Investigation of P. vivax elimination via mass drug administration: A simulation study
Anwar, Md Nurul, McCaw, James M., Zarebski, Alexander E., Hickson, Roslyn I., and Flegg, Jennifer A. (2024) Investigation of P. vivax elimination via mass drug administration: A simulation study. Epidemics, 48. 100789.
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Abstract
Plasmodium vivax is the most geographically widespread malaria parasite. P. vivax has the ability to remain dormant (as a hypnozoite) in the human liver and subsequently reactivate, which makes control efforts more difficult. Given the majority of P. vivax infections are due to hypnozoite reactivation, targeting the hypnozoite reservoir with a radical cure is crucial for achieving P. vivax elimination. Stochastic effects can strongly influence dynamics when disease prevalence is low or when the population size is small. Hence, it is important to account for this when modelling malaria elimination. We use a stochastic multiscale model of P. vivax transmission to study the impacts of multiple rounds of mass drug administration (MDA) with a radical cure, accounting for superinfection and hypnozoite dynamics. Our results indicate multiple rounds of MDA with a high-efficacy drug are needed to achieve a substantial probability of elimination. This work has the potential to help guide P. vivax elimination strategies by quantifying elimination probabilities for an MDA approach.
| Item ID: | 85518 |
|---|---|
| Item Type: | Article (Research - C1) |
| ISSN: | 1878-0067 |
| Copyright Information: | © 2024 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license http://creativecommons.org/licenses/by/4.0/ |
| Funders: | Australian Research Council (ARC), National Health and Medical Research Council of Australia (NHMRC) |
| Projects and Grants: | ARC DP200100747, ARC FT210100034, ARC DP210101920, NHMRC APP2019093, NHMRC APP1134989 |
| Date Deposited: | 16 May 2025 01:24 |
| FoR Codes: | 42 HEALTH SCIENCES > 4202 Epidemiology > 420205 Epidemiological modelling @ 70% 42 HEALTH SCIENCES > 4202 Epidemiology > 420207 Major global burdens of disease @ 30% |
| SEO Codes: | 20 HEALTH > 2001 Clinical health > 200104 Prevention of human diseases and conditions @ 100% |
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