ReviewPhysics of life reviews2016
Mathematical models to characterize early epidemic growth: A review.
Review in Physics of life reviews, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 157 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
157 citing papers in PubMed, 446 citations in OpenAlex.
- Comparison of growth, time series, and hybrid models for HIV infectious disease incidence in adults in Saudi Arabia.BMC infectious diseases · 2026Article
- Mechanistic Understanding of Pandemic Dynamics: A Multiscale Algorithmic Framework.Life (Basel, Switzerland) · 2026Article
- An integrated framework for early detection and transmissibility assessment of emerging variants in wastewater.International journal of hygiene and environmental health · 2026Article
- Modelling a potential zoonotic spillover event of H5N1 influenza.BMC public health · 2025Article
- Mapping Incidence and Prevalence Peak Data for SIR Modeling Applications.Journal of mathematical biology · 2025Article
- Modeling and Characterizing the Growth of the Texas-New Mexico Measles Outbreak of 2025.Epidemiologia (Basel, Switzerland) · 2025Article
- Modelling the dynamically consistent numerical methods for COVID-19 disease with cost effectiveness strategies.Scientific reports · 2025Article
- Mathematical models to characterize the early phase of the COVID-19 pandemic in New Mexico, USA.Mathematical biosciences and engineering : MBE · 2025Article
- Multiple introductions of equine influenza virus into the United Kingdom resulted in widespread outbreaks and lineage replacement.PLoS pathogens · 2025Article
- A Retrospective Study of the Effects of COVID-19 Non-Pharmaceutical Interventions on Influenza in Canada.Infectious disease reports · 2025Article
- Post-recovery viral shedding shapes wastewater-based epidemiological inferences.Communications medicine · 2025Article
- Smart epidemic control: A hybrid model blending ODEs and agent-based simulations for optimal, real-world intervention planning.PLoS computational biology · 2025Article
- Deterministic epidemic models overestimate the basic reproduction number of observed outbreaks.Infectious Disease Modelling · 2024Article
- Comparing Contact Tracing Through Bluetooth and GPS Surveillance Data: Simulation-Driven Approach.Journal of medical Internet research · 2024Article
- A novel simulation-based analysis of a stochastic HIV model with the time delay using high order spectral collocation technique.Scientific reports · 2024Article
- Review
- What Influence Could the Acceptance of Visitors Cause on the Epidemic Dynamics of a Reinfectious Disease?: A Mathematical Model.Acta biotheoretica · 2024Article
- Assessing the Impact of Non-Pharmaceutical Interventions on Consumer Mobility Patterns and COVID-19 Transmission in the US.International journal of environmental research and public health · 2024Article
- Article
- An agent-based model with antibody dynamics information in COVID-19 epidemic simulation.Infectious Disease Modelling · 2023Article
97 more citing papers are in PubMed but not listed here.
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
There is a long tradition of using mathematical models to generate insights into the transmission dynamics of infectious diseases and assess the potential impact of different intervention strategies. The increasing use of mathematical models for epidemic forecasting has highlighted the importance of designing reliable models that capture the baseline transmission characteristics of specific pathogens and social contexts. More refined models are needed however, in particular to account for variation in the early growth dynamics of real epidemics and to gain a better understanding of the mechanisms at play. Here, we review recent progress on modeling and characterizing early epidemic growth patterns from infectious disease outbreak data, and survey the types of mathematical formulations that are most useful for capturing a diversity of early epidemic growth profiles, ranging from sub-exponential to exponential growth dynamics. Specifically, we review mathematical models that incorporate spatial details or realistic population mixing structures, including meta-population models, individual-based network models, and simple SIR-type models that incorporate the effects of reactive behavior changes or inhomogeneous mixing. In this process, we also analyze simulation data stemming from detailed large-scale agent-based models previously designed and calibrated to study how realistic social networks and disease transmission characteristics shape early epidemic growth patterns, general transmission dynamics, and control of international disease emergencies such as the 2009 A/H1N1 influenza pandemic and the 2014-2015 Ebola epidemic in West Africa.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.