16 citations · 17 across the 3 of their papers we have counts for
3 papers
Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil
Adrienne C. Kinney, Anya Workman, Ademar Takeo Akabane +5
Accurate, up-to-date income data at the sub-municipal scale is essential for social policy in middle-income countries, yet in Brazil it depends on a costly decennial census whose i…
Rapid and accurate mosquito abundance forecasting with Aedes-AI neural networks
Adrienne C. Kinney, Roberto Barrera, Joceline Lega
We present a method to convert weather data into probabilistic forecasts of Aedes aegypti abundance. The approach, which relies on the Aedes-AI suite of neural networks, produces w…
Aedes-AI: Neural Network Models of Mosquito Abundance
Adrienne C. Kinney, Sean Current, Joceline Lega
We present artificial neural networks as a feasible replacement for a mechanistic model of mosquito abundance. We develop a feed-forward neural network, a long short-term memory re…