Public release date: 20-Jun-2012 [ | E-mail | Share ] <\/p>\n
Contact: Karthika Muthukumaraswamy karthika@siam.org<\/a> 267-350-6383 Society for Industrial and Applied Mathematics<\/p>\n Philadelphia June 20, 2012Malaria affects over 200 million individuals every year and kills hundreds of thousands of people worldwide. The disease varies greatly from region to region in the species that cause it and in the carriers that spread it. It is easily transmitted across regions through travel and migration. This results in outbreaks of the disease even in regions that are essentially malaria-free, such as the United States. Malaria has been nearly eliminated in the U.S. since the 1950s, but the country continues to see roughly 1,500 cases a year, most of them from travelers. Hence, the movement or dispersal of populations becomes important in the study of the disease. <\/p>\n In a paper published this month in the SIAM Journal on Applied Mathematics, authors Daozhou Gao and Shigui Ruan propose a mathematical model to study malaria transmission. <\/p>\n \"Malaria is a parasitic vector-borne disease caused by the plasmodium parasite, which is transmitted to people via the bites of infected female mosquitoes of the genus Anopheles,\" says Ruan. \"It can be easily transmitted from one region to another due to extensive travel and migration.\" <\/p>\n The life cycle of plasmodium involves incubation periods in two hosts, the human and the mosquito. Therefore, mathematical modeling of the spread of malaria usually focuses on the feedback dynamics from mosquito to human and back. Early models were based on malaria parasites' population biology and evolution. But increased computing power in recent years has allowed models for the disease to become more detailed and complex. <\/p>\n Mathematical models that study transmission of malaria are based on the \"reproduction number,\" which defines the most important aspects of transmission for any infectious disease. Specifically, it is calculated by determining the expected number of infected organisms that can trace their infection directly back to a single organism after one disease generation. The solution to controlling the disease is to arrive at a reproduction number at which the disease-free state can be established and maintained. <\/p>\n Previous studies used ordinary differential equations to model the transmission of malaria, in which human populations are classified as susceptible, exposed, infectious and recovered. Likewise, mosquito populations are divided into susceptible, exposed and infectious groups. The threshold below which the disease-free equilibrium can be maintained is determined by varying these parameters. <\/p>\n In order to analyze transmission rates of malaria between regions, multi-patch models are used, where each region is a \"patch.\" These models study how the reproduction number is affected by dispersal or movement of exposed and infectious individuals from region to region. <\/p>\n The authors in this paper model the transmission dynamics of malaria between humans and mosquitoes within a patch, and then go on to examine how population dispersal between patches or regions affects the spread of malaria in a two-patch model. <\/p>\n<\/p>\n Here is the original post: Public release date: 20-Jun-2012 [ | E-mail | Share ] Contact: Karthika Muthukumaraswamy karthika@siam.org<\/a> 267-350-6383 Society for Industrial and Applied Mathematics Philadelphia June 20, 2012Malaria affects over 200 million individuals every year and kills hundreds of thousands of people worldwide. The disease varies greatly from region to region in the species that cause it and in the carriers that spread it Continue reading
\nThe math of malaria<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"