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Spatial clustering of fourteen tick species across districts of Zimbabwe

BACKGROUND: Ticks transmit several diseases that result in high morbidity and mortality in livestock. Tick-borne diseases are an economic burden that negatively affect livestock production, cost countries billions of dollars through vaccine procurement and other disease management efforts. Thus, und...

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Autores principales: Shekede, Munyaradzi Davis, Chikerema, Silvester Maravanyika, Spargo, Moregood, Gwitira, Isaiah, Kusangaya, Samuel, Mazhindu, Aldridge Nyasha, Ndhlovu, Daud Nyosi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7913385/
https://www.ncbi.nlm.nih.gov/pubmed/33639938
http://dx.doi.org/10.1186/s12917-021-02792-2
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author Shekede, Munyaradzi Davis
Chikerema, Silvester Maravanyika
Spargo, Moregood
Gwitira, Isaiah
Kusangaya, Samuel
Mazhindu, Aldridge Nyasha
Ndhlovu, Daud Nyosi
author_facet Shekede, Munyaradzi Davis
Chikerema, Silvester Maravanyika
Spargo, Moregood
Gwitira, Isaiah
Kusangaya, Samuel
Mazhindu, Aldridge Nyasha
Ndhlovu, Daud Nyosi
author_sort Shekede, Munyaradzi Davis
collection PubMed
description BACKGROUND: Ticks transmit several diseases that result in high morbidity and mortality in livestock. Tick-borne diseases are an economic burden that negatively affect livestock production, cost countries billions of dollars through vaccine procurement and other disease management efforts. Thus, understanding the spatial distribution of tick hotspots is critical for identifying potential areas of high tick-borne disease transmission and setting up priority areas for targeted tick disease management. In this study, optimised hotspot analysis was applied to detect hotspots and coldspots of 14 common tick species in Zimbabwe. Data on the spatial distribution of tick species were obtained from the Epidemiology Unit of the Division of Veterinary Field Services of Zimbabwe. RESULTS: A total of 55,133 ticks were collected with Rhipicephalus decoloratus being the most common species (28.7%), followed by Amblyomma hebraeum (20.6%), and Rhipicephalus sanguineus sensu lato (0.06%) being the least common species. Results also showed that tick hotspots are species-specific with particular tick species occupying defined localities in the country. For instance, Amblyomma variegatum, Rhipicephalus appendiculatus, Rhipicephalus decoloratus, Rhipicephalus compostus, Rhipicephalus microplus, Rhipicephalus pravus, and Rhipicephalus simus were concentrated in the north and north eastern districts of the country. In contrast, Amblyomma hebraeum, Hyalomma rufipes, Hyalomma trancatum and Rhipicephalus evertsi evertsi were prevalent in the southern districts of Zimbabwe. CONCLUSION: The occurrence of broadly similar hotspots of several tick species in different districts suggests presence of spatial overlaps in the niche of the tick species. As ticks are vectors of several tick-borne diseases, there is high likelihood of multiple disease transmission in the same geographic region. This study is the first in Zimbabwe to demonstrate unique spatial patterns in the distribution of several tick species across the country. The results of this study provide an important opportunity for the development of spatially-targeted tick-borne disease management strategies.
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spelling pubmed-79133852021-03-02 Spatial clustering of fourteen tick species across districts of Zimbabwe Shekede, Munyaradzi Davis Chikerema, Silvester Maravanyika Spargo, Moregood Gwitira, Isaiah Kusangaya, Samuel Mazhindu, Aldridge Nyasha Ndhlovu, Daud Nyosi BMC Vet Res Research Article BACKGROUND: Ticks transmit several diseases that result in high morbidity and mortality in livestock. Tick-borne diseases are an economic burden that negatively affect livestock production, cost countries billions of dollars through vaccine procurement and other disease management efforts. Thus, understanding the spatial distribution of tick hotspots is critical for identifying potential areas of high tick-borne disease transmission and setting up priority areas for targeted tick disease management. In this study, optimised hotspot analysis was applied to detect hotspots and coldspots of 14 common tick species in Zimbabwe. Data on the spatial distribution of tick species were obtained from the Epidemiology Unit of the Division of Veterinary Field Services of Zimbabwe. RESULTS: A total of 55,133 ticks were collected with Rhipicephalus decoloratus being the most common species (28.7%), followed by Amblyomma hebraeum (20.6%), and Rhipicephalus sanguineus sensu lato (0.06%) being the least common species. Results also showed that tick hotspots are species-specific with particular tick species occupying defined localities in the country. For instance, Amblyomma variegatum, Rhipicephalus appendiculatus, Rhipicephalus decoloratus, Rhipicephalus compostus, Rhipicephalus microplus, Rhipicephalus pravus, and Rhipicephalus simus were concentrated in the north and north eastern districts of the country. In contrast, Amblyomma hebraeum, Hyalomma rufipes, Hyalomma trancatum and Rhipicephalus evertsi evertsi were prevalent in the southern districts of Zimbabwe. CONCLUSION: The occurrence of broadly similar hotspots of several tick species in different districts suggests presence of spatial overlaps in the niche of the tick species. As ticks are vectors of several tick-borne diseases, there is high likelihood of multiple disease transmission in the same geographic region. This study is the first in Zimbabwe to demonstrate unique spatial patterns in the distribution of several tick species across the country. The results of this study provide an important opportunity for the development of spatially-targeted tick-borne disease management strategies. BioMed Central 2021-02-27 /pmc/articles/PMC7913385/ /pubmed/33639938 http://dx.doi.org/10.1186/s12917-021-02792-2 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 Article
Shekede, Munyaradzi Davis
Chikerema, Silvester Maravanyika
Spargo, Moregood
Gwitira, Isaiah
Kusangaya, Samuel
Mazhindu, Aldridge Nyasha
Ndhlovu, Daud Nyosi
Spatial clustering of fourteen tick species across districts of Zimbabwe
title Spatial clustering of fourteen tick species across districts of Zimbabwe
title_full Spatial clustering of fourteen tick species across districts of Zimbabwe
title_fullStr Spatial clustering of fourteen tick species across districts of Zimbabwe
title_full_unstemmed Spatial clustering of fourteen tick species across districts of Zimbabwe
title_short Spatial clustering of fourteen tick species across districts of Zimbabwe
title_sort spatial clustering of fourteen tick species across districts of zimbabwe
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7913385/
https://www.ncbi.nlm.nih.gov/pubmed/33639938
http://dx.doi.org/10.1186/s12917-021-02792-2
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