Additional file 3 of Data-driven and interpretable machine-learning modeling to explore the fine-scale environmental determinants of malaria vectors biting rates in rural Burkina Faso

Taconet, Paul; Porciani, Angélique; Soma, Dieudonné Diloma; Mouline, Karine; Simard, Frédéric; Koffi, Alphonsine Amanan; Pennetier, Cedric; Dabiré, Roch Kounbobr; Mangeas, Morgan; Moiroux, Nicolas

doi:10.6084/m9.figshare.14880659.v1

13071_2021_4851_MOESM3_ESM.pdf (1.93 MB)

Additional file 3 of Data-driven and interpretable machine-learning modeling to explore the fine-scale environmental determinants of malaria vectors biting rates in rural Burkina Faso

journal contribution

posted on 2021-06-30, 03:30 authored by Paul Taconet, Angélique Porciani, Dieudonné Diloma Soma, Karine Mouline, Frédéric Simard, Alphonsine Amanan Koffi, Cedric Pennetier, Roch Kounbobr Dabiré, Morgan Mangeas, Nicolas Moiroux

Additional file 3: Figure S3. Pictures representative of the main land cover classes in the Diébougou area. Pictures were taken in November 2018.

Funding

Expertise France Agence Nationale de la Recherche

History

Usage metrics

Keywords

Malaria Anopheles Biting behavior Abundance Ecological niche Earth observation data Statistical modeling Cross-correlation maps Random forest Interpretable machine learning Africa

Licence

CC BY + CC0

Exports

RefWorks

BibTeX

Ref. manager

Endnote

DataCite

NLM

DC

Additional file 3 of Data-driven and interpretable machine-learning modeling to explore the fine-scale environmental determinants of malaria vectors biting rates in rural Burkina Faso

Funding

Expertise France Agence Nationale de la Recherche

History

Usage metrics

Categories

Keywords

Licence

Exports