There you go! That sounds great. I bet you’ll do well. Maybe if you find some animal habitat models, population density, etc you can augment further. Would love to hear how it performs.

it can’t identify phenomena that don’t appear in the scene at all.

Object detection in an RGB image doesn’t seem like the right approach for the malaria census. What is the phenomenon you’re looking for? You can’t ‘see’ malaria on the ground, so instead how about looking for conditions that would indicate higher mosquito levels. Like stagnant water mosquito breeding areas, appropriate temperature ranges, lack of predators for mosquitos, low wind speeds, population density, lots of outdoor living, etc. you’ll need some multispectral data but you’ll have better prediction results.