Unraveling the transmission mechanism of animal disease: Insight from a stochastic eco-epidemiological model driven by Lévy jumps DOI
Zhuoying Zhao, Xinhong Zhang

Chaos Solitons & Fractals, Год журнала: 2024, Номер 191, С. 115859 - 115859

Опубликована: Дек. 10, 2024

Язык: Английский

Pandemic monitoring with global aircraft-based wastewater surveillance networks DOI Creative Commons
Guillaume St-Onge, Jessica T. Davis, Laurent Hébert‐Dufresne

и другие.

Nature Medicine, Год журнала: 2025, Номер unknown

Опубликована: Фев. 12, 2025

Язык: Английский

Процитировано

1

flepiMoP: The evolution of a flexible infectious disease modeling pipeline during the COVID-19 pandemic DOI Creative Commons
Joseph C. Lemaitre, Sara L. Loo, Joshua Kaminsky

и другие.

Epidemics, Год журнала: 2024, Номер 47, С. 100753 - 100753

Опубликована: Март 2, 2024

The COVID-19 pandemic led to an unprecedented demand for projections of disease burden and healthcare utilization under scenarios ranging from unmitigated spread strict social distancing policies. In response, members the Johns Hopkins Infectious Disease Dynamics Group developed flepiMoP (formerly called COVID Scenario Modeling Pipeline), a comprehensive open-source software pipeline designed creating simulating compartmental models infectious transmission inferring parameters through these models. framework has been used extensively produce short-term forecasts longer-term scenario at state county level in US, other countries various geographic scales, more recently seasonal influenza. this paper, we highlight how evolved throughout address changing epidemiological dynamics, new interventions, shifts policy-relevant model outputs. As reached mature state, provide detailed overview flepiMoP's key features remaining limitations, thereby distributing its documentation as flexible powerful tool researchers public health professionals rapidly build deploy large-scale complex any pathogen demographic setup.

Язык: Английский

Процитировано

5

Optimization and performance analytics of global aircraft-based wastewater surveillance networks DOI Creative Commons
Guillaume St-Onge, Jessica T. Davis, Laurent Hébert‐Dufresne

и другие.

medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Авг. 4, 2024

Abstract Aircraft wastewater surveillance has been proposed as a novel approach to monitor the global spread of pathogens. Here we develop computational framework provide actionable information for designing and estimating effectiveness aircraft-based networks (WWSNs). We study respiratory diseases varying transmission potentials find that 10 20 strategically placed sentinel sites can timely situational awareness function effectively an early warning system. The model identifies potential blind spots suggests optimization strategies increase WWSNs while minimizing resource use. Our findings highlight increasing number beyond critical threshold does not proportionately improve capabilities, stressing importance optimization. show through retrospective analyses significantly shorten detection time emerging presented offers realistic analytic analysis at airports.

Язык: Английский

Процитировано

2

A simple model of coupled individual behavior and its impact on epidemic dynamics DOI
Jiangzhuo Chen, Baltazar Espinoza,

J. H. Chou

и другие.

Mathematical Biosciences, Год журнала: 2024, Номер unknown, С. 109345 - 109345

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

1

Preface: COVID-19 Scenario Modeling Hubs DOI Creative Commons
Sara L. Loo, Matteo Chinazzi, Ajitesh Srivastava

и другие.

Epidemics, Год журнала: 2024, Номер 48, С. 100788 - 100788

Опубликована: Авг. 24, 2024

Язык: Английский

Процитировано

0

A Simplicial SIS epidemic model with the outgoing pressure DOI
Yuyan Qin, Lixin Yang, Jia Li

и другие.

Physica A Statistical Mechanics and its Applications, Год журнала: 2024, Номер unknown, С. 130118 - 130118

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

0

Unraveling the transmission mechanism of animal disease: Insight from a stochastic eco-epidemiological model driven by Lévy jumps DOI
Zhuoying Zhao, Xinhong Zhang

Chaos Solitons & Fractals, Год журнала: 2024, Номер 191, С. 115859 - 115859

Опубликована: Дек. 10, 2024

Язык: Английский

Процитировано

0