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The use of spatial and genetic tools to assess Plasmodium falciparum transmission in Lusaka, Zambia between 2011 and 2015
BACKGROUND: Zambia has set itself the ambitious target of eliminating malaria by 2021. To continue tracking transmission to zero, new interventions, tools and approaches are required. METHODS: Urban reactive case detection (RCD) was performed in Lusaka city from 2011 to 2015 to better understand the...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6964105/ https://www.ncbi.nlm.nih.gov/pubmed/31941493 http://dx.doi.org/10.1186/s12936-020-3101-7 |
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author | Bridges, Daniel J. Chishimba, Sandra Mwenda, Mulenga Winters, Anna M. Slawsky, Erik Mambwe, Brenda Mulube, Conceptor Searle, Kelly M. Hakalima, Aves Mwenechanya, Roy Larsen, David A. |
author_facet | Bridges, Daniel J. Chishimba, Sandra Mwenda, Mulenga Winters, Anna M. Slawsky, Erik Mambwe, Brenda Mulube, Conceptor Searle, Kelly M. Hakalima, Aves Mwenechanya, Roy Larsen, David A. |
author_sort | Bridges, Daniel J. |
collection | PubMed |
description | BACKGROUND: Zambia has set itself the ambitious target of eliminating malaria by 2021. To continue tracking transmission to zero, new interventions, tools and approaches are required. METHODS: Urban reactive case detection (RCD) was performed in Lusaka city from 2011 to 2015 to better understand the location and drivers of malaria transmission. Briefly, index cases were followed to their home and all consenting individuals living in the index house and nine proximal houses were tested with a malaria rapid diagnostic test and treated if positive. A brief survey was performed and for certain responses, a dried blood spot sample collected for genetic analysis. Aggregate health facility data, individual RCD response data and genetic results were analysed spatially and against environmental correlates. RESULTS: Total number of malaria cases remained relatively constant, while the average age of incident cases and the proportion of incident cases reporting recent travel both increased. The estimated R(0) in Lusaka was < 1 throughout the study period. RCD responses performed within 250 m of uninhabited/vacant land were associated with a higher probability of identifying additional infections. CONCLUSIONS: Evidence suggests that the majority of malaria infections are imported from outside Lusaka. However there remains some level of local transmission occurring on the periphery of urban settlements, namely in the wet season. Unfortunately, due to the higher-than-expected complexity of infections and the small number of samples tested, genetic analysis was unable to identify any meaningful trends in the data. |
format | Online Article Text |
id | pubmed-6964105 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69641052020-01-22 The use of spatial and genetic tools to assess Plasmodium falciparum transmission in Lusaka, Zambia between 2011 and 2015 Bridges, Daniel J. Chishimba, Sandra Mwenda, Mulenga Winters, Anna M. Slawsky, Erik Mambwe, Brenda Mulube, Conceptor Searle, Kelly M. Hakalima, Aves Mwenechanya, Roy Larsen, David A. Malar J Research BACKGROUND: Zambia has set itself the ambitious target of eliminating malaria by 2021. To continue tracking transmission to zero, new interventions, tools and approaches are required. METHODS: Urban reactive case detection (RCD) was performed in Lusaka city from 2011 to 2015 to better understand the location and drivers of malaria transmission. Briefly, index cases were followed to their home and all consenting individuals living in the index house and nine proximal houses were tested with a malaria rapid diagnostic test and treated if positive. A brief survey was performed and for certain responses, a dried blood spot sample collected for genetic analysis. Aggregate health facility data, individual RCD response data and genetic results were analysed spatially and against environmental correlates. RESULTS: Total number of malaria cases remained relatively constant, while the average age of incident cases and the proportion of incident cases reporting recent travel both increased. The estimated R(0) in Lusaka was < 1 throughout the study period. RCD responses performed within 250 m of uninhabited/vacant land were associated with a higher probability of identifying additional infections. CONCLUSIONS: Evidence suggests that the majority of malaria infections are imported from outside Lusaka. However there remains some level of local transmission occurring on the periphery of urban settlements, namely in the wet season. Unfortunately, due to the higher-than-expected complexity of infections and the small number of samples tested, genetic analysis was unable to identify any meaningful trends in the data. BioMed Central 2020-01-15 /pmc/articles/PMC6964105/ /pubmed/31941493 http://dx.doi.org/10.1186/s12936-020-3101-7 Text en © The Author(s) 2020 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 Bridges, Daniel J. Chishimba, Sandra Mwenda, Mulenga Winters, Anna M. Slawsky, Erik Mambwe, Brenda Mulube, Conceptor Searle, Kelly M. Hakalima, Aves Mwenechanya, Roy Larsen, David A. The use of spatial and genetic tools to assess Plasmodium falciparum transmission in Lusaka, Zambia between 2011 and 2015 |
title | The use of spatial and genetic tools to assess Plasmodium falciparum transmission in Lusaka, Zambia between 2011 and 2015 |
title_full | The use of spatial and genetic tools to assess Plasmodium falciparum transmission in Lusaka, Zambia between 2011 and 2015 |
title_fullStr | The use of spatial and genetic tools to assess Plasmodium falciparum transmission in Lusaka, Zambia between 2011 and 2015 |
title_full_unstemmed | The use of spatial and genetic tools to assess Plasmodium falciparum transmission in Lusaka, Zambia between 2011 and 2015 |
title_short | The use of spatial and genetic tools to assess Plasmodium falciparum transmission in Lusaka, Zambia between 2011 and 2015 |
title_sort | use of spatial and genetic tools to assess plasmodium falciparum transmission in lusaka, zambia between 2011 and 2015 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6964105/ https://www.ncbi.nlm.nih.gov/pubmed/31941493 http://dx.doi.org/10.1186/s12936-020-3101-7 |
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