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Author Vogt-Geisse, K.; Lorenzo, C.; Feng, Z.L. pdf  url
doi  openurl
  Title Impact Of Age-Dependent Relapse And Immunity On Malaria Dynamics Type
  Year 2013 Publication Journal Of Biological Systems Abbreviated Journal J. Biol. Syst.  
  Volume 21 Issue 4 Pages 49 pp  
  Keywords Malaria; Endemic Model; Age-structure; Reproductive Number; Uncertainty and Sensitivity Analysis  
  Abstract An age-structured mathematical model for malaria is presented. The model explicitly includes the human and mosquito populations, structured by chronological age of humans. The infected human population is divided into symptomatic infectious, asymptomatic infectious and asymptomatic chronic infected individuals. The original partial differential equation (PDE) model is reduced to an ordinary differential equation (ODE) model with multiple age groups coupled by aging. The basic reproduction number R-0 is derived for the PDE model and the age group model in the case of general n age groups. We assume that infectiousness of chronic infected individuals gets triggered by bites of even susceptible mosquitoes. Our analysis points out that this assumption contributes greatly to the R0 expression and therefore needs to be further studied and understood. Numerical simulations for n = 2 age groups and a sensitivity/uncertainty analysis are presented. Results suggest that it is important not only to consider asymptomatic infectious individuals as a hidden cause for malaria transmission, but also asymptomatic chronic infections (>60%), which often get neglected due to undetectable parasite loads. These individuals represent an important reservoir for future human infectiousness. By considering age-dependent immunity types, the model helps generate insight into effective control measures, by targeting age groups in an optimal way.  
  Address [Vogt-Geisse, Katia; Lorenzo, Christina; Feng, Zhilan] Purdue Univ, Dept Math, W Lafayette, IN 47907 USA, Email:;  
  Corporate Author Thesis  
  Publisher World Scientific Publ Co Pte Ltd Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0218-3390 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000331243400002 Approved  
  Call Number UAI @ eduardo.moreno @ Serial 351  
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