ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2019
Detection, forecasting and control of infectious disease epidemics: modelling outbreaks in humans, animals and plants.
Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Canonical fact versus hypothesis testing to decipher transmission of non-tuberculous and tuberculous mycobacteria: a comparative review.Clinical microbiology reviews · 2025Review
- Hybrid Multi-Scale Neural Network with Attention-Based Fusion for Fruit Crop Disease Identification.Journal of imaging · 2025Article
- Using real-time modelling to inform the 2017 Ebola outbreak response in DR Congo.Nature communications · 2024Article
- Assessing the instantaneous social dilemma on social distancing attitudes and vaccine behavior in disease control.Scientific reports · 2024Article
- Nanotechnology's frontier in combatting infectious and inflammatory diseases: prevention and treatment.Signal transduction and targeted therapy · 2024Review
- Assessing global fungal threats to humans.mLife · 2022Review
- An HLD Model for Tomato Bacterial Canker Focusing on Epidemics of the Pathogen Due to Cutting by Infected Scissors.Plants (Basel, Switzerland) · 2022Article
- Evolutionary dynamics in an SI epidemic model with phenotype-structured susceptible compartment.Journal of mathematical biology · 2021Article
- Multiscale model for forecasting Sabin 2 vaccine virus household and community transmission.PLoS computational biology · 2021Article
- The persistent threat of emerging plant disease pandemics to global food security.Proceedings of the National Academy of Sciences of the United States of America · 2021Review
- Exploring the growth of COVID-19 cases using exponential modelling across 42 countries and predicting signs of early containment using machine learning.Transboundary and emerging diseases · 2021Article
- Interventions targeting non-symptomatic cases can be important to prevent local outbreaks: SARS-CoV-2 as a case study.Journal of the Royal Society, Interface · 2021Article
- The effect of the definition of 'pandemic' on quantitative assessments of infectious disease outbreak risk.Scientific reports · 2021Article
- The Epidemiology of Plant Virus Disease: Towards a New Synthesis.Plants (Basel, Switzerland) · 2020Review
- Will an outbreak exceed available resources for control? Estimating the risk from invading pathogens using practical definitions of a severe epidemic.Journal of the Royal Society, Interface · 2020Article
- Article
- A theoretical framework for transitioning from patient-level to population-scale epidemiological dynamics: influenza A as a case study.Journal of the Royal Society, Interface · 2020Article
- Improved inference of time-varying reproduction numbers during infectious disease outbreaks.Epidemics · 2019Article
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Authors and funding
2 authors.
Funding
Abstract
The 1918 influenza pandemic is one of the most devastating infectious disease epidemics on record, having caused approximately 50 million deaths worldwide. Control measures, including prohibiting non-essential gatherings as well as closing cinemas and music halls, were applied with varying success and limited knowledge of transmission dynamics. One hundred years later, following developments in the field of mathematical epidemiology, models are increasingly used to guide decision-making and devise appropriate interventions that mitigate the impacts of epidemics. Epidemiological models have been used as decision-making tools during outbreaks in human, animal and plant populations. However, as the subject has developed, human, animal and plant disease modelling have diverged. Approaches have been developed independently for pathogens of each host type, often despite similarities between the models used in these complementary fields. With the increased importance of a One Health approach that unifies human, animal and plant health, we argue that more inter-disciplinary collaboration would enhance each of the related disciplines. This pair of theme issues presents research articles written by human, animal and plant disease modellers. In this introductory article, we compare the questions pertinent to, and approaches used by, epidemiological modellers of human, animal and plant pathogens, and summarize the articles in these theme issues. We encourage future collaboration that transcends disciplinary boundaries and links the closely related areas of human, animal and plant disease epidemic modelling. This article is part of the theme issue 'Modelling infectious disease outbreaks in humans, animals and plants: approaches and important themes'. This issue is linked with the subsequent theme issue 'Modelling infectious disease outbreaks in humans, animals and plants: epidemic forecasting and control'.
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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.