Spatial spillover analysis of a cluster-randomized trial against dengue vectors in Trujillo, Venezuela.
Background The ability of cluster-randomized trials to capture mass or indirect effects is one reason for their increasing use to test interventions against vector-borne diseases such as malaria and dengue. For the same reason, however, the independence of clusters may be compromised if the distance...
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ftdoajarticles:oai:doaj.org/article:d6070899d6e24a3289ea5f352d557e1e 2023-05-15T15:11:30+02:00 Spatial spillover analysis of a cluster-randomized trial against dengue vectors in Trujillo, Venezuela. Neal Alexander Audrey Lenhart Karim Anaya-Izquierdo 2020-09-01T00:00:00Z https://doi.org/10.1371/journal.pntd.0008576 https://doaj.org/article/d6070899d6e24a3289ea5f352d557e1e EN eng Public Library of Science (PLoS) https://doi.org/10.1371/journal.pntd.0008576 https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0008576 https://doaj.org/article/d6070899d6e24a3289ea5f352d557e1e PLoS Neglected Tropical Diseases, Vol 14, Iss 9, p e0008576 (2020) Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2020 ftdoajarticles https://doi.org/10.1371/journal.pntd.0008576 2022-12-31T10:37:01Z Background The ability of cluster-randomized trials to capture mass or indirect effects is one reason for their increasing use to test interventions against vector-borne diseases such as malaria and dengue. For the same reason, however, the independence of clusters may be compromised if the distances between clusters is too small to ensure independence. In other words they may be subject to spillover effects. Methods We distinguish two types of spatial spillover effect: between-cluster dependence in outcomes, or spillover dependence; and modification of the intervention effect according to distance to the intervention arm, or spillover indirect effect. We estimate these effects in trial of insecticide-treated materials against the dengue mosquito vector, Aedes aegypti, in Venezuela, the endpoint being the Breteau index. We use a novel random effects Poisson spatial regression model. Spillover dependence is incorporated via an orthogonalized intrinsic conditional autoregression (ICAR) model. Spillover indirect effects are incorporated via the number of locations within a certain radius, set at 200m, that are in the intervention arm. Results From the model with ICAR spatial dependence, and the degree of surroundedness, the intervention effect is estimated as 0.74-favouring the intervention-with a 95% credible interval of 0.34 to 1.69. The point estimates are stronger with increasing surroundedness within intervention locations. Conclusion In this trial there is some evidence of a spillover indirect effect of the intervention, with the Breteau index tending to be lower in locations which are more surrounded by locations in the intervention arm. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic PLOS Neglected Tropical Diseases 14 9 e0008576 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
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English |
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Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
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Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 Neal Alexander Audrey Lenhart Karim Anaya-Izquierdo Spatial spillover analysis of a cluster-randomized trial against dengue vectors in Trujillo, Venezuela. |
topic_facet |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
description |
Background The ability of cluster-randomized trials to capture mass or indirect effects is one reason for their increasing use to test interventions against vector-borne diseases such as malaria and dengue. For the same reason, however, the independence of clusters may be compromised if the distances between clusters is too small to ensure independence. In other words they may be subject to spillover effects. Methods We distinguish two types of spatial spillover effect: between-cluster dependence in outcomes, or spillover dependence; and modification of the intervention effect according to distance to the intervention arm, or spillover indirect effect. We estimate these effects in trial of insecticide-treated materials against the dengue mosquito vector, Aedes aegypti, in Venezuela, the endpoint being the Breteau index. We use a novel random effects Poisson spatial regression model. Spillover dependence is incorporated via an orthogonalized intrinsic conditional autoregression (ICAR) model. Spillover indirect effects are incorporated via the number of locations within a certain radius, set at 200m, that are in the intervention arm. Results From the model with ICAR spatial dependence, and the degree of surroundedness, the intervention effect is estimated as 0.74-favouring the intervention-with a 95% credible interval of 0.34 to 1.69. The point estimates are stronger with increasing surroundedness within intervention locations. Conclusion In this trial there is some evidence of a spillover indirect effect of the intervention, with the Breteau index tending to be lower in locations which are more surrounded by locations in the intervention arm. |
format |
Article in Journal/Newspaper |
author |
Neal Alexander Audrey Lenhart Karim Anaya-Izquierdo |
author_facet |
Neal Alexander Audrey Lenhart Karim Anaya-Izquierdo |
author_sort |
Neal Alexander |
title |
Spatial spillover analysis of a cluster-randomized trial against dengue vectors in Trujillo, Venezuela. |
title_short |
Spatial spillover analysis of a cluster-randomized trial against dengue vectors in Trujillo, Venezuela. |
title_full |
Spatial spillover analysis of a cluster-randomized trial against dengue vectors in Trujillo, Venezuela. |
title_fullStr |
Spatial spillover analysis of a cluster-randomized trial against dengue vectors in Trujillo, Venezuela. |
title_full_unstemmed |
Spatial spillover analysis of a cluster-randomized trial against dengue vectors in Trujillo, Venezuela. |
title_sort |
spatial spillover analysis of a cluster-randomized trial against dengue vectors in trujillo, venezuela. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2020 |
url |
https://doi.org/10.1371/journal.pntd.0008576 https://doaj.org/article/d6070899d6e24a3289ea5f352d557e1e |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
PLoS Neglected Tropical Diseases, Vol 14, Iss 9, p e0008576 (2020) |
op_relation |
https://doi.org/10.1371/journal.pntd.0008576 https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0008576 https://doaj.org/article/d6070899d6e24a3289ea5f352d557e1e |
op_doi |
https://doi.org/10.1371/journal.pntd.0008576 |
container_title |
PLOS Neglected Tropical Diseases |
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14 |
container_issue |
9 |
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e0008576 |
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