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Assessing national vector control micro-planning in Zambia using the 2021 malaria indicator survey

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Assessing national vector control micro-planning in Zambia using the 2021 malaria indicator survey. / Kyomuhangi, Irene; Andrada, Andrew; Mao, Zhiyuan et al.
In: Malaria Journal, Vol. 22, 365, 30.11.2023.

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Kyomuhangi, I, Andrada, A, Mao, Z, Pollard, D, Riley, C, Bennett, A, Hamainza, B, Slater, H, Millar, J, Eisele, TP & Silumbe, K 2023, 'Assessing national vector control micro-planning in Zambia using the 2021 malaria indicator survey', Malaria Journal, vol. 22, 365. https://doi.org/10.1186/s12936-023-04807-9

APA

Kyomuhangi, I., Andrada, A., Mao, Z., Pollard, D., Riley, C., Bennett, A., Hamainza, B., Slater, H., Millar, J., Eisele, T. P., & Silumbe, K. (2023). Assessing national vector control micro-planning in Zambia using the 2021 malaria indicator survey. Malaria Journal, 22, Article 365. https://doi.org/10.1186/s12936-023-04807-9

Vancouver

Kyomuhangi I, Andrada A, Mao Z, Pollard D, Riley C, Bennett A et al. Assessing national vector control micro-planning in Zambia using the 2021 malaria indicator survey. Malaria Journal. 2023 Nov 30;22:365. doi: 10.1186/s12936-023-04807-9

Author

Kyomuhangi, Irene ; Andrada, Andrew ; Mao, Zhiyuan et al. / Assessing national vector control micro-planning in Zambia using the 2021 malaria indicator survey. In: Malaria Journal. 2023 ; Vol. 22.

Bibtex

@article{77f2bbc8c3ac4859a94d90995ebd8f0d,
title = "Assessing national vector control micro-planning in Zambia using the 2021 malaria indicator survey",
abstract = "BackgroundIn 2020, the Zambia National Malaria Elimination Centre targeted the distribution of long-lasting insecticidal nets (LLINs) and indoor-residual spraying (IRS) campaigns based on sub-district micro-planning, where specified geographical areas at the health facility catchment level were assigned to receive either LLINs or IRS. Using data from the 2021 Malaria Indicator Survey (MIS), the objectives of this analysis were to (1) assess how well the micro-planning was followed in distributing LLINs and IRS, (2) investigate factors that contributed to whether households received what was planned, and (3) investigate how overall coverage observed in the 2021 MIS compared to the 2018 MIS conducted prior to micro-planning.MethodsHouseholds{\textquoteright} receipt of ≥ 1 LLIN, and/or IRS within the past 12 months in the 2021 MIS, was compared against the micro-planning area under which the households fell. GPS points for 3,550 households were overlayed onto digitized micro-planning maps in order to determine what micro-plan the households fell under, and thus whether they received their planned intervention. Mixed-effects regression models were conducted to investigate what factors affected whether these households: (1) received their planned intervention, and (2) received any intervention. Finally, coverage indicators between the 2021 and 2018 MIS were compared.ResultsOverall, 60.0% (95%CI 55.4, 64.4) of households under a micro-plan received their assigned intervention, with significantly higher coverage of the planned intervention in LLIN-assigned areas (75.7% [95%CI 69.5, 80.9]) compared to IRS-assigned areas (49.4% [95%CI: 44.4, 54.4]). Regression analysis indicated that households falling under the IRS micro-plan had significantly reduced odds of receiving their planned intervention (OR: 0.34 [95%CI 0.24, 0.48]), and significantly reduced odds of receiving any intervention (OR: 0.51 [95%CI 0.37, 0.72] ), compared to households under the LLIN micro-plan. Comparison between the 2021 and 2018 MIS indicated a 27% reduction in LLIN coverage nationally in 2021, while IRS coverage was similar. Additionally, between 2018 and 2021, there was a 13% increase in households that received neither intervention.ConclusionsThis analysis shows that although the micro-planning strategy adopted in 2020 worked much better for LLIN-assigned areas compared to IRS-assigned areas, there was reduced overall vector control coverage in 2021 compared to 2018 before micro-planning.",
keywords = "micro-planning, malaria, Vector control, HBHI, High Burden High Impact",
author = "Irene Kyomuhangi and Andrew Andrada and Zhiyuan Mao and Derek Pollard and Christina Riley and Adam Bennett and Busiku Hamainza and Hannah Slater and Justin Millar and Eisele, {Thomas P.} and Kafula Silumbe",
year = "2023",
month = nov,
day = "30",
doi = "10.1186/s12936-023-04807-9",
language = "English",
volume = "22",
journal = "Malaria Journal",
issn = "1475-2875",
publisher = "BioMed Central",

}

RIS

TY - JOUR

T1 - Assessing national vector control micro-planning in Zambia using the 2021 malaria indicator survey

AU - Kyomuhangi, Irene

AU - Andrada, Andrew

AU - Mao, Zhiyuan

AU - Pollard, Derek

AU - Riley, Christina

AU - Bennett, Adam

AU - Hamainza, Busiku

AU - Slater, Hannah

AU - Millar, Justin

AU - Eisele, Thomas P.

