Hanna Jöst

This paper evaluates using low-cost smartphone imaging with geometric wing morphometrics to accurately identify invasive Aedes mosquito species, finding it reliable but with higher observer variability compared to professional microscopes.

This study examines morphological and genetic diversity in Aedes aegypti across different landscapes in West Africa, revealing significant variation in scaling patterns and mitochondrial lineages.

The paper introduces a dataset of mosquito wing images to support geometric morphometry and machine learning for species identification.