Spatial clustering of fourteen tick species across districts of Zimbabwe.

Disease management Getis-Ord Gi* statistic Hotspots Livestock disease transmission Tick species

Journal

BMC veterinary research
ISSN: 1746-6148
Titre abrégé: BMC Vet Res
Pays: England
ID NLM: 101249759

Informations de publication

Date de publication:
27 Feb 2021
Historique:
received: 18 07 2019
accepted: 08 02 2021
entrez: 28 2 2021
pubmed: 1 3 2021
medline: 7 8 2021
Statut: epublish

Résumé

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. 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. 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.

Sections du résumé

BACKGROUND 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 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 CONCLUSIONS
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.

Identifiants

pubmed: 33639938
doi: 10.1186/s12917-021-02792-2
pii: 10.1186/s12917-021-02792-2
pmc: PMC7913385
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

91

Références

Trop Anim Health Prod. 2017 Jan;49(1):195-199
pubmed: 27785763
Malar J. 2014 Nov 25;13:457
pubmed: 25421720
J Clin Microbiol. 1991 Feb;29(2):256-9
pubmed: 2007631
Onderstepoort J Vet Res. 2016 Mar 09;83(1):1004
pubmed: 26974176
Trop Anim Health Prod. 1991 Aug;23(3):161-6
pubmed: 1763438
Malar J. 2013 Dec 01;12:437
pubmed: 24289177
Exp Appl Acarol. 1985 Dec;1(4):317-25
pubmed: 3870962
Spat Spatiotemporal Epidemiol. 2009 Oct-Dec;1(1):19-29
pubmed: 20234799
Ticks Tick Borne Dis. 2016 Feb;7(1):1-9
pubmed: 26234572
Malar J. 2011 Apr 20;10:98
pubmed: 21507217
Parasit Vectors. 2015 Jan 22;8:41
pubmed: 25608875
Ticks Tick Borne Dis. 2016 Jun;7(4):549-64
pubmed: 26972687
Prev Vet Med. 1999 Apr 9;39(3):191-210
pubmed: 10327438
Onderstepoort J Vet Res. 2017 Jun 27;84(1):e1-e8
pubmed: 28697608
Med Vet Entomol. 2017 Mar;31(1):78-87
pubmed: 27935088
Exp Appl Acarol. 1994 Jul;18(7):383-407
pubmed: 7628253
Parasit Vectors. 2015 Jan 14;8:24
pubmed: 25586007
Trends Parasitol. 2018 Jun;34(6):447-450
pubmed: 29548888

Auteurs

Munyaradzi Davis Shekede (MD)

Department of Geography Geospatial Sciences and Earth Observation, Faculty of Science, University of Zimbabwe, MP167 Mount Pleasant, Harare, Zimbabwe. shekede@gmail.com.

Silvester Maravanyika Chikerema (SM)

Department of Clinical Veterinary Studies, Faculty of Veterinary Science, University of Zimbabwe, MP167 Mount Pleasant, Harare, Zimbabwe.

Moregood Spargo (M)

Department of Livestock and Veterinary Services, 18 Borrowdale Rd, Harare, Zimbabwe.

Isaiah Gwitira (I)

Department of Geography Geospatial Sciences and Earth Observation, Faculty of Science, University of Zimbabwe, MP167 Mount Pleasant, Harare, Zimbabwe.

Samuel Kusangaya (S)

Department of Geography Geospatial Sciences and Earth Observation, Faculty of Science, University of Zimbabwe, MP167 Mount Pleasant, Harare, Zimbabwe.

Aldridge Nyasha Mazhindu (AN)

Department of Geography Geospatial Sciences and Earth Observation, Faculty of Science, University of Zimbabwe, MP167 Mount Pleasant, Harare, Zimbabwe.

Daud Nyosi Ndhlovu (DN)

Department of Clinical Veterinary Studies, Faculty of Veterinary Science, University of Zimbabwe, MP167 Mount Pleasant, Harare, Zimbabwe.

Articles similaires

Robotic Surgical Procedures Animals Humans Telemedicine Models, Animal

Odour generalisation and detection dog training.

Lyn Caldicott, Thomas W Pike, Helen E Zulch et al.
1.00
Animals Odorants Dogs Generalization, Psychological Smell
Animals TOR Serine-Threonine Kinases Colorectal Neoplasms Colitis Mice
Animals Tail Swine Behavior, Animal Animal Husbandry

Classifications MeSH