Improving disaggregation models of malaria incidence by ensembling non-linear models of prevalence

Research article (Spatial and Spatio-temporal Epidemiology, 2020) · cited 13× · AI/ML
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Improving disaggregation models of malaria incidence by ensembling non-linear models of prevalence

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Improving disaggregation models of malaria incidence by ensembling non-linear models of prevalence is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Improving disaggregation models of malaria incidence by ensembling non-linear models of prevalence. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-disaggregation-models-of-malaria-incidence-by-ensembling-non-linear-models-of-prevalence
MLA “Improving disaggregation models of malaria incidence by ensembling non-linear models of prevalence.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-disaggregation-models-of-malaria-incidence-by-ensembling-non-linear-models-of-prevalence.
BibTeX @misc{4ortxyz_improving-disaggregation-models-of-malaria-incidence-by-ensembling-non-linear-models-of-prevalence_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving disaggregation models of malaria incidence by ensembling non-linear models of prevalence}}, year = {2026}, url = {https://4ort.xyz/entity/improving-disaggregation-models-of-malaria-incidence-by-ensembling-non-linear-models-of-prevalence}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving disaggregation models of malaria incidence by ensembling non-linear models of prevalence — https://4ort.xyz/entity/improving-disaggregation-models-of-malaria-incidence-by-ensembling-non-linear-models-of-prevalence (retrieved 2026-05-24)

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