Your browser doesn't support javascript.
loading
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.
Afiliación
  • Gikonyo S; Emergency Centre for Transboundary Animal Diseases - (ECTAD) Kenya, Food and Agriculture Organization of the United Nations (FAO), UN Office in Nairobi, Gigiri, Kenya.
  • Kimani T; Emergency Centre for Transboundary Animal Diseases - (ECTAD), Regional Office for East Africa Kenya, Food and Agriculture Organization of the United Nations (FAO), UN Office in Nairobi, Gigiri, Kenya.
  • Matere J; Emergency Centre for Transboundary Animal Diseases - (ECTAD) Kenya, Food and Agriculture Organization of the United Nations (FAO), UN Office in Nairobi, Gigiri, Kenya.
  • Kimutai J; Emergency Centre for Transboundary Animal Diseases - (ECTAD) Kenya, Food and Agriculture Organization of the United Nations (FAO), UN Office in Nairobi, Gigiri, Kenya.
  • Kiambi SG; Emergency Centre for Transboundary Animal Diseases - (ECTAD) Kenya, Food and Agriculture Organization of the United Nations (FAO), UN Office in Nairobi, Gigiri, Kenya.
  • Bitek AO; Emergency Centre for Transboundary Animal Diseases - (ECTAD) Kenya, Food and Agriculture Organization of the United Nations (FAO), UN Office in Nairobi, Gigiri, Kenya.
  • Juma Ngeiywa KJZ; Directorate of Veterinary Services, State Department of Livestock, Ministry of Agriculture, Livestock and Fisheries, Nairobi, Kenya.
  • Makonnen YJ; Emergency Centre for Transboundary Animal Diseases - (ECTAD), Regional Office for East Africa Kenya, Food and Agriculture Organization of the United Nations (FAO), UN Office in Nairobi, Gigiri, Kenya.
  • Tripodi A; Animal Health Service, Animal Production and Health Division, Food and Agriculture Organization of the UN (FAO), Rome, Italy.
  • Morzaria S; Animal Health Service, Animal Production and Health Division, Food and Agriculture Organization of the UN (FAO), Rome, Italy.
  • Lubroth J; Animal Health Service, Animal Production and Health Division, Food and Agriculture Organization of the UN (FAO), Rome, Italy.
  • Rugalema G; Emergency Centre for Transboundary Animal Diseases - (ECTAD) Kenya, Food and Agriculture Organization of the United Nations (FAO), UN Office in Nairobi, Gigiri, Kenya.
  • Fasina FO; Emergency Centre for Transboundary Animal Diseases - (ECTAD) Kenya, Food and Agriculture Organization of the United Nations (FAO), UN Office in Nairobi, Gigiri, Kenya. Folorunso.fasina@fao.org.
Ecohealth ; 15(2): 372-387, 2018 06.
Article en En | MEDLINE | ID: mdl-29549589
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.
Asunto(s)
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Reservorios de Enfermedades / Camelus / Infecciones por Coronavirus / Mapeo Geográfico / Enfermedades de los Animales Tipo de estudio: Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Animals País/Región como asunto: Africa Idioma: En Revista: Ecohealth Año: 2018 Tipo del documento: Article País de afiliación: Kenia

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Reservorios de Enfermedades / Camelus / Infecciones por Coronavirus / Mapeo Geográfico / Enfermedades de los Animales Tipo de estudio: Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Animals País/Región como asunto: Africa Idioma: En Revista: Ecohealth Año: 2018 Tipo del documento: Article País de afiliación: Kenia