Spread and dynamics of the COVID-19 epidemic in Italy: Effects of emergency containment measures

M Gatto, E Bertuzzo, L Mari, S Miccoli… - Proceedings of the …, 2020 - National Acad Sciences
The spread of coronavirus disease 2019 (COVID-19) in Italy prompted drastic measures for
transmission containment. We examine the effects of these interventions, based on …

[HTML][HTML] River networks as ecological corridors: A coherent ecohydrological perspective

A Rinaldo, M Gatto, I Rodriguez-Iturbe - Advances in Water Resources, 2018 - Elsevier
This paper draws together several lines of argument to suggest that an ecohydrological
framework, ie laboratory, field and theoretical approaches focused on hydrologic controls on …

Rainfall as a driver of epidemic cholera: comparative model assessments of the effect of intra-seasonal precipitation events

J Lemaitre, D Pasetto, J Perez-Saez, C Sciarra… - Acta tropica, 2019 - Elsevier
The correlation between cholera epidemics and climatic drivers, in particular seasonal
tropical rainfall, has been studied in a variety of contexts owing to its documented relevance …

Spatially explicit effective reproduction numbers from incidence and mobility data

C Trevisin, E Bertuzzo, D Pasetto… - Proceedings of the …, 2023 - National Acad Sciences
Current methods for near real-time estimation of effective reproduction numbers from
surveillance data overlook mobility fluxes of infectors and susceptible individuals within a …

Big-data-driven modeling unveils country-wide drivers of endemic schistosomiasis

L Mari, M Gatto, M Ciddio, ED Dia, SH Sokolow… - Scientific reports, 2017 - nature.com
Schistosomiasis is a parasitic infection that is widespread in sub-Saharan Africa, where it
represents a major health problem. We study the drivers of its geographical distribution in …

Modeling key drivers of cholera transmission dynamics provides new perspectives for parasitology

A Rinaldo, E Bertuzzo, M Blokesch, L Mari… - Trends in Parasitology, 2017 - cell.com
Hydroclimatological and anthropogenic factors are key drivers of waterborne disease
transmission. Information on human settlements and host mobility on waterways along …

Data assimilation method for improving the global spatiotemporal predictions of epidemic dynamics yielded by an ensemble Kalman filter and Metropolis–Hastings …

F Liu, X Nie, A Wu, Z Zhao, C Ma, L Ning, Y Zhu… - Nonlinear …, 2023 - Springer
Assimilating the latest epidemic data can improve the predictions of epidemic dynamics
compared with those using only dynamic models. However, capturing the nonlinear …

An international initiative of predicting the SARS-CoV-2 pandemic using ensemble data assimilation

G Evensen, J Amezcua, M Bocquet… - Foundations of Data …, 2021 - centaur.reading.ac.uk
This work demonstrates the efficiency of using iterative ensemble smoothers to estimate the
parameters of an SEIR model. We have extended a standard SEIR model with age-classes …

Predictive modeling for infectious diarrheal disease in pediatric populations: A systematic review

B Ogwel, V Mzazi, BO Nyawanda… - Learning Health …, 2024 - Wiley Online Library
Introduction Diarrhea is still a significant global public health problem. There are currently no
systematic evaluation of the modeling areas and approaches to predict diarrheal illness …

Inference of transmission dynamics and retrospective forecast of invasive meningococcal disease

J Cascante-Vega, M Galanti, K Schley… - PLOS Computational …, 2023 - journals.plos.org
The pathogenic bacteria Neisseria meningitidis, which causes invasive meningococcal
disease (IMD), predominantly colonizes humans asymptomatically; however, invasive …