Lu, Xin

Mapping poverty using mobile phone and satellite data.

Publication Date: 
Feb 02, 2017

Poverty is one of the most important determinants of adverse health outcomes globally, a major cause of societal instability and one of the largest causes of lost human potential.

Using mobile phone data to predict the spatial spread of cholera.

Journal Title: 
Publication Date: 
Mar 09, 2015

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.

Predictability of population displacement after the 2010 Haiti earthquake.

Author(s): 
Publication Date: 
Jul 18, 2012

Most severe disasters cause large population movements. These movements make it difficult for relief organizations to efficiently reach people in need.

Improved response to disasters and outbreaks by tracking population movements with mobile phone network data: a post-earthquake geospatial study in Haiti.

Journal Title: 
Publication Date: 
Sep 15, 2011

BACKGROUND: Population movements following disasters can cause important increases in morbidity and mortality. Without knowledge of the locations of affected people, relief assistance is compromised. No rapid and accurate method exists to track population movements after disasters.