title: Analysis of a vector-bias effect in the spread of malaria between two different incidence areas.
abstract: In 2005, Lacroix et al. demonstrated that infected humans are more attractive to mosquitoes, a phenomenon known as the vector-bias effect. The aim of this study was to determine how a vector-bias effect affects the changes in the dynamics of malaria transmission, and the changes in control strategies and cost-effectiveness for optimal control considering the regional characteristics or force of infections for different transmission rates. We used a vector-bias mathematical model and considered two different incidence areas: a high transmission area and a low transmission area. Our results showed that the dynamics in the two areas differed; as bias exists and the strategy for optimal control could be changed in the different areas. Thus, this work may give that considering the vector-bias effect in different areas facilitates prediction of the future dynamics and make decisions for establishing controls. We also mention the evolution of malaria parasites in this study.
authors.affiliation: Department of Mathematics, Pusan National University, Busan 46241, Republic of Korea.
authors.forename: Sungchan
authors.initials: S
authors.lastname: Kim
authors.affiliation: Department of Mathematics, Kyungpook National University, Daegu 41566, Republic of Korea.
authors.forename: M A
authors.initials: MA
authors.lastname: Masud
authors.affiliation: Department of Mathematics, Pusan National University, Busan 46241, Republic of Korea.
authors.forename: Giphil
authors.initials: G
authors.lastname: Cho
authors.affiliation: Department of Mathematics, Pusan National University, Busan 46241, Republic of Korea. Electronic address: ilhjung@pusan.ac.kr.
authors.forename: Il Hyo
authors.initials: IH
authors.lastname: Jung
mesh_terms: D000349:Africa / Q000453:epidemiology; D000465:Algorithms; D000818:Animals; D000852:Anopheles / Q000469:parasitology*; D001938:Brazil / Q000453:epidemiology; D019353:Endemic Diseases / Q000517:prevention & control; D006790:Host-Parasite Interactions; D006801:Humans; D015994:Incidence; D007194:India / Q000453:epidemiology; D007214:Indonesia / Q000453:epidemiology; D007303:Insect Vectors / Q000469:parasitology*; D016778:Malaria, Falciparum / Q000453:epidemiology / Q000469:parasitology* / Q000635:transmission; D008800:Mexico / Q000453:epidemiology; D008962:Models, Theoretical; D010963:Plasmodium falciparum / Q000302:isolation & purification / Q000502:physiology*; D012529:Saudi Arabia / Q000453:epidemiology
keywords: A vector-bias effect; Cost-effectiveness analysis; Endemic-size; High transmission; Low transmission; Malaria transmission dynamics; Optimal control; Sensitivity analysis