title: Optimal vaccination and bednet maintenance for the control of malaria in a region with naturally acquired immunity.
abstract: Following over two decades of research, the malaria vaccine candidate RTS,S has reached the final stages of vaccine trials, demonstrating an efficacy of roughly 50% in young children. Regions with high malaria prevalence tend to have high levels of naturally acquired immunity (NAI) to severe malaria; NAI is caused by repeated exposure to infectious bites and results in large asymptomatic populations. To address concerns about how these vaccines will perform in regions with existing NAI, we developed a simple malaria model incorporating vaccination and NAI. Typically, if the basic reproduction number (R0) for malaria is greater than unity, the disease will persist; otherwise, the disease will become extinct. However, analysis of this model revealed that NAI, compounded by a subpopulation with only partial protection to malaria, may render vaccination efforts ineffective and potentially detrimental to malaria control, by increasing R0 and increasing the likelihood of malaria persistence even when R0<1. The likelihood of this scenario increases when non-immune infected individuals are treated disproportionately compared with partially immune individuals - a plausible scenario since partially immune individuals are more likely to be asymptomatically infected. Consequently, we argue that active case-detection of asymptomatic infections is a critical component of an effective malaria control program. We then investigated optimal vaccination and bednet control programs under two endemic settings with varying levels of naturally acquired immunity: a typical setting under which prevalence decays when R0<1, and a setting in which subthreshold endemic equilibria exist. A qualitative comparison of the optimal control results under the first setting revealed that the optimal policy differs depending on whether the goal is to reduce total morbidity, or to reduce clinical infections. Furthermore, this comparison dictates that control programs should place less effort in vaccination as the level of NAI in a population, and as disease prevalence, increases. In the second setting, we demonstrated that the optimal policy is able to confer long-term benefits with a 10-year control program by pushing the system into a new state where the disease-free equilibrium becomes the attracting equilibrium. While this result suggests that one can theoretically achieve long-term benefits with a short-term strategy, we illustrate that in this second setting, a small environmental change, or the introduction of new cases via immigration, places the population at high risk for a malaria epidemic.
authors.affiliation: Department of Mathematics, Dartmouth College, Hanover, NH, USA. Electronic address: olivia.f.prosper@dartmouth.edu.
authors.forename: Olivia
authors.initials: O
authors.lastname: Prosper
authors.affiliation: Department of Biology, University of Florida, Gainesville, FL, USA.
authors.forename: Nick
authors.initials: N
authors.lastname: Ruktanonchai
authors.affiliation: Department of Mathematics, University of Florida, Gainesville, FL, USA.
authors.forename: Maia
authors.initials: M
authors.lastname: Martcheva
mesh_terms: D019353:Endemic Diseases / Q000517:prevention & control; D006801:Humans; D007113:Immunity, Innate; D008288:Malaria / Q000276:immunology* / Q000517:prevention & control*; D017780:Malaria Vaccines; D008954:Models, Biological; D057147:Mosquito Nets; D009716:Numerical Analysis, Computer-Assisted; D014611:Vaccination
chemical_list: D017780:Malaria Vaccines
keywords: Backward bifurcation; Differential equations; Leaky vaccines; Mathematical model; Optimal control theory