AU - Silumbe, Kafula

PY - 2023/11/30

Y1 - 2023/11/30

N2 - BackgroundIn 2020, the Zambia National Malaria Elimination Centre targeted the distribution of long-lasting insecticidal nets (LLINs) and indoor-residual spraying (IRS) campaigns based on sub-district micro-planning, where specified geographical areas at the health facility catchment level were assigned to receive either LLINs or IRS. Using data from the 2021 Malaria Indicator Survey (MIS), the objectives of this analysis were to (1) assess how well the micro-planning was followed in distributing LLINs and IRS, (2) investigate factors that contributed to whether households received what was planned, and (3) investigate how overall coverage observed in the 2021 MIS compared to the 2018 MIS conducted prior to micro-planning.MethodsHouseholds’ receipt of ≥ 1 LLIN, and/or IRS within the past 12 months in the 2021 MIS, was compared against the micro-planning area under which the households fell. GPS points for 3,550 households were overlayed onto digitized micro-planning maps in order to determine what micro-plan the households fell under, and thus whether they received their planned intervention. Mixed-effects regression models were conducted to investigate what factors affected whether these households: (1) received their planned intervention, and (2) received any intervention. Finally, coverage indicators between the 2021 and 2018 MIS were compared.ResultsOverall, 60.0% (95%CI 55.4, 64.4) of households under a micro-plan received their assigned intervention, with significantly higher coverage of the planned intervention in LLIN-assigned areas (75.7% [95%CI 69.5, 80.9]) compared to IRS-assigned areas (49.4% [95%CI: 44.4, 54.4]). Regression analysis indicated that households falling under the IRS micro-plan had significantly reduced odds of receiving their planned intervention (OR: 0.34 [95%CI 0.24, 0.48]), and significantly reduced odds of receiving any intervention (OR: 0.51 [95%CI 0.37, 0.72] ), compared to households under the LLIN micro-plan. Comparison between the 2021 and 2018 MIS indicated a 27% reduction in LLIN coverage nationally in 2021, while IRS coverage was similar. Additionally, between 2018 and 2021, there was a 13% increase in households that received neither intervention.ConclusionsThis analysis shows that although the micro-planning strategy adopted in 2020 worked much better for LLIN-assigned areas compared to IRS-assigned areas, there was reduced overall vector control coverage in 2021 compared to 2018 before micro-planning.

AB - BackgroundIn 2020, the Zambia National Malaria Elimination Centre targeted the distribution of long-lasting insecticidal nets (LLINs) and indoor-residual spraying (IRS) campaigns based on sub-district micro-planning, where specified geographical areas at the health facility catchment level were assigned to receive either LLINs or IRS. Using data from the 2021 Malaria Indicator Survey (MIS), the objectives of this analysis were to (1) assess how well the micro-planning was followed in distributing LLINs and IRS, (2) investigate factors that contributed to whether households received what was planned, and (3) investigate how overall coverage observed in the 2021 MIS compared to the 2018 MIS conducted prior to micro-planning.MethodsHouseholds’ receipt of ≥ 1 LLIN, and/or IRS within the past 12 months in the 2021 MIS, was compared against the micro-planning area under which the households fell. GPS points for 3,550 households were overlayed onto digitized micro-planning maps in order to determine what micro-plan the households fell under, and thus whether they received their planned intervention. Mixed-effects regression models were conducted to investigate what factors affected whether these households: (1) received their planned intervention, and (2) received any intervention. Finally, coverage indicators between the 2021 and 2018 MIS were compared.ResultsOverall, 60.0% (95%CI 55.4, 64.4) of households under a micro-plan received their assigned intervention, with significantly higher coverage of the planned intervention in LLIN-assigned areas (75.7% [95%CI 69.5, 80.9]) compared to IRS-assigned areas (49.4% [95%CI: 44.4, 54.4]). Regression analysis indicated that households falling under the IRS micro-plan had significantly reduced odds of receiving their planned intervention (OR: 0.34 [95%CI 0.24, 0.48]), and significantly reduced odds of receiving any intervention (OR: 0.51 [95%CI 0.37, 0.72] ), compared to households under the LLIN micro-plan. Comparison between the 2021 and 2018 MIS indicated a 27% reduction in LLIN coverage nationally in 2021, while IRS coverage was similar. Additionally, between 2018 and 2021, there was a 13% increase in households that received neither intervention.ConclusionsThis analysis shows that although the micro-planning strategy adopted in 2020 worked much better for LLIN-assigned areas compared to IRS-assigned areas, there was reduced overall vector control coverage in 2021 compared to 2018 before micro-planning.

KW - micro-planning

KW - malaria

KW - Vector control

KW - HBHI

KW - High Burden High Impact

U2 - 10.1186/s12936-023-04807-9

DO - 10.1186/s12936-023-04807-9

M3 - Journal article

VL - 22

JO - Malaria Journal

JF - Malaria Journal

SN - 1475-2875

M1 - 365

ER -