GLARMA negative binomial regression outperforms standard regression and time series models for forecasting malaria incidence counts in Mumbai.
Mapping the global endemicity and clinical burden ofPlasmodium vivax, 2000–17: a spatial and temporal modelling study
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Count data modeling and forecasting of malaria incidence using generalized time series regression
GLARMA negative binomial regression outperforms standard regression and time series models for forecasting malaria incidence counts in Mumbai.