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Assessing population-level target product profiles of universal human influenza a vaccines
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Assessing the impact of autologous virus neutralizing antibodies on viral rebound time in postnatally SHIV-infected ART-treated infant rhesus macaques
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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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Leveraging advances in data-driven deep learning methods for hybrid epidemic modeling
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Agent-based modeling of the COVID-19 pandemic in Florida
Agent-based modeling of the COVID-19 pandemic in Florida
The onset of the COVID-19 pandemic drove a widespread, often uncoordinated effort by research groups to develop mathematic...
Unveiling ecological/evolutionary insights in HIV viral load dynamics: Allowing random slopes to observe correlational changes to CpG-contents and other molecular and clinical predictors
Unveiling ecological/evolutionary insights in HIV viral load dynamics: Allowing random slopes to observe correlational changes to CpG-contents and other molecular and clinical predictors
In the context of infectious diseases, the dynamic interplay between ever-changing host populations and viral biology dema...
Social contacts in Switzerland during the COVID-19 pandemic: insights from the CoMix study
Social contacts in Switzerland during the COVID-19 pandemic: insights from the CoMix study
To mitigate the spread of SARS-CoV-2, the Swiss government enacted restrictions on social contacts from 2020 to 2022. In a...
When do we need multiple infectious disease models? Agreement between projection rank and magnitude in a multi-model setting
When do we need multiple infectious disease models? Agreement between projection rank and magnitude in a multi-model setting
Mathematical models are useful for public health planning and response to infectious disease threats. However, different m...
Estimating vaccine efficacy during open-label follow-up of COVID-19 vaccine trials based on population-level surveillance data
Estimating vaccine efficacy during open-label follow-up of COVID-19 vaccine trials based on population-level surveillance data
While rapid development and roll out of COVID-19 vaccines is necessary in a pandemic, the process limits the ability of cl...
SIR… or MADAM? The impact of privilege on careers in epidemic modelling.
SIR… or MADAM? The impact of privilege on careers in epidemic modelling.
As we emerge from what may be the largest global public health crises of our lives, our community of epidemic modellers is...
Corrigendum to “The impact of inaccurate assumptions about antibody test accuracy on the parametrisation and results of infectious disease models of epidemics” [Epidemics 46 (2024) 100741]
Corrigendum to “The impact of inaccurate assumptions about antibody test accuracy on the parametrisation and results of infectious disease models of epidemics” [Epidemics 46 (2024) 100741]
Available online 9 April 2024, 100766Author links open overlay panelMadhav Chaturvedi a, Denise Köster b, Nicole Rübsamen ...
Characterising information gains and losses when collecting multiple epidemic model outputs
Characterising information gains and losses when collecting multiple epidemic model outputs
Author links open overlay panelKatharine Sherratt a, Ajitesh Srivastava b, Kylie Ainslie c d, David E. Singh e, Aymar Cubl...
Data-driven mechanistic framework with stratified immunity and effective transmissibility for COVID-19 scenario projections
Data-driven mechanistic framework with stratified immunity and effective transmissibility for COVID-19 scenario projections
Available online 21 March 2024, 100761Author links open overlay panel, , , , , , , , , Highlights•Supporting Scenario Mode...
flepiMoP: The evolution of a flexible infectious disease modeling pipeline during the COVID-19 pandemic
flepiMoP: The evolution of a flexible infectious disease modeling pipeline during the COVID-19 pandemic
The COVID-19 pandemic led to an unprecedented demand for projections of disease burden and healthcare utilization under sc...
Effectiveness of interventions to reduce COVID-19 transmission in schools
Effectiveness of interventions to reduce COVID-19 transmission in schools
School reopenings in 2021 and 2022 coincided with the rapid emergence of new SARS-CoV-2 variants in the United States. In-...
Enhancing Seasonal Influenza Projections: A Mechanistic Metapopulation Model for Long-Term Scenario Planning
Enhancing Seasonal Influenza Projections: A Mechanistic Metapopulation Model for Long-Term Scenario Planning
In temperate regions, annual preparation by public health officials for seasonal influenza requires early-season long-term...
