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The top 1%: quantifying the unequal distribution of malaria in Brazil
BACKGROUND: As malaria endemic countries strive towards elimination, intensified spatial heterogeneities of local transmission could undermine the effectiveness of traditional intervention policy. METHODS: The dynamic nature of large-scale and long-term malaria heterogeneity across Brazilian Amazon...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7880522/ https://www.ncbi.nlm.nih.gov/pubmed/33579298 http://dx.doi.org/10.1186/s12936-021-03614-4 |
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author | Lana, Raquel Nekkab, Narimane Siqueira, Andre M. Peterka, Cassio Marchesini, Paola Lacerda, Marcus Mueller, Ivo White, Michael Villela, Daniel |
author_facet | Lana, Raquel Nekkab, Narimane Siqueira, Andre M. Peterka, Cassio Marchesini, Paola Lacerda, Marcus Mueller, Ivo White, Michael Villela, Daniel |
author_sort | Lana, Raquel |
collection | PubMed |
description | BACKGROUND: As malaria endemic countries strive towards elimination, intensified spatial heterogeneities of local transmission could undermine the effectiveness of traditional intervention policy. METHODS: The dynamic nature of large-scale and long-term malaria heterogeneity across Brazilian Amazon basin were explored by (1) exploratory analysis of Brazil’s rich clinical malaria reporting database from 2004 to 2018, and (2) adapting Gini coefficient to study the distribution of malaria cases in the region. RESULTS: As transmission declined, heterogeneity increased with cases clustering into smaller subpopulations across the territory. In 2004, the 1% of health units with the greatest number of cases accounted for 46% of all reported Plasmodium vivax cases, whereas in 2018 52% of P. vivax cases occurred in the top 1% of health units. Plasmodium falciparum had lower levels of transmission than P. vivax, and also had greater levels of heterogeneity with 75% of cases occurring in the top 1% of health units. Age and gender stratification of cases revealed peri-domestic and occupational exposure settings that remained relatively stable. CONCLUSION: The pathway to decreasing incidence is characterized by higher proportions of cases in males, in adults, due to importation, and caused by P. vivax. Characterization of spatio-temporal heterogeneity and risk groups can aid stratification for improved malaria control towards elimination with increased heterogeneity potentially allowing for more efficient and cost-effective targeting. Although distinct epidemiological phenomena were clearly observed as malaria transmission declines, the authors argue that there is no canonical path to malaria elimination and a more targeted and dynamic surveillance will be needed if Brazil decides to adopt the elimination target. |
format | Online Article Text |
id | pubmed-7880522 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78805222021-02-16 The top 1%: quantifying the unequal distribution of malaria in Brazil Lana, Raquel Nekkab, Narimane Siqueira, Andre M. Peterka, Cassio Marchesini, Paola Lacerda, Marcus Mueller, Ivo White, Michael Villela, Daniel Malar J Research BACKGROUND: As malaria endemic countries strive towards elimination, intensified spatial heterogeneities of local transmission could undermine the effectiveness of traditional intervention policy. METHODS: The dynamic nature of large-scale and long-term malaria heterogeneity across Brazilian Amazon basin were explored by (1) exploratory analysis of Brazil’s rich clinical malaria reporting database from 2004 to 2018, and (2) adapting Gini coefficient to study the distribution of malaria cases in the region. RESULTS: As transmission declined, heterogeneity increased with cases clustering into smaller subpopulations across the territory. In 2004, the 1% of health units with the greatest number of cases accounted for 46% of all reported Plasmodium vivax cases, whereas in 2018 52% of P. vivax cases occurred in the top 1% of health units. Plasmodium falciparum had lower levels of transmission than P. vivax, and also had greater levels of heterogeneity with 75% of cases occurring in the top 1% of health units. Age and gender stratification of cases revealed peri-domestic and occupational exposure settings that remained relatively stable. CONCLUSION: The pathway to decreasing incidence is characterized by higher proportions of cases in males, in adults, due to importation, and caused by P. vivax. Characterization of spatio-temporal heterogeneity and risk groups can aid stratification for improved malaria control towards elimination with increased heterogeneity potentially allowing for more efficient and cost-effective targeting. Although distinct epidemiological phenomena were clearly observed as malaria transmission declines, the authors argue that there is no canonical path to malaria elimination and a more targeted and dynamic surveillance will be needed if Brazil decides to adopt the elimination target. BioMed Central 2021-02-12 /pmc/articles/PMC7880522/ /pubmed/33579298 http://dx.doi.org/10.1186/s12936-021-03614-4 Text en © The Author(s) 2021 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/. The Creative Commons Public Domain Dedication waiver (http://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 Lana, Raquel Nekkab, Narimane Siqueira, Andre M. Peterka, Cassio Marchesini, Paola Lacerda, Marcus Mueller, Ivo White, Michael Villela, Daniel The top 1%: quantifying the unequal distribution of malaria in Brazil |
title | The top 1%: quantifying the unequal distribution of malaria in Brazil |
title_full | The top 1%: quantifying the unequal distribution of malaria in Brazil |
title_fullStr | The top 1%: quantifying the unequal distribution of malaria in Brazil |
title_full_unstemmed | The top 1%: quantifying the unequal distribution of malaria in Brazil |
title_short | The top 1%: quantifying the unequal distribution of malaria in Brazil |
title_sort | top 1%: quantifying the unequal distribution of malaria in brazil |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7880522/ https://www.ncbi.nlm.nih.gov/pubmed/33579298 http://dx.doi.org/10.1186/s12936-021-03614-4 |
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