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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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Retrospective modelling of the disease and mortality burden of the 1918–1920 influenza pandemic in Zurich, Switzerland
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Estimating the generation time for influenza transmission using household data in the United States
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Modelling COVID-19 in the North American region with a metapopulation network and Kalman filter
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Enhanced testing can substantially improve defense against several types of respiratory virus pandemic
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Estimating nosocomial transmission of micro-organisms in hospital settings using patient records and culture data
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Collaborative forecasting of influenza-like illness in Italy: The Influcast experience
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A prospective real-time transfer learning approach to estimate influenza hospitalizations with limited data
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Reconstructing the first COVID-19 pandemic wave with minimal data in England
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Onset of infectiousness explains differences in transmissibility across Mycobacterium tuberculosis lineages
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Inference of epidemic dynamics in the COVID-19 era and beyond
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Modeling the transmission of antibiotic-resistant Enterobacterales in the community: A systematic review
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Assessing population-level target product profiles of universal human influenza A vaccines
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Leveraging advances in data-driven deep learning methods for hybrid epidemic modeling
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Role of heterogeneity: National scale data-driven agent-based modeling for the US COVID-19 Scenario Modeling Hub
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Dynamics of Neisseria gonorrhoeae transmission among female sex workers and clients: A mathematical modeling study
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The utility of whole-genome sequencing to identify likely transmission pairs for pathogens with slow and variable evolution
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Investigation of P. vivax elimination via mass drug administration: A simulation study
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Improving the contribution of mathematical modelling evidence to guidelines and policy: Experiences from tuberculosis
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