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肯尼亚西部高地城郊资源有限地区疟疾流行情况的时空特征分析

Spatio-temporal characterization of malaria prevalence in a peri-urban resource limited setting of Western Kenya Highlands.

作者信息

Muzame Beatrice Aleyo, Omukunda Elizabeth, Mulama David, Okoth Patrick

机构信息

Department of Biological Sciences, School of Natural Sciences, Masinde Muliro University of Science and Technology (MMUST), P.O.Box 190-50100, Kakamega, Kenya.

出版信息

Afr Health Sci. 2024 Sep;24(3):98-111. doi: 10.4314/ahs.v24i3.14.

Abstract

BACKGROUND

Malaria is the main killer disease in sub-Sahara Africa.

OBJECTIVE

The study identified malaria prevalence patterns in relation to space and time trends in a peri-urban resource limited setting of Western Kenya highlands aimed at strengthening implementation of malaria control strategies.

METHOD

A longitudinal study was carried out in Mbale town and its environs, Vihiga County, from December 2019 to November 2020. Among patients who presented themselves at Mbale Provincial Rural Training health center for different medical issues, 768 malaria confirmed patients were recruited and signed consent before the study commenced. Data was collected using questionnaire and microscopy which was presented through graphs, frequency, means and analyzed using linear regression. P-value ≤ 0.05 was considered statistically significant.

RESULTS

malaria constituted 98.7%,while , , and constituted 1.3%. Linear regression analysis showed effect of age, gender and location on malaria prevalence as (R2 = 0.7, [F (3,764) = 1.854], p < 0 136). Malaria prevalence varied in different months due to changes in amount of rainfall and temperatures received.

CONCLUSION

Spatio-temporal characterization and many mosquito breeding grounds influenced malaria prevalence in the study area. Malaria control strategies should be strengthened in relation to space and time-trend.

摘要

背景

疟疾是撒哈拉以南非洲的主要致命疾病。

目的

本研究确定了肯尼亚西部高地城郊资源有限地区与空间和时间趋势相关的疟疾流行模式,旨在加强疟疾控制策略的实施。

方法

2019年12月至2020年11月在维希加县姆巴莱镇及其周边地区进行了一项纵向研究。在因不同医疗问题到姆巴莱省级农村培训健康中心就诊的患者中,招募了768名确诊疟疾患者,并在研究开始前签署了知情同意书。使用问卷和显微镜收集数据,通过图表、频率、均值呈现,并使用线性回归进行分析。P值≤0.05被认为具有统计学意义。

结果

疟疾占98.7%,而[此处原文缺失部分内容]占1.3%。线性回归分析显示年龄、性别和地点对疟疾流行率的影响为(R2 = 0.7,[F(3,764)=1.854],p < 0.136)。由于降雨量和气温的变化,不同月份的疟疾流行率有所不同。

结论

时空特征和众多蚊虫滋生地影响了研究区域的疟疾流行率。应根据空间和时间趋势加强疟疾控制策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7532/12327125/54a58befc09f/AFHS2403-0098Fig1.jpg

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