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Estimating the optimal interval between rounds of indoor residual spraying of insecticide using malaria incidence data from cohort studies

BACKGROUND: Indoor residual spraying (IRS) reduces vector densities and malaria transmission, however, the most effective spraying intervals for IRS have not been well established. We estimated the optimal timing interval for IRS using a statistical approach. METHODS: Six rounds of IRS were implemen...

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Autores principales: Mugenyi, Levicatus, Nankabirwa, Joaniter I., Arinaitwe, Emmanuel, Rek, John, Hens, Niel, Kamya, Moses, Dorsey, Grant
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7584202/
https://www.ncbi.nlm.nih.gov/pubmed/33095812
http://dx.doi.org/10.1371/journal.pone.0241033
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author Mugenyi, Levicatus
Nankabirwa, Joaniter I.
Arinaitwe, Emmanuel
Rek, John
Hens, Niel
Kamya, Moses
Dorsey, Grant
author_facet Mugenyi, Levicatus
Nankabirwa, Joaniter I.
Arinaitwe, Emmanuel
Rek, John
Hens, Niel
Kamya, Moses
Dorsey, Grant
author_sort Mugenyi, Levicatus
collection PubMed
description BACKGROUND: Indoor residual spraying (IRS) reduces vector densities and malaria transmission, however, the most effective spraying intervals for IRS have not been well established. We estimated the optimal timing interval for IRS using a statistical approach. METHODS: Six rounds of IRS were implemented in Tororo District, a historically high malaria transmission setting in Uganda, during the study period (3 rounds with bendiocarb active ingredient (Ficam®): December 2014 to December 2015, and 3 rounds with pirimiphos methyl active ingredient (Actellic 300®CS): June 2016 to July 2018). A generalized additive model was used to estimate the optimal timing interval for IRS based on the predicted malaria incidence. The model was fitted to clinical incidence data from a cohort of children aged 0.5–10 years from selected households observed throughout the study period. RESULTS: 494 children, 67% aged less than 5 years at enrolment were analysed. Six-months period incidence of malaria decreased from 2.96 per person-years at the baseline to 1.74 following the first round of IRS and then to 0.02 after 6 rounds of IRS. The optimal time interval for IRS differed between bendiocarb and pirimiphos methyl and by IRS round. To retain an optimum impact, bendiocarb would require respraying 17 (95% CI: 14.2–21.0) weeks after application whereas pirimiphos methyl could remain impactful for 40 (95% CI: 37.0–42.8) weeks, although in the final year this estimates 36 (95% CI: 32.7–37.7) weeks. However, we could not estimate from the data the optimal time after the second and third rounds of bendiocarb and after the second round of pirimiphos methyl. Neither the amount of rainfall nor the EIR nor the distribution of nets were found to be statistically significant for determining the time period between spray rounds. CONCLUSION: In our setting, the effect of the two IRS products was distinct. Statistically, pirimiphos methyl provided a longer window of protection than bendiocarb, although impact varied between different spray rounds and years which was not explained by rainfall or EIR or distribution of nets in our statistical approach. Understanding the effectiveness of IRS and how long it lasts can help for planning campaigns, but one should consider the financial cost and insecticide resistance. Monitoring the timing of spray campaigns using clinical incidence could be repeated in future programs to help determine the average period of protectivity of these products.
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spelling pubmed-75842022020-10-28 Estimating the optimal interval between rounds of indoor residual spraying of insecticide using malaria incidence data from cohort studies Mugenyi, Levicatus Nankabirwa, Joaniter I. Arinaitwe, Emmanuel Rek, John Hens, Niel Kamya, Moses Dorsey, Grant PLoS One Research Article BACKGROUND: Indoor residual spraying (IRS) reduces vector densities and malaria transmission, however, the most effective spraying intervals for IRS have not been well established. We estimated the optimal timing interval for IRS using a statistical approach. METHODS: Six rounds of IRS were implemented in Tororo District, a historically high malaria transmission setting in Uganda, during the study period (3 rounds with bendiocarb active ingredient (Ficam®): December 2014 to December 2015, and 3 rounds with pirimiphos methyl active ingredient (Actellic 300®CS): June 2016 to July 2018). A generalized additive model was used to estimate the optimal timing interval for IRS based on the predicted malaria incidence. The model was fitted to clinical incidence data from a cohort of children aged 0.5–10 years from selected households observed throughout the study period. RESULTS: 494 children, 67% aged less than 5 years at enrolment were analysed. Six-months period incidence of malaria decreased from 2.96 per person-years at the baseline to 1.74 following the first round of IRS and then to 0.02 after 6 rounds of IRS. The optimal time interval for IRS differed between bendiocarb and pirimiphos methyl and by IRS round. To retain an optimum impact, bendiocarb would require respraying 17 (95% CI: 14.2–21.0) weeks after application whereas pirimiphos methyl could remain impactful for 40 (95% CI: 37.0–42.8) weeks, although in the final year this estimates 36 (95% CI: 32.7–37.7) weeks. However, we could not estimate from the data the optimal time after the second and third rounds of bendiocarb and after the second round of pirimiphos methyl. Neither the amount of rainfall nor the EIR nor the distribution of nets were found to be statistically significant for determining the time period between spray rounds. CONCLUSION: In our setting, the effect of the two IRS products was distinct. Statistically, pirimiphos methyl provided a longer window of protection than bendiocarb, although impact varied between different spray rounds and years which was not explained by rainfall or EIR or distribution of nets in our statistical approach. Understanding the effectiveness of IRS and how long it lasts can help for planning campaigns, but one should consider the financial cost and insecticide resistance. Monitoring the timing of spray campaigns using clinical incidence could be repeated in future programs to help determine the average period of protectivity of these products. Public Library of Science 2020-10-23 /pmc/articles/PMC7584202/ /pubmed/33095812 http://dx.doi.org/10.1371/journal.pone.0241033 Text en © 2020 Mugenyi et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Mugenyi, Levicatus
Nankabirwa, Joaniter I.
Arinaitwe, Emmanuel
Rek, John
Hens, Niel
Kamya, Moses
Dorsey, Grant
Estimating the optimal interval between rounds of indoor residual spraying of insecticide using malaria incidence data from cohort studies
title Estimating the optimal interval between rounds of indoor residual spraying of insecticide using malaria incidence data from cohort studies
title_full Estimating the optimal interval between rounds of indoor residual spraying of insecticide using malaria incidence data from cohort studies
title_fullStr Estimating the optimal interval between rounds of indoor residual spraying of insecticide using malaria incidence data from cohort studies
title_full_unstemmed Estimating the optimal interval between rounds of indoor residual spraying of insecticide using malaria incidence data from cohort studies
title_short Estimating the optimal interval between rounds of indoor residual spraying of insecticide using malaria incidence data from cohort studies
title_sort estimating the optimal interval between rounds of indoor residual spraying of insecticide using malaria incidence data from cohort studies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7584202/
https://www.ncbi.nlm.nih.gov/pubmed/33095812
http://dx.doi.org/10.1371/journal.pone.0241033
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