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Open AccessJournal ArticleDOI

The dynamics of measles in sub-Saharan Africa

TLDR
It is shown that measles epidemics in Niger are highly episodic, particularly in the capital Niamey, and how increased vaccine coverage, but still below the local elimination threshold, could lead to increasingly variable major outbreaks in highly seasonally forced contexts.
Abstract
Although vaccination has almost eliminated measles in parts of the world, the disease remains a major killer in some high birth rate countries of the Sahel. On the basis of measles dynamics for industrialized countries, high birth rate regions should experience regular annual epidemics. Here, however, we show that measles epidemics in Niger are highly episodic, particularly in the capital Niamey. Models demonstrate that this variability arises from powerful seasonality in transmission-generating high amplitude epidemics-within the chaotic domain of deterministic dynamics. In practice, this leads to frequent stochastic fadeouts, interspersed with irregular, large epidemics. A metapopulation model illustrates how increased vaccine coverage, but still below the local elimination threshold, could lead to increasingly variable major outbreaks in highly seasonally forced contexts. Such erratic dynamics emphasize the importance both of control strategies that address build-up of susceptible individuals and efforts to mitigate the impact of large outbreaks when they occur.

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Journal ArticleDOI

Mathematical models to characterize early epidemic growth: A review.

TL;DR: This work analyzes 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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Virus genomes reveal factors that spread and sustained the Ebola epidemic

Gytis Dudas, +110 more
- 20 Apr 2017 - 
TL;DR: It is revealed that this large epidemic was a heterogeneous and spatially dissociated collection of transmission clusters of varying size, duration and connectivity, which will help to inform interventions in future epidemics.
Journal ArticleDOI

The impact of COVID-19 nonpharmaceutical interventions on the future dynamics of endemic infections.

TL;DR: It is found that substantial outbreaks of RSV may occur in future years, with peak outbreaks likely occurring in the winter of 2021–2022, and future outbreaks of influenza broadly echo this picture, but are more uncertain.
Journal ArticleDOI

Plug-and-play inference for disease dynamics: measles in large and small populations as a case study.

TL;DR: It is demonstrated that plug-and-play methods permit the development of a modelling and inference framework applicable to data from both large and small populations and obtains novel insights into the nature of heterogeneity in mixing.
References
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Book

Infectious Diseases of Humans: Dynamics and Control

TL;DR: This book discusses the biology of host-microparasite associations, dynamics of acquired immunity heterogeneity within the human community indirectly transmitted helminths, and the ecology and genetics of hosts and parasites.
Journal ArticleDOI

Travelling waves and spatial hierarchies in measles epidemics

TL;DR: This work demonstrates recurrent epidemic travelling waves in an exhaustive spatio-temporal data set for measles in England and Wales and uses wavelet phase analysis, which allows for dynamical non-stationarity—a complication in interpreting spatio–temporal patterns in these and many other ecological time series.
Journal ArticleDOI

A simple model for complex dynamical transitions in epidemics.

TL;DR: This work has shown that measles is a natural ecological system that exhibits different dynamical transitions at different times and places, yet all of these transitions can be predicted as bifurcations of a single nonlinear model.
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