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Learning associations of COVID-19 hospitalizations with wastewater viral signals by Markov modulated models
Volume 52, September 2025, 100840Author links open overlay panel, , , Highlights•General extensions of distributed lag mod...
Improving policy-oriented agent-based modeling with history matching: A case study
Volume 52, September 2025, 100845Author links open overlay panel, , , , , Highlights•Calibrating detailed epidemiological ...
Projecting the population-level impact of norovirus vaccines
Volume 52, September 2025, 100842Author links open overlay panel, , , , , Highlights•Development of a mathematical model t...
Modelling the dynamics of SARS-CoV-2 during the first 14 days of infection
Interpreting the viral mechanism of SARS-CoV-2 based on the human body level is critical for developing more efficient int...
Transmission dynamics of Norovirus GII and Enterovirus in Switzerland during the COVID-19 pandemic (2021–2022) as evidenced in wastewater
Noroviruses and enteroviruses are major causes of endemic gastrointestinal disease associated with substantial disease bur...
Sequential Monte Carlo Squared for online inference in stochastic epidemic models
Effective epidemic modeling and surveillance require computationally efficient methods that can continuously update parame...
Investigating the impact of edge weight selection on the pig trade network topology
Volume 52, September 2025, 100849Author links open overlay panel, , , Highlights•Traceability of animal movements is criti...
Explaining the stable coexistence of drug-resistant and -susceptible pathogens: the resistance acquisition purifying selection model
Volume 52, September 2025, 100848Author links open overlay panelHighlights•A model explains the coexistence of resistant a...
Epidemiology and environmental risks of antibiotic resistant Enterobacterales isolates in different aquatic matrices from North-Western Romania
The most menacing sources of environmental contamination with antibiotic resistant bacteria are effluents derived from ant...
The bridge between two worlds: Global South researchers' journeys through Global North academic training and beyond
International training of Global South researchers represents a strategic investment that yields substantial returns, rath...
Advances in approximate Bayesian inference for models in epidemiology
Bayesian inference methods are useful in infectious diseases modeling due to their capability to propagate uncertainty, ma...
Environmental drivers of Ixodes ricinus tick population dynamics: Mechanistic modelling using longitudinal field surveys and climate data
Ixodes ricinus is the primary vector for Lyme disease and tick-borne encephalitis across Europe. However, the environmenta...
Optimisation of wastewater surveillance for COVID-19 after resumption of normalcy from the pandemic: A case of Hong Kong
Wastewater surveillance (WWS) was critical to Hong Kong’s COVID-19 response, providing early warning indicators and enabli...
Rtglm: Unifying estimation of the time-varying reproduction number, Rt, under the Generalised Linear and Additive Models
Most current methods to estimate the time-varying reproduction number (Rt), such as EpiEstim, rely on branching processes ...
Forecasting regional COVID-19 hospitalisation in England using ordinal machine learning method
BackgroundThe COVID-19 pandemic caused substantial pressure on healthcare, with many systems needing to prepare for and mi...
Reimagining the serocatalytic model for infectious diseases: A case study of common coronaviruses
Despite the increased availability of serological data, understanding serodynamics remains challenging. Serocatalytic mode...
Wastewater-based surveillance for influenza and respiratory syncytial virus: Insights from a 21-month study in Oklahoma
Data from the wastewater sample testing are available in aggregated format (number of positive samples per month per count...
Random Forest of epidemiological models for Influenza forecasting
Volume 53, December 2025, 100862Author links open overlay panel, Highlights•Tree Ensemble-based framework using prediction...
Optimizing spatial distribution of wastewater-based epidemiology to advance health equity
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Forecasting SARS-CoV-2 epidemic dynamic in Poland with the pDyn agent-based model
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Modelling plausible scenarios for the Omicron SARS-CoV-2 variant from early-stage surveillance
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Predicting the impact of non-pharmaceutical interventions against COVID-19 on Mycoplasma pneumoniae in the United States
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Real-time estimates of the emergence and dynamics of SARS-CoV-2 variants of concern: A modeling approach
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Hospital population density and risk of respiratory infection: Is close contact density dependent?
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Transmission models of respiratory infections in carceral settings: A systematic review
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Infectious diseases: Household modeling with missing data
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Estimating effective reproduction numbers using wastewater data from multiple sewersheds for SARS-CoV-2 in California counties
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Flusion: Integrating multiple data sources for accurate influenza predictions
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