ArticleInfectious Disease Modelling2020
An updated estimation of the risk of transmission of the novel coronavirus (2019-nCov).
Article in Infectious Disease Modelling, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 338 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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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.
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Who cites it
338 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The impact of COVID-19 pandemic on sustainable development goals - A survey.Environmental research · 2021Pooled it
- Minimizing Societal Cost of Epidemics: Optimal Catastrophe Insurance Compensation Allocation.Risk analysis : an official publication of the Society for Risk Analysis · 2026Article
- TORCH infections at the maternal-fetal placental transmission: an overview of multi-omics, pathogenesis and innate immune defense.Frontiers in cellular and infection microbiology · 2026Review
- Mathematical analysis of Mycoplasma Genitalium transmission dynamics: A compartmental model with nonlinear interactions and treatment effects.PLOS global public health · 2026Article
- Modeling the impact of hospitalization-induced behavioral changes on the spread of COVID-19 in New York City.Infectious Disease Modelling · 2025Article
- Modelling COVID-19 pandemic towards comparison of Omicron and Delta variants in Nigeria: development of predictive tools for forecasting and projection.BMC infectious diseases · 2025Article
- Selective Degradation and Inhibition of SARS-CoV-2 3CLInternational journal of molecular sciences · 2025Article
- The interplay of influenza and COVID-19 in Germany, January 2020 - December 2022: a study of competitive disease dynamics with quarantine measures and partial cross-immunity.BMC public health · 2025Article
- Modeling-based design of adaptive control strategy for the effective preparation of 'Disease X'.BMC medical informatics and decision making · 2025Article
- Article
- Silencing of Epidermal Growth Factor-like Domain 8 Promotes Proliferation and Cancer Aggressiveness in Human Ovarian Cancer Cells by Activating ERK/MAPK Signaling Cascades.International journal of molecular sciences · 2024Article
- The associations between emotional empathy, emotional intelligence, and COVID-19-related stress among nursing students: a cross-sectional study.BMC medical education · 2024Article
- Review
- Behind the screen: exploring the effects of home working on 999 telephone clinicians during the COVID-19 pandemic.British paramedic journal · 2024Article
- Impact assessment of self-medication on COVID-19 prevalence in Gauteng, South Africa, using an age-structured disease transmission modelling framework.BMC public health · 2024Article
- Evaluating the spike in the symptomatic proportion of SARS-CoV-2 in China in 2022 with variolation effects: a modeling analysis.Infectious Disease Modelling · 2024Article
- Valuation and comparison of the actual and optimal control strategy in an emerging infectious disease: Implication from a COVID-19 transmission model.Infectious Disease Modelling · 2024Article
- An Epidemic Model with Infection Age and Vaccination Age Structure.Infectious disease reports · 2024Article
- Basic Reproduction Number (R0), Doubling Time, and Daily Growth Rate of the COVID-19 Epidemic: An Echological Study.Archives of academic emergency medicine · 2024Article
- Effective contact tracing for COVID-19: A systematic review.Global epidemiology · 2023Review
278 more citing papers are in PubMed but not listed here.
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The basic reproduction number of an infectious agent is the average number of infections one case can generate over the course of the infectious period, in a naïve, uninfected population. It is well-known that the estimation of this number may vary due to several methodological issues, including different assumptions and choice of parameters, utilized models, used datasets and estimation period. With the spreading of the novel coronavirus (2019-nCoV) infection, the reproduction number has been found to vary, reflecting the dynamics of transmission of the coronavirus outbreak as well as the case reporting rate. Due to significant variations in the control strategies, which have been changing over time, and thanks to the introduction of detection technologies that have been rapidly improved, enabling to shorten the time from infection/symptoms onset to diagnosis, leading to faster confirmation of the new coronavirus cases, our previous estimations on the transmission risk of the 2019-nCoV need to be revised. By using time-dependent contact and diagnose rates, we refit our previously proposed dynamics transmission model to the data available until January 29th
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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.