The effect of the definition of 'pandemic' on quantitative assessments of infectious disease outbreak risk

被引:16
|
作者
Singer, Benjamin J. [1 ]
Thompson, Robin N. [2 ,3 ]
Bonsall, Michael B. [1 ]
机构
[1] Univ Oxford, Dept Zool, Oxford, England
[2] Univ Oxford, Christ Church, Oxford, England
[3] Univ Oxford, Math Inst, Oxford, England
基金
英国生物技术与生命科学研究理事会;
关键词
STOCHASTIC EPIDEMICS; INFLUENZA; SPREAD; DURATION; MODELS; TRANSMISSIBILITY; MULTISCALE; MOBILITY; NETWORK; HEALTH;
D O I
10.1038/s41598-021-81814-3
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In the early stages of an outbreak, the term 'pandemic' can be used to communicate about infectious disease risk, particularly by those who wish to encourage a large-scale public health response. However, the term lacks a widely accepted quantitative definition. We show that, under alternate quantitative definitions of 'pandemic', an epidemiological metapopulation model produces different estimates of the probability of a pandemic. Critically, we show that using different definitions alters the projected effects of key parameters-such as inter-regional travel rates, degree of pre-existing immunity, and heterogeneity in transmission rates between regions-on the risk of a pandemic. Our analysis provides a foundation for understanding the scientific importance of precise language when discussing pandemic risk, illustrating how alternative definitions affect the conclusions of modelling studies. This serves to highlight that those working on pandemic preparedness must remain alert to the variability in the use of the term 'pandemic', and provide specific quantitative definitions when undertaking one of the types of analysis that we show to be sensitive to the pandemic definition.
引用
收藏
页数:13
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