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Updated: May 15, 2025

Multiplexed Isothermal Amplification Based Diagnostic Platform to Detect Zika, Chikungunya, and Dengue 1
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Multiplexed Isothermal Amplification Based Diagnostic Platform to Detect Zika, Chikungunya, and Dengue 1

Published on: March 13, 2018

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使用INLA (集成嵌套拉普拉斯近似) 预测登革热的时空动态,在印度尼西亚的约加雅加塔

Marko Ferdian Salim1,2, Tri Baskoro Tunggul Satoto3, Danardono4

  • 1Doctorate Program of Medical and Health Science, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia. markoferdiansalim@ugm.ac.id.

BMC public health
|April 8, 2025
PubMed
概括

这项研究开发了一个时空贝叶斯模型来预测登革热发病率,确定降雨量,温度和湿度是关键因素. 该模型为登革热爆发提供了改进的预测和有针对性的载体控制.

关键词:
登革热是因为登革热.疫情爆发的原因是预测模型的预测模型.时间空间层次的贝叶斯主义者.

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Visualizing Dengue Virus through Alexa Fluor Labeling09:11

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Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

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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