Characterization of the infectious reservoir of malaria with an agent-based model calibrated to age-stratified parasite densities and infectiousness
Jaline Gerardin, Andre Lin Ouedraogo, Kevin A. McCarthy, Bocar, Kouyate, Philip A. Eckhoff, Edward A. Wenger

TL;DR
This study uses an agent-based model calibrated to diverse malaria data to analyze the infectious reservoir, revealing the importance of low-density infections and strategic interventions for malaria elimination.
Contribution
It introduces a calibrated agent-based model that characterizes the infectious reservoir across transmission intensities and evaluates intervention strategies.
Findings
Low-density infections are a significant part of the infectious reservoir.
Vector control and case management reduce the reservoir and shift its composition.
Mass drug campaigns can effectively interrupt transmission if timed correctly.
Abstract
Background Elimination of malaria can only be achieved through removal of all vectors or complete depletion of the infectious reservoir in humans. Mechanistic models can be built to synthesize diverse observations from the field collected under a variety of conditions and subsequently used to query the infectious reservoir in great detail. Methods The EMOD model of malaria transmission was calibrated to prevalence, incidence, asexual parasite density, gametocyte density, infection duration, and infectiousness data from 9 study sites. The infectious reservoir was characterized by diagnostic detection limit and age group over a range of transmission intensities with and without case management and vector control. Mass screen-and-treat drug campaigns were tested for likelihood of achieving elimination. Results The composition of the infectious reservoir by diagnostic threshold is similar…
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