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Spatial targeting of Screening + Eave tubes (SET), a house-based malaria control intervention, in Côte d’Ivoire

A geostatistical modelling study

Dados Bibliográficos

ID19590937
AutoresTiago Canelas (0000-0003-2064-8456, Liverpool School of Tropical Medicine, autor correspondente), Edward Thomsen (0000-0003-1136-6430, Liverpool School of Tropical Medicine), Daniel Mcdermott (0000-0001-7005-6446), Daniel P McDermott (0000-0001-7799-0928, Liverpool School of Tropical Medicine), Eleanore D Sternberg (0000-0003-3514-4111, Liverpool School of Tropical Medicine), Matthew B Thomas (0000-0002-7684-0386, Pennsylvania State University), Eve Worrall (0000-0001-9147-3388, Liverpool School of Tropical Medicine)
EditoresLouisa Alexandra Messenger
Ano2021
Volume1
Fascículo11
Páginase0000030
Data de publicação2021-11-15
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoPLOS Global Public Health (JOURNAL)
Identificadores do periódicoISSN: 2767-3375 • E-ISSN: 2767-3375
EditoraPublic Library of Science (PLoS) (PUBLISHER)
DOI10.1371/journal.pgph.0000030
PMID36962107
OpenAlexW3213715764
IdiomaEN
Referências citadas27

New malaria control tools and tailoring interventions to local contexts are needed to reduce the malaria burden and meet global goals. The housing modification, screening plus a targeted house-based insecticide delivery system called the In2Care® Eave Tubes, has been shown to reduce clinical malaria in a large cluster randomised controlled trial. However, the widescale suitability of this approach is unknown. We aimed to predict household suitability and define the most appropriate locations for ground-truthing where Screening + Eave Tubes (SET) could be implemented across Côte d’Ivoire. We classified DHS sampled households into suitable for SET based on the walls and roof materials. We fitted a Bayesian beta-binomial logistic model using the integrated nested Laplace approximation (INLA) to predict suitability of SET and to define priority locations for ground-truthing and to calculate the potential population coverage and costs. Based on currently available data on house type and malaria infection rate, 31% of the total population and 17.5% of the population in areas of high malaria transmission live in areas suitable for SET. The estimated cost of implementing SET in suitable high malaria transmission areas would be $46m ($13m –$108m). Ground-truthing and more studies should be conducted to evaluate the efficacy and feasibility of SET in these settings. The study provides an example of implementing strategies to reflect local socio-economic and epidemiological factors, and move beyond blanket, one-size-fits-all strategies

Environmental health · Geography · Malaria · Population · Computer Science · Global Maternal and Child Health · Malaria Research and Control · Medicine · Mosquito-borne diseases and control

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