Climate Change, Water Insecurity, and Urban Dengue Transmission in Variable Landscapes

This transdiciplinary project seeks to understand the effects household adaptation to climate-driven water insecurity on the abundance and productivity of the mosquito vectors of the dengue virus. Using remotely sensed, field and experimental data, we will then model how reduction of A. aegypti production affects the risk of dengue epidemics in different types of neighborhoods in three cities in Colombia. The results of this project will guide the development of sustained household water adaptation strategies to maximize the suppression of dengue transmission.

Environmental Determinants of Urban Leptospirosis in Slum Communities in Salvador, Brazil

Salvador, Brazil

Remote sensing

Currently, half of the world’s population lives in urban areas, and one billion live in slum communities. While there has been an increased interest in predicting the spread of urban slum areas, few studies have examined urban ecology and land use in these areas. Remote sensing combined with other spatial datasets have become an important tool in measuring land cover and land use, and has been increasingly used in urban environments to study poverty and inequality. We have assessed the association between remotely sensed proxies and census derived measures of deprivation in Salvador, Brazil. The use of remotely sensed data can be used to disaggregate census block data to decrease the spatial uncertainty and generate a more accurate map of urban slums.

Degrees of Dengue

Urbanization and climate change are being analyzed by the Yale School of Public Health to determine how such variables affect a deadly tropical disease. Article appearing on page 33 of the spring 2011 edition of Yale Public Health magazine.