ArticleNature microbiology2022
Improving local prevalence estimates of SARS-CoV-2 infections using a causal debiasing framework.
Article in Nature microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06808789 (Mapping Snakebite Risk in Ghana and Rwanda), which is not on this map. Cited by 20 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.
Mapping Snakebite Risk in Ghana and Rwanda: Using Primary Data Collection and Geostatistical Techniques to Develop an Approach to Risk Estimation for Snakebite
Who cites it
20 citing papers in PubMed.
- Comparison of Four Active SARS-CoV-2 Surveillance Strategies in Representative Population Sample Points: Two-Factor Factorial Randomized Controlled Trial.JMIR public health and surveillance · 2023Trial
- Article
- Mass testing for discovery and control of COVID-19 outbreaks in adult social care: an observational study and cost-effectiveness analysis of 14 805 care homes in England.BMJ public health · 2025Article
- Epidemiological inference at the threshold of data availability: an influenza A(H1N2)v spillover event in the United Kingdom.Journal of the Royal Society, Interface · 2024Article
- Improving the representativeness of UK's national COVID-19 Infection Survey through spatio-temporal regression and post-stratification.Nature communications · 2024Article
- An evaluation of the national testing response during the COVID-19 pandemic in England: a multistage mixed-methods study protocol.BMJ open · 2024Article
- Integrating wastewater and randomised prevalence survey data for national COVID surveillance.Scientific reports · 2024Article
- Optimization of Screening Strategies for COVID-19: Scoping Review.JMIR public health and surveillance · 2024Article
- Article
- Wastewater-based surveillance models for COVID-19: A focused review on spatio-temporal models.Heliyon · 2023Review
- "Boosting" Surveillance for a More Impactful Public Health Response During Protracted and Evolving Infectious Disease Threats: Insights From the COVID-19 Pandemic.Health security · 2023Article
- Leveraging deep learning to improve vaccine design.Trends in immunology · 2023Review
- A spatio-temporal framework for modelling wastewater concentration during the COVID-19 pandemic.Environment international · 2023Article
- The importance of investing in data, models, experiments, team science, and public trust to help policymakers prepare for the next pandemic.PLOS global public health · 2023Review
- The two-stage molecular scenery of SARS-CoV-2 infection with implications to disease severity: An in-silico quest.Frontiers in immunology · 2023Article
- Interoperability of statistical models in pandemic preparedness: principles and reality.Statistical science : a review journal of the Institute of Mathematical Statistics · 2022Article
- Bayesian imputation of COVID-19 positive test counts for nowcasting under reporting lag.Journal of the Royal Statistical Society. Series C, Applied statistics · 2022Article
- The local burden of disease during the first wave of the COVID-19 epidemic in England: estimation using different data sources from changing surveillance practices.BMC public health · 2022Article
- Time varying association between deprivation, ethnicity and SARS-CoV-2 infections in England: A population-based ecological study.The Lancet regional health. Europe · 2022Article
- Nowcasting the spread of SARS-CoV-2.Nature microbiology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
Global and national surveillance of SARS-CoV-2 epidemiology is mostly based on targeted schemes focused on testing individuals with symptoms. These tested groups are often unrepresentative of the wider population and exhibit test positivity rates that are biased upwards compared with the true population prevalence. Such data are routinely used to infer infection prevalence and the effective reproduction number, 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.