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modelling

Field, Genetic, and Modeling Approaches Show Strong Positive Selection Acting upon an Insecticide Resistance Mutation in Anopheles gambiae s.s

Author(s): 
Amy Lynd, David Weetman, Susana Barbosa, Alexander Egyir Yawson, Sara Mitchell, Joao Pinto, Ian Hastings and Martin J. Donnelly
Reference: 
Molecular Biology and Evolution 2010 27(5):1117-1125
Contact email: 
m.j.donnelly@liv.ac.uk

In this study, we employ haplotype diversity analysis to examine evidence for selective sweeps around knockdown resistance (kdr) mutations associated with resistance to dichlorodiphenyltrichloroethane and pyrethroid insecticides in the mosquito Anopheles gambiae.

Open Access | Assessing the future threat from vivax malaria in the United Kingdom using two markedly different modelling approaches

Author(s): 
Steven W Lindsay, David G Hole, Robert A Hutchinson, Shane A Richards, Steven G Willis
Reference: 
Malaria Journal 2010, 9:70 (5 March 2010)
Contact email: 
Steve.Lindsay@lshtm.ac.uk

Although the future climate in the UK is favourable for the transmission of vivax malaria, the future risk of locally transmitted malaria is considered low because of low vector biting rates and the low probability of vectors feeding on a malaria-infected person.

Open Access | Nonlinear mixed effects modeling of gametocyte carriage in patients with uncomplicated malaria

Author(s): 
Greg B Distiller, Francesca Little, Karen I Barnes
Reference: 
Malaria Journal 2010, 9:60 (26 February 2010)
Contact email: 
Greg.Distiller@uct.ac.za

Despite the obviously important role that gametocytes play in the transmission of malaria and spread of anti-malarial resistance, it is common to estimate gametocyte carriage indirectly based on asexual parasite measurements. The objective of this research was to directly model observed gametocyte densities over time, during the primary infection.

Open Access | Local scale prediction of Plasmodium falciparum malaria transmission in an endemic region using temperature and rainfall

Author(s): 
Yazoume´ Ye´ 1*, Moshe Hoshen2, Catherine Kyobutungi1, Vale´ rie R. Louis3 and Rainer Sauerborn4,3
Reference: 
Global Health Action 2009
Contact email: 
yyazoume@aphrc.org

We develop, fit and validate a non-spatial dynamic model driven by meteorological conditions that can capture seasonal malaria transmission dynamics at the village level in a malaria holoendemic area of north-western Burkina Faso.

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