Cargando…

Estimating the effect of the wMel release programme on the incidence of dengue and chikungunya in Rio de Janeiro, Brazil: a spatiotemporal modelling study

BACKGROUND: Introgression of genetic material from species of the insect bacteria Wolbachia into populations of Aedes aegypti mosquitoes has been shown in randomised and non-randomised trials to reduce the incidence of dengue; however, evidence for the real-world effectiveness of large-scale deploym...

Descripción completa

Detalles Bibliográficos
Autores principales: Ribeiro dos Santos, Gabriel, Durovni, Betina, Saraceni, Valeria, Souza Riback, Thais Irene, Pinto, Sofia B, Anders, Katherine L, Moreira, Luciano A, Salje, Henrik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Science ;, The Lancet Pub. Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630156/
https://www.ncbi.nlm.nih.gov/pubmed/36182679
http://dx.doi.org/10.1016/S1473-3099(22)00436-4
_version_ 1784823539869679616
author Ribeiro dos Santos, Gabriel
Durovni, Betina
Saraceni, Valeria
Souza Riback, Thais Irene
Pinto, Sofia B
Anders, Katherine L
Moreira, Luciano A
Salje, Henrik
author_facet Ribeiro dos Santos, Gabriel
Durovni, Betina
Saraceni, Valeria
Souza Riback, Thais Irene
Pinto, Sofia B
Anders, Katherine L
Moreira, Luciano A
Salje, Henrik
author_sort Ribeiro dos Santos, Gabriel
collection PubMed
description BACKGROUND: Introgression of genetic material from species of the insect bacteria Wolbachia into populations of Aedes aegypti mosquitoes has been shown in randomised and non-randomised trials to reduce the incidence of dengue; however, evidence for the real-world effectiveness of large-scale deployments of Wolbachia-infected mosquitoes for arboviral disease control in endemic settings is still scarce. A large Wolbachia (wMel strain) release programme was implemented in 2017 in Rio de Janeiro, Brazil. We aimed to assess the effect of this programme on the incidence of dengue and chikungunya in the city. METHODS: 67 million wMel-infected mosquitoes were released across 28 489 locations over an area of 86·8 km(2) in Rio de Janeiro between Aug 29, 2017 and Dec 27, 2019. Following releases, mosquitoes were trapped and the presence of wMel was recorded. In this spatiotemporal modelling study, we assessed the effect of the release programme on the incidence of dengue and chikungunya. We used spatiotemporally explicit mathematical models applied to geocoded dengue cases (N=283 270) from 2010 to 2019 and chikungunya cases (N=57 705) from 2016 to 2019. FINDINGS: On average, 32% of mosquitoes collected from the release zones between 1 month and 29 months after the initial release tested positive for wMel. Reduced wMel introgression occurred in locations and seasonal periods in which cases of dengue and chikungunya were historically high, with a decrease to 25% of mosquitoes testing positive for wMel during months in which disease incidence was at its highest. Despite incomplete introgression, we found that the releases were associated with a 38% (95% CI 32–44) reduction in the incidence of dengue and a 10% (4–16) reduction in the incidence of chikungunya. INTERPRETATION: Stable establishment of wMel in the geographically diverse, urban setting of Rio de Janeiro seems to be more complicated than has been observed elsewhere. However, even intermediate levels of wMel seem to reduce the incidence of disease caused by two arboviruses. These findings will help to guide future release programmes. FUNDING: Bill & Melinda Gates Foundation and the European Research Council.
format Online
Article
Text
id pubmed-9630156
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier Science ;, The Lancet Pub. Group
record_format MEDLINE/PubMed
spelling pubmed-96301562022-11-07 Estimating the effect of the wMel release programme on the incidence of dengue and chikungunya in Rio de Janeiro, Brazil: a spatiotemporal modelling study Ribeiro dos Santos, Gabriel Durovni, Betina Saraceni, Valeria Souza Riback, Thais Irene Pinto, Sofia B Anders, Katherine L Moreira, Luciano A Salje, Henrik Lancet Infect Dis Articles BACKGROUND: Introgression of genetic material from species of the insect bacteria Wolbachia into populations of Aedes aegypti mosquitoes has been shown in randomised and non-randomised trials to reduce the incidence of dengue; however, evidence for the real-world effectiveness of large-scale deployments of Wolbachia-infected mosquitoes for arboviral disease control in endemic settings is still scarce. A large Wolbachia (wMel strain) release programme was implemented in 2017 in Rio de