ReviewBMJ global health2020
Modelling the pandemic: attuning models to their contexts.
Review in BMJ global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Epidemiological modelling in refugee and internally displaced people settlements: challenges and ways forward.BMJ global health · 2022Pooled it
- Epistemic preparedness.BMJ global health · 2025Review
- Policy impact of the Imperial College COVID-19 Response Team: global perspective and United Kingdom case study.Health research policy and systems · 2024Article
- Characterising information gains and losses when collecting multiple epidemic model outputs.Epidemics · 2024Article
- A dynamic approach to support outbreak management using reinforcement learning and semi-connected SEIQR models.BMC public health · 2024Article
- In search of a 'good number': knowledge controversy and population estimates in the endgame of hepatitis C elimination.BMJ global health · 2024Article
- Representations of an Ebola 'outbreak' through Story Technologies.BMJ global health · 2024Article
- Conceptualising the value of simulation modelling for public engagement with policy: a critical literature review.Health research policy and systems · 2023Review
- Pandemic modelling and model citizens: Governing COVID-19 through predictive models, sovereignty and discipline.The Sociological review · 2023Article
- Impact of COVID-19 lockdown on physical activity, insomnia, and loneliness among Spanish women and men.Scientific reports · 2023Article
- Contesting the crisis narrative: epidemic accounts in Sierra Leone, Tanzania, and Democratic Republic of the Congo.Disasters · 2023Article
- Is There Always a Negative Causality between Human Health and Environmental Degradation? Current Evidence from Rural China.International journal of environmental research and public health · 2022Article
- A call for citizen science in pandemic preparedness and response: beyond data collection.BMJ global health · 2022Review
- Making pandemics big: On the situational performance of Covid-19 mathematical models.Social science & medicine (1982) · 2022Article
- The collaborative outcomes study on health and functioning during infection times in adults (COH-FIT-Adults): Design and methods of an international online survey targeting physical and mental health effects of the COVID-19 pandemic.Journal of affective disorders · 2022Article
- National health governance, science and the media: drivers of COVID-19 responses in Germany, Sweden and the UK in 2020.BMJ global health · 2021Review
- Epidemiological models and COVID-19: a comparative view.History and philosophy of the life sciences · 2021Article
- Empowering the crowd: feasible strategies for epidemic management in high-density informal settlements. The case of COVID-19 in Northwest Syria.BMJ global health · 2021Article
- The pitfalls of modelling the effects of COVID-19 on gender-based violence: lessons learnt and ways forward.BMJ global health · 2021Review
- Excitable models: Projections, targets, and the making of futures without disease.Sociology of health & illness · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The evidence produced in mathematical models plays a key role in shaping policy decisions in pandemics. A key question is therefore how well pandemic models relate to their implementation contexts. Drawing on the cases of Ebola and influenza, we map how sociological and anthropological research contributes in the modelling of pandemics to consider lessons for COVID-19. We show how models detach from their implementation contexts through their connections with global narratives of pandemic response, and how sociological and anthropological research can help to locate models differently. This potentiates multiple models of pandemic response attuned to their emerging situations in an iterative and adaptive science. We propose a more open approach to the modelling of pandemics which envisages the model as an intervention of deliberation in situations of evolving uncertainty. This challenges the 'business-as-usual' of evidence-based approaches in global health by accentuating all science, within and beyond pandemics, as 'emergent' and 'adaptive'.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.