5 years data from 2009-2013 of malaria prevalence cases recorded with environmental data for the same time frame, and to further use GIS to show the various Local Government Areas with high severe malaria cases as well as low malaria cases. The result obtained from this analysis shows a significant relationship between the malaria prevalence cases and environmental factors of rainfall, temperature and relative humidity, this helped in developing a predictive model. The outcome from this research work can help the government, Lagos State Ministry of Health and donor agencies both local and international see the Local Government Areas within the state that are most vulnerable to malaria epidemic, and further aid them in policy formation, planning and strategy implementation.
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