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Assessing the impact of the “malaria supporters project” intervention to malaria control in the Brazilian Amazon: an interrupted time-series analysis
BACKGROUND: In 2021, Brazil was responsible for more than 25% of malaria cases in the Americas. Although the country has shown a reduction of cases in the last decades, in 2021 it reported over 139,000 malaria cases. One major malaria control strategy implemented in Brazil is the “Malaria Supporters...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10504781/ https://www.ncbi.nlm.nih.gov/pubmed/37715245 http://dx.doi.org/10.1186/s12936-023-04706-z |
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author | Garcia, Klauss Kleydmann Sabino Soremekun, Seyi Bottomley, Christian Abrahão, Amanda Amaral de Miranda, Cristiano Barreto Drakeley, Chris Ramalho, Walter Massa Siqueira, André M. |
author_facet | Garcia, Klauss Kleydmann Sabino Soremekun, Seyi Bottomley, Christian Abrahão, Amanda Amaral de Miranda, Cristiano Barreto Drakeley, Chris Ramalho, Walter Massa Siqueira, André M. |
author_sort | Garcia, Klauss Kleydmann Sabino |
collection | PubMed |
description | BACKGROUND: In 2021, Brazil was responsible for more than 25% of malaria cases in the Americas. Although the country has shown a reduction of cases in the last decades, in 2021 it reported over 139,000 malaria cases. One major malaria control strategy implemented in Brazil is the “Malaria Supporters Project”, which has been active since 2012 and is directed to municipalities responsible for most Brazil’s cases. The objective of this study is to analyse the intervention effect on the selected municipalities. METHODS: An ecological time-series analysis was conducted to assess the “Malaria Supporters Project” effect. The study used data on Annual Parasitic Incidence (API) spanning the period from 2003 to 2020 across 48 intervention municipalities and 88 control municipalities. To evaluate the intervention effect a Prais–Winsten segmented regression model was fitted to the difference in malaria Annual Parasitic Incidence (API) between control and intervention areas. RESULTS: The intervention group registered 1,104,430 cases between 2012 and 2020, a 50.6% reduction compared to total cases between 2003 and 2011. In 2020 there were 95,621 cases, 50.4% fewer than in 2011. The number of high-risk municipalities (API > 50 cases/1000) reduced from 31 to 2011 to 17 in 2020. The segmented regression showed a significant 42.0 cases/1000 residents annual decrease in API compared to control group. CONCLUSIONS: The intervention is not a silver bullet to control malaria, but it has reduced API in locations with high malaria endemicity. Furthermore, the model has the potential to be replicated in other countries with similar epidemiological scenarios. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12936-023-04706-z. |
format | Online Article Text |
id | pubmed-10504781 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105047812023-09-17 Assessing the impact of the “malaria supporters project” intervention to malaria control in the Brazilian Amazon: an interrupted time-series analysis Garcia, Klauss Kleydmann Sabino Soremekun, Seyi Bottomley, Christian Abrahão, Amanda Amaral de Miranda, Cristiano Barreto Drakeley, Chris Ramalho, Walter Massa Siqueira, André M. Malar J Research BACKGROUND: In 2021, Brazil was responsible for more than 25% of malaria cases in the Americas. Although the country has shown a reduction of cases in the last decades, in 2021 it reported over 139,000 malaria cases. One major malaria control strategy implemented in Brazil is the “Malaria Supporters Project”, which has been active since 2012 and is directed to municipalities responsible for most Brazil’s cases. The objective of this study is to analyse the intervention effect on the selected municipalities. METHODS: An ecological time-series analysis was conducted to assess the “Malaria Supporters Project” effect. The study used data on Annual Parasitic Incidence (API) spanning the period from 2003 to 2020 across 48 intervention municipalities and 88 control municipalities. To evaluate the intervention effect a Prais–Winsten segmented regression model was fitted to the difference in malaria Annual Parasitic Incidence (API) between control and intervention areas. RESULTS: The intervention group registered 1,104,430 cases between 2012 and 2020, a 50.6% reduction compared to total cases between 2003 and 2011. In 2020 there were 95,621 cases, 50.4% fewer than in 2011. The number of high-risk municipalities (API > 50 cases/1000) reduced from 31 to 2011 to 17 in 2020. The segmented regression showed a significant 42.0 cases/1000 residents annual decrease in API compared to control group. CONCLUSIONS: The intervention is not a silver bullet to control malaria, but it has reduced API in locations with high malaria endemicity. Furthermore, the model has the potential to be replicated in other countries with similar epidemiological scenarios. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12936-023-04706-z. BioMed Central 2023-09-16 /pmc/articles/PMC10504781/ /pubmed/37715245 http://dx.doi.org/10.1186/s12936-023-04706-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Garcia, Klauss Kleydmann Sabino Soremekun, Seyi Bottomley, Christian Abrahão, Amanda Amaral de Miranda, Cristiano Barreto Drakeley, Chris Ramalho, Walter Massa Siqueira, André M. Assessing the impact of the “malaria supporters project” intervention to malaria control in the Brazilian Amazon: an interrupted time-series analysis |
title | Assessing the impact of the “malaria supporters project” intervention to malaria control in the Brazilian Amazon: an interrupted time-series analysis |
title_full | Assessing the impact of the “malaria supporters project” intervention to malaria control in the Brazilian Amazon: an interrupted time-series analysis |
title_fullStr | Assessing the impact of the “malaria supporters project” intervention to malaria control in the Brazilian Amazon: an interrupted time-series analysis |
title_full_unstemmed | Assessing the impact of the “malaria supporters project” intervention to malaria control in the Brazilian Amazon: an interrupted time-series analysis |
title_short | Assessing the impact of the “malaria supporters project” intervention to malaria control in the Brazilian Amazon: an interrupted time-series analysis |
title_sort | assessing the impact of the “malaria supporters project” intervention to malaria control in the brazilian amazon: an interrupted time-series analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10504781/ https://www.ncbi.nlm.nih.gov/pubmed/37715245 http://dx.doi.org/10.1186/s12936-023-04706-z |
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