Mathematical models continue to play a major role in the studies of the transmission dynamics and control of malaria, a life-threatening parasitic disease that kills nearly one million people worldwide annually. Although existing models have advanced our understanding of malaria, new models are urgently needed to capture new challenges.
The National Institute for Mathematical and Biological Synthesis (NIMBioS) is now accepting applications for its Investigative Workshop: Malaria Modeling and Control to be held June 15-17, 2011, at NIMBioS on the University of Tennessee, Knoxville, campus. The goal of this workshop is to bring together mathematicians and biologists to discuss cutting-edge approaches to modeling malaria transmission and control.
In 2008, 243 million malaria cases led to about 863,000 deaths, a slight drop from 2006 statistics. This slight drop in mortality resulted from a number of improved policies, including increased international funding for research and healthcare, provision of insecticide-treated bed-nets, and a revival of support for indoor residential insecticide spraying. Despite this slight drop, challenges like drug resistance, the global financial slow-down and changing climatic conditions pose a threat to efforts to control malaria.
Mathematical models to help understand the dynamics of malaria have evolved progressively in recent years. However, new models are needed that account for current climatic changes, that incorporate the use of a potential vaccine, and that reflect the economic burden of the malaria-afflicted nations. Such a model can inform policymakers on the most effective combination of control tools to reduce the burden of malaria and to ultimately contribute to finding a means to eradicate the disease.
The workshop is organized Miranda I. Teboh-Ewungkem (Dept. of Mathematics, Lafayette College, Easton, PA); Folashade Agusto (NIMBioS, Univ. Tennessee, Knoxville); and Frederick Baliraine (Univ. Califor
|Contact: Catherine Crawley|
National Institute for Mathematical and Biological Synthesis (NIMBioS)