ReviewPaediatric respiratory reviews2020
Modelling insights into the COVID-19 pandemic.
Review in Paediatric respiratory reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
32 citing papers in PubMed.
- Resolving parameter uncertainty in SIR models through population-level serological surveillance: A synthetic study.Infectious Disease Modelling · 2026Article
- Modelling practices, data provisioning, sharing and dissemination needs for pandemic decision-making: a European survey-based modellers' perspective, 2020 to 2022.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025Article
- The impact of non-pharmaceutical interventions on COVID-19 transmission and its effect on life expectancy in two European regions.BMC public health · 2025Article
- A generalised catalytic model to assess changes in risk for multiple reinfections with SARS-CoV-2.PloS one · 2025Article
- Canada's provincial COVID-19 pandemic modelling efforts: A review of mathematical models and their impacts on the responses.Canadian journal of public health = Revue canadienne de sante publique · 2024Review
- Neural parameter calibration and uncertainty quantification for epidemic forecasting.PloS one · 2024Article
- Role of immigration and emigration on the spread of COVID-19 in a multipatch environment: a case study of India.Scientific reports · 2023Article
- Data quality model for assessing public COVID-19 big datasets.The Journal of supercomputing · 2023Article
- Systematic Guidelines for Effective Utilization of COVID-19 Databases in Genomic, Epidemiologic, and Clinical Research.Viruses · 2023Review
- Impact of public health interventions to curb SARS-CoV-2 spread assessed by an evidence-educated Delphi panel and tailored SEIR model.Zeitschrift fur Gesundheitswissenschaften = Journal of public health · 2023Article
- Insights into the quantification and reporting of model-related uncertainty across different disciplines.iScience · 2022Review
- Chimeric forecasting: combining probabilistic predictions from computational models and human judgment.BMC infectious diseases · 2022Article
- Public Opinion on European Health Policy, Lessons from the COVID-19 Pandemic.International journal of environmental research and public health · 2022Article
- Optimizing COVID-19 vaccination programs during vaccine shortages.Infectious Disease Modelling · 2022Article
- Effect of an antiviral drug control and its variable order fractional network in host COVID-19 kinetics.The European physical journal. Special topics · 2022Article
- Mathematical modeling of COVID-19 in India and its states with optimal control.Modeling earth systems and environment · 2022Article
- Investigation of Factors Affecting COVID-19 and Sixth Wave Management Using a System Dynamics Approach.Journal of healthcare engineering · 2022Article
- Merits and Limitations of Mathematical Modeling and Computational Simulations in Mitigation of COVID-19 Pandemic: A Comprehensive Review.Archives of computational methods in engineering : state of the art reviews · 2022Review
- COVID-19 vaccination strategies depend on the underlying network of social interactions.Scientific reports · 2021Article
- Predicting Hospital Resource Use During COVID-19 Surges: A Simple but Flexible Discretely Integrated Condition Event Simulation of Individual Patient-Hospital Trajectories.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2021Article
Corrections and comments
- Commented on by
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Coronavirus disease 2019 (COVID-19) is a newly emerged infectious disease caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) that was declared a pandemic by the World Health Organization on 11th March, 2020. Response to this ongoing pandemic requires extensive collaboration across the scientific community in an attempt to contain its impact and limit further transmission. Mathematical modelling has been at the forefront of these response efforts by: (1) providing initial estimates of the SARS-CoV-2 reproduction rate, R
Indexed as
Identifiers
What OpenQuestion holds
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.