Publications by Flavio Finger | EPFL Graph Search

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Understanding the epidemiology of cholera, when and where it occurs and how it spreads, is key to its prevention and control. Models can help to apprehend cholera outbreaks by providing insight into critical epidemiological processes, and may be used to ev ...

Mathematical models of cholera dynamics can not only help in identifying environmental drivers and processes that influence disease transmission, but may also represent valuable tools for the prediction of the epidemiological patterns in time and space as ...

Despite major attempts to prevent cholera transmission, millions of people worldwide still must address this devastating disease. Cholera research has so far mainly focused on the causative agent, the bacterium Vibrio cholerae, or on disease treatment, but ...

More than three years after its appearance in Haiti, cholera has already caused more than 8,500 deaths and 695,000 infections and it is feared to become endemic. However, no clear evidence of a stable environmental reservoir of pathogenic Vibrio cholerae, ...

Although treatment for cholera is well-known and cheap, outbreaks in epidemic regions still exact high death tolls mostly due to the unpreparedness of health care infrastructures to face unforeseen emergencies. In this context, mathematical models for the ...

The spatiotemporal evolution of human mobility and the related fluctuations of population density are known to be key drivers of the dynamics of infectious disease outbreaks. These factors are particularly relevant in the case of mass gatherings, which may ...

Flavio Finger

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Spatially explicit modeling of cholera epidemics

Cholera in the Lake Kivu region (DRC): Integrating remote sensing and spatially explicit epidemiological modeling

Glucose- but Not Rice-Based Oral Rehydration Therapy Enhances the Production of Virulence Determinants in the Human Pathogen Vibrio cholerae

On the probability of extinction of the Haiti cholera epidemic

Real-time projections of cholera outbreaks through data assimilation and rainfall forecasting

Mobile phone data highlights the role of mass gatherings in the spreading of cholera outbreaks