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Updated: Jun 28, 2025

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
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在加纳2016-2021年5岁以下儿童疟疾风险的时空变化建模

Justice Moses K Aheto1,2,3,4, Lynette J Menezes5, Wisdom Takramah6,7

  • 1Department of Biostatistics, School of Public Health, College of Health Sciences, University of Ghana, Accra, Ghana. justiceaheto@yahoo.com.

Malaria journal
|April 9, 2024
PubMed
概括

加纳面临着高疟疾负担,特别是在5岁以下的儿童中. 这项研究在各个地区绘制了疟疾风险图,确定了针对性干预措施降低儿童死亡率的高风险地区.

关键词:
贝叶斯的方法 贝叶斯的方法地理空间的方法.在这里,INLALA.集成嵌套拉普拉斯近似方法互动式基于网络的地图绘制.疟疾:疟疾是一种疾病.绘制疟疾风险的地图时间空间方法 时间空间方法撒哈拉以南非洲地区.5岁以下的疟疾儿童

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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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