Managing the spread of disease with mobile phone data

Using Mobile Phone Data to Predict the Spatial Spread of Cholera

Effective response to infectious disease epidemics requires focused control measures in areas predicted to be at high risk of new outbreaks. We aimed to test whether mobile operator data could predict the early spatial evolution of the 2010 Haiti cholera epidemic. Daily case data were analysed for 78 study areas from October 16 to December 16, 2010. Movements of 2.9 million anonymous mobile pho...

Managing Sensor Data with Mobile Location

With the continuously advances in mobile devices, positioning technologies, geo-location wireless sensors or general data sensors, moving objects databases have been an important research subject in the last years. A comprehensive framework of abstract data types to describe objects that move freely or in networks has already been proposed. However, a moving object can produce additional data f...

Safety Issues of Mobile Phone Base Stations

Using mobile phone contextual information to facilitate managing image collections

In this paper, we describe a prototype application that utilizes the embedded sensors in advanced mobile phones to infer meaningful contextual information, with the potential to support the users in managing their personal information. Contextual information such as time, location, movement, surrounding networks, devices, people, and application data is used to semi-automatically annotate infor...

Modelling of Building Interiors with Mobile Phone Sensor Data

Creating as-built plans of building interiors is a challenging task. In this paper we present a semi-automatic modelling system for creating residential building interior plans and their integration with existing map data to produce building models. Taking a set of imprecise measurements made with an interactive mobile phone room mapping application, the system performs spatial adjustments in a...