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
© 2022. The Author(s)..
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2022 |
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| Erschienen: |
2022 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:21 |
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| Enthalten in: |
Malaria journal - 21(2022), 1 vom: 26. Aug., Seite 246 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Koenker, Hannah [VerfasserIn] |
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| Links: |
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| Themen: |
Bed net |
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| Anmerkungen: |
Date Completed 30.08.2022 Date Revised 30.08.2022 published: Electronic Citation Status MEDLINE |
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| doi: |
10.1186/s12936-022-04272-w |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM345463153 |
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| 100 | 1 | |a Koenker, Hannah |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Annual distributions of insecticide-treated nets to schoolchildren and other key populations to maintain higher ITN access than with mass campaigns |b a modelling study for mainland Tanzania |
| 264 | 1 | |c 2022 | |
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| 500 | |a Date Completed 30.08.2022 | ||
| 500 | |a Date Revised 30.08.2022 | ||
| 500 | |a published: Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2022. The Author(s). | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Bed net | |
| 650 | 4 | |a Distribution | |
| 650 | 4 | |a ITN | |
| 650 | 4 | |a Insecticide-treated net | |
| 650 | 4 | |a Malaria control | |
| 650 | 4 | |a Quantification | |
| 650 | 4 | |a School children | |
| 650 | 4 | |a Tanzania | |
| 650 | 4 | |a Vector control | |
| 650 | 7 | |a Insecticides |2 NLM | |
| 700 | 1 | |a Worges, Matt |e verfasserin |4 aut | |
| 700 | 1 | |a Kamala, Benjamin |e verfasserin |4 aut | |
| 700 | 1 | |a Gitanya, Peter |e verfasserin |4 aut | |
| 700 | 1 | |a Chacky, Frank |e verfasserin |4 aut | |
| 700 | 1 | |a Lazaro, Samwel |e verfasserin |4 aut | |
| 700 | 1 | |a Mwalimu, Charles Dismas |e verfasserin |4 aut | |
| 700 | 1 | |a Aaron, Sijenunu |e verfasserin |4 aut | |
| 700 | 1 | |a Mwingizi, Deodatus |e verfasserin |4 aut | |
| 700 | 1 | |a Dadi, David |e verfasserin |4 aut | |
| 700 | 1 | |a Selby, Ato |e verfasserin |4 aut | |
| 700 | 1 | |a Serbantez, Naomi |e verfasserin |4 aut | |
| 700 | 1 | |a Msangi, Lulu |e verfasserin |4 aut | |
| 700 | 1 | |a Loll, Dana |e verfasserin |4 aut | |
| 700 | 1 | |a Yukich, Joshua |e verfasserin |4 aut | |
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