J.M. Depinay
A simulation model of African Anopheles ecology and population dynamics for the analysis of malaria transmission
Depinay, J.M.; Mbogo, C.M.; Killeen, G.F.; Knols, B.G.J.; Beier, J.C.; Carlson, J.; Dushoff, J.; Billingsley, P.; Mwambi, H.; Githure, J.; Toure, A.M.; McKenzie, F.E.
Authors
C.M. Mbogo
G.F. Killeen
B.G.J. Knols
J.C. Beier
J. Carlson
J. Dushoff
P. Billingsley
H. Mwambi
J. Githure
A.M. Toure
F.E. McKenzie
Abstract
BACKGROUND: Malaria is one of the oldest and deadliest infectious diseases in humans. Many mathematical models of malaria have been developed during the past century, and applied to potential interventions. However, malaria remains uncontrolled and is increasing in many areas, as are vector and parasite resistance to insecticides and drugs. METHODS: This study presents a simulation model of African malaria vectors. This individual-based model incorporates current knowledge of the mechanisms underlying Anopheles population dynamics and their relations to the environment. One of its main strengths is that it is based on both biological and environmental variables. RESULTS: The model made it possible to structure existing knowledge, assembled in a comprehensive review of the literature, and also pointed out important aspects of basic Anopheles biology about which knowledge is lacking. One simulation showed several patterns similar to those seen in the field, and made it possible to examine different analyses and hypotheses for these patterns; sensitivity analyses on temperature, moisture, predation and preliminary investigations of nutrient competition were also conducted. CONCLUSIONS: Although based on some mathematical formulae and parameters, this new tool has been developed in order to be as explicit as possible, transparent in use, close to reality and amenable to direct use by field workers. It allows a better understanding of the mechanisms underlying Anopheles population dynamics in general and also a better understanding of the dynamics in specific local geographic environments. It points out many important areas for new investigations that will be critical to effective, efficient, sustainable interventions.
Citation
Depinay, J., Mbogo, C., Killeen, G., Knols, B., Beier, J., Carlson, J., …McKenzie, F. (2004). A simulation model of African Anopheles ecology and population dynamics for the analysis of malaria transmission. Malaria Journal, 3, Article 29. https://doi.org/10.1186/1475-2875-3-29
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 30, 2004 |
Online Publication Date | Jul 30, 2004 |
Publication Date | Jul 30, 2004 |
Deposit Date | May 14, 2018 |
Publicly Available Date | May 14, 2018 |
Journal | Malaria Journal |
Publisher | BioMed Central |
Peer Reviewed | Peer Reviewed |
Volume | 3 |
Article Number | 29 |
DOI | https://doi.org/10.1186/1475-2875-3-29 |
Public URL | https://durham-repository.worktribe.com/output/1573158 |
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Copyright Statement
© 2004 Depinay et al; licensee BioMed Central Ltd. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0),
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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