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Trends in malaria indicators after scale-up of community-based malaria management in Afghanistan

BACKGROUND: The Community-Based Malaria Management (CBMM) strategy, introduced in 2013 and expanded to all health facilities and health posts in Afghanistan by 2016, aimed to deliver rapid diagnostic testing and more timely treatment to all communities nationwide. In this study, trends for several m...

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Autores principales: Mahmoodi, Sayed Daoud, Atarud, Abdul Alim, Sediqi, Ahmad Walid, Gallalee, Sarah, McFarland, Willi, Aynie, Temesgen Birara, Nahzat, Mohmmad Sami, Hamid, Hamida, Qader, Ghulam Qader, Tamim, Mohammad Shoaib, Mirzazadeh, Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166477/
https://www.ncbi.nlm.nih.gov/pubmed/35659291
http://dx.doi.org/10.1186/s12936-022-04174-x
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author Mahmoodi, Sayed Daoud
Atarud, Abdul Alim
Sediqi, Ahmad Walid
Gallalee, Sarah
McFarland, Willi
Aynie, Temesgen Birara
Nahzat, Mohmmad Sami
Hamid, Hamida
Qader, Ghulam Qader
Tamim, Mohammad Shoaib
Mirzazadeh, Ali
author_facet Mahmoodi, Sayed Daoud
Atarud, Abdul Alim
Sediqi, Ahmad Walid
Gallalee, Sarah
McFarland, Willi
Aynie, Temesgen Birara
Nahzat, Mohmmad Sami
Hamid, Hamida
Qader, Ghulam Qader
Tamim, Mohammad Shoaib
Mirzazadeh, Ali
author_sort Mahmoodi, Sayed Daoud
collection PubMed
description BACKGROUND: The Community-Based Malaria Management (CBMM) strategy, introduced in 2013 and expanded to all health facilities and health posts in Afghanistan by 2016, aimed to deliver rapid diagnostic testing and more timely treatment to all communities nationwide. In this study, trends for several malaria outcome indicators were compared before and after the expansion of the CBMM strategy, using cross-sectional analysis of surveillance data. METHODS: Generalized estimating equation (GEE) models with a Poisson distribution were used to assess trends of three key outcomes before (2012–2015) and after (2016–2019) CBMM expansion. These outcomes were annual malaria incidence rate (both all and confirmed malaria incidence), malaria death rate, and malaria test positivity rate. Additional variables assessed included annual blood examination rates (ABER) and malaria confirmation rate. RESULTS: Average malaria incidence rates decreased from 13.1 before CBMM expansion to 10.0 per 1000 persons per year after CBMM expansion (P < 0.001). The time period after CBMM was expanded witnessed a 339% increase in confirmed malaria incidence as compared to the period before (IRR 3.39, 95% CI 2.18, 5.27; P < 0.001). In the period since the expansion of CBMM (2016–2019), overall malaria incidence rate declined by 19% each year (IRR 0.81, 95% CI 0.71,0.92; P = 0.001) and the malaria death rate declined by 85% each year (IRR 0.15, 95% CI 0.12, 0.20; P < 0.001). In comparing the before period to the after period, the ABER increased from 2.3 to 3.5 per 100 person/year, the malaria test positivity rate increased from 12.2 to 20.5%, and the confirmation rate increased from 21% before to 71% after CBMM. CONCLUSIONS: Afghanistan’s CBMM expansion to introduce rapid diagnostic tests and provide more timely treatment for malaria through all levels of care temporally correlates with significant improvement in multiple indicators of malaria control.
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spelling pubmed-91664772022-06-05 Trends in malaria indicators after scale-up of community-based malaria management in Afghanistan Mahmoodi, Sayed Daoud Atarud, Abdul Alim Sediqi, Ahmad Walid Gallalee, Sarah McFarland, Willi Aynie, Temesgen Birara Nahzat, Mohmmad Sami Hamid, Hamida Qader, Ghulam Qader Tamim, Mohammad Shoaib Mirzazadeh, Ali Malar J Research BACKGROUND: The Community-Based Malaria Management (CBMM) strategy, introduced in 2013 and expanded to all health facilities and health posts in Afghanistan by 2016, aimed to deliver rapid diagnostic testing and more timely treatment to all communities nationwide. In this study, trends for several malaria outcome indicators were compared before and after the expansion of the CBMM strategy, using cross-sectional analysis of surveillance data. METHODS: Generalized estimating equation (GEE) models with a Poisson distribution were used to assess trends of three key outcomes before (2012–2015) and after (2016–2019) CBMM expansion. These outcomes were annual malaria incidence rate (both all and confirmed malaria incidence), malaria death rate, and malaria test positivity rate. Additional variables assessed included annual blood examination rates (ABER) and malaria confirmation rate. RESULTS: Average malaria incidence rates decreased from 13.1 before CBMM expansion to 10.0 per 1000 persons per year after CBMM expansion (P < 0.001). The time period after CBMM was expanded witnessed a 339% increase in confirmed malaria incidence as compared to the period before (IRR 3.39, 95% CI 2.18, 5.27; P < 0.001). In the period since the expansion of CBMM (2016–2019), overall malaria incidence rate declined by 19% each year (IRR 0.81, 95% CI 0.71,0.92; P = 0.001) and the malaria death rate declined by 85% each year (IRR 0.15, 95% CI 0.12, 0.20; P < 0.001). In comparing the before period to the after period, the ABER increased from 2.3 to 3.5 per 100 person/year, the malaria test positivity rate increased from 12.2 to 20.5%, and the confirmation rate increased from 21% before to 71% after CBMM. CONCLUSIONS: Afghanistan’s CBMM expansion to introduce rapid diagnostic tests and provide more timely treatment for malaria through all levels of care temporally correlates with significant improvement in multiple indicators of malaria control. BioMed Central 2022-06-03 /pmc/articles/PMC9166477/ /pubmed/35659291 http://dx.doi.org/10.1186/s12936-022-04174-x 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
Mahmoodi, Sayed Daoud
Atarud, Abdul Alim
Sediqi, Ahmad Walid
Gallalee, Sarah
McFarland, Willi
Aynie, Temesgen Birara
Nahzat, Mohmmad Sami
Hamid, Hamida
Qader, Ghulam Qader
Tamim, Mohammad Shoaib
Mirzazadeh, Ali
Trends in malaria indicators after scale-up of community-based malaria management in Afghanistan
title Trends in malaria indicators after scale-up of community-based malaria management in Afghanistan
title_full Trends in malaria indicators after scale-up of community-based malaria management in Afghanistan
title_fullStr Trends in malaria indicators after scale-up of community-based malaria management in Afghanistan
title_full_unstemmed Trends in malaria indicators after scale-up of community-based malaria management in Afghanistan
title_short Trends in malaria indicators after scale-up of community-based malaria management in Afghanistan
title_sort trends in malaria indicators after scale-up of community-based malaria management in afghanistan
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166477/
https://www.ncbi.nlm.nih.gov/pubmed/35659291
http://dx.doi.org/10.1186/s12936-022-04174-x
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