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Impact of asymptomatic infections on malaria transmission dynamics

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Bibliographic Details
Title: Impact of asymptomatic infections on malaria transmission dynamics
Authors: Andualem Tekle Haringo, Legesse Lemecha Obsu, Feyissa Kebede Bushu
Source: Infectious Disease Modelling, Vol 10, Iss 4, Pp 1456-1478 (2025)
Publisher Information: KeAi Communications Co., Ltd., 2025.
Publication Year: 2025
Collection: LCC:Infectious and parasitic diseases
Subject Terms: Asymptomatic infection, Malaria transmission, Dynamics, Simulation, Infectious and parasitic diseases, RC109-216
Description: A considerable proportion of malaria infections are asymptomatic, serving as reservoirs that sustain transmission. This study develops a deterministic mathematical model to examine the spread of malaria with a focus on asymptomatic infections. By analyzing key properties such as positivity, boundedness, and stability of equilibria, the model highlights the epidemiological relevance of these silent carriers. The basic reproduction number R0 was calculated using the next-generation matrix method, revealing critical dynamics, including backward bifurcation. The quantitative result of the threshold R0 reveals that asymptomatic cases contribute approximately 30 % to the basic reproduction number, while symptomatic cases account for about 70 %. These findings highlight the need for integrated control strategies that address both symptomatic and asymptomatic malaria cases to effectively manage and reduce malaria transmission.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2468-0427
Relation: http://www.sciencedirect.com/science/article/pii/S2468042725000715; https://doaj.org/toc/2468-0427
DOI: 10.1016/j.idm.2025.07.012
Access URL: https://doaj.org/article/c41af290f25d4ce1addccd15d3d70a98
Accession Number: edsdoj.41af290f25d4ce1addccd15d3d70a98
Database: Directory of Open Access Journals
Description
Abstract:A considerable proportion of malaria infections are asymptomatic, serving as reservoirs that sustain transmission. This study develops a deterministic mathematical model to examine the spread of malaria with a focus on asymptomatic infections. By analyzing key properties such as positivity, boundedness, and stability of equilibria, the model highlights the epidemiological relevance of these silent carriers. The basic reproduction number R0 was calculated using the next-generation matrix method, revealing critical dynamics, including backward bifurcation. The quantitative result of the threshold R0 reveals that asymptomatic cases contribute approximately 30 % to the basic reproduction number, while symptomatic cases account for about 70 %. These findings highlight the need for integrated control strategies that address both symptomatic and asymptomatic malaria cases to effectively manage and reduce malaria transmission.
ISSN:24680427
DOI:10.1016/j.idm.2025.07.012