Using Bayesian state-space models to understand the population dynamics of the dominant malaria vector, Anopheles funestus in rural Tanzania

Using Bayesian state-space models to understand the population dynamics of the dominant malaria vector, Anopheles funestus in rural Tanzania

Abstract Background It is often assumed that the population dynamics of the malaria vector Anopheles funestus, its role in malaria transmission and the way it responds to interventions are similar to the more elaborately characterized Anopheles gambiae. However, An. funestus has several unique ecolo...

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Bibliographic Details
Main Authors: Halfan S. Ngowo, Fredros O. Okumu, Emmanuel E. Hape, Issa H. Mshani, Heather M. Ferguson, Jason Matthiopoulos
Format: Article
Language:English
Published: BMC 2022-06-01
Series:Malaria Journal
Subjects:
Anopheles funestus
State space model
Population dynamic
Seasonality
Abundance
Density dependence
Online Access:https://doi.org/10.1186/s12936-022-04189-4

Internet

https://doi.org/10.1186/s12936-022-04189-4

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