Project aim is to improve health metrics, intervention targeting, disease surveillance and elimination strategy design in low and middle income countries through constructing more accurate denominator data.
Start date: 1/1/2019
End date: 31/12/2020
WorldPop datasets form the denominator basis of analyses undertaken by governments, UN agencies, as well as recent precision public health work by IHME. Here, approaches will be developed and adapted to refine these datasets to focus on seasonal variations in low and middle income countries, and support further the development of precision public health in these settings. The assembly and integration in a statistical modelling framework of data from travel surveys, satellite imagery, internet check-ins, social media, mobile phone call detail records and GPS trackers will be used to construct subnational estimates of how population densities and dynamics change seasonally.