2022
DOI: 10.1136/bmj-2022-070615
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Role of mathematical modelling in future pandemic response policy

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Cited by 24 publications
(21 citation statements)
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“…Modelling provides an alternative. However, although models can make good short term predictions, they face many challenges 4…”
Section: Challenges To Measuring the Resilience Of Health Systemsmentioning
confidence: 99%
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“…Modelling provides an alternative. However, although models can make good short term predictions, they face many challenges 4…”
Section: Challenges To Measuring the Resilience Of Health Systemsmentioning
confidence: 99%
“…In addition, infection may spread unnoticed within marginalised communities (which may be disproportionately affected because, for example, they live in precarious circumstances) making the size of an epidemic uncertain. Both the shock and the response are, using the word in its mathematical meaning, complex5 as they involve many diverse human responses 4…”
Section: Challenges To Measuring the Resilience Of Health Systemsmentioning
confidence: 99%
“…The COVID-19 pandemic has been with us more than three years, inflicting devastating effects on global populations and economies [1,2] and now still affecting countries in very different ways. Reviewing the COVID-19 pandemic evolution and evaluating previous responses is vital important for future pandemic preparedness [3][4][5][6].…”
Section: Introductionmentioning
confidence: 99%
“… 16 , 17 , 22 Indeed, inquiries into the science of COVID-19 have now begun, with scientific papers considering the role of mathematical models used for policy decisions. 25 …”
Section: Introductionmentioning
confidence: 99%