[HTML][HTML] SARS-CoV-2 viral load and shedding kinetics

O Puhach, B Meyer, I Eckerle - Nature Reviews Microbiology, 2023 - nature.com
SARS-CoV-2 viral load and detection of infectious virus in the respiratory tract are the two
key parameters for estimating infectiousness. As shedding of infectious virus is required for …

[HTML][HTML] Superspreading, overdispersion and their implications in the SARS-CoV-2 (COVID-19) pandemic: a systematic review and meta-analysis of the literature

O Wegehaupt, A Endo, A Vassall - BMC Public Health, 2023 - Springer
Background A recurrent feature of infectious diseases is the observation that different
individuals show different levels of secondary transmission. This inter-individual variation in …

Airborne disease transmission during indoor gatherings over multiple time scales: Modeling framework and policy implications

AK Dixit, B Espinoza, Z Qiu… - Proceedings of the …, 2023 - National Acad Sciences
Indoor superspreading events are significant drivers of transmission of respiratory diseases.
In this work, we study the dynamics of airborne transmission in consecutive meetings of …

[HTML][HTML] Characterization of superspreaders movement in a bidirectional corridor using a social force model

DSI Kanté, A Jebrane, A Hakim… - Frontiers in Public …, 2023 - frontiersin.org
During infectious disease outbreaks, some infected individuals may spread the disease
widely and amplify risks in the community. People whose daily activities bring them in close …

A queueing‐theoretic framework for evaluating transmission risks in service facilities during a pandemic

K Kang, S Doroudi, M Delasay… - Production and …, 2023 - journals.sagepub.com
We propose a new modeling framework for evaluating the risk of disease transmission
during a pandemic in small‐scale settings driven by stochasticity in the arrival and service …

[HTML][HTML] Beyond scale-free networks: integrating multilayer social networks with molecular clusters in the local spread of COVID-19

K Fujimoto, J Kuo, G Stott, R Lewis, HK Chan, L Lyu… - Scientific Reports, 2023 - nature.com
This study evaluates the scale-free network assumption commonly used in COVID-19
epidemiology, using empirical social network data from SARS-CoV-2 Delta variant …

Quantification of how mechanical ventilation influences the airborne infection risk of COVID-19 and HVAC energy consumption in office buildings

Z Pang, X Lu, Z O'Neill - Building Simulation, 2023 - Springer
This paper presents an EnergyPlus-based parametric analysis to investigate the infection
risk of Coronavirus Disease 2019 (COVID-19) under different mechanical ventilation …

[HTML][HTML] A statistical framework for tracking the time-varying superspreading potential of COVID-19 epidemic

Z Guo, S Zhao, SS Lee, CT Hung, NS Wong, TY Chow… - Epidemics, 2023 - Elsevier
Timely detection of an evolving event of an infectious disease with superspreading potential
is imperative for territory-wide disease control as well as preventing future outbreaks. While …

The Role of Directionality, Heterogeneity, and Correlations in Epidemic Risk and Spread

A Allard, C Moore, SV Scarpino, BM Althouse… - SIAM Review, 2023 - SIAM
Most models of epidemic spread, including many designed specifically for COVID-19,
implicitly assume mass-action contact patterns and undirected contact networks, meaning …

[HTML][HTML] Heterogeneity is a key factor describing the initial outbreak of COVID-19

S Kim, A Abdulali, S Lee - Applied Mathematical Modelling, 2023 - Elsevier
Assessing the transmission potential of emerging infectious diseases, such as COVID-19, is
crucial for implementing prompt and effective intervention policies. The basic reproduction …