What kind of epidemiological modeling works well? This is determined by the nature of the target: the relevant causal relations are unstable across contexts. I look at two influential examples of modeling from the Covid pandemic. The first is the paper from Imperial College London, which, in March 2020, was influential in persuading the UK government to impose a lockdown. Because it assumes stability, this first example of modeling fails. A different modeling strategy is required, one less ambitious but more effective. This is illustrated by a second paper from Imperial College London, which, in December 2020, first estimated the transmissibility of the Alpha variant
Epidemiological models directly shape policy responses to public health crises. We argue that they a...
Funding: This work was supported by Engineering and Physical Sciences Research Council (EPSRC) grant...
We contrast the canonical epidemiological SIR model due to Kermack and McKendrick (1927) with more t...
What kind of epidemiological modeling works well, and what kind doesn’t? This is determined by the n...
Models not only represent but may also influence their targets in important ways. While models’ abil...
Models may not only represent, but also influence their targets in important ways. While models’ abi...
COVID-19 has substantially affected our lives during 2020. Since its beginning, several epidemiologi...
Mathematical models have become central to the public and policy debate about the recent COVID-19 pa...
Models not only represent but may also influence their targets in important ways. While models’ abil...
In this paper, we trace how mathematical models are made 'evidence enough' and 'useful for policy'. ...
Analytical expressions and approximations from simple models have performed a pivotal role in our un...
The COVID-19 pandemic has seen infectious disease modelling at the forefront of government decision-...
The COVID-19 pandemic has created a public health emergency unprecedented in this century. The lack ...
A longstanding debate exists on whether ecological phenomena should be modelled ‘top-down’ (modellin...
Estimates from infectious disease models have constituted a significant part of the scientific evide...
Epidemiological models directly shape policy responses to public health crises. We argue that they a...
Funding: This work was supported by Engineering and Physical Sciences Research Council (EPSRC) grant...
We contrast the canonical epidemiological SIR model due to Kermack and McKendrick (1927) with more t...
What kind of epidemiological modeling works well, and what kind doesn’t? This is determined by the n...
Models not only represent but may also influence their targets in important ways. While models’ abil...
Models may not only represent, but also influence their targets in important ways. While models’ abi...
COVID-19 has substantially affected our lives during 2020. Since its beginning, several epidemiologi...
Mathematical models have become central to the public and policy debate about the recent COVID-19 pa...
Models not only represent but may also influence their targets in important ways. While models’ abil...
In this paper, we trace how mathematical models are made 'evidence enough' and 'useful for policy'. ...
Analytical expressions and approximations from simple models have performed a pivotal role in our un...
The COVID-19 pandemic has seen infectious disease modelling at the forefront of government decision-...
The COVID-19 pandemic has created a public health emergency unprecedented in this century. The lack ...
A longstanding debate exists on whether ecological phenomena should be modelled ‘top-down’ (modellin...
Estimates from infectious disease models have constituted a significant part of the scientific evide...
Epidemiological models directly shape policy responses to public health crises. We argue that they a...
Funding: This work was supported by Engineering and Physical Sciences Research Council (EPSRC) grant...
We contrast the canonical epidemiological SIR model due to Kermack and McKendrick (1927) with more t...