Modelling the impact of different intervention packages for malaria control under varying intensities of pyrethroid resistance

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Titel: Modelling the impact of different intervention packages for malaria control under varying intensities of pyrethroid resistance
Autoren: Hamenyimana E. Gervas, Maranya M. Mayengo, Yeromin P. Mlacha, Halfan S. Ngowo, Fredros O. Okumu, Prashanth Selvaraj
Quelle: Malaria Journal, Vol 24, Iss 1, Pp 1-20 (2025)
Verlagsinformationen: BMC, 2025.
Publikationsjahr: 2025
Bestand: LCC:Arctic medicine. Tropical medicine
LCC:Infectious and parasitic diseases
Schlagwörter: Insecticide resistance, Anopheles funestus, Anopheles arabiensis, Resistance intensity, Mathematical modelling, Integrated vector control, Arctic medicine. Tropical medicine, RC955-962, Infectious and parasitic diseases, RC109-216
Beschreibung: Abstract Background Malaria control in sub-Saharan Africa faces significant challenges from biological threats, such as insecticide resistance and adaptive vector behaviours, as well as increasing financial constraints, which necessitate strategic intervention planning to maximize impact. This study assesses the effectiveness of combining vector control methods, case management, and immunoprevention to reduce malaria in Tanzania, considering varying intensities of insecticide resistance in the main vector species. Methods A compartmental model was developed to simulate malaria transmission, incorporating the dominant vectors: Anopheles funestus (anthropophilic and endophilic) and Anopheles arabiensis (zoophilic and exophilic). The model was used to analyse the impacts of insecticide-treated nets (ITNs), indoor residual spraying (IRS), and biolarvicides, used singly or in combinations, under varying intensities of pyrethroid resistance. The analysis was further expanded to explore the impacts of adding case management (treatment using artemisinin-based combinations) and immunization (RTS,S/AS01 and R21/Matrix-M vaccines). Results At moderate levels of pyrethroid resistance (50%), achieving at least 71% ITN coverage combined with either 50% IRS or 32% biolarvicide coverage reduces the effective reproduction number ( $$R_e$$ R e ) to below 1. However, at high resistance levels (exceeding 75%), the effective reproduction number ( $$R_e$$ R e ) consistently remains above 1, irrespective of the type or combination of vector control interventions. Adding immunization ( $$\ge $$ ≥ 40% coverage) to ITNs (80% coverage), along with effective treatment (80% coverage), can further reduce the proportion of infectious individuals to
Publikationsart: article
Dateibeschreibung: electronic resource
Sprache: English
ISSN: 1475-2875
Relation: https://doaj.org/toc/1475-2875
DOI: 10.1186/s12936-025-05633-x
Zugangs-URL: https://doaj.org/article/d244ed5163174a22bca7336abdabcfdb
Dokumentencode: edsdoj.244ed5163174a22bca7336abdabcfdb
Datenbank: Directory of Open Access Journals
Beschreibung
Abstract:Abstract Background Malaria control in sub-Saharan Africa faces significant challenges from biological threats, such as insecticide resistance and adaptive vector behaviours, as well as increasing financial constraints, which necessitate strategic intervention planning to maximize impact. This study assesses the effectiveness of combining vector control methods, case management, and immunoprevention to reduce malaria in Tanzania, considering varying intensities of insecticide resistance in the main vector species. Methods A compartmental model was developed to simulate malaria transmission, incorporating the dominant vectors: Anopheles funestus (anthropophilic and endophilic) and Anopheles arabiensis (zoophilic and exophilic). The model was used to analyse the impacts of insecticide-treated nets (ITNs), indoor residual spraying (IRS), and biolarvicides, used singly or in combinations, under varying intensities of pyrethroid resistance. The analysis was further expanded to explore the impacts of adding case management (treatment using artemisinin-based combinations) and immunization (RTS,S/AS01 and R21/Matrix-M vaccines). Results At moderate levels of pyrethroid resistance (50%), achieving at least 71% ITN coverage combined with either 50% IRS or 32% biolarvicide coverage reduces the effective reproduction number ( $$R_e$$ R e ) to below 1. However, at high resistance levels (exceeding 75%), the effective reproduction number ( $$R_e$$ R e ) consistently remains above 1, irrespective of the type or combination of vector control interventions. Adding immunization ( $$\ge $$ ≥ 40% coverage) to ITNs (80% coverage), along with effective treatment (80% coverage), can further reduce the proportion of infectious individuals to
ISSN:14752875
DOI:10.1186/s12936-025-05633-x