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Annual distributions of insecticide-treated nets to schoolchildren and other key populations to maintain higher ITN access than with mass campaigns: a modelling study for mainland Tanzania

BACKGROUND: Since 2013, the National Malaria Control Programme in mainland Tanzania has deployed annual distributions of insecticide-treated nets (ITNs) through primary schools to maintain ITN access and use. This School Net Programme (SNP) is slated to be used throughout mainland Tanzania by 2023....

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Autores principales: Koenker, Hannah, Worges, Matt, Kamala, Benjamin, Gitanya, Peter, Chacky, Frank, Lazaro, Samwel, Mwalimu, Charles Dismas, Aaron, Sijenunu, Mwingizi, Deodatus, Dadi, David, Selby, Ato, Serbantez, Naomi, Msangi, Lulu, Loll, Dana, Yukich, Joshua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9417077/
https://www.ncbi.nlm.nih.gov/pubmed/36028866
http://dx.doi.org/10.1186/s12936-022-04272-w
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author Koenker, Hannah
Worges, Matt
Kamala, Benjamin
Gitanya, Peter
Chacky, Frank
Lazaro, Samwel
Mwalimu, Charles Dismas
Aaron, Sijenunu
Mwingizi, Deodatus
Dadi, David
Selby, Ato
Serbantez, Naomi
Msangi, Lulu
Loll, Dana
Yukich, Joshua
author_facet Koenker, Hannah
Worges, Matt
Kamala, Benjamin
Gitanya, Peter
Chacky, Frank
Lazaro, Samwel
Mwalimu, Charles Dismas
Aaron, Sijenunu
Mwingizi, Deodatus
Dadi, David
Selby, Ato
Serbantez, Naomi
Msangi, Lulu
Loll, Dana
Yukich, Joshua
author_sort Koenker, Hannah
collection PubMed
description BACKGROUND: Since 2013, the National Malaria Control Programme in mainland Tanzania has deployed annual distributions of insecticide-treated nets (ITNs) through primary schools to maintain ITN access and use. This School Net Programme (SNP) is slated to be used throughout mainland Tanzania by 2023. This modelling study projects ITN access under different ITN distribution strategies and quantification approaches. METHODS: A stock and flow model with a Tanzania-specific ITN decay rate was used to calculate annual net crops for four different ITN distribution strategies, varying quantification approaches within each strategy. Annual nets-per-capita (NPC) was derived from net crop and a standardized population projection. Nonparametric conditional quartile functions for the proportion of the population with access to an ITN (ITN access) as a function of NPC were used to predict ITN access and its variability. The number of ITNs required under the varying quantification approaches for the period 2022–2030 was calculated. RESULTS: Annual SNP quantified using a “population times 15%” approach maintained ITN access between 80 and 90%, when combined with reproductive and child health (RCH) ITN distribution, requiring 133.2 million ITNs. The same strategy quantified with “population times 22%” maintained ITN access at or above 90%, requiring 175.5 million ITNs. Under 5-year mass campaigns with RCH distribution for pregnant women and infants, ITN access reached 90% post-campaign and fell to 27–35% in the 4th year post-campaign, requiring 120.5 million ITNs over 8 years. 3-yearly mass campaigns with RCH reached 100% ITN access post-campaign and fell to 70% in the 3rd year post-campaign, requiring 154.4 million ITNs. CONCLUSION: Given an ITN retention time in Tanzania of 2.15 years, the model predicts that mass campaigns conducted every 3 years in mainland Tanzania will not maintain ITN access at target levels of 80%, even with strong RCH channels. Mainland Tanzania can however expect to maintain ITN access at 80% or above by quantifying SNP using “population × 15%”, in addition to RCH ITN delivery. This strategy requires 14% fewer ITNs than a 3-year campaign strategy while providing more consistent ITN coverage. Meeting the targets of 80% ITN use would require maintaining 90% ITN access, achievable using a “population times 22%” quantification approach for SNP. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12936-022-04272-w.
