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Updated: Sep 15, 2025

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印尼登革热出血性热的贝叶斯空间时空Poisson条件自回归模型,集成卫星生成的环境数据

Sukarna Sukarna1, Hari Wijayanto2, Yenni Angraini2

  • 1Statistics and Data Science Study Program, School of Data Science, Mathematics, and Informatics, IPB University, Dramaga, Bogor; Faculty of Mathematics and Natural Science, Universitas Negeri Makassar, Makassar.

Geospatial health
|July 18, 2025
PubMed
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印度尼西亚 印度尼西亚 印度尼西亚

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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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Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
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