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Mathematical assessment of the role of intervention programs for malaria control.
Korsah, Maame Akua; Johnston, Stuart T; Tiedje, Kathryn E; Day, Karen P; Flegg, Jennifer A; Walker, Camelia R.
Afiliación
  • Korsah MA; School of Mathematics and Statistics, The University of Melbourne, Melbourne, Australia.
  • Johnston ST; School of Mathematics and Statistics, The University of Melbourne, Melbourne, Australia.
  • Tiedje KE; Department of Microbiology and Immunology, Bio21 Institute and Peter Doherty Institute, The University of Melbourne, Melbourne, Australia.
  • Day KP; Department of Microbiology and Immunology, Bio21 Institute and Peter Doherty Institute, The University of Melbourne, Melbourne, Australia.
  • Flegg JA; School of Mathematics and Statistics, The University of Melbourne, Melbourne, Australia.
  • Walker CR; School of Mathematics and Statistics, The University of Melbourne, Melbourne, Australia.
medRxiv ; 2023 Dec 19.
Article en En | MEDLINE | ID: mdl-38196597
ABSTRACT
Malaria remains a global health problem despite the many attempts to control and eradicate it. There is an urgent need to understand the current transmission dynamics of malaria and to determine the interventions necessary to control malaria. In this paper, we seek to develop a fit-for-purpose mathematical model to assess the interventions needed to control malaria in an endemic setting. To achieve this, we formulate a malaria transmission model to analyse the spread of malaria in the presence of interventions. A sensitivity analysis of the model is performed to determine the relative impact of the model parameters on disease transmission. We explore how existing variations in the recruitment and management of intervention strategies affect malaria transmission. Results obtained from the study imply that the discontinuation of existing interventions has a significant effect on malaria prevalence. Thus, the maintenance of interventions is imperative for malaria elimination and eradication. In a scenario study aimed at assessing the impact of long-lasting insecticidal nets (LLINs), indoor residual spraying (IRS), and localized individual measures, our findings indicate that increased LLINs utilization and extended IRS coverage (with longer-lasting insecticides) cause a more pronounced reduction in symptomatic malaria prevalence compared to a reduced LLINs utilization and shorter IRS coverage. Additionally, our study demonstrates the impact of localized preventive measures in mitigating the spread of malaria when compared to the absence of interventions.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: MedRxiv Año: 2023 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: MedRxiv Año: 2023 Tipo del documento: Article País de afiliación: Australia