A multiscale modeling framework for Scenario Modeling: Characterizing the heterogeneity of the COVID-19 epidemic in the US
A multiscale modeling framework for Scenario Modeling: Characterizing the heterogeneity of the COVID-19 epidemic in the US
The Scenario Modeling Hub (SMH) initiative provides projections of potential epidemic scenarios in the United States (US) ...
Projecting the future impact of emerging SARS-CoV-2 variants under uncertainty: modeling the initial Omicron outbreak
Projecting the future impact of emerging SARS-CoV-2 variants under uncertainty: modeling the initial Omicron outbreak
Available online 2 March 2024, 100759Author links open overlay panel, , , Highlights•The COVID-19 Scenario Hub modeling sc...
Age-time-specific transmission of hand-foot-and-mouth disease enterovirus serotypes in Vietnam: A catalytic model with maternal immunity
Age-time-specific transmission of hand-foot-and-mouth disease enterovirus serotypes in Vietnam: A catalytic model with maternal immunity
Available online 27 February 2024, 100754Author links open overlay panel, , , , , , , , , , , , , , , , , , , Highlights•W...
Chimeric Forecasting: An experiment to leverage human judgment to improve forecasts of infectious disease using simulated surveillance data
Chimeric Forecasting: An experiment to leverage human judgment to improve forecasts of infectious disease using simulated surveillance data
Available online 28 February 2024, 100756Author links open overlay panel, , , , AbstractForecasts of infectious agents pro...
COVSIM: A stochastic agent-based COVID-19 SIMulation model for North Carolina
COVSIM: A stochastic agent-based COVID-19 SIMulation model for North Carolina
KeywordsCOVID-19 scenario modeling hubStochastic agent-based simulationHealth equityLocal public health decision makingInf...
Ensemble2: Scenarios ensembling for communication and performance analysis
Ensemble2: Scenarios ensembling for communication and performance analysis
Volume 46, March 2024, 100748Author links open overlay panel, , , , , , , , , , Highlights•Developed a new scenario ensemb...
Acquisition and Clearance Dynamics of Campylobacter spp. in Children in Low- and Middle-Income Countries
Acquisition and Clearance Dynamics of Campylobacter spp. in Children in Low- and Middle-Income Countries
The prevalence of Campylobacter infection is generally high among children in low- and middle-income countries (LMIC), but...
Ensemble2: Scenarios ensembling for communication and performance analysis
Ensemble2: Scenarios ensembling for communication and performance analysis
As ground truth data, we use the weekly incident deaths and reported cases from the JHU CSSE group (Dong et al., 2020, 202...
Quantifying the impact of interventions against Plasmodium vivax: A model for country-specific use
Quantifying the impact of interventions against Plasmodium vivax: A model for country-specific use
In order to evaluate the impact of various intervention strategies on Plasmodium vivax dynamics in low endemicity settings...
Differences between the true reproduction number and the apparent reproduction number of an epidemic time series
Differences between the true reproduction number and the apparent reproduction number of an epidemic time series
The time-varying reproduction number R(t) measures the number of new infections per infectious individual and is closely c...
Inferring transmission routes for foot-and-mouth disease virus within a cattle herd using approximate Bayesian computation
Inferring transmission routes for foot-and-mouth disease virus within a cattle herd using approximate Bayesian computation
To control an outbreak of an infectious disease it is essential to understand the different routes of transmission and how...
The impact of inaccurate assumptions about antibody test accuracy on the parametrisation and results of infectious disease models of epidemics
The impact of inaccurate assumptions about antibody test accuracy on the parametrisation and results of infectious disease models of epidemics
Keywordsinfectious disease modellingDiagnostic Test AccuracyData availabilityAll input data and code used, as well as resu...
Epidemiological impact of a large number of false negative SARS-CoV-2 test results in South West England during September and October 2021
Epidemiological impact of a large number of false negative SARS-CoV-2 test results in South West England during September and October 2021
During September and October 2021, a substantial number of Polymerase Chain Reaction (PCR) tests in England processed at a...
The US COVID-19 and Influenza Scenario Modeling Hubs: delivering long-term projections to guide policy
The US COVID-19 and Influenza Scenario Modeling Hubs: delivering long-term projections to guide policy
Available online 29 December 2023, 100738Author links open overlay panel, , , , , , , , , , , , , , , , , , , Highlights•T...
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