ArticleBMC infectious diseases2021
A network-based model to explore the role of testing in the epidemiological control of the COVID-19 pandemic.
Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 37 citations in OpenAlex.
- Modeling the effectiveness of RT-PCR, RT-LAMP, and antigen testing strategies for COVID-19 control.BMC infectious diseases · 2025Article
- Artificial Intelligence-Powered Nanosensor Platforms for Non-Invasive Breathomic Diagnostics.Nanotechnology, science and applications · 2025Review
- Assessing COVID-19 transmission through school and family networks using population-level registry data from the Netherlands.Scientific reports · 2024Article
- Designing a model to estimate the burden of COVID-19 in Iran.BMC public health · 2024Article
- Factors associated with delayed diagnosis of symptomatic adult COVID-19 cases presenting to primary care: a population-wide study during transition from Delta to Omicron BA.1 in Singapore.The Lancet regional health. Western Pacific · 2023Article
- Sociodemographic Variables Can Guide Prioritized Testing Strategies for Epidemic Control in Resource-Limited Contexts.The Journal of infectious diseases · 2023Article
- Impact of DHCWs' Safety Perception on Vaccine Acceptance and Adoption of Risk Mitigation Strategies.JDR clinical and translational research · 2023Article
- Modeling Consequences of COVID-19 and Assessing Its Epidemiological Parameters: A System Dynamics Approach.Healthcare (Basel, Switzerland) · 2023Article
- COVID-19 Vaccine Acceptance, Attitude, Hesitancy, and Its Associated Factors among Wolaita Sodo University Students: A Mixed-Method Study.Journal of environmental and public health · 2023Article
- Article
- Multilayer networks with higher-order interaction reveal the impact of collective behavior on epidemic dynamics.Chaos, solitons, and fractals · 2022Article
- From pandemic to a new normal: Strategies to optimise governmental interventions in Indonesia based on an SVEIQHR-type mathematical model.Infectious Disease Modelling · 2022Article
- Human Mobility and Droplet-Transmissible Pediatric Infectious Diseases during the COVID-19 Pandemic.International journal of environmental research and public health · 2022Article
- How and to what extent does the anti-social behavior of violating self-quarantine measures increase the spread of disease?Chaos, solitons, and fractals · 2022Article
- Assessing the impact of lateral flow testing strategies on within-school SARS-CoV-2 transmission and absences: A modelling study.PLoS computational biology · 2022Article
- Comparative study of a mathematical epidemic model, statistical modeling, and deep learning for COVID-19 forecasting and management.Socio-economic planning sciences · 2022Article
- Country-specific optimization strategy for testing through contact tracing can help maintain a low reproduction number ([Formula: see text]) during unlock.Scientific reports · 2022Article
- Lessons from a pandemic.PLOS global public health · 2022Article
- The significance of advanced COVID-19 diagnostic testing in pandemic control measures.International journal of biological sciences · 2022Review
- Assessing Vaccination Prioritization Strategies for COVID-19 in South Africa Based on Age-Specific Compartment Model.Frontiers in public health · 2022Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
backgroundTesting is one of the most effective means to manage the COVID-19 pandemic. However, there is an upper bound on daily testing volume because of limited healthcare staff and working hours, as well as different testing methods, such as random testing and contact-tracking testing. In this study, a network-based epidemic transmission model combined with a testing mechanism was proposed to study the role of testing in epidemic control. The aim of this study was to determine how testing affects the spread of epidemics and the daily testing volume needed to control infectious diseases.
methodsWe simulated the epidemic spread process on complex networks and introduced testing preferences to describe different testing strategies. Different networks were generated to represent social contact between individuals. An extended susceptible-exposed-infected-recovered (SEIR) epidemic model was adopted to simulate the spread of epidemics in these networks. The model establishes a testing preference of between 0 and 1; the larger the testing preference, the higher the testing priority for people in close contact with confirmed cases.
resultsThe numerical simulations revealed that the higher the priority for testing individuals in close contact with confirmed cases, the smaller the infection scale. In addition, the infection peak decreased with an increase in daily testing volume and increased as the testing start time was delayed. We also discovered that when testing and other measures were adopted, the daily testing volume required to keep the infection scale below 5% was reduced by more than 40% even if other measures only reduced individuals' infection probability by 10%. The proposed model was validated using COVID-19 testing data.
conclusionsAlthough testing could effectively inhibit the spread of infectious diseases and epidemics, our results indicated that it requires a huge daily testing volume. Thus, it is highly recommended that testing be adopted in combination with measures such as wearing masks and social distancing to better manage infectious diseases. Our research contributes to understanding the role of testing in epidemic control and provides useful suggestions for the government and individuals in responding to epidemics.
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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.