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Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility
BackgroundOn 11 June the World Health Organization officially raised the phase of pandemic alert (with regard to the new H1N1 influenza strain) to level 6. As of 19 July, 137,232 cases of the H1N1Expand
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Human Mobility Networks, Travel Restrictions, and the Global Spread of 2009 H1N1 Pandemic
After the emergence of the H1N1 influenza in 2009, some countries responded with travel-related controls during the early stage of the outbreak in an attempt to contain or slow down its internationalExpand
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Real-time numerical forecast of global epidemic spreading: case study of 2009 A/H1N1pdm
BackgroundMathematical and computational models for infectious diseases are increasingly used to support public-health decisions; however, their reliability is currently under debate. Real-timeExpand
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On the Use of Human Mobility Proxies for Modeling Epidemics
TLDR
We explore the opportunity of using proxies for individual mobility to describe commuting flows and predict the diffusion of an influenza-like-illness epidemic. Expand
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Forecasting Seasonal Influenza Fusing Digital Indicators and a Mechanistic Disease Model
TLDR
The availability of novel digital data streams that can be used as proxy for monitoring infectious disease incidence is ushering in a new era for real-time forecast approaches to disease spreading. Expand
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Quantifying social contacts in a household setting of rural Kenya using wearable proximity sensors
TLDR
We present and analyse data arising from a prospective study of 5 households in rural Kenya, followed through 3 consecutive days. Expand
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[Genotoxicity of surface water treated with different disinfectants using in situ plant tests].
Disinfection of surface drinking water, in particular water chlorination, produces many by-products with genotoxic and/or carcinogenic activity. The aim of this research was to evaluate theExpand
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Predicting human mobility through the assimilation of social media traces into mobility models
TLDR
We propose a hybrid model of human mobility that integrates a large-scale publicly available dataset from a popular photo-sharing system with the classical gravity model, under a stacked regression procedure. Expand
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Mobile phone data and COVID-19: Missing an opportunity?
TLDR
This paper describes how mobile phone data can guide government and public health authorities in determining the best course of action to control the COVID-19 pandemic and in assessing the effectiveness of control measures such as physical distancing. Expand
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Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle
The coronavirus 2019–2020 pandemic (COVID-19) poses unprecedented challenges for governments and societies around the world ( 1 ). Nonpharmaceutical interventions have proven to be critical forExpand
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