Predicting malaria outbreaks from sea surface temperature variability up to 9 months ahead in Limpopo, South Africa, using machine learning

• Autori principali: Patrick Martineau (Autore), Swadhin K. Behera (Autore), Masami Nonaka (Autore), Ratnam Jayanthi (Autore), Takayoshi Ikeda (Autore), Noboru Minakawa (Autore), Philip Kruger (Autore), Qavanisi E. Mabunda (Autore)
• Natura: Libro
• Pubblicazione: Frontiers Media S.A., 2022-08-01T00:00:00Z.
• Soggetti: article
• Accesso online: Connect to this object online.

Malaria is the cause of nearly half a million deaths worldwide each year, posing a great socioeconomic burden. Despite recent progress in understanding the influence of climate on malaria infection rates, climatic sources of predictability remain poorly understood and underexploited. Local weather v...