From: Age-shifting in malaria incidence as a result of induced immunological deficit: a simulation study
Variable | Levels simulated for PEV and SMC | |
---|---|---|
Model variants | (1) R0000 base model | |
(2) R0068 heterogeneity in transmission: within-host variability | ||
(3) R0131 immunity decay in effective cumulative exposure | ||
(4) R0132 immunity decay in immune proxies | ||
(5) R0133 immunity decay in both immune proxies & effective cumulative exposure | ||
(6) R0670 heterogeneity in susceptibility to co-morbidity | ||
Population size | 100,000 | |
Age-group upper bounds (years) | 1, 2, 3, 4, 5, 6, 10, 12, 16, 20, 30, 40, 50, 60, 70, 99 | |
Survey intervals | Yearly surveys for 20 years | |
Transmission pattern | Seasonal, West Africa | |
EIR (infectious bites per person per year) | 0.1a, 1, 2, 4, 8, 16, 64, 256 | |
Uncomplicated case managementb (%) | 0, 5, 40 | |
Inpatient care for severe casesc (%) | 0, 100 | |
Vaccination coverage (%) | 0, 100 |
 | PEV only | SMC only |
---|---|---|
Cohort age | EPI cohort 6, 10, 14 weeks old | All children aged between 3–59 months |
Initial efficacy against infection (%) | 62.7 | 100 |
Half-life (years) | 1.12 | 0.175 |
Weibull decay shape parameter (k) | 1 (exponential decay) | 3.300 (slow decay, followed by quick decay) |
Number of simulations | 67,680 | 10,080 |