Risk Anal. 2019 Mar;39(3):599-615. doi: 10.1111/risa.13189. Epub 2018 Oct 4.
The assumptions underlying quantitative microbial risk assessment (QMRA) are simple and biologically plausible, but QMRA predictions have never been validated for many pathogens. The objective of this study was to validate QMRA predictions against epidemiological measurements from outbreaks of waterborne gastrointestinal disease. I screened 2,000 papers and identified 12 outbreaks with the necessary data: disease rates measured using epidemiological methods and pathogen concentrations measured in the source water. Eight of the 12 outbreaks were caused by Cryptosporidium, three by Giardia, and one by norovirus. Disease rates varied from 5.5 × 10 to 1.1 × 10 cases/person-day, and reported pathogen concentrations varied from 1.2 × 10 to 8.6 × 10 per liter. I used these concentrations with single-hit dose-response models for all three pathogens to conduct QMRA, producing both point and interval predictions of disease rates for each outbreak. Comparison of QMRA predictions to epidemiological measurements showed good agreement; interval predictions contained measured disease rates for 9 of 12 outbreaks, with point predictions off by factors of 1.0-120 (median = 4.8). Furthermore, 11 outbreaks occurred at mean doses of less than 1 pathogen per exposure. Measured disease rates for these outbreaks were clearly consistent with a single-hit model, and not with a "two-hit" threshold model. These results demonstrate the validity of QMRA for predicting disease rates due to Cryptosporidium and Giardia.
定量微生物风险评估 (QMRA) 的假设简单且具有生物学合理性,但对于许多病原体,QMRA 预测从未经过验证。本研究的目的是根据水传播胃肠道疾病暴发的流行病学测量结果来验证 QMRA 预测。我筛选了 2000 篇论文,确定了 12 起具有必要数据的暴发:使用流行病学方法测量的疾病发病率和水源中测量的病原体浓度。这 12 起暴发中有 8 起是由隐孢子虫引起的,3 起是由贾第虫引起的,1 起是由诺如病毒引起的。疾病发病率从 5.5×10 到 1.1×10 例/人-日不等,报告的病原体浓度从 1.2×10 到 8.6×10 每升不等。我使用这些浓度和三种病原体的单次命中剂量反应模型进行 QMRA,为每个暴发产生疾病发病率的点预测和区间预测。将 QMRA 预测与流行病学测量结果进行比较表明,两者之间具有良好的一致性;区间预测包含了 12 次暴发中的 9 次暴发的测量疾病发病率,点预测的偏差因素在 1.0-120 之间(中位数为 4.8)。此外,11 次暴发发生在每次暴露的平均剂量低于 1 个病原体的情况下。这些暴发的测量疾病发病率显然与单次命中模型一致,而与“两次命中”阈值模型不一致。这些结果表明,QMRA 对于预测隐孢子虫和贾第虫引起的疾病发病率是有效的。