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Mapping Potential Amplification and Transmission Hotspots for MERS-CoV, Kenya

Dromedary camels have been implicated consistently as the source of Middle East respiratory syndrome coronavirus (MERS-CoV) human infections and attention to prevent and control it has focused on camels. To understanding the epidemiological role of camels in the transmission of MERS-CoV, we utilized...

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Autores principales: Gikonyo, Stephen, Kimani, Tabitha, Matere, Joseph, Kimutai, Joshua, Kiambi, Stella G., Bitek, Austine O., Juma Ngeiywa, K. J. Z., Makonnen, Yilma J., Tripodi, Astrid, Morzaria, Subhash, Lubroth, Juan, Rugalema, Gabriel, Fasina, Folorunso Oludayo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088189/
https://www.ncbi.nlm.nih.gov/pubmed/29549589
http://dx.doi.org/10.1007/s10393-018-1317-6
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author Gikonyo, Stephen
Kimani, Tabitha
Matere, Joseph
Kimutai, Joshua
Kiambi, Stella G.
Bitek, Austine O.
Juma Ngeiywa, K. J. Z.
Makonnen, Yilma J.
Tripodi, Astrid
Morzaria, Subhash
Lubroth, Juan
Rugalema, Gabriel
Fasina, Folorunso Oludayo
author_facet Gikonyo, Stephen
Kimani, Tabitha
Matere, Joseph
Kimutai, Joshua
Kiambi, Stella G.
Bitek, Austine O.
Juma Ngeiywa, K. J. Z.
Makonnen, Yilma J.
Tripodi, Astrid
Morzaria, Subhash
Lubroth, Juan
Rugalema, Gabriel
Fasina, Folorunso Oludayo
author_sort Gikonyo, Stephen
collection PubMed
description Dromedary camels have been implicated consistently as the source of Middle East respiratory syndrome coronavirus (MERS-CoV) human infections and attention to prevent and control it has focused on camels. To understanding the epidemiological role of camels in the transmission of MERS-CoV, we utilized an iterative empirical process in Geographic Information System (GIS) to identify and qualify potential hotspots for maintenance and circulation of MERS-CoV, and produced risk-based surveillance sites in Kenya. Data on camel population and distribution were used to develop camel density map, while camel farming system was defined using multi-factorial criteria including the agro-ecological zones (AEZs), production and marketing practices. Primary and secondary MERS-CoV seroprevalence data from specific sites were analyzed, and location-based prevalence matching with camel densities was conducted. High-risk convergence points (migration zones, trade routes, camel markets, slaughter slabs) were profiled and frequent cross-border camel movement mapped. Results showed that high camel-dense areas and interaction (markets and migration zones) were potential hotspot for transmission and spread. Cross-border contacts occurred with in-migrated herds at hotspot locations. AEZ differential did not influence risk distribution and plausible risk factors for spatial MERS-CoV hotspots were camel densities, previous cases of MERS-CoV, high seroprevalence and points of camel convergences. Although Kenyan camels are predisposed to MERS-CoV, no shedding is documented to date. These potential hotspots, determined using anthropogenic, system and trade characterizations should guide selection of sampling/surveillance sites, high-risk locations, critical areas for interventions and policy development in Kenya, as well as instigate further virological examination of camels. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10393-018-1317-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-70881892020-03-23 Mapping Potential Amplification and Transmission Hotspots for MERS-CoV, Kenya Gikonyo, Stephen Kimani, Tabitha Matere, Joseph Kimutai, Joshua Kiambi, Stella G. Bitek, Austine O. Juma Ngeiywa, K. J. Z. Makonnen, Yilma J. Tripodi, Astrid Morzaria, Subhash Lubroth, Juan Rugalema, Gabriel Fasina, Folorunso Oludayo Ecohealth Original Contribution Dromedary camels have been implicated consistently as the source of Middle East respiratory syndrome coronavirus (MERS-CoV) human infections and attention to prevent and control it has focused on camels. To understanding the epidemiological role of camels in the transmission of MERS-CoV, we utilized an iterative empirical process in Geographic Information System (GIS) to identify and qualify potential hotspots for maintenance and circulation of MERS-CoV, and produced risk-based surveillance sites in Kenya. Data on camel population and distribution were used to develop camel density map, while camel farming system was defined using multi-factorial criteria including the agro-ecological zones (AEZs), production and marketing practices. Primary and secondary MERS-CoV seroprevalence data from specific sites were analyzed, and location-based prevalence matching with camel densities was conducted. High-risk convergence points (migration zones, trade routes, camel markets, slaughter slabs) were profiled and frequent cross-border camel movement mapped. Results showed that high camel-dense areas and interaction (markets and migration zones) were potential hotspot for transmission and spread. Cross-border contacts occurred with in-migrated herds at hotspot locations. AEZ differential did not influence risk distribution and plausible risk factors for spatial MERS-CoV hotspots were camel densities, previous cases of MERS-CoV, high seroprevalence and points of camel convergences. Although Kenyan camels are predisposed to MERS-CoV, no shedding is documented to date. These potential hotspots, determined using anthropogenic, system and trade characterizations should guide selection of sampling/surveillance sites, high-risk locations, critical areas for interventions and policy development in Kenya, as well as instigate further virological examination of camels. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10393-018-1317-6) contains supplementary material, which is available to authorized users. Springer US 2018-03-16 2018 /pmc/articles/PMC7088189/ /pubmed/29549589 http://dx.doi.org/10.1007/s10393-018-1317-6 Text en © EcoHealth Alliance 2018 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Contribution
Gikonyo, Stephen
Kimani, Tabitha
Matere, Joseph
Kimutai, Joshua
Kiambi, Stella G.
Bitek, Austine O.
Juma Ngeiywa, K. J. Z.
Makonnen, Yilma J.
Tripodi, Astrid
Morzaria, Subhash
Lubroth, Juan
Rugalema, Gabriel
Fasina, Folorunso Oludayo
Mapping Potential Amplification and Transmission Hotspots for MERS-CoV, Kenya
title Mapping Potential Amplification and Transmission Hotspots for MERS-CoV, Kenya
title_full Mapping Potential Amplification and Transmission Hotspots for MERS-CoV, Kenya
title_fullStr Mapping Potential Amplification and Transmission Hotspots for MERS-CoV, Kenya
title_full_unstemmed Mapping Potential Amplification and Transmission Hotspots for MERS-CoV, Kenya
title_short Mapping Potential Amplification and Transmission Hotspots for MERS-CoV, Kenya
title_sort mapping potential amplification and transmission hotspots for mers-cov, kenya
topic Original Contribution
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088189/
https://www.ncbi.nlm.nih.gov/pubmed/29549589
http://dx.doi.org/10.1007/s10393-018-1317-6
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