Can mathematical modelling solve the current Covid-19 crisis?

被引：79

作者：

Panovska-Griffiths, Jasmina ^{[1
,2
,3
]}

机构：

[1] UCL, Inst Epidemiol & Healthcare, Dept Appl Hlth Res, London, England

[2] UCL, Inst Global Hlth, Inst Epidemiol & Healthcare, London, England

[3] Univ Oxford, Queens Coll, Oxford, England

来源：

BMC PUBLIC HEALTH | 2020年 / 20卷 / 01期

关键词：

D O I：

10.1186/s12889-020-08671-z

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

Since COVID-19 transmission started in late January, mathematical modelling has been at the forefront of shaping the decisions around different non-pharmaceutical interventions to confine its' spread in the UK and worldwide. This Editorial discusses the importance of modelling in understanding Covid-19 spread, highlights different modelling approaches and suggests that while modelling is important, no one model can give all the answers.

引用

页数：3

共 7 条

[1]

[Anonymous], **NON-TRADITIONAL**

[2]

[Anonymous], 2020, New Scientist

[3] Mathematical models to characterize early epidemic growth: A review [J].