Janeiro, Brazil. We aimed to assess the effect of this programme on the incidence of dengue and chikungunya in the city. METHODS: 67 million wMel-infected mosquitoes were released across 28 489 locations over an area of 86·8 km(2) in Rio de Janeiro between Aug 29, 2017 and Dec 27, 2019. Following releases, mosquitoes were trapped and the presence of wMel was recorded. In this spatiotemporal modelling study, we assessed the effect of the release programme on the incidence of dengue and chikungunya. We used spatiotemporally explicit mathematical models applied to geocoded dengue cases (N=283 270) from 2010 to 2019 and chikungunya cases (N=57 705) from 2016 to 2019. FINDINGS: On average, 32% of mosquitoes collected from the release zones between 1 month and 29 months after the initial release tested positive for wMel. Reduced wMel introgression occurred in locations and seasonal periods in which cases of dengue and chikungunya were historically high, with a decrease to 25% of mosquitoes testing positive for wMel during months in which disease incidence was at its highest. Despite incomplete introgression, we found that the releases were associated with a 38% (95% CI 32–44) reduction in the incidence of dengue and a 10% (4–16) reduction in the incidence of chikungunya. INTERPRETATION: Stable establishment of wMel in the geographically diverse, urban setting of Rio de Janeiro seems to be more complicated than has been observed elsewhere. However, even intermediate levels of wMel seem to reduce the incidence of disease caused by two arboviruses. These findings will help to guide future release programmes. FUNDING: Bill & Melinda Gates Foundation and the European Research Council. Elsevier Science ;, The Lancet Pub. Group 2022-11 /pmc/articles/PMC9630156/ /pubmed/36182679 http://dx.doi.org/10.1016/S1473-3099(22)00436-4 Text en © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Articles
Ribeiro dos Santos, Gabriel
Durovni, Betina
Saraceni, Valeria
Souza Riback, Thais Irene
Pinto, Sofia B
Anders, Katherine L
Moreira, Luciano A
Salje, Henrik
Estimating the effect of the wMel release programme on the incidence of dengue and chikungunya in Rio de Janeiro, Brazil: a spatiotemporal modelling study
title Estimating the effect of the wMel release programme on the incidence of dengue and chikungunya in Rio de Janeiro, Brazil: a spatiotemporal modelling study
title_full Estimating the effect of the wMel release programme on the incidence of dengue and chikungunya in Rio de Janeiro, Brazil: a spatiotemporal modelling study
title_fullStr Estimating the effect of the wMel release programme on the incidence of dengue and chikungunya in Rio de Janeiro, Brazil: a spatiotemporal modelling study
title_full_unstemmed Estimating the effect of the wMel release programme on the incidence of dengue and chikungunya in Rio de Janeiro, Brazil: a spatiotemporal modelling study
title_short Estimating the effect of the wMel release programme on the incidence of dengue and chikungunya in Rio de Janeiro, Brazil: a spatiotemporal modelling study
title_sort estimating the effect of the wmel release programme on the incidence of dengue and chikungunya in rio de janeiro, brazil: a spatiotemporal modelling study
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630156/
https://www.ncbi.nlm.nih.gov/pubmed/36182679
http://dx.doi.org/10.1016/S1473-3099(22)00436-4
work_keys_str_mv AT ribeirodossantosgabriel estimatingtheeffectofthewmelreleaseprogrammeontheincidenceofdengueandchikungunyainriodejaneirobrazilaspatiotemporalmodellingstudy
AT durovnibetina estimatingtheeffectofthewmelreleaseprogrammeontheincidenceofdengueandchikungunyainriodejaneirobrazilaspatiotemporalmodellingstudy
AT saracenivaleria estimatingtheeffectofthewmelreleaseprogrammeontheincidenceofdengueandchikungunyainriodejaneirobrazilaspatiotemporalmodellingstudy
AT souzaribackthaisirene estimatingtheeffectofthewmelreleaseprogrammeontheincidenceofdengueandchikungunyainriodejaneirobrazilaspatiotemporalmodellingstudy
AT pintosofiab estimatingtheeffectofthewmelreleaseprogrammeontheincidenceofdengueandchikungunyainriodejaneirobrazilaspatiotemporalmodellingstudy
AT anderskatherinel estimatingtheeffectofthewmelreleaseprogrammeontheincidenceofdengueandchikungunyainriodejaneirobrazilaspatiotemporalmodellingstudy
AT moreiralucianoa estimatingtheeffectofthewmelreleaseprogrammeontheincidenceofdengueandchikungunyainriodejaneirobrazilaspatiotemporalmodellingstudy
AT saljehenrik estimatingtheeffectofthewmelreleaseprogrammeontheincidenceofdengueandchikungunyainriodejaneirobrazilaspatiotemporalmodellingstudy