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spelling pubmed-94170772022-08-28 Annual distributions of insecticide-treated nets to schoolchildren and other key populations to maintain higher ITN access than with mass campaigns: a modelling study for mainland Tanzania Koenker, Hannah Worges, Matt Kamala, Benjamin Gitanya, Peter Chacky, Frank Lazaro, Samwel Mwalimu, Charles Dismas Aaron, Sijenunu Mwingizi, Deodatus Dadi, David Selby, Ato Serbantez, Naomi Msangi, Lulu Loll, Dana Yukich, Joshua Malar J Research BACKGROUND: Since 2013, the National Malaria Control Programme in mainland Tanzania has deployed annual distributions of insecticide-treated nets (ITNs) through primary schools to maintain ITN access and use. This School Net Programme (SNP) is slated to be used throughout mainland Tanzania by 2023. This modelling study projects ITN access under different ITN distribution strategies and quantification approaches. METHODS: A stock and flow model with a Tanzania-specific ITN decay rate was used to calculate annual net crops for four different ITN distribution strategies, varying quantification approaches within each strategy. Annual nets-per-capita (NPC) was derived from net crop and a standardized population projection. Nonparametric conditional quartile functions for the proportion of the population with access to an ITN (ITN access) as a function of NPC were used to predict ITN access and its variability. The number of ITNs required under the varying quantification approaches for the period 2022–2030 was calculated. RESULTS: Annual SNP quantified using a “population times 15%” approach maintained ITN access between 80 and 90%, when combined with reproductive and child health (RCH) ITN distribution, requiring 133.2 million ITNs. The same strategy quantified with “population times 22%” maintained ITN access at or above 90%, requiring 175.5 million ITNs. Under 5-year mass campaigns with RCH distribution for pregnant women and infants, ITN access reached 90% post-campaign and fell to 27–35% in the 4th year post-campaign, requiring 120.5 million ITNs over 8 years. 3-yearly mass campaigns with RCH reached 100% ITN access post-campaign and fell to 70% in the 3rd year post-campaign, requiring 154.4 million ITNs. CONCLUSION: Given an ITN retention time in Tanzania of 2.15 years, the model predicts that mass campaigns conducted every 3 years in mainland Tanzania will not maintain ITN access at target levels of 80%, even with strong RCH channels. Mainland Tanzania can however expect to maintain ITN access at 80% or above by quantifying SNP using “population × 15%”, in addition to RCH ITN delivery. This strategy requires 14% fewer ITNs than a 3-year campaign strategy while providing more consistent ITN coverage. Meeting the targets of 80% ITN use would require maintaining 90% ITN access, achievable using a “population times 22%” quantification approach for SNP. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12936-022-04272-w. BioMed Central 2022-08-26 /pmc/articles/PMC9417077/ /pubmed/36028866 http://dx.doi.org/10.1186/s12936-022-04272-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Koenker, Hannah
Worges, Matt
Kamala, Benjamin
Gitanya, Peter
Chacky, Frank
Lazaro, Samwel
Mwalimu, Charles Dismas
Aaron, Sijenunu
Mwingizi, Deodatus
Dadi, David
Selby, Ato
Serbantez, Naomi
Msangi, Lulu
Loll, Dana
Yukich, Joshua
Annual distributions of insecticide-treated nets to schoolchildren and other key populations to maintain higher ITN access than with mass campaigns: a modelling study for mainland Tanzania
title Annual distributions of insecticide-treated nets to schoolchildren and other key populations to maintain higher ITN access than with mass campaigns: a modelling study for mainland Tanzania
title_full Annual distributions of insecticide-treated nets to schoolchildren and other key populations to maintain higher ITN access than with mass campaigns: a modelling study for mainland Tanzania
title_fullStr Annual distributions of insecticide-treated nets to schoolchildren and other key populations to maintain higher ITN access than with mass campaigns: a modelling study for mainland Tanzania
title_full_unstemmed Annual distributions of insecticide-treated nets to schoolchildren and other key populations to maintain higher ITN access than with mass campaigns: a modelling study for mainland Tanzania
title_short Annual distributions of insecticide-treated nets to schoolchildren and other key populations to maintain higher ITN access than with mass campaigns: a modelling study for mainland Tanzania
title_sort annual distributions of insecticide-treated nets to schoolchildren and other key populations to maintain higher itn access than with mass campaigns: a modelling study for mainland tanzania
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9417077/
https://www.ncbi.nlm.nih.gov/pubmed/36028866
http://dx.doi.org/10.1186/s12936-022-04272-w
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