Predicting malaria cases using remotely sensed...

Geospatial health 2019 / 05 Vol. 14; Iss. 1

Predicting malaria cases using remotely sensed environmental variables in Nkomazi, South Africa

Adeola, Abiodun Morakinyo, Botai, Joel Ondego, Mukarugwiza Olwoch, Jane, DeW. Rautenbach, Hannes C.J., Adisa, Omolola Mayowa, De Jager, Christiaan, Botai, Christina M., Aaron, Mabuza
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Volume:
14
Journal:
Geospatial Health
DOI:
10.4081/gh.2019.676
Date:
May, 2019
File:
PDF, 958 KB
2019
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