Detection of SARS-CoV-2 Based on Nucleic Acid Amplification Tests (NAATs) and Its Integration into Nanomedicine and Microfluidic Devices as Point-of-Care Testing (POCT) DOI Open Access
Alexis Dorta‐Gorrín, Jesús Navas, Mónica Gozalo-Margüello

et al.

International Journal of Molecular Sciences, Journal Year: 2023, Volume and Issue: 24(12), P. 10233 - 10233

Published: June 16, 2023

The coronavirus SARS-CoV-2 has highlighted the criticality of an accurate and rapid diagnosis in order to contain spread virus. Knowledge viral structure its genome is essential for development. virus still quickly evolving global scenario could easily change. Thus, a greater range diagnostic options face this threat public health. In response demand, there been advancement understanding current methods. fact, innovative approaches have emerged, leveraging benefits nanomedicine microfluidic technologies. Although development incredibly fast, several key areas require further investigation optimization, such as sample collection preparation, assay optimization sensitivity, cost effectiveness, scalability device miniaturization, portability integration with smartphones. Addressing these gaps knowledge technological challenges will contribute reliable, sensitive, user-friendly NAAT-based POCTs other infectious diseases, facilitating effective patient management. This review aims provide overview detection methods based on nucleic acid tests (NAATs). Additionally, it explores promising that combine devices high sensitivity relatively fast ‘time answer’ into point-of-care testing (POCT).

Language: Английский

Vaccination and non-pharmaceutical interventions for COVID-19: a mathematical modelling study DOI Creative Commons
Sam Moore, Edward M. Hill, Michael J. Tildesley

et al.

The Lancet Infectious Diseases, Journal Year: 2021, Volume and Issue: 21(6), P. 793 - 802

Published: March 20, 2021

The dynamics of vaccination against SARS-CoV-2 are complicated by age-dependent factors, changing levels infection, and the relaxation non-pharmaceutical interventions (NPIs) as perceived risk declines, necessitating use mathematical models. Our aims were to epidemiological data from UK together with estimates vaccine efficacy predict possible long-term under planned rollout.

Language: Английский

Citations

575
Covasim: An agent-based model of COVID-19 dynamics and interventions DOI Creative Commons
Cliff C. Kerr, Robyn M. Stuart, Dina Mistry

et al.

PLoS Computational Biology, Journal Year: 2021, Volume and Issue: 17(7), P. e1009149 - e1009149

Published: July 26, 2021

The COVID-19 pandemic has created an urgent need for models that can project epidemic trends, explore intervention scenarios, and estimate resource needs. Here we describe the methodology of Covasim (COVID-19 Agent-based Simulator), open-source model developed to help address these questions. includes country-specific demographic information on age structure population size; realistic transmission networks in different social layers, including households, schools, workplaces, long-term care facilities, communities; age-specific disease outcomes; intrahost viral dynamics, viral-load-based transmissibility. also supports extensive set interventions, non-pharmaceutical such as physical distancing protective equipment; pharmaceutical vaccination; testing symptomatic asymptomatic testing, isolation, contact tracing, quarantine. These interventions incorporate effects delays, loss-to-follow-up, micro-targeting, other factors. Implemented pure Python, been designed with equal emphasis performance, ease use, flexibility: highly customized scenarios be run a standard laptop under minute. In collaboration local health agencies policymakers, already applied examine dynamics inform policy decisions more than dozen countries Africa, Asia-Pacific, Europe, North America.

Language: Английский

Citations

529
Diagnostics for COVID-19: moving from pandemic response to control DOI Open Access
Rosanna W. Peeling, Dominique Heymann,

Yik-Ying Teo

et al.

The Lancet, Journal Year: 2021, Volume and Issue: 399(10326), P. 757 - 768

Published: Dec. 20, 2021

Language: Английский

Citations

404
Wastewater surveillance of SARS-CoV-2 across 40 U.S. states from February to June 2020 DOI Open Access
Fuqing Wu, Amy Xiao, Jianbo Zhang

et al.

Water Research, Journal Year: 2021, Volume and Issue: 202, P. 117400 - 117400

Published: July 2, 2021

Language: Английский

Citations

157
Covasim: an agent-based model of COVID-19 dynamics and interventions DOI Creative Commons
Cliff C. Kerr, Robyn M. Stuart, Dina Mistry

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2020, Volume and Issue: unknown

Published: May 15, 2020

Abstract The COVID-19 pandemic has created an urgent need for models that can project epidemic trends, explore intervention scenarios, and estimate resource needs. Here we describe the methodology of Covasim (COVID-19 Agent-based Simulator), open-source model developed to help address these questions. includes country-specific demographic information on age structure population size; realistic transmission networks in different social layers, including households, schools, workplaces, long-term care facilities, communities; age-specific disease outcomes; intrahost viral dynamics, viral-load-based transmissibility. also supports extensive set interventions, non-pharmaceutical such as physical distancing protective equipment; pharmaceutical vaccination; testing symptomatic asymptomatic testing, isolation, contact tracing, quarantine. These interventions incorporate effects delays, loss-to-follow-up, micro-targeting, other factors. Implemented pure Python, been designed with equal emphasis performance, ease use, flexibility: highly customized scenarios be run a standard laptop under minute. In collaboration local health agencies policymakers, already applied examine dynamics inform policy decisions more than dozen countries Africa, Asia-Pacific, Europe, North America.

