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Guiding Epidemiological Models by Integrating Point of-Care Diagnostics with Disease-Surveillance Information - (PPT)

机译:用疾病监测信息整合护理点诊断指导流行病学模型 - (PPT)

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Both simple EBMs and ABMs underestimate: - number of people infected (peak of the epidemic) - time period of infection - need to analyze how additional parameters will influence these outcomes. Careful attention needed not overfit the POC data: - data sparsity - biases in regional variation of population/demographics Tame the beast of "big data" complexity: - need measures for information gain with respect to complex parameter sets.
机译:简单的EBMS和ABMS低估: - 感染的人数(疫情的峰值) - 感染时间段 - 需要分析额外参数会如何影响这些结果。仔细注意力不需要过度装备PoC数据: - 数据稀疏 - 人口/人口统计数据的区域变化中的偏差驯服“大数据”复杂性的野兽:​​ - 需要对复杂参数集进行信息增益的措施。

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