ReviewComputational and structural biotechnology journal2019
Epidemic Models of Contact Tracing: Systematic Review of Transmission Studies of Severe Acute Respiratory Syndrome and Middle East Respiratory Syndrome.
Review in Computational and structural biotechnology journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 3 of them syntheses 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
72 citing papers in PubMed, 3 syntheses or guidelines pooled it, 182 citations in OpenAlex.
- Reliability of Early Estimates of the Basic Reproduction Number of COVID-19: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2022Pooled it
- Cluster infections play important roles in the rapid evolution of COVID-19 transmission: A systematic review.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2020Pooled it
- Estimate of the Basic Reproduction Number for COVID-19: A Systematic Review and Meta-analysis.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2020Pooled it
- Quantifying Heterogeneous Impacts of Geolocated mHealth Tracing on Spatiotemporal Transmission of Emerging Infections.GeoHealth · 2026Article
- Integrating fractional-order SEI1I2I3QCR model with awareness and non-pharmaceutical interventions for optimal COVID-19 pandemic.BMC medical research methodology · 2025Article
- Distribution and determinants of COVID-19 seroprevalence in a hard-to-access health district in Mali.PLOS global public health · 2025Article
- Lessons learned from the COVID-19 pandemic in Latin America: A Data Science standpoint.PloS one · 2025Article
- Associated factors in SARS-CoV-2 infection among close contacts during the zero-COVID policy from 2020 to 2022 in the northeast of Shenzhen, China: a retrospective cohort study.Frontiers in public health · 2025Article
- Estimating the contribution of setting-specific contacts to SARS-CoV-2 transmission using digital contact tracing data.Nature communications · 2024Article
- Mathematical modeling of contact tracing and stability analysis to inform its impact on disease outbreaks; an application to COVID-19.Infectious Disease Modelling · 2024Article
- Adapting COVID-19 Contact Tracing Protocols to Accommodate Resource Constraints, Philadelphia, Pennsylvania, USA, 2021.Emerging infectious diseases · 2024Article
- Article
- Exploring the needs and experiences of contact tracing staff during the COVID-19 pandemic in Ireland.PloS one · 2024Article
- Estimation and sensitivity analysis of a COVID-19 model considering the use of face mask and vaccination.Scientific reports · 2023Article
- Optimizing the order of actions in a model of contact tracing.PNAS nexus · 2023Article
- A Review of the Machine Learning Algorithms for Covid-19 Case Analysis.IEEE transactions on artificial intelligence · 2023Article
- The German COVID-19 Digital Contact Tracing App: A Socioeconomic Evaluation.International journal of environmental research and public health · 2022Article
- A methodology for evaluating digital contact tracing apps based on the COVID-19 experience.Scientific reports · 2022Article
- How efficient is contact tracing in mitigating the spread of COVID-19? a mathematical modeling approach.Applied mathematical modelling · 2022Article
- A review on COVID-19 transmission, epidemiological features, prevention and vaccination.Medical review (2021) · 2022Review
12 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 4 countries.
Funding
Abstract
The emergence and reemergence of coronavirus epidemics sparked renewed concerns from global epidemiology researchers and public health administrators. Mathematical models that represented how contact tracing and follow-up may control Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS) transmissions were developed for evaluating different infection control interventions, estimating likely number of infections as well as facilitating understanding of their likely epidemiology. We reviewed mathematical models for contact tracing and follow-up control measures of SARS and MERS transmission. Model characteristics, epidemiological parameters and intervention parameters used in the mathematical models from seven studies were summarized. A major concern identified in future epidemics is whether public health administrators can collect all the required data for building epidemiological models in a short period of time during the early phase of an outbreak. Also, currently available models do not explicitly model constrained resources. We urge for closed-loop communication between public health administrators and modelling researchers to come up with guidelines to delineate the collection of the required data in the midst of an outbreak and the inclusion of additional logistical details in future similar models.
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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.