Language: Английский

Citations

143
A look into the future of the COVID-19 pandemic in Europe: an expert consultation DOI Creative Commons
Emil N. Iftekhar, Viola Priesemann, Rudi Balling

et al.

The Lancet Regional Health - Europe, Journal Year: 2021, Volume and Issue: 8, P. 100185 - 100185

Published: July 30, 2021

Language: Английский

Citations

121
Controlling COVID-19 via test-trace-quarantine DOI Creative Commons
Cliff C. Kerr, Dina Mistry, Robyn M. Stuart

et al.

Nature Communications, Journal Year: 2021, Volume and Issue: 12(1)

Published: May 20, 2021

Abstract Initial COVID-19 containment in the United States focused on limiting mobility, including school and workplace closures. However, these interventions have had enormous societal economic costs. Here, we demonstrate feasibility of an alternative control strategy, test-trace-quarantine: routine testing primarily symptomatic individuals, tracing their known contacts, placing contacts quarantine. We perform this analysis using Covasim, open-source agent-based model, which has been calibrated to detailed demographic, epidemiological data for Seattle region from January through June 2020. With current levels mask use schools remaining closed, find that high but achievable are sufficient maintain epidemic even under a return full community mobility with low vaccine coverage. The easing restrictions 2020 subsequent scale-up programs September provided real-world validation our predictions. Although show test-trace-quarantine can both theory practice, its success is contingent rates, quarantine compliance, relatively short delays, moderate use. Thus, order transmission strong performance all aspects program required.

Language: Английский

Citations

112
mRNA vaccines for COVID-19 and diverse diseases DOI
Abid Hussain,

Haiyin Yang,

Jun Zhang

et al.

Journal of Controlled Release, Journal Year: 2022, Volume and Issue: 345, P. 314 - 333

Published: March 21, 2022

Language: Английский

Citations

85
Relaxing restrictions at the pace of vaccination increases freedom and guards against further COVID-19 waves DOI Creative Commons
Simon Bauer, Sebastián Contreras, Jonas Dehning

et al.

PLoS Computational Biology, Journal Year: 2021, Volume and Issue: 17(9), P. e1009288 - e1009288

Published: Sept. 2, 2021

Mass vaccination offers a promising exit strategy for the COVID-19 pandemic. However, as progresses, demands to lift restrictions increase, despite most of population remaining susceptible. Using our age-stratified SEIRD-ICU compartmental model and curated epidemiological data, we quantified rate (relative progress) at which countries can non-pharmaceutical interventions without overwhelming their healthcare systems. We analyzed scenarios ranging from immediately lifting (accepting high mortality morbidity) reducing case numbers level where test-trace-and-isolate (TTI) programs efficiently compensate local spreading events. In general, age-dependent roll-out implies transient decrease more than ten years in average age ICU patients deceased. The pace determines speed restrictions; Taking European Union (EU) an example case, all considered allow steadily increasing contacts starting May 2021 relaxing by autumn 2021. Throughout summer 2021, only mild contact will remain necessary. vaccine uptake prevent further severe waves. Across EU countries, seroprevalence impacts long-term success campaigns strongly demographics. addition, highlight need preventive measures reduce contagion school settings throughout year children might be drivers because them Strategies that maintain low numbers, instead ones, infections deaths factors eleven five, respectively. policies with significantly benefit vaccination, overall reduction susceptibility diminish viral spread. Keeping is safest it considerably reduces morbidity better preparedness against emerging escape or contagious virus variants while still allowing higher (freedom) progressing vaccinations.

Language: Английский

Citations

68
Challenges for modelling interventions for future pandemics DOI Creative Commons
Mirjam Kretzschmar, Ben Ashby, Elizabeth Fearon

et al.

Epidemics, Journal Year: 2022, Volume and Issue: 38, P. 100546 - 100546

Published: Feb. 11, 2022

Mathematical modelling and statistical inference provide a framework to evaluate different non-pharmaceutical pharmaceutical interventions for the control of epidemics that has been widely used during COVID-19 pandemic. In this paper, lessons learned from previous are highlight challenges future pandemic control. We consider availability use data, as well need correct parameterisation calibration model frameworks. discuss arise in describing distinguishing between interventions, within structures, allowing both host dynamics. also health economic political aspects interventions. Given diversity these challenges, broad variety interdisciplinary expertise is needed address them, combining mathematical knowledge with biological social insights, including economics communication skills. Addressing requires strong cross-disciplinary collaboration together close scientists policy makers.

Language: Английский

Citations

63