Effectiveness assessment of non-pharmaceutical interventions: lessons learned from the COVID-19 pandemic

A Lison, N Banholzer, M Sharma… - The Lancet Public …, 2023 - thelancet.com
Effectiveness of non-pharmaceutical interventions (NPIs), such as school closures and stay-
at-home orders, during the COVID-19 pandemic has been assessed in many studies. Such …

Masks and respirators for prevention of respiratory infections: a state of the science review

T Greenhalgh, CR MacIntyre, MG Baker… - Clinical microbiology …, 2024 - Am Soc Microbiol
This narrative review and meta-analysis summarizes a broad evidence base on the benefits—
and also the practicalities, disbenefits, harms and personal, sociocultural and environmental …

Epidemic thresholds and human mobility

M Pardo-Araujo, D García-García, D Alonso… - Scientific reports, 2023 - nature.com
A comprehensive view of disease epidemics demands a deep understanding of the complex
interplay between human behaviour and infectious diseases. Here, we propose a flexible …

[HTML][HTML] Individual transilience in the face of the COVID-19 pandemic

VL Nasi, L Jans, L Steg - Journal of Environmental Psychology, 2024 - Elsevier
Transilience, the perceived capacity to persist, adapt flexibly, and positively transform in the
face of an adversity, is a promising construct for understanding human adaptation to climate …

Challenges in estimation, uncertainty quantification and elicitation for pandemic modelling

B Swallow, P Birrell, J Blake, M Burgman, P Challenor… - Epidemics, 2022 - Elsevier
The estimation of parameters and model structure for informing infectious disease response
has become a focal point of the recent pandemic. However, it has also highlighted a …

[HTML][HTML] The challenges of data in future pandemics

N Shadbolt, A Brett, M Chen, G Marion, IJ McKendrick… - Epidemics, 2022 - Elsevier
The use of data has been essential throughout the unfolding COVID-19 pandemic. We have
needed it to populate our models, inform our understanding, and shape our responses to the …

[HTML][HTML] Data-driven mathematical modeling approaches for COVID-19: A survey

J Demongeot, P Magal - Physics of Life Reviews, 2024 - Elsevier
In this review, we successively present the methods for phenomenological modeling of the
evolution of reported and unreported cases of COVID-19, both in the exponential phase of …

The importance of investing in data, models, experiments, team science, and public trust to help policymakers prepare for the next pandemic

R Grieve, Y Yang, S Abbott, GR Babu… - PLOS Global Public …, 2023 - journals.plos.org
The COVID-19 pandemic has brought about valuable insights regarding models, data, and
experiments. In this narrative review, we summarised the existing literature on these three …

[HTML][HTML] The effect of non-pharmaceutical interventions on COVID-19 outcomes: A heterogeneous age-related generalisation of the SEIR model

JM Mendes, PS Coelho - Infectious Disease Modelling, 2023 - Elsevier
Successive generalisations of the basic SEIR model have been proposed to accommodate
the different needs of the organisations handling the SARS-CoV-2 epidemic and the …

[HTML][HTML] Modelling: understanding pandemics and how to control them

G Marion, L Hadley, V Isham, D Mollison… - Epidemics, 2022 - Elsevier
New disease challenges, societal demands and better or novel types of data, drive
innovations in the structure, formulation and analysis of epidemic models. Innovations in …