ArticleRoyal Society open science2017
Human mobility networks and persistence of rapidly mutating pathogens.
Article in Royal Society open science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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
6 citing papers in PubMed.
- Online bilateral matching methodology for anti-epidemic resources based on spatial transmission risk.Scientific reports · 2024Article
- Article
- A data-driven assessment of early travel restrictions related to the spreading of the novel COVID-19 within mainland China.Chaos, solitons, and fractals · 2020Article
- Evaluation of the potential incidence of COVID-19 and effectiveness of containment measures in Spain: a data-driven approach.BMC medicine · 2020Article
- Mechanisms for lyssavirus persistence in non-synanthropic bats in Europe: insights from a modeling study.Scientific reports · 2019Article
- Multinational patterns of seasonal asymmetry in human movement influence infectious disease dynamics.Nature communications · 2017Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rapidly mutating pathogens may be able to persist in the population and reach an endemic equilibrium by escaping hosts' acquired immunity. For such diseases, multiple biological, environmental and population-level mechanisms determine the dynamics of the outbreak, including pathogen's epidemiological traits (e.g. transmissibility, infectious period and duration of immunity), seasonality, interaction with other circulating strains and hosts' mixing and spatial fragmentation. Here, we study a susceptible-infected-recovered-susceptible model on a metapopulation where individuals are distributed in sub-populations connected via a network of mobility flows. Through extensive numerical simulations, we explore the phase space of pathogen's persistence and map the dynamical regimes of the pathogen following emergence. Our results show that spatial fragmentation and mobility play a key role in the persistence of the disease whose maximum is reached at intermediate mobility values. We describe the occurrence of different phenomena including local extinction and emergence of epidemic waves, and assess the conditions for large-scale spreading. Findings are highlighted in reference to previous studies and to real scenarios. Our work uncovers the crucial role of hosts' mobility on the ecological dynamics of rapidly mutating pathogens, opening the path for further studies on disease ecology in the presence of a complex and heterogeneous environment.
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Registered trials
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