ArticleThe Lancet. Digital health2022
Real-time COVID-19 forecasting: challenges and opportunities of model performance and translation.
Article in The Lancet. Digital health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Computational forecasting using Swedish data in the vaccination phase of the COVID-19 pandemic: a systematic literature review deliberating modelling relevance for public health and healthcare.BMC health services research · 2026Pooled it
- Temporal epidemiology and multi-source forecasting of hemorrhagic fever with renal syndrome and leptospirosis in mainland China: An interpretable machine learning study.Preventive medicine reports · 2026Article
- Time-Series Analysis and Age-Stratified Forecasting of Diarrheal Disease in Rwanda Using SARIMA Models.Tropical medicine and infectious disease · 2026Article
- Implementing a multi-centric cohort study during the SARS-CoV-2 pandemic in a resource-constrained setting: challenges, adaptive solutions, and lessons from Brazil.Archives of public health = Archives belges de sante publique · 2026Article
- A dual-branch deep learning framework for tiered early warning of COVID-19 utilizing wastewater data.Journal of water and health · 2026Article
- The evolution of public health statistical modeling approaches and how to advance their incorporation into modern arboviral surveillance.Journal of medical entomology · 2026Article
- Reflections on predictive modeling for infectious diseases.Frontiers in public health · 2026Article
- Data generation and modeling during COVID-19: utility, barriers, and priorities for future investments in public health response.Frontiers in public health · 2026Article
- Improving outbreak forecasts through model augmentation.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- The future of pandemic modeling in support of decision making: lessons learned from COVID-19.BMC global and public health · 2025Article
- Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges.Nature communications · 2025Article
- Policy impact of the Imperial College COVID-19 Response Team: global perspective and United Kingdom case study.Health research policy and systems · 2024Article
- Lessons learned from COVID-19 modelling efforts for policy decision-making in lower- and middle-income countries.BMJ global health · 2024Article
- When are predictions useful? A new method for evaluating epidemic forecasts.BMC global and public health · 2024Article
- Article
- MAM: Flexible Monte-Carlo Agent based model for modelling COVID-19 spread.Journal of biomedical informatics · 2023Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
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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.