Spatial targeting of Screening + Eave tubes (SET), a house-based malaria control intervention, in Côte d’Ivoire
A geostatistical modelling study
Bibliographic Data
| ID | 19590937 |
|---|---|
| Authors | Tiago Canelas (0000-0003-2064-8456, Liverpool School of Tropical Medicine, corresponding author), 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) |
| Editors | Louisa Alexandra Messenger |
| Year | 2021 |
| Volume | 1 |
| Issue | 11 |
| Pages | e0000030 |
| Publication date | 2021-11-15 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | PLOS Global Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2767-3375 • E-ISSN: 2767-3375 |
| Publisher | Public Library of Science (PLoS) (PUBLISHER) |
| DOI | 10.1371/journal.pgph.0000030 |
| PMID | 36962107 |
| OpenAlex | W3213715764 |
| Language | EN |
| References cited | 27 |
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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| Citation velocity | historical |
|---|---|
| Highly cited | No |