id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-018976-0ndb7rm2	Iwasa, Yoh	Mathematical Studies of Dynamics and Evolution of Infectious Diseases	2007		.txt	text/plain	1796	109	48	Mathematical modeling of infectious diseases is the most advanced subfield of theoretical studies in biology and the life sciences. The papers included in this volume are for mathematical studies of models on infectious diseases and cancer. This introductory chapter is followed by four papers on infectious disease dynamics, in which the roles of time delay (Chaps. Then, there are two chapters that discuss competition between strains and evolution occurring in the host population (Chap. By considering the appearance of novel strains with different properties from those of the resident population of pathogens, and tracing their abundance, we can discuss the evolutionary dynamics of infectious diseases. Iwasa and his colleagues derive a result that, without cross-immunity among strains, the pathogenicity of the disease tends to increase by any evolutionary changes. Beretta and his colleagues summarize their study of modeling of an immune system dynamics in which time delay is incorporated.	./cache/cord-018976-0ndb7rm2.txt	./txt/cord-018976-0ndb7rm2.txt