Age-shifting in malaria incidence as a result of induced immunological deficit: a simulation study
Pemberton‑Ross et al. Malar J (2015) 14:287
DOI 10.1186/s12936-015-0805-1
Open Access
RESEARCH
Age‑shifting in malaria incidence as a
result of induced immunological deficit: a
simulation study
Peter Pemberton‑Ross1,2*, Thomas A Smith1,2, Eva Maria Hodel3, Katherine Kay3 and Melissa A Penny1,2
Abstract
Effective population-level interventions against Plasmodium falciparum malaria lead to age-shifts, delayed morbid‑
ity or rebounds in morbidity and mortality whenever they are deployed in ways that do not permanently interrupt
transmission. When long-term intervention programmes target specific age-groups of human hosts, the age-specific
morbidity rates ultimately adjust to new steady-states, but it is very difficult to study these rates and the temporal
dynamics leading up to them empirically because the changes occur over very long time periods. This study investi‑
gates the age and magnitude of age- and time- shifting of incidence induced by either pre-erythrocytic vaccination
(PEV) programmes or seasonal malaria chemo-prevention (SMC), using an ensemble of individual-based stochastic
simulation models of P. falciparum dynamics. The models made various assumptions about immunity decay, trans‑
mission heterogeneity and were parameterized with data on both age-specific infection and disease incidence at
different levels of exposure, on the durations of different stages of the parasite life-cycle and on human demography.
Effects of transmission intensity, and of levels of access to malaria treatment were considered. While both PEV and
SMC programmes are predicted to have overall strongly positive health effects, a shift of morbidity into older children
is predicted to be induced by either programme if transmission levels remain static and not reduced by other inter‑
ventions. Predicted shifting of burden continue into the second decade of the programme. Even if long-term surveil‑
lance is maintained it will be difficult to avoid mis-attribution of such long-term changes in age-specific morbidity
patterns to other factors. Conversely, short-lived transient changes in incidence measured soon after introduction of
a new intervention may give over-positive views of future impacts. Complementary intervention strategies could be
designed to specifically protect those age-groups at risk from burden shift.
Keywords: Malaria, Epidemiology, Vaccines, Chemoprevention, Age shift
Background
Countries and organizations aiming to reduce the publichealth burden of malaria have at their disposal an increasing number of options for intervention. These cover
a wide range of modes of action, potential strategies of
deployment and cost, making comprehensive analysis of
effectiveness and cost-effectiveness challenging. It is not
possible to cover all intervention combinations of interest by field trials, thus modeling and simulation can be
useful to interpolate, optimize intervention packages and
explore hypotheses [1].
*Correspondence: peter.pemberton‑
1
Swiss Tropical and Public Health Institute, 4002 Basel, Switzerland
Full list of author information is available at the end of the article
This is particularly the case for analyses of the long-term
effects of infection blocking interventions such as long-lasting insecticide-treated nets (LLINs) [2–4] or pre-erythrocytic vaccines (PEV) [5–7], but also to chemotherapy and
prophylaxis strategies including test and treat [2], mass drug
administration (MDA) [8] or seasonal malaria chemo-prevention (SMC; formerly referred to as Intermittent Preventive Treatment in children or IPTc) [9]. These interventions
drive complex interplay of exposure and delay of natural
immunity that may have counter-intuitive effects on subsequent transmission and burden [10, 11]. The advantages
of infection blocking interventions are clear; the immediate burden associated with the infection is averted, and at
the same time onward transmission of the parasite can be
© 2015 Pemberton-Ross et al. This article is distributed under the terms of the Creative Commons Attribution 4.0 International
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Pemberton‑Ross et al. Malar J (2015) 14:287
prevented with high enough coverage of the whole population, and thus not just those receiving the intervention may
be protected [12].
Such interventions directly reduce immune challenge to
individuals using the interventions. MDA strategies typically
stipulate age-stratified cohorts for treatment, which even in
the ideal scenario of a programme with perfect coverage and
compliance will only cover a given individual for the length
of time they remain in the designated age band [13]. Current
strategies for interventions often target children under five
years of age, leaving them without protection at older ages.
Excess disease incidence resulting from the immunological
opportunity cost will, therefore, be expected in age groups
older than those treated if everything else remains static. In
addition, reductions in transmission either to intervened
and non-intervened individuals also reduce immune challenge and hence acquisition of natural immunity and also
potentially allows decay of pre-existing immunity. This does
not argue against interventions that delay immunity acquisition, but highlights the additional need to continue or
increase coverage interventions for these individuals.
Averting infection and disease in one age group is thus
likely to be accompanied by an excess of episodes in older age
groups of the same individuals: referred to as an age-shift.
Such age-shifts of clinical disease are a result of changes in
exposure and delay of blood-stage malaria infection immunity acquisition, and are a general characteristic of infectious disease epidemiology [14], especially where (as with
malaria) there is typically endemic stability [15] rather than
epidemics. There have consequently been recurrent suggestions that interventions blocking malaria infection may lead
to increases in clinical and severe disease burden in older
individuals or at later time points [16–20]. While age-shifts,
delays or rebounds are clearly predicted by many theoretical
models of malaria dynamics [15, 21], direct measurement
of these effects is generally impractical because of the short
duration of most field trials, such as those used to establish
the efficacy of ITNs [22–24] or of the RTS,S PEV [25, 26].
Where randomization is maintained for long enough, as in
recent Phase II RTS,S trials [27, 28], a conventionally limited
empirical analysis (i.e., one without accompanying serologica (